版本修改为3.4.0

请不要在没有先创建Issue的情况下创建Pull Request。

## 变更的目的是什么

XXXXX

## 简短的更新日志

- [Bugfix]修复重置offset接口调用过多问题
- [Bugfix]修复消费组Offset重置后，提示重置成功，但是前端不刷新数据，Offset无变化的问题
- [Optimize]消费组详情控制数据实时刷新

## 验证这一变化

XXXX

请遵循此清单，以帮助我们快速轻松地整合您的贡献：

* [ ] 一个 PR（Pull Request的简写）只解决一个问题，禁止一个 PR 解决多个问题；
* [ ] 确保 PR 有对应的 Issue（通常在您开始处理之前创建），除非是书写错误之类的琐碎更改不需要 Issue ；
* [ ] 格式化 PR 及 Commit-Log 的标题及内容，例如 #861 。PS：Commit-Log 需要在 Git Commit
代码时进行填写，在 GitHub 上修改不了；
* [ ] 编写足够详细的 PR 描述，以了解 PR 的作用、方式和原因；
* [ ] 编写必要的单元测试来验证您的逻辑更正。如果提交了新功能或重大更改，请记住在 test 模块中添加 integration-test；
* [ ] 确保编译通过，集成测试通过；

请不要在没有先创建Issue的情况下创建Pull Request。

## 变更的目的是什么

XXXXX

## 简短的更新日志

XX

## 验证这一变化

XXXX

请遵循此清单，以帮助我们快速轻松地整合您的贡献：

* [ ] 一个 PR（Pull Request的简写）只解决一个问题，禁止一个 PR 解决多个问题；
* [ ] 确保 PR 有对应的 Issue（通常在您开始处理之前创建），除非是书写错误之类的琐碎更改不需要 Issue ；
* [ ] 格式化 PR 及 Commit-Log 的标题及内容，例如 #861 。PS：Commit-Log 需要在 Git Commit
代码时进行填写，在 GitHub 上修改不了；
* [ ] 编写足够详细的 PR 描述，以了解 PR 的作用、方式和原因；
* [ ] 编写必要的单元测试来验证您的逻辑更正。如果提交了新功能或重大更改，请记住在 test 模块中添加 integration-test；
* [ ] 确保编译通过，集成测试通过；

km-biz/pom.xml

@@ -29,6 +29,11 @@
             <artifactId>km-core</artifactId>
             <version>${project.parent.version}</version>
         </dependency>
+        <dependency>
+            <groupId>com.xiaojukeji.kafka</groupId>
+            <artifactId>km-rebalance</artifactId>
+            <version>${project.parent.version}</version>
+        </dependency>
 
         <!-- spring -->
         <dependency>

km-biz/src/main/java/com/xiaojukeji/know/streaming/km/biz/cluster/impl/MultiClusterPhyManagerImpl.java

@@ -15,6 +15,7 @@ import com.xiaojukeji.know.streaming.km.common.bean.entity.result.Result;
 import com.xiaojukeji.know.streaming.km.common.bean.vo.cluster.ClusterPhyBaseVO;
 import com.xiaojukeji.know.streaming.km.common.bean.vo.cluster.ClusterPhyDashboardVO;
 import com.xiaojukeji.know.streaming.km.common.bean.vo.metrics.line.MetricMultiLinesVO;
+import com.xiaojukeji.know.streaming.km.common.constant.Constant;
 import com.xiaojukeji.know.streaming.km.common.converter.ClusterVOConverter;
 import com.xiaojukeji.know.streaming.km.common.enums.health.HealthStateEnum;
 import com.xiaojukeji.know.streaming.km.common.utils.ConvertUtil;
@@ -24,6 +25,10 @@ import com.xiaojukeji.know.streaming.km.common.utils.ValidateUtils;
 import com.xiaojukeji.know.streaming.km.core.service.cluster.ClusterMetricService;
 import com.xiaojukeji.know.streaming.km.core.service.cluster.ClusterPhyService;
 import com.xiaojukeji.know.streaming.km.core.service.version.metrics.kafka.ClusterMetricVersionItems;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Resource;
+import com.xiaojukeji.know.streaming.km.rebalance.common.BalanceMetricConstant;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.ClusterBalanceItemState;
+import com.xiaojukeji.know.streaming.km.rebalance.core.service.ClusterBalanceService;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Service;
 
@@ -40,6 +45,9 @@ public class MultiClusterPhyManagerImpl implements MultiClusterPhyManager {
     @Autowired
     private ClusterMetricService clusterMetricService;
 
+    @Autowired
+    private ClusterBalanceService clusterBalanceService;
+
     @Override
     public ClusterPhysState getClusterPhysState() {
         List<ClusterPhy> clusterPhyList = clusterPhyService.listAllClusters();
@@ -153,6 +161,11 @@ public class MultiClusterPhyManagerImpl implements MultiClusterPhyManager {
             ClusterMetrics clusterMetrics = clusterMetricService.getLatestMetricsFromCache(vo.getId());
             clusterMetrics.getMetrics().putIfAbsent(ClusterMetricVersionItems.CLUSTER_METRIC_HEALTH_STATE, (float) HealthStateEnum.UNKNOWN.getDimension());
 
+            Result<ClusterMetrics> balanceMetricsResult = this.getClusterLoadReBalanceInfo(vo.getId());
+            if (balanceMetricsResult.hasData()) {
+                clusterMetrics.putMetric(balanceMetricsResult.getData().getMetrics());
+            }
+
             metricsList.add(clusterMetrics);
         }
 
@@ -174,4 +187,21 @@ public class MultiClusterPhyManagerImpl implements MultiClusterPhyManager {
         dto.setClusterPhyIds(clusterIdList);
         return dto;
     }
+
+    private Result<ClusterMetrics> getClusterLoadReBalanceInfo(Long clusterPhyId) {
+        Result<ClusterBalanceItemState> stateResult = clusterBalanceService.getItemStateFromCacheFirst(clusterPhyId);
+        if (stateResult.failed()) {
+            return Result.buildFromIgnoreData(stateResult);
+        }
+
+        ClusterBalanceItemState state = stateResult.getData();
+
+        ClusterMetrics metric = ClusterMetrics.initWithMetrics(clusterPhyId, BalanceMetricConstant.CLUSTER_METRIC_LOAD_RE_BALANCE_ENABLE, state.getEnable()? Constant.YES: Constant.NO);
+        metric.putMetric(BalanceMetricConstant.CLUSTER_METRIC_LOAD_RE_BALANCE_CPU, state.getResItemState(Resource.CPU).floatValue());
+        metric.putMetric(BalanceMetricConstant.CLUSTER_METRIC_LOAD_RE_BALANCE_NW_IN, state.getResItemState(Resource.NW_IN).floatValue());
+        metric.putMetric(BalanceMetricConstant.CLUSTER_METRIC_LOAD_RE_BALANCE_NW_OUT, state.getResItemState(Resource.NW_OUT).floatValue());
+        metric.putMetric(BalanceMetricConstant.CLUSTER_METRIC_LOAD_RE_BALANCE_DISK, state.getResItemState(Resource.DISK).floatValue());
+
+        return Result.buildSuc(metric);
+    }
 }

km-biz/src/main/java/com/xiaojukeji/know/streaming/km/biz/topic/impl/OpTopicManagerImpl.java

@@ -7,6 +7,7 @@ import com.xiaojukeji.know.streaming.km.common.bean.dto.topic.TopicCreateDTO;
 import com.xiaojukeji.know.streaming.km.common.bean.dto.topic.TopicExpansionDTO;
 import com.xiaojukeji.know.streaming.km.common.bean.entity.broker.Broker;
 import com.xiaojukeji.know.streaming.km.common.bean.entity.cluster.ClusterPhy;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.param.config.KafkaTopicConfigParam;
 import com.xiaojukeji.know.streaming.km.common.bean.entity.param.topic.TopicCreateParam;
 import com.xiaojukeji.know.streaming.km.common.bean.entity.param.topic.TopicParam;
 import com.xiaojukeji.know.streaming.km.common.bean.entity.param.topic.TopicPartitionExpandParam;
@@ -17,17 +18,17 @@ import com.xiaojukeji.know.streaming.km.common.bean.entity.result.ResultStatus;
 import com.xiaojukeji.know.streaming.km.common.bean.entity.topic.Topic;
 import com.xiaojukeji.know.streaming.km.common.constant.KafkaConstant;
 import com.xiaojukeji.know.streaming.km.common.constant.MsgConstant;
-import com.xiaojukeji.know.streaming.km.common.utils.BackoffUtils;
-import com.xiaojukeji.know.streaming.km.common.utils.FutureUtil;
-import com.xiaojukeji.know.streaming.km.common.utils.ValidateUtils;
+import com.xiaojukeji.know.streaming.km.common.utils.*;
 import com.xiaojukeji.know.streaming.km.common.utils.kafka.KafkaReplicaAssignUtil;
 import com.xiaojukeji.know.streaming.km.core.service.broker.BrokerService;
 import com.xiaojukeji.know.streaming.km.core.service.cluster.ClusterPhyService;
 import com.xiaojukeji.know.streaming.km.core.service.partition.PartitionService;
 import com.xiaojukeji.know.streaming.km.core.service.topic.OpTopicService;
+import com.xiaojukeji.know.streaming.km.core.service.topic.TopicConfigService;
 import com.xiaojukeji.know.streaming.km.core.service.topic.TopicService;
 import kafka.admin.AdminUtils;
 import kafka.admin.BrokerMetadata;
+import org.apache.kafka.common.config.TopicConfig;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Component;
 import org.springframework.transaction.annotation.Transactional;
@@ -61,6 +62,9 @@ public class OpTopicManagerImpl implements OpTopicManager {
     @Autowired
     private PartitionService partitionService;
 
+    @Autowired
+    private TopicConfigService topicConfigService;
+
     @Override
     public Result<Void> createTopic(TopicCreateDTO dto, String operator) {
         log.info("method=createTopic||param={}||operator={}.", dto, operator);
@@ -160,10 +164,27 @@ public class OpTopicManagerImpl implements OpTopicManager {
 
     @Override
     public Result<Void> truncateTopic(Long clusterPhyId, String topicName, String operator) {
+        // 增加delete配置
+        Result<Tuple<Boolean, String>> rt = this.addDeleteConfigIfNotExist(clusterPhyId, topicName, operator);
+        if (rt.failed()) {
+            log.error("method=truncateTopic||clusterPhyId={}||topicName={}||operator={}||result={}||msg=get config from kafka failed", clusterPhyId, topicName, operator, rt);
+            return Result.buildFromIgnoreData(rt);
+        }
+
         // 清空Topic
         Result<Void> rv = opTopicService.truncateTopic(new TopicTruncateParam(clusterPhyId, topicName, KafkaConstant.TOPICK_TRUNCATE_DEFAULT_OFFSET), operator);
         if (rv.failed()) {
-            return rv;
+            log.error("method=truncateTopic||clusterPhyId={}||topicName={}||originConfig={}||operator={}||result={}||msg=truncate topic failed", clusterPhyId, topicName, rt.getData().v2(), operator, rv);
+            // config被修改了，则错误提示需要提醒一下，否则直接返回错误
+            return rt.getData().v1() ? Result.buildFailure(rv.getCode(), rv.getMessage() + "\t\n" + String.format("Topic的CleanupPolicy已被修改，需要手动恢复为%s", rt.getData().v2())) : rv;
+        }
+
+        // 恢复compact配置
+        rv = this.recoverConfigIfChanged(clusterPhyId, topicName, rt.getData().v1(), rt.getData().v2(), operator);
+        if (rv.failed()) {
+            log.error("method=truncateTopic||clusterPhyId={}||topicName={}||originConfig={}||operator={}||result={}||msg=truncate topic success but recover config failed", clusterPhyId, topicName, rt.getData().v2(), operator, rv);
+            // config被修改了，则错误提示需要提醒一下，否则直接返回错误
+            return Result.buildFailure(rv.getCode(), String.format("Topic清空操作已成功，但是恢复CleanupPolicy配置失败，需要手动恢复为%s。", rt.getData().v2()) + "\t\n" + rv.getMessage());
         }
 
         return Result.buildSuc();
@@ -171,6 +192,44 @@ public class OpTopicManagerImpl implements OpTopicManager {
 
     /**************************************************** private method ****************************************************/
 
+    private Result<Tuple<Boolean, String>> addDeleteConfigIfNotExist(Long clusterPhyId, String topicName, String operator) {
+        // 获取Topic配置
+        Result<Map<String, String>> configMapResult = topicConfigService.getTopicConfigFromKafka(clusterPhyId, topicName);
+        if (configMapResult.failed()) {
+            return Result.buildFromIgnoreData(configMapResult);
+        }
+
+        String cleanupPolicyValue = configMapResult.getData().getOrDefault(TopicConfig.CLEANUP_POLICY_CONFIG, "");
+        List<String> cleanupPolicyValueList = CommonUtils.string2StrList(cleanupPolicyValue);
+        if (cleanupPolicyValueList.size() == 1 && cleanupPolicyValueList.contains(TopicConfig.CLEANUP_POLICY_DELETE)) {
+            // 不需要修改
+            return Result.buildSuc(new Tuple<>(Boolean.FALSE, cleanupPolicyValue));
+        }
+
+        Map<String, String> changedConfigMap = new HashMap<>(1);
+        changedConfigMap.put(TopicConfig.CLEANUP_POLICY_CONFIG, TopicConfig.CLEANUP_POLICY_DELETE);
+
+        Result<Void> rv = topicConfigService.modifyTopicConfig(new KafkaTopicConfigParam(clusterPhyId, topicName, changedConfigMap), operator);
+        if (rv.failed()) {
+            // 修改失败
+            return Result.buildFromIgnoreData(rv);
+        }
+
+        return Result.buildSuc(new Tuple<>(Boolean.TRUE, cleanupPolicyValue));
+    }
+
+    private Result<Void> recoverConfigIfChanged(Long clusterPhyId, String topicName, Boolean changed, String originValue, String operator) {
+        if (!changed) {
+            // 没有修改，直接返回
+            return Result.buildSuc();
+        }
+
+        // 恢复配置
+        Map<String, String> changedConfigMap = new HashMap<>(1);
+        changedConfigMap.put(TopicConfig.CLEANUP_POLICY_CONFIG, originValue);
+
+        return topicConfigService.modifyTopicConfig(new KafkaTopicConfigParam(clusterPhyId, topicName, changedConfigMap), operator);
+    }
 
     private Seq<BrokerMetadata> buildBrokerMetadataSeq(Long clusterPhyId, final List<Integer> selectedBrokerIdList) {
         // 选取Broker列表

km-common/src/main/java/com/xiaojukeji/know/streaming/km/common/enums/operaterecord/ModuleEnum.java

@@ -2,6 +2,7 @@ package com.xiaojukeji.know.streaming.km.common.enums.operaterecord;
 
 import com.google.common.collect.Lists;
 import com.google.common.collect.Maps;
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
 import com.xiaojukeji.know.streaming.km.common.constant.Constant;
 
 import java.util.List;
@@ -40,6 +41,9 @@ public enum ModuleEnum {
 
     JOB_KAFKA_REPLICA_REASSIGN(110, "Job-KafkaReplica迁移"),
 
+    @EnterpriseLoadReBalance
+    JOB_CLUSTER_BALANCE(111, "Job-ClusterBalance"),
+
     ;
 
     ModuleEnum(int code, String desc) {

km-console/.env

@@ -1,2 +1,2 @@
-BUSINESS_VERSION='false'
+BUSINESS_VERSION='true'
 PUBLIC_PATH=''

km-console/packages/config-manager-fe/src/app.tsx

@@ -31,12 +31,7 @@ export const { Provider, Consumer } = React.createContext('zh');
 
 const defaultLanguage = 'zh';
 
-const AppContent = (props: {
-  getLicenseInfo?: (cbk: (msg: string) => void) => void | undefined;
-  licenseEventBus?: Record<string, any> | undefined;
-}) => {
-  const { getLicenseInfo, licenseEventBus } = props;
-
+const AppContent = (props: any) => {
   return (
     <div className="config-system">
       <DProLayout.Sider prefixCls={'dcd-two-columns'} width={200} theme={'light'} systemKey={systemKey} menuConf={leftMenus} />
@@ -44,7 +39,7 @@ const AppContent = (props: {
         <RouteGuard
           routeList={pageRoutes}
           beforeEach={() => {
-            getLicenseInfo?.((msg) => licenseEventBus?.emit('licenseError', msg));
+            // getLicenseInfo?.((msg) => licenseEventBus?.emit('licenseError', msg));
             return Promise.resolve(true);
           }}
           noMatch={() => <Redirect to="/404" />}
@@ -55,7 +50,6 @@ const AppContent = (props: {
 };
 
 const App = (props: any) => {
-  const { getLicenseInfo, licenseEventBus } = props;
   const intlMessages = _.get(localeMap[defaultLanguage], 'intlMessages', intlZhCN);
   const locale = _.get(localeMap[defaultLanguage], 'intl', 'zh-CN');
   const antdLocale = _.get(localeMap[defaultLanguage], 'dantd', dantdZhCN);
@@ -65,7 +59,7 @@ const App = (props: any) => {
       <AppContainer intlProvider={{ locale, messages: intlMessages }} antdProvider={{ locale: antdLocale }}>
         <Router basename={systemKey}>
           <Switch>
-            <AppContent getLicenseInfo={getLicenseInfo} licenseEventBus={licenseEventBus} />
+            <AppContent />
           </Switch>
         </Router>
       </AppContainer>

km-console/packages/layout-clusters-fe/src/app.tsx

@@ -73,44 +73,6 @@ const logout = () => {
   localStorage.removeItem('userInfo');
 };
 
-const LicenseLimitModal = () => {
-  const [visible, setVisible] = useState<boolean>(false);
-  const [msg, setMsg] = useState<string>('');
-
-  useLayoutEffect(() => {
-    licenseEventBus.on('licenseError', (desc: string) => {
-      !visible && setVisible(true);
-      setMsg(desc);
-    });
-    return () => {
-      licenseEventBus.removeAll('licenseError');
-    };
-  }, []);
-
-  return (
-    <Modal
-      visible={visible}
-      centered={true}
-      width={400}
-      zIndex={10001}
-      title={
-        <>
-          <IconFont type="icon-yichang" style={{ marginRight: 10, fontSize: 18 }} />
-          许可证限制
-        </>
-      }
-      footer={null}
-      onCancel={() => setVisible(false)}
-    >
-      <div style={{ margin: '0 28px', lineHeight: '24px' }}>
-        <div>
-          {msg}，<a>前往帮助文档</a>
-        </div>
-      </div>
-    </Modal>
-  );
-};
-
 const AppContent = (props: { setlanguage: (language: string) => void }) => {
   const { pathname } = useLocation();
   const history = useHistory();
@@ -186,7 +148,7 @@ const AppContent = (props: { setlanguage: (language: string) => void }) => {
       }}
       onMount={(customProps: any) => {
         judgePage404();
-        registerApps(systemsConfig, { ...customProps, getLicenseInfo, licenseEventBus }, () => {
+        registerApps(systemsConfig, { ...customProps }, () => {
           // postMessage();
         });
       }}
@@ -207,7 +169,6 @@ const AppContent = (props: { setlanguage: (language: string) => void }) => {
             }}
           />
         </Switch>
-        <LicenseLimitModal />
       </>
     </DProLayout.Container>
   );
@@ -241,7 +202,6 @@ export default function App(): JSX.Element {
         <BrowserRouter basename="">
           <Switch>
             <Route path="/login" component={Login} />
-            <Route path="/no-license" exact component={NoLicense} />
             <Route render={() => <AppContent setlanguage={setlanguage} />} />
           </Switch>
         </BrowserRouter>

km-console/packages/layout-clusters-fe/src/components/ChartOperateBar/index.tsx

@@ -33,6 +33,7 @@ interface PropsType {
   };
   onChange: (options: KsHeaderOptions) => void;
   openMetricFilter: () => void;
+  setScreenType?: any;
 }
 
 interface ScopeData {
@@ -56,12 +57,29 @@ const GRID_SIZE_OPTIONS = [
   },
 ];
 
+// connect 筛选逻辑补充
+const CONNECT_OPTIONS = [
+  {
+    label: '全部',
+    value: 'all',
+  },
+  {
+    label: 'Cluster',
+    value: 'Connect',
+  },
+  {
+    label: 'Connector',
+    value: 'Connector',
+  },
+];
+
 const MetricOperateBar = ({
   nodeSelect = {},
   hideNodeScope = false,
   hideGridSelect = false,
   onChange: onChangeCallback,
   openMetricFilter,
+  setScreenType,
 }: PropsType): JSX.Element => {
   const [gridNum, setGridNum] = useState<number>(GRID_SIZE_OPTIONS[1].value);
   const [rangeTime, setRangeTime] = useState<[number, number]>(() => {
@@ -139,6 +157,17 @@ const MetricOperateBar = ({
             <DRangeTime timeChange={timeChange} rangeTimeArr={rangeTime} />
           </div>
           <div className="header-right">
+            {/* connect 单独逻辑 */}
+            {setScreenType && (
+              <Select
+                style={{ width: 120, marginRight: 10 }}
+                defaultValue="all"
+                options={CONNECT_OPTIONS}
+                onChange={(e) => {
+                  setScreenType(e);
+                }}
+              />
+            )}
             {/* 节点范围 */}
             {!hideNodeScope && (
               <NodeSelect name={nodeSelect.name || ''} onChange={nodeScopeChange}>

km-console/packages/layout-clusters-fe/src/components/DraggableCharts/ChartList.tsx

@@ -72,7 +72,7 @@ const ChartList = (props: ChartListProps) => {
                   const { metricName, metricType, metricUnit, metricLines, showLegend } = data;
 
                   return (
-                    <div key={metricName} className="dashboard-drag-item-box">
+                    <div key={metricName + metricType} className="dashboard-drag-item-box">
                       <div className="dashboard-drag-item-box-title">
                         <Tooltip
                           placement="topLeft"

km-console/packages/layout-clusters-fe/src/pages/MutliClusterPage/List.tsx

@@ -252,6 +252,7 @@ const ClusterList = (props: { searchParams: SearchParams; showAccessCluster: any
     const {
       Brokers: brokers,
       Zookeepers: zks,
+      // ConnectionsCount: connect,
       HealthCheckPassed: healthCheckPassed,
       HealthCheckTotal: healthCheckTotal,
       HealthState: healthState,
@@ -352,6 +353,18 @@ const ClusterList = (props: { searchParams: SearchParams; showAccessCluster: any
                     <div className="indicator-left-item-value">{zookeepersAvailable === -1 ? '-' : zks}</div>
                   </div>
                 )}
+                {/* <div className="indicator-left-item">
+                  <div className="indicator-left-item-title">
+                    <span
+                      className="indicator-left-item-title-dot"
+                      style={{
+                        background: itemData.latestMetrics?.metrics?.BrokersNotAlive ? '#FF7066' : '#34C38F',
+                      }}
+                    ></span>
+                    Connect
+                  </div>
+                  <div className="indicator-left-item-value">{connect}</div>
+                </div> */}
               </div>
               <div className="indicator-right">
                 {metricPoints.map((row, index) => {

km-console/packages/layout-clusters-fe/src/pages/index.tsx

@@ -61,7 +61,6 @@ const LayoutContainer = () => {
   // 路由前置守卫
   const routeBeforeEach = useCallback(
     (path: string, permissionNode: string | number) => {
-      getLicenseInfo((msg) => licenseEventBus.emit('licenseError', msg));
       // 判断进入页面的前置条件是否满足，如果不满足，则展示加载状态
       const isClusterNotExist = path.includes(':clusterId') && !global.clusterInfo;
       const isNotLoadedPermissions = typeof global.hasPermission !== 'function';

km-core/src/main/java/com/xiaojukeji/know/streaming/km/core/service/config/KSConfigUtils.java

@@ -15,6 +15,9 @@ public class KSConfigUtils {
     private KSConfigUtils() {
     }
 
+    @Value("${cluster-balance.ignored-topics.time-second:300}")
+    private Integer     clusterBalanceIgnoredTopicsTimeSecond;
+
     @Value(value = "${request.api-call.timeout-unit-ms:8000}")
     private Integer apiCallTimeoutUnitMs;
 

km-core/src/main/java/com/xiaojukeji/know/streaming/km/core/service/health/state/impl/HealthStateServiceImpl.java

@@ -143,7 +143,7 @@ public class HealthStateServiceImpl implements HealthStateService {
                 // DB中不存在，则默认是存活的
                 metrics.getMetrics().put(BROKER_METRIC_HEALTH_STATE, (float)HealthStateEnum.GOOD.getDimension());
             } else if (!broker.alive()) {
-                metrics.getMetrics().put(BROKER_METRIC_HEALTH_STATE, (float)HealthStateEnum.DEAD.getDimension());
+                metrics.getMetrics().put(BROKER_METRIC_HEALTH_STATE, (float) HealthStateEnum.DEAD.getDimension());
             } else {
                 metrics.getMetrics().put(BROKER_METRIC_HEALTH_STATE, (float)this.calHealthState(aggResultList).getDimension());
             }

km-core/src/main/java/com/xiaojukeji/know/streaming/km/core/service/partition/impl/OpPartitionServiceImpl.java

@@ -19,6 +19,7 @@ import org.apache.kafka.clients.admin.ElectLeadersOptions;
 import org.apache.kafka.clients.admin.ElectLeadersResult;
 import org.apache.kafka.common.ElectionType;
 import org.apache.kafka.common.TopicPartition;
+import org.apache.kafka.common.errors.ElectionNotNeededException;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Service;
 import scala.jdk.javaapi.CollectionConverters;
@@ -108,12 +109,17 @@ public class OpPartitionServiceImpl extends BaseKafkaVersionControlService imple
 
             return Result.buildSuc();
         } catch (Exception e) {
+            if(e.getCause() instanceof ElectionNotNeededException) {
+                // ignore ElectionNotNeededException
+                return Result.buildSuc();
+            }
+
             LOGGER.error(
                     "method=preferredReplicaElectionByKafkaClient||clusterPhyId={}||errMsg=exception",
                     partitionParam.getClusterPhyId(), e
             );
 
-            return Result.buildFromRSAndMsg(ResultStatus.ZK_OPERATE_FAILED, e.getMessage());
+            return Result.buildFromRSAndMsg(ResultStatus.KAFKA_OPERATE_FAILED, e.getMessage());
         }
     }
 }

km-enterprise/km-rebalance/pom.xml

@@ -0,0 +1,64 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <parent>
+        <artifactId>km</artifactId>
+        <groupId>com.xiaojukeji.kafka</groupId>
+        <version>${revision}</version>
+        <relativePath>../../pom.xml</relativePath>
+    </parent>
+    <modelVersion>4.0.0</modelVersion>
+
+    <artifactId>km-rebalance</artifactId>
+
+    <dependencies>
+        <!--算法依赖的包-->
+        <dependency>
+            <groupId>org.apache.kafka</groupId>
+            <artifactId>kafka-clients</artifactId>
+        </dependency>
+        <dependency>
+            <groupId>org.elasticsearch.client</groupId>
+            <artifactId>elasticsearch-rest-client</artifactId>
+        </dependency>
+        <dependency>
+            <groupId>com.fasterxml.jackson.core</groupId>
+            <artifactId>jackson-databind</artifactId>
+        </dependency>
+        <dependency>
+            <groupId>com.google.guava</groupId>
+            <artifactId>guava</artifactId>
+        </dependency>
+        <dependency>
+            <groupId>org.slf4j</groupId>
+            <artifactId>slf4j-api</artifactId>
+        </dependency>
+        <dependency>
+            <groupId>commons-io</groupId>
+            <artifactId>commons-io</artifactId>
+        </dependency>
+        <dependency>
+            <groupId>org.apache.commons</groupId>
+            <artifactId>commons-lang3</artifactId>
+        </dependency>
+        <dependency>
+            <groupId>net.sf.jopt-simple</groupId>
+            <artifactId>jopt-simple</artifactId>
+        </dependency>
+
+
+        <!--应用层依赖的包-->
+        <dependency>
+            <groupId>com.xiaojukeji.kafka</groupId>
+            <artifactId>km-common</artifactId>
+            <version>${project.parent.version}</version>
+        </dependency>
+        <dependency>
+            <groupId>com.xiaojukeji.kafka</groupId>
+            <artifactId>km-core</artifactId>
+            <version>${project.parent.version}</version>
+        </dependency>
+    </dependencies>
+
+</project>

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/KafkaRebalanceMain.java

@@ -0,0 +1,143 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm;
+
+
+import com.fasterxml.jackson.core.type.TypeReference;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.ExecutionRebalance;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.BalanceParameter;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.HostEnv;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.OptimizerResult;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.utils.CommandLineUtils;
+import joptsimple.OptionParser;
+import joptsimple.OptionSet;
+import org.apache.commons.io.FileUtils;
+import org.apache.kafka.clients.CommonClientConfigs;
+
+import java.io.File;
+import java.io.IOException;
+import java.util.Arrays;
+import java.util.List;
+import java.util.Properties;
+
+public class KafkaRebalanceMain {
+
+    public void run(OptionSet options) {
+        try {
+            BalanceParameter balanceParameter = new BalanceParameter();
+            if (options.has("excluded-topics")) {
+                balanceParameter.setExcludedTopics(options.valueOf("excluded-topics").toString());
+            }
+            if (options.has("offline-brokers")) {
+                balanceParameter.setOfflineBrokers(options.valueOf("offline-brokers").toString());
+            }
+            if (options.has("disk-threshold")) {
+                Double diskThreshold = (Double) options.valueOf("disk-threshold");
+                balanceParameter.setDiskThreshold(diskThreshold);
+            }
+            if (options.has("cpu-threshold")) {
+                Double cpuThreshold = (Double) options.valueOf("cpu-threshold");
+                balanceParameter.setCpuThreshold(cpuThreshold);
+            }
+            if (options.has("network-in-threshold")) {
+                Double networkInThreshold = (Double) options.valueOf("network-in-threshold");
+                balanceParameter.setNetworkInThreshold(networkInThreshold);
+            }
+            if (options.has("network-out-threshold")) {
+                Double networkOutThreshold = (Double) options.valueOf("network-out-threshold");
+                balanceParameter.setNetworkOutThreshold(networkOutThreshold);
+            }
+            if (options.has("balance-brokers")) {
+                balanceParameter.setBalanceBrokers(options.valueOf("balance-brokers").toString());
+            }
+            if (options.has("topic-leader-threshold")) {
+                Double topicLeaderThreshold = (Double) options.valueOf("topic-leader-threshold");
+                balanceParameter.setTopicLeaderThreshold(topicLeaderThreshold);
+            }
+            if (options.has("topic-replica-threshold")) {
+                Double topicReplicaThreshold = (Double) options.valueOf("topic-replica-threshold");
+                balanceParameter.setTopicReplicaThreshold(topicReplicaThreshold);
+            }
+            if (options.has("ignored-topics")) {
+                balanceParameter.setIgnoredTopics(options.valueOf("ignored-topics").toString());
+            }
+            String path = options.valueOf("output-path").toString();
+            String goals = options.valueOf("goals").toString();
+            balanceParameter.setGoals(Arrays.asList(goals.split(",")));
+            balanceParameter.setCluster(options.valueOf("cluster").toString());
+            Properties kafkaConfig = new Properties();
+            kafkaConfig.setProperty(CommonClientConfigs.BOOTSTRAP_SERVERS_CONFIG, options.valueOf("bootstrap-servers").toString());
+            balanceParameter.setKafkaConfig(kafkaConfig);
+            if (options.has("es-password")) {
+                balanceParameter.setEsInfo(options.valueOf("es-rest-url").toString(), options.valueOf("es-password").toString(), options.valueOf("es-index-prefix").toString());
+            } else {
+                balanceParameter.setEsInfo(options.valueOf("es-rest-url").toString(), "", options.valueOf("es-index-prefix").toString());
+            }
+            balanceParameter.setBeforeSeconds((Integer) options.valueOf("before-seconds"));
+            String envFile = options.valueOf("hardware-env-file").toString();
+            String envJson = FileUtils.readFileToString(new File(envFile), "UTF-8");
+            List<HostEnv> env = new ObjectMapper().readValue(envJson, new TypeReference<List<HostEnv>>() {
+            });
+            balanceParameter.setHardwareEnv(env);
+            ExecutionRebalance exec = new ExecutionRebalance();
+            OptimizerResult optimizerResult = exec.optimizations(balanceParameter);
+            FileUtils.write(new File(path.concat("/overview.json")), optimizerResult.resultJsonOverview(), "UTF-8");
+            FileUtils.write(new File(path.concat("/detailed.json")), optimizerResult.resultJsonDetailed(), "UTF-8");
+            FileUtils.write(new File(path.concat("/task.json")), optimizerResult.resultJsonTask(), "UTF-8");
+        } catch (IOException e) {
+            e.printStackTrace();
+        }
+    }
+
+    public static void main(String[] args) {
+        OptionParser parser = new OptionParser();
+        parser.accepts("bootstrap-servers", "Kafka cluster boot server").withRequiredArg().ofType(String.class);
+        parser.accepts("es-rest-url", "The url of elasticsearch").withRequiredArg().ofType(String.class);
+        parser.accepts("es-password", "The password of elasticsearch").withRequiredArg().ofType(String.class);
+        parser.accepts("es-index-prefix", "The Index Prefix of elasticsearch").withRequiredArg().ofType(String.class);
+        parser.accepts("goals", "Balanced goals include TopicLeadersDistributionGoal,TopicReplicaDistributionGoal,DiskDistributionGoal,NetworkInboundDistributionGoal,NetworkOutboundDistributionGoal").withRequiredArg().ofType(String.class);
+        parser.accepts("cluster", "Balanced cluster name").withRequiredArg().ofType(String.class);
+        parser.accepts("excluded-topics", "Topic does not perform data balancing").withOptionalArg().ofType(String.class);
+        parser.accepts("ignored-topics","Topics that do not contain model calculations").withOptionalArg().ofType(String.class);
+        parser.accepts("offline-brokers", "Broker does not perform data balancing").withOptionalArg().ofType(String.class);
+        parser.accepts("balance-brokers", "Balanced brokers list").withOptionalArg().ofType(String.class);
+        parser.accepts("disk-threshold", "Disk data balance threshold").withOptionalArg().ofType(Double.class);
+        parser.accepts("topic-leader-threshold","topic leader threshold").withOptionalArg().ofType(Double.class);
+        parser.accepts("topic-replica-threshold","topic replica threshold").withOptionalArg().ofType(Double.class);
+        parser.accepts("cpu-threshold", "Cpu utilization balance threshold").withOptionalArg().ofType(Double.class);
+        parser.accepts("network-in-threshold", "Network inflow threshold").withOptionalArg().ofType(Double.class);
+        parser.accepts("network-out-threshold", "Network outflow threshold").withOptionalArg().ofType(Double.class);
+        parser.accepts("before-seconds", "Query es data time").withRequiredArg().ofType(Integer.class);
+        parser.accepts("hardware-env-file", "Machine environment information includes cpu, disk and network").withRequiredArg().ofType(String.class);
+        parser.accepts("output-path", "Cluster balancing result file directory").withRequiredArg().ofType(String.class);
+        OptionSet options = parser.parse(args);
+        if (args.length == 0) {
+            CommandLineUtils.printUsageAndDie(parser, "Running parameters need to be configured to perform cluster balancing");
+        }
+        if (!options.has("bootstrap-servers")) {
+            CommandLineUtils.printUsageAndDie(parser, "bootstrap-servers cannot be empty");
+        }
+        if (!options.has("es-rest-url")) {
+            CommandLineUtils.printUsageAndDie(parser, "es-rest-url cannot be empty");
+        }
+        if (!options.has("es-index-prefix")) {
+            CommandLineUtils.printUsageAndDie(parser, "es-index-prefix cannot be empty");
+        }
+        if (!options.has("goals")) {
+            CommandLineUtils.printUsageAndDie(parser, "goals cannot be empty");
+        }
+        if (!options.has("cluster")) {
+            CommandLineUtils.printUsageAndDie(parser, "cluster name cannot be empty");
+        }
+        if (!options.has("before-seconds")) {
+            CommandLineUtils.printUsageAndDie(parser, "before-seconds cannot be empty");
+        }
+        if (!options.has("hardware-env-file")) {
+            CommandLineUtils.printUsageAndDie(parser, "hardware-env-file cannot be empty");
+        }
+        if (!options.has("output-path")) {
+            CommandLineUtils.printUsageAndDie(parser, "output-path cannot be empty");
+        }
+        KafkaRebalanceMain rebalanceMain = new KafkaRebalanceMain();
+        rebalanceMain.run(options);
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/exception/OptimizationFailureException.java

@@ -0,0 +1,15 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.exception;
+
+public class OptimizationFailureException extends Exception {
+    public OptimizationFailureException(String message, Throwable cause) {
+        super(message, cause);
+    }
+
+    public OptimizationFailureException(String message) {
+        super(message);
+    }
+
+    public OptimizationFailureException(Throwable cause) {
+        super(cause);
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/executor/ExecutionRebalance.java

@@ -0,0 +1,78 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.BalanceGoal;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.BalanceParameter;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.BalanceThreshold;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.BrokerBalanceState;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.ClusterModel;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Load;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Resource;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.GoalOptimizer;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.OptimizationOptions;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.OptimizerResult;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.utils.GoalUtils;
+import org.apache.commons.lang3.StringUtils;
+import org.apache.commons.lang3.Validate;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.HashMap;
+import java.util.Map;
+
+
+public class ExecutionRebalance {
+    private static final Logger logger = LoggerFactory.getLogger(ExecutionRebalance.class);
+
+    public OptimizerResult optimizations(BalanceParameter balanceParameter) {
+        Validate.isTrue(StringUtils.isNotBlank(balanceParameter.getCluster()), "cluster is empty");
+        Validate.isTrue(balanceParameter.getKafkaConfig() != null, "Kafka config properties is empty");
+        Validate.isTrue(balanceParameter.getGoals() != null, "Balance goals is empty");
+        Validate.isTrue(StringUtils.isNotBlank(balanceParameter.getEsIndexPrefix()), "EsIndexPrefix is empty");
+        Validate.isTrue(StringUtils.isNotBlank(balanceParameter.getEsRestURL()), "EsRestURL is empty");
+        Validate.isTrue(balanceParameter.getHardwareEnv() != null, "HardwareEnv is empty");
+        logger.info("Cluster balancing start");
+        ClusterModel clusterModel = GoalUtils.getInitClusterModel(balanceParameter);
+        GoalOptimizer optimizer = new GoalOptimizer();
+        OptimizerResult optimizerResult = optimizer.optimizations(clusterModel, new OptimizationOptions(balanceParameter));
+        logger.info("Cluster balancing completed");
+        return optimizerResult;
+    }
+
+    public static Map<Resource, Double> getClusterAvgResourcesState(BalanceParameter balanceParameter) {
+        ClusterModel clusterModel = GoalUtils.getInitClusterModel(balanceParameter);
+        Load load = clusterModel.load();
+        Map<Resource, Double> avgResource = new HashMap<>();
+        avgResource.put(Resource.DISK, load.loadFor(Resource.DISK) / clusterModel.brokers().size());
+        avgResource.put(Resource.CPU, load.loadFor(Resource.CPU) / clusterModel.brokers().size());
+        avgResource.put(Resource.NW_OUT, load.loadFor(Resource.NW_OUT) / clusterModel.brokers().size());
+        avgResource.put(Resource.NW_IN, load.loadFor(Resource.NW_IN) / clusterModel.brokers().size());
+        return avgResource;
+    }
+
+    public static Map<Integer, BrokerBalanceState> getBrokerResourcesBalanceState(BalanceParameter balanceParameter) {
+        Map<Integer, BrokerBalanceState> balanceState = new HashMap<>();
+        ClusterModel clusterModel = GoalUtils.getInitClusterModel(balanceParameter);
+        double[] clusterAvgResource = clusterModel.avgOfUtilization();
+        Map<String, BalanceThreshold> balanceThreshold = GoalUtils.getBalanceThreshold(balanceParameter, clusterAvgResource);
+        clusterModel.brokers().forEach(i -> {
+            BrokerBalanceState state = new BrokerBalanceState();
+            if (balanceParameter.getGoals().contains(BalanceGoal.DISK.goal())) {
+                state.setDiskAvgResource(i.load().loadFor(Resource.DISK));
+                state.setDiskUtilization(i.utilizationFor(Resource.DISK));
+                state.setDiskBalanceState(balanceThreshold.get(BalanceGoal.DISK.goal()).state(i.utilizationFor(Resource.DISK)));
+            }
+            if (balanceParameter.getGoals().contains(BalanceGoal.NW_IN.goal())) {
+                state.setBytesInAvgResource(i.load().loadFor(Resource.NW_IN));
+                state.setBytesInUtilization(i.utilizationFor(Resource.NW_IN));
+                state.setBytesInBalanceState(balanceThreshold.get(BalanceGoal.NW_IN.goal()).state(i.utilizationFor(Resource.NW_IN)));
+            }
+            if (balanceParameter.getGoals().contains(BalanceGoal.NW_OUT.goal())) {
+                state.setBytesOutAvgResource(i.load().loadFor(Resource.NW_OUT));
+                state.setBytesOutUtilization(i.utilizationFor(Resource.NW_OUT));
+                state.setBytesOutBalanceState(balanceThreshold.get(BalanceGoal.NW_OUT.goal()).state(i.utilizationFor(Resource.NW_OUT)));
+            }
+            balanceState.put(i.id(), state);
+        });
+        return balanceState;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/executor/common/BalanceActionHistory.java

@@ -0,0 +1,76 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common;
+
+public class BalanceActionHistory {
+    //均衡目标
+    private String goal;
+    //均衡动作
+    private String actionType;
+    //均衡Topic
+    private String topic;
+    //均衡分区
+    private int partition;
+    //源Broker
+    private int sourceBrokerId;
+    //目标Broker
+    private int destinationBrokerId;
+
+    public String getGoal() {
+        return goal;
+    }
+
+    public void setGoal(String goal) {
+        this.goal = goal;
+    }
+
+    public String getActionType() {
+        return actionType;
+    }
+
+    public void setActionType(String actionType) {
+        this.actionType = actionType;
+    }
+
+    public String getTopic() {
+        return topic;
+    }
+
+    public void setTopic(String topic) {
+        this.topic = topic;
+    }
+
+    public int getPartition() {
+        return partition;
+    }
+
+    public void setPartition(int partition) {
+        this.partition = partition;
+    }
+
+    public int getSourceBrokerId() {
+        return sourceBrokerId;
+    }
+
+    public void setSourceBrokerId(int sourceBrokerId) {
+        this.sourceBrokerId = sourceBrokerId;
+    }
+
+    public int getDestinationBrokerId() {
+        return destinationBrokerId;
+    }
+
+    public void setDestinationBrokerId(int destinationBrokerId) {
+        this.destinationBrokerId = destinationBrokerId;
+    }
+
+    @Override
+    public String toString() {
+        return "BalanceActionHistory{" +
+                "goal='" + goal + '\'' +
+                ", actionType='" + actionType + '\'' +
+                ", topic='" + topic + '\'' +
+                ", partition='" + partition + '\'' +
+                ", sourceBrokerId='" + sourceBrokerId + '\'' +
+                ", destinationBrokerId='" + destinationBrokerId + '\'' +
+                '}';
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/executor/common/BalanceDetailed.java

@@ -0,0 +1,173 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common;
+
+public class BalanceDetailed {
+    private int brokerId;
+    private String host;
+    //当前CPU使用率
+    private double currentCPUUtilization;
+    //最新CPU使用率
+    private double lastCPUUtilization;
+    //当前磁盘使用率
+    private double currentDiskUtilization;
+    //最新磁盘使用量
+    private double lastDiskUtilization;
+    //当前网卡入流量
+    private double currentNetworkInUtilization;
+    //最新网卡入流量
+    private double lastNetworkInUtilization;
+    //当前网卡出流量
+    private double currentNetworkOutUtilization;
+    //最新网卡出流量
+    private double lastNetworkOutUtilization;
+    //均衡状态
+    private int balanceState = 0;
+    //迁入磁盘容量
+    private double moveInDiskSize;
+    //迁出磁盘容量
+    private double moveOutDiskSize;
+    //迁入副本数
+    private double moveInReplicas;
+    //迁出副本数
+    private double moveOutReplicas;
+
+    public int getBrokerId() {
+        return brokerId;
+    }
+
+    public void setBrokerId(int brokerId) {
+        this.brokerId = brokerId;
+    }
+
+    public double getCurrentCPUUtilization() {
+        return currentCPUUtilization;
+    }
+
+    public void setCurrentCPUUtilization(double currentCPUUtilization) {
+        this.currentCPUUtilization = currentCPUUtilization;
+    }
+
+    public double getLastCPUUtilization() {
+        return lastCPUUtilization;
+    }
+
+    public void setLastCPUUtilization(double lastCPUUtilization) {
+        this.lastCPUUtilization = lastCPUUtilization;
+    }
+
+    public double getCurrentDiskUtilization() {
+        return currentDiskUtilization;
+    }
+
+    public void setCurrentDiskUtilization(double currentDiskUtilization) {
+        this.currentDiskUtilization = currentDiskUtilization;
+    }
+
+    public double getLastDiskUtilization() {
+        return lastDiskUtilization;
+    }
+
+    public void setLastDiskUtilization(double lastDiskUtilization) {
+        this.lastDiskUtilization = lastDiskUtilization;
+    }
+
+    public double getCurrentNetworkInUtilization() {
+        return currentNetworkInUtilization;
+    }
+
+    public void setCurrentNetworkInUtilization(double currentNetworkInUtilization) {
+        this.currentNetworkInUtilization = currentNetworkInUtilization;
+    }
+
+    public double getLastNetworkInUtilization() {
+        return lastNetworkInUtilization;
+    }
+
+    public void setLastNetworkInUtilization(double lastNetworkInUtilization) {
+        this.lastNetworkInUtilization = lastNetworkInUtilization;
+    }
+
+    public double getCurrentNetworkOutUtilization() {
+        return currentNetworkOutUtilization;
+    }
+
+    public void setCurrentNetworkOutUtilization(double currentNetworkOutUtilization) {
+        this.currentNetworkOutUtilization = currentNetworkOutUtilization;
+    }
+
+    public double getLastNetworkOutUtilization() {
+        return lastNetworkOutUtilization;
+    }
+
+    public void setLastNetworkOutUtilization(double lastNetworkOutUtilization) {
+        this.lastNetworkOutUtilization = lastNetworkOutUtilization;
+    }
+
+    public int getBalanceState() {
+        return balanceState;
+    }
+
+    public void setBalanceState(int balanceState) {
+        this.balanceState = balanceState;
+    }
+
+    public double getMoveInDiskSize() {
+        return moveInDiskSize;
+    }
+
+    public void setMoveInDiskSize(double moveInDiskSize) {
+        this.moveInDiskSize = moveInDiskSize;
+    }
+
+    public double getMoveOutDiskSize() {
+        return moveOutDiskSize;
+    }
+
+    public void setMoveOutDiskSize(double moveOutDiskSize) {
+        this.moveOutDiskSize = moveOutDiskSize;
+    }
+
+    public double getMoveInReplicas() {
+        return moveInReplicas;
+    }
+
+    public void setMoveInReplicas(double moveInReplicas) {
+        this.moveInReplicas = moveInReplicas;
+    }
+
+    public double getMoveOutReplicas() {
+        return moveOutReplicas;
+    }
+
+    public void setMoveOutReplicas(double moveOutReplicas) {
+        this.moveOutReplicas = moveOutReplicas;
+    }
+
+    public String getHost() {
+        return host;
+    }
+
+    public void setHost(String host) {
+        this.host = host;
+    }
+
+    @Override
+    public String toString() {
+        return "BalanceDetailed{" +
+                "brokerId=" + brokerId +
+                ", host='" + host + '\'' +
+                ", currentCPUUtilization=" + currentCPUUtilization +
+                ", lastCPUUtilization=" + lastCPUUtilization +
+                ", currentDiskUtilization=" + currentDiskUtilization +
+                ", lastDiskUtilization=" + lastDiskUtilization +
+                ", currentNetworkInUtilization=" + currentNetworkInUtilization +
+                ", lastNetworkInUtilization=" + lastNetworkInUtilization +
+                ", currentNetworkOutUtilization=" + currentNetworkOutUtilization +
+                ", lastNetworkOutUtilization=" + lastNetworkOutUtilization +
+                ", balanceState=" + balanceState +
+                ", moveInDiskSize=" + moveInDiskSize +
+                ", moveOutDiskSize=" + moveOutDiskSize +
+                ", moveInReplicas=" + moveInReplicas +
+                ", moveOutReplicas=" + moveOutReplicas +
+                '}';
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/executor/common/BalanceGoal.java

@@ -0,0 +1,20 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common;
+
+public enum BalanceGoal {
+    // KM传参时使用
+    TOPIC_LEADERS("TopicLeadersDistributionGoal"),
+    TOPIC_REPLICA("TopicReplicaDistributionGoal"),
+    DISK("DiskDistributionGoal"),
+    NW_IN("NetworkInboundDistributionGoal"),
+    NW_OUT("NetworkOutboundDistributionGoal");
+
+    private final String goal;
+
+    BalanceGoal(String goal) {
+        this.goal = goal;
+    }
+
+    public String goal() {
+        return goal;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/executor/common/BalanceOverview.java

@@ -0,0 +1,102 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Resource;
+
+import java.util.Map;
+
+public class BalanceOverview {
+    //任务类型
+    private String taskType;
+    //节点范围
+    private String nodeRange;
+    //总的迁移大小
+    private double totalMoveSize;
+    //topic黑名单
+    private String topicBlacklist;
+    //迁移副本数
+    private int moveReplicas;
+    //迁移Topic
+    private String moveTopics;
+    //均衡阈值
+    private Map<Resource, Double> balanceThreshold;
+    //移除节点
+    private String removeNode;
+
+    public String getTaskType() {
+        return taskType;
+    }
+
+    public void setTaskType(String taskType) {
+        this.taskType = taskType;
+    }
+
+    public String getNodeRange() {
+        return nodeRange;
+    }
+
+    public void setNodeRange(String nodeRange) {
+        this.nodeRange = nodeRange;
+    }
+
+    public double getTotalMoveSize() {
+        return totalMoveSize;
+    }
+
+    public void setTotalMoveSize(double totalMoveSize) {
+        this.totalMoveSize = totalMoveSize;
+    }
+
+    public String getTopicBlacklist() {
+        return topicBlacklist;
+    }
+
+    public void setTopicBlacklist(String topicBlacklist) {
+        this.topicBlacklist = topicBlacklist;
+    }
+
+    public int getMoveReplicas() {
+        return moveReplicas;
+    }
+
+    public void setMoveReplicas(int moveReplicas) {
+        this.moveReplicas = moveReplicas;
+    }
+
+    public String getMoveTopics() {
+        return moveTopics;
+    }
+
+    public void setMoveTopics(String moveTopics) {
+        this.moveTopics = moveTopics;
+    }
+
+    public Map<Resource, Double> getBalanceThreshold() {
+        return balanceThreshold;
+    }
+
+    public void setBalanceThreshold(Map<Resource, Double> balanceThreshold) {
+        this.balanceThreshold = balanceThreshold;
+    }
+
+    public String getRemoveNode() {
+        return removeNode;
+    }
+
+    public void setRemoveNode(String removeNode) {
+        this.removeNode = removeNode;
+    }
+
+    @Override
+    public String toString() {
+        return "BalanceOverview{" +
+                "taskType='" + taskType + '\'' +
+                ", nodeRange='" + nodeRange + '\'' +
+                ", totalMoveSize=" + totalMoveSize +
+                ", topicBlacklist='" + topicBlacklist + '\'' +
+                ", moveReplicas=" + moveReplicas +
+                ", moveTopics='" + moveTopics + '\'' +
+                ", balanceThreshold=" + balanceThreshold +
+                ", removeNode='" + removeNode + '\'' +
+                '}';
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/executor/common/BalanceParameter.java

@@ -0,0 +1,207 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common;
+
+import java.util.List;
+import java.util.Properties;
+
+public class BalanceParameter {
+    //集群名称
+    private String cluster;
+    //集群访问配置
+    private Properties kafkaConfig;
+    //ES访问地址
+    private String esRestURL;
+
+    //ES访问密码
+    private String esPassword;
+
+    //ES存储索引前缀
+    private String esIndexPrefix;
+    //均衡目标
+    private List<String> goals;
+    //Topic黑名单，（参与模型计算）
+    private String excludedTopics = "";
+    //忽略的Topic列表，（不参与模型计算）
+    private String ignoredTopics = "";
+    //下线的Broker
+    private String offlineBrokers = "";
+    //需要均衡的Broker
+    private String balanceBrokers = "";
+    //默认Topic副本分布阈值
+    private double topicReplicaThreshold = 0.1;
+    //磁盘浮动阈值
+    private double diskThreshold = 0.1;
+    //CPU浮动阈值
+    private double cpuThreshold = 0.1;
+    //流入浮动阈值
+    private double networkInThreshold = 0.1;
+    //流出浮动阈值
+    private double networkOutThreshold = 0.1;
+    //均衡时间范围
+    private int beforeSeconds = 300;
+    //集群中所有Broker的硬件环境:cpu、disk、bytesIn、bytesOut
+    private List<HostEnv> hardwareEnv;
+    //最小Leader浮动阈值,不追求绝对平均，避免集群流量抖动
+    private double topicLeaderThreshold = 0.1;
+
+    public String getCluster() {
+        return cluster;
+    }
+
+    public void setCluster(String cluster) {
+        this.cluster = cluster;
+    }
+
+    public String getEsRestURL() {
+        return esRestURL;
+    }
+
+    public void setEsInfo(String esRestURL, String esPassword, String esIndexPrefix) {
+        this.esRestURL = esRestURL;
+        this.esPassword = esPassword;
+        this.esIndexPrefix = esIndexPrefix;
+    }
+
+    public String getEsPassword() {
+        return esPassword;
+    }
+
+    public List<String> getGoals() {
+        return goals;
+    }
+
+    public void setGoals(List<String> goals) {
+        this.goals = goals;
+    }
+
+    public String getExcludedTopics() {
+        return excludedTopics;
+    }
+
+    public void setExcludedTopics(String excludedTopics) {
+        this.excludedTopics = excludedTopics;
+    }
+
+    public String getIgnoredTopics() {
+        return ignoredTopics;
+    }
+
+    public void setIgnoredTopics(String ignoredTopics) {
+        this.ignoredTopics = ignoredTopics;
+    }
+
+    public double getTopicReplicaThreshold() {
+        return topicReplicaThreshold;
+    }
+
+    public void setTopicReplicaThreshold(double topicReplicaThreshold) {
+        this.topicReplicaThreshold = topicReplicaThreshold;
+    }
+
+    public double getDiskThreshold() {
+        return diskThreshold;
+    }
+
+    public void setDiskThreshold(double diskThreshold) {
+        this.diskThreshold = diskThreshold;
+    }
+
+    public double getCpuThreshold() {
+        return cpuThreshold;
+    }
+
+    public void setCpuThreshold(double cpuThreshold) {
+        this.cpuThreshold = cpuThreshold;
+    }
+
+    public double getNetworkInThreshold() {
+        return networkInThreshold;
+    }
+
+    public void setNetworkInThreshold(double networkInThreshold) {
+        this.networkInThreshold = networkInThreshold;
+    }
+
+    public double getNetworkOutThreshold() {
+        return networkOutThreshold;
+    }
+
+    public void setNetworkOutThreshold(double networkOutThreshold) {
+        this.networkOutThreshold = networkOutThreshold;
+    }
+
+    public List<HostEnv> getHardwareEnv() {
+        return hardwareEnv;
+    }
+
+    public void setHardwareEnv(List<HostEnv> hardwareEnv) {
+        this.hardwareEnv = hardwareEnv;
+    }
+
+    public String getBalanceBrokers() {
+        return balanceBrokers;
+    }
+
+    public void setBalanceBrokers(String balanceBrokers) {
+        this.balanceBrokers = balanceBrokers;
+    }
+
+    public Properties getKafkaConfig() {
+        return kafkaConfig;
+    }
+
+    public void setKafkaConfig(Properties kafkaConfig) {
+        this.kafkaConfig = kafkaConfig;
+    }
+
+    public String getEsIndexPrefix() {
+        return esIndexPrefix;
+    }
+
+    public String getOfflineBrokers() {
+        return offlineBrokers;
+    }
+
+    public void setOfflineBrokers(String offlineBrokers) {
+        this.offlineBrokers = offlineBrokers;
+    }
+
+    public int getBeforeSeconds() {
+        return beforeSeconds;
+    }
+
+    public void setBeforeSeconds(int beforeSeconds) {
+        this.beforeSeconds = beforeSeconds;
+    }
+
+    public double getTopicLeaderThreshold() {
+        return topicLeaderThreshold;
+    }
+
+    public void setTopicLeaderThreshold(double topicLeaderThreshold) {
+        this.topicLeaderThreshold = topicLeaderThreshold;
+    }
+
+    @Override
+    public String toString() {
+        return "BalanceParameter{" +
+                "cluster='" + cluster + '\'' +
+                ", kafkaConfig=" + kafkaConfig +
+                ", esRestURL='" + esRestURL + '\'' +
+                ", esPassword='" + esPassword + '\'' +
+                ", esIndexPrefix='" + esIndexPrefix + '\'' +
+                ", goals=" + goals +
+                ", excludedTopics='" + excludedTopics + '\'' +
+                ", ignoredTopics='" + ignoredTopics + '\'' +
+                ", offlineBrokers='" + offlineBrokers + '\'' +
+                ", balanceBrokers='" + balanceBrokers + '\'' +
+                ", topicReplicaThreshold=" + topicReplicaThreshold +
+                ", diskThreshold=" + diskThreshold +
+                ", cpuThreshold=" + cpuThreshold +
+                ", networkInThreshold=" + networkInThreshold +
+                ", networkOutThreshold=" + networkOutThreshold +
+                ", beforeSeconds=" + beforeSeconds +
+                ", hardwareEnv=" + hardwareEnv +
+                ", topicLeaderThreshold=" + topicLeaderThreshold +
+                '}';
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/executor/common/BalanceTask.java

@@ -0,0 +1,43 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common;
+
+import java.util.List;
+
+public class BalanceTask {
+    private String topic;
+    private int partition;
+    //副本分配列表
+    private List<Integer> replicas;
+
+    public String getTopic() {
+        return topic;
+    }
+
+    public void setTopic(String topic) {
+        this.topic = topic;
+    }
+
+    public int getPartition() {
+        return partition;
+    }
+
+    public void setPartition(int partition) {
+        this.partition = partition;
+    }
+
+    public List<Integer> getReplicas() {
+        return replicas;
+    }
+
+    public void setReplicas(List<Integer> replicas) {
+        this.replicas = replicas;
+    }
+
+    @Override
+    public String toString() {
+        return "BalanceTask{" +
+                "topic='" + topic + '\'' +
+                ", partition=" + partition +
+                ", replicas=" + replicas +
+                '}';
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/executor/common/BalanceThreshold.java

@@ -0,0 +1,41 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Resource;
+
+public class BalanceThreshold {
+    private final Resource _resource;
+    private final double _upper;
+    private final double _lower;
+
+    public BalanceThreshold(Resource resource, double threshold, double avgResource) {
+        _resource = resource;
+        _upper = avgResource * (1 + threshold);
+        _lower = avgResource * (1 - threshold);
+    }
+
+    public Resource resource() {
+        return _resource;
+    }
+
+    public boolean isInRange(double utilization) {
+        return utilization > _lower && utilization < _upper;
+    }
+
+    public int state(double utilization) {
+        if (utilization <= _lower) {
+            return -1;
+        } else if (utilization >= _upper) {
+            return 1;
+        }
+        return 0;
+    }
+
+    @Override
+    public String toString() {
+        return "BalanceThreshold{" +
+                "_resource=" + _resource +
+                ", _upper=" + _upper +
+                ", _lower=" + _lower +
+                '}';
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/executor/common/BrokerBalanceState.java

@@ -0,0 +1,144 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common;
+
+public class BrokerBalanceState {
+    //CPU平均资源
+    private Double cpuAvgResource;
+    //CPU资源使用率
+    private Double cpuUtilization;
+    // -1,低于均衡范围
+    // 0,均衡范围内
+    // 1,高于均衡范围
+    private Integer cpuBalanceState;
+    //磁盘平均资源
+    private Double diskAvgResource;
+    //磁盘资源使用率
+    private Double diskUtilization;
+    //磁盘均衡状态
+    private Integer diskBalanceState;
+    //流入平均资源
+    private Double bytesInAvgResource;
+    //流入资源使用率
+    private Double bytesInUtilization;
+    //流入均衡状态
+    private Integer bytesInBalanceState;
+    //流出平均资源
+    private Double bytesOutAvgResource;
+    //流出资源使用率
+    private Double bytesOutUtilization;
+    //流出均衡状态
+    private Integer bytesOutBalanceState;
+
+    public Double getCpuAvgResource() {
+        return cpuAvgResource;
+    }
+
+    public void setCpuAvgResource(Double cpuAvgResource) {
+        this.cpuAvgResource = cpuAvgResource;
+    }
+
+    public Double getCpuUtilization() {
+        return cpuUtilization;
+    }
+
+    public void setCpuUtilization(Double cpuUtilization) {
+        this.cpuUtilization = cpuUtilization;
+    }
+
+    public Integer getCpuBalanceState() {
+        return cpuBalanceState;
+    }
+
+    public void setCpuBalanceState(Integer cpuBalanceState) {
+        this.cpuBalanceState = cpuBalanceState;
+    }
+
+    public Double getDiskAvgResource() {
+        return diskAvgResource;
+    }
+
+    public void setDiskAvgResource(Double diskAvgResource) {
+        this.diskAvgResource = diskAvgResource;
+    }
+
+    public Double getDiskUtilization() {
+        return diskUtilization;
+    }
+
+    public void setDiskUtilization(Double diskUtilization) {
+        this.diskUtilization = diskUtilization;
+    }
+
+    public Integer getDiskBalanceState() {
+        return diskBalanceState;
+    }
+
+    public void setDiskBalanceState(Integer diskBalanceState) {
+        this.diskBalanceState = diskBalanceState;
+    }
+
+    public Double getBytesInAvgResource() {
+        return bytesInAvgResource;
+    }
+
+    public void setBytesInAvgResource(Double bytesInAvgResource) {
+        this.bytesInAvgResource = bytesInAvgResource;
+    }
+
+    public Double getBytesInUtilization() {
+        return bytesInUtilization;
+    }
+
+    public void setBytesInUtilization(Double bytesInUtilization) {
+        this.bytesInUtilization = bytesInUtilization;
+    }
+
+    public Integer getBytesInBalanceState() {
+        return bytesInBalanceState;
+    }
+
+    public void setBytesInBalanceState(Integer bytesInBalanceState) {
+        this.bytesInBalanceState = bytesInBalanceState;
+    }
+
+    public Double getBytesOutAvgResource() {
+        return bytesOutAvgResource;
+    }
+
+    public void setBytesOutAvgResource(Double bytesOutAvgResource) {
+        this.bytesOutAvgResource = bytesOutAvgResource;
+    }
+
+    public Double getBytesOutUtilization() {
+        return bytesOutUtilization;
+    }
+
+    public void setBytesOutUtilization(Double bytesOutUtilization) {
+        this.bytesOutUtilization = bytesOutUtilization;
+    }
+
+    public Integer getBytesOutBalanceState() {
+        return bytesOutBalanceState;
+    }
+
+    public void setBytesOutBalanceState(Integer bytesOutBalanceState) {
+        this.bytesOutBalanceState = bytesOutBalanceState;
+    }
+
+    @Override
+    public String toString() {
+        return "BrokerBalanceState{" +
+                "cpuAvgResource=" + cpuAvgResource +
+                ", cpuUtilization=" + cpuUtilization +
+                ", cpuBalanceState=" + cpuBalanceState +
+                ", diskAvgResource=" + diskAvgResource +
+                ", diskUtilization=" + diskUtilization +
+                ", diskBalanceState=" + diskBalanceState +
+                ", bytesInAvgResource=" + bytesInAvgResource +
+                ", bytesInUtilization=" + bytesInUtilization +
+                ", bytesInBalanceState=" + bytesInBalanceState +
+                ", bytesOutAvgResource=" + bytesOutAvgResource +
+                ", bytesOutUtilization=" + bytesOutUtilization +
+                ", bytesOutBalanceState=" + bytesOutBalanceState +
+                '}';
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/executor/common/HostEnv.java

@@ -0,0 +1,76 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common;
+
+public class HostEnv {
+    //BrokerId
+    private int id;
+    //机器IP
+    private String host;
+    //机架ID
+    private String rackId;
+    //CPU核数
+    private int cpu;
+    //磁盘总容量
+    private double disk;
+    //网卡容量
+    private double network;
+
+    public int getId() {
+        return id;
+    }
+
+    public void setId(int id) {
+        this.id = id;
+    }
+
+    public String getHost() {
+        return host;
+    }
+
+    public void setHost(String host) {
+        this.host = host;
+    }
+
+    public String getRackId() {
+        return rackId;
+    }
+
+    public void setRackId(String rackId) {
+        this.rackId = rackId;
+    }
+
+    public int getCpu() {
+        return cpu;
+    }
+
+    public void setCpu(int cpu) {
+        this.cpu = cpu;
+    }
+
+    public double getDisk() {
+        return disk;
+    }
+
+    public void setDisk(double disk) {
+        this.disk = disk;
+    }
+
+    public double getNetwork() {
+        return network;
+    }
+
+    public void setNetwork(double network) {
+        this.network = network;
+    }
+
+    @Override
+    public String toString() {
+        return "HostEnv{" +
+                "id=" + id +
+                ", host='" + host + '\'' +
+                ", rackId='" + rackId + '\'' +
+                ", cpu=" + cpu +
+                ", disk=" + disk +
+                ", network=" + network +
+                '}';
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/executor/common/OptimizerResult.java

@@ -0,0 +1,218 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Broker;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.ClusterModel;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.ReplicaPlacementInfo;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Resource;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ExecutionProposal;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.OptimizationOptions;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.utils.GoalUtils;
+import org.apache.kafka.common.TopicPartition;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+public class OptimizerResult {
+    private static final Logger logger = LoggerFactory.getLogger(OptimizerResult.class);
+    private Set<ExecutionProposal> _proposals;
+    private final BalanceParameter parameter;
+    private Set<Broker> _balanceBrokersBefore;
+    private Set<Broker> _balanceBrokersAfter;
+    private final ClusterModel clusterModel;
+    private final Map<TopicPartition, List<BalanceActionHistory>> balanceActionHistory;
+    private final Map<String, BalanceThreshold> balanceThreshold;
+
+    public OptimizerResult(ClusterModel clusterModel, OptimizationOptions optimizationOptions) {
+        this.clusterModel = clusterModel;
+        balanceActionHistory = clusterModel.balanceActionHistory();
+        parameter = optimizationOptions.parameter();
+        double[] clusterAvgResource = clusterModel.avgOfUtilization();
+        balanceThreshold = GoalUtils.getBalanceThreshold(parameter, clusterAvgResource);
+    }
+
+    /**
+     * 计划概览
+     */
+    public BalanceOverview resultOverview() {
+        BalanceOverview overview = new BalanceOverview();
+        overview.setTopicBlacklist(parameter.getExcludedTopics());
+        overview.setMoveReplicas(_proposals.size());
+        overview.setNodeRange(parameter.getBalanceBrokers());
+        overview.setRemoveNode(parameter.getOfflineBrokers());
+        Map<Resource, Double> balanceThreshold = new HashMap<>();
+        balanceThreshold.put(Resource.CPU, parameter.getCpuThreshold());
+        balanceThreshold.put(Resource.DISK, parameter.getDiskThreshold());
+        balanceThreshold.put(Resource.NW_IN, parameter.getNetworkInThreshold());
+        balanceThreshold.put(Resource.NW_OUT, parameter.getNetworkOutThreshold());
+        overview.setBalanceThreshold(balanceThreshold);
+        Set<String> moveTopicsSet = _proposals.stream().map(j -> j.tp().topic()).collect(Collectors.toSet());
+        String moveTopics = String.join(",", moveTopicsSet);
+        overview.setMoveTopics(moveTopics);
+        //Leader切换时不需要进行统计
+        double totalMoveSize = _proposals.stream().filter(i -> Integer.max(i.replicasToAdd().size(), i.replicasToRemove().size()) != 0).mapToDouble(ExecutionProposal::partitionSize).sum();
+        overview.setTotalMoveSize(totalMoveSize);
+        return overview;
+    }
+
+    /**
+     * 计划明细
+     */
+    public Map<Integer, BalanceDetailed> resultDetailed() {
+        Map<Integer, BalanceDetailed> details = new HashMap<>();
+        _balanceBrokersBefore.forEach(i -> {
+            BalanceDetailed balanceDetailed = new BalanceDetailed();
+            balanceDetailed.setBrokerId(i.id());
+            balanceDetailed.setHost(i.host());
+            balanceDetailed.setCurrentCPUUtilization(i.utilizationFor(Resource.CPU));
+            balanceDetailed.setCurrentDiskUtilization(i.utilizationFor(Resource.DISK));
+            balanceDetailed.setCurrentNetworkInUtilization(i.utilizationFor(Resource.NW_IN));
+            balanceDetailed.setCurrentNetworkOutUtilization(i.utilizationFor(Resource.NW_OUT));
+            details.put(i.id(), balanceDetailed);
+        });
+        Map<Integer, Double> totalAddReplicaCount = new HashMap<>();
+        Map<Integer, Double> totalAddDataSize = new HashMap<>();
+        Map<Integer, Double> totalRemoveReplicaCount = new HashMap<>();
+        Map<Integer, Double> totalRemoveDataSize = new HashMap<>();
+        _proposals.forEach(i -> {
+            i.replicasToAdd().forEach((k, v) -> {
+                totalAddReplicaCount.merge(k, v[0], Double::sum);
+                totalAddDataSize.merge(k, v[1], Double::sum);
+            });
+            i.replicasToRemove().forEach((k, v) -> {
+                totalRemoveReplicaCount.merge(k, v[0], Double::sum);
+                totalRemoveDataSize.merge(k, v[1], Double::sum);
+            });
+        });
+        _balanceBrokersAfter.forEach(i -> {
+            BalanceDetailed balanceDetailed = details.get(i.id());
+            balanceDetailed.setLastCPUUtilization(i.utilizationFor(Resource.CPU));
+            balanceDetailed.setLastDiskUtilization(i.utilizationFor(Resource.DISK));
+            balanceDetailed.setLastNetworkInUtilization(i.utilizationFor(Resource.NW_IN));
+            balanceDetailed.setLastNetworkOutUtilization(i.utilizationFor(Resource.NW_OUT));
+            balanceDetailed.setMoveInReplicas(totalAddReplicaCount.getOrDefault(i.id(), 0.0));
+            balanceDetailed.setMoveOutReplicas(totalRemoveReplicaCount.getOrDefault(i.id(), 0.0));
+            balanceDetailed.setMoveInDiskSize(totalAddDataSize.getOrDefault(i.id(), 0.0));
+            balanceDetailed.setMoveOutDiskSize(totalRemoveDataSize.getOrDefault(i.id(), 0.0));
+            for (String str : parameter.getGoals()) {
+                BalanceThreshold threshold = balanceThreshold.get(str);
+                if (!threshold.isInRange(i.utilizationFor(threshold.resource()))) {
+                    balanceDetailed.setBalanceState(-1);
+                    break;
+                }
+            }
+        });
+
+        return details;
+    }
+
+    /**
+     * 计划任务
+     */
+    public List<BalanceTask> resultTask() {
+        List<BalanceTask> balanceTasks = new ArrayList<>();
+        _proposals.forEach(proposal -> {
+            BalanceTask task = new BalanceTask();
+            task.setTopic(proposal.tp().topic());
+            task.setPartition(proposal.tp().partition());
+            List<Integer> replicas = proposal.newReplicas().stream().map(ReplicaPlacementInfo::brokerId).collect(Collectors.toList());
+            task.setReplicas(replicas);
+            balanceTasks.add(task);
+        });
+        return balanceTasks;
+    }
+
+    public Map<TopicPartition, List<BalanceActionHistory>> resultBalanceActionHistory() {
+        return Collections.unmodifiableMap(balanceActionHistory);
+    }
+
+    public String resultJsonOverview() {
+        try {
+            return new ObjectMapper().writeValueAsString(resultOverview());
+        } catch (Exception e) {
+            logger.error("result overview json process error", e);
+        }
+        return "{}";
+    }
+
+    public String resultJsonDetailed() {
+        try {
+            return new ObjectMapper().writeValueAsString(resultDetailed());
+        } catch (Exception e) {
+            logger.error("result detailed json process error", e);
+        }
+        return "{}";
+    }
+
+    public String resultJsonTask() {
+        try {
+            Map<String, Object> reassign = new HashMap<>();
+            reassign.put("partitions", resultTask());
+            reassign.put("version", 1);
+            return new ObjectMapper().writeValueAsString(reassign);
+        } catch (Exception e) {
+            logger.error("result task json process error", e);
+        }
+        return "{}";
+    }
+
+    public List<TopicChangeHistory> resultTopicChangeHistory() {
+        List<TopicChangeHistory> topicChangeHistoryList = new ArrayList<>();
+        for (ExecutionProposal proposal : _proposals) {
+            TopicChangeHistory changeHistory = new TopicChangeHistory();
+            changeHistory.setTopic(proposal.tp().topic());
+            changeHistory.setPartition(proposal.tp().partition());
+            changeHistory.setOldLeader(proposal.oldLeader().brokerId());
+            changeHistory.setNewLeader(proposal.newReplicas().get(0).brokerId());
+            List<Integer> balanceBefore = proposal.oldReplicas().stream().map(ReplicaPlacementInfo::brokerId).collect(Collectors.toList());
+            List<Integer> balanceAfter = proposal.newReplicas().stream().map(ReplicaPlacementInfo::brokerId).collect(Collectors.toList());
+            changeHistory.setBalanceBefore(balanceBefore);
+            changeHistory.setBalanceAfter(balanceAfter);
+            topicChangeHistoryList.add(changeHistory);
+        }
+        return topicChangeHistoryList;
+    }
+
+    public String resultJsonTopicChangeHistory() {
+        try {
+            return new ObjectMapper().writeValueAsString(resultTopicChangeHistory());
+        } catch (Exception e) {
+            logger.error("result balance topic change history json process error", e);
+        }
+        return "{}";
+    }
+
+    public String resultJsonBalanceActionHistory() {
+        try {
+            return new ObjectMapper().writeValueAsString(balanceActionHistory);
+        } catch (Exception e) {
+            logger.error("result balance action history json process error", e);
+        }
+        return "{}";
+    }
+
+    public void setBalanceBrokersFormBefore(Set<Broker> balanceBrokersBefore) {
+        _balanceBrokersBefore = new HashSet<>();
+        balanceBrokersBefore.forEach(i -> {
+            Broker broker = new Broker(i.rack(), i.id(), i.host(), false, i.capacity());
+            broker.load().addLoad(i.load());
+            _balanceBrokersBefore.add(broker);
+        });
+    }
+
+    public void setBalanceBrokersFormAfter(Set<Broker> balanceBrokersAfter) {
+        _balanceBrokersAfter = balanceBrokersAfter;
+    }
+
+    public void setExecutionProposal(Set<ExecutionProposal> proposals) {
+        _proposals = proposals;
+    }
+
+    // test
+    public ClusterModel clusterModel() {
+        return clusterModel;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/executor/common/TopicChangeHistory.java

@@ -0,0 +1,78 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common;
+
+import java.util.List;
+
+public class TopicChangeHistory {
+    //均衡Topic
+    private String topic;
+    //均衡分区
+    private int partition;
+    //旧Leader的BrokerID
+    private int oldLeader;
+    //均衡前副本分布
+    private List<Integer> balanceBefore;
+    //新Leader的BrokerID
+    private int newLeader;
+    //均衡后副本分布
+    private List<Integer> balanceAfter;
+
+    public String getTopic() {
+        return topic;
+    }
+
+    public void setTopic(String topic) {
+        this.topic = topic;
+    }
+
+    public int getPartition() {
+        return partition;
+    }
+
+    public void setPartition(int partition) {
+        this.partition = partition;
+    }
+
+    public int getOldLeader() {
+        return oldLeader;
+    }
+
+    public void setOldLeader(int oldLeader) {
+        this.oldLeader = oldLeader;
+    }
+
+    public List<Integer> getBalanceBefore() {
+        return balanceBefore;
+    }
+
+    public void setBalanceBefore(List<Integer> balanceBefore) {
+        this.balanceBefore = balanceBefore;
+    }
+
+    public int getNewLeader() {
+        return newLeader;
+    }
+
+    public void setNewLeader(int newLeader) {
+        this.newLeader = newLeader;
+    }
+
+    public List<Integer> getBalanceAfter() {
+        return balanceAfter;
+    }
+
+    public void setBalanceAfter(List<Integer> balanceAfter) {
+        this.balanceAfter = balanceAfter;
+    }
+
+    @Override
+    public String toString() {
+        return "TopicChangeHistory{" +
+                "topic='" + topic + '\'' +
+                ", partition='" + partition + '\'' +
+                ", oldLeader=" + oldLeader +
+                ", balanceBefore=" + balanceBefore +
+                ", newLeader=" + newLeader +
+                ", balanceAfter=" + balanceAfter +
+                '}';
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/metric/Metric.java

@@ -0,0 +1,51 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.metric;
+
+/**
+ * @author leewei
+ * @date 2022/5/12
+ */
+public class Metric {
+    private String topic;
+    private int partition;
+    private double cpu;
+    private double bytesIn;
+    private double bytesOut;
+    private double disk;
+
+    public Metric() {
+
+    }
+
+    public Metric(String topic, int partition, double cpu, double bytesIn, double bytesOut, double disk) {
+        this.topic = topic;
+        this.partition = partition;
+        this.cpu = cpu;
+        this.bytesIn = bytesIn;
+        this.bytesOut = bytesOut;
+        this.disk = disk;
+    }
+
+    public String topic() {
+        return topic;
+    }
+
+    public int partition() {
+        return partition;
+    }
+
+    public double cpu() {
+        return cpu;
+    }
+
+    public double bytesIn() {
+        return bytesIn;
+    }
+
+    public double bytesOut() {
+        return bytesOut;
+    }
+
+    public double disk() {
+        return disk;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/metric/MetricStore.java

@@ -0,0 +1,9 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.metric;
+
+/**
+ * @author leewei
+ * @date 2022/4/29
+ */
+public interface MetricStore {
+    Metrics getMetrics(String clusterName, int beforeSeconds);
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/metric/Metrics.java

@@ -0,0 +1,46 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.metric;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Load;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Resource;
+import org.apache.kafka.common.TopicPartition;
+
+import java.util.*;
+
+/**
+ * @author leewei
+ * @date 2022/4/29
+ */
+public class Metrics {
+    private final Map<TopicPartition, Metric> metricByTopicPartition;
+
+    public Metrics() {
+        this.metricByTopicPartition = new HashMap<>();
+    }
+
+    public void addMetrics(Metric metric) {
+        TopicPartition topicPartition = new TopicPartition(metric.topic(), metric.partition());
+        this.metricByTopicPartition.put(topicPartition, metric);
+    }
+
+    public List<Metric> values() {
+        return Collections.unmodifiableList(new ArrayList<>(this.metricByTopicPartition.values()));
+    }
+
+    public Metric metric(TopicPartition topicPartition) {
+        return this.metricByTopicPartition.get(topicPartition);
+    }
+
+    public Load load(TopicPartition topicPartition) {
+        Metric metric = this.metricByTopicPartition.get(topicPartition);
+        if (metric == null) {
+            return null;
+        }
+        Load load = new Load();
+        load.setLoad(Resource.CPU, metric.cpu());
+        load.setLoad(Resource.NW_IN, metric.bytesIn());
+        load.setLoad(Resource.NW_OUT, metric.bytesOut());
+        load.setLoad(Resource.DISK, metric.disk());
+
+        return load;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/metric/elasticsearch/ElasticsearchMetricStore.java

@@ -0,0 +1,124 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.metric.elasticsearch;
+
+import com.fasterxml.jackson.databind.JsonNode;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.metric.Metric;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.metric.MetricStore;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.metric.Metrics;
+import org.apache.commons.io.IOUtils;
+import org.apache.commons.lang3.StringUtils;
+import org.apache.http.Header;
+import org.apache.http.HttpHost;
+import org.apache.http.message.BasicHeader;
+import org.elasticsearch.client.Request;
+import org.elasticsearch.client.Response;
+import org.elasticsearch.client.RestClient;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.io.IOException;
+import java.nio.charset.StandardCharsets;
+import java.text.DateFormat;
+import java.text.SimpleDateFormat;
+import java.util.*;
+
+/**
+ * @author leewei
+ * @date 2022/4/29
+ */
+public class ElasticsearchMetricStore implements MetricStore {
+    private final Logger logger = LoggerFactory.getLogger(ElasticsearchMetricStore.class);
+    private final ObjectMapper objectMapper = new ObjectMapper();
+
+    private final String hosts;
+
+    private final String password;
+
+    private final String indexPrefix;
+    private final String format;
+
+    public ElasticsearchMetricStore(String hosts, String password, String indexPrefix) {
+        this(hosts, password, indexPrefix, "yyyy-MM-dd");
+    }
+
+    public ElasticsearchMetricStore(String hosts, String password, String indexPrefix, String format) {
+        this.hosts = hosts;
+        this.password = password;
+        this.indexPrefix = indexPrefix;
+        this.format = format;
+    }
+
+    @Override
+    public Metrics getMetrics(String clusterName, int beforeSeconds) {
+        Metrics metrics = new Metrics();
+        try {
+            String metricsQueryJson = IOUtils.resourceToString("/MetricsQuery.json", StandardCharsets.UTF_8);
+            metricsQueryJson = metricsQueryJson.replaceAll("<var_before_time>", Integer.toString(beforeSeconds))
+                    .replaceAll("<var_cluster_name>", clusterName);
+
+            List<Header> defaultHeaders = new ArrayList<>();
+            if (StringUtils.isNotBlank(password)) {
+                String encode = Base64.getEncoder().encodeToString(String.format("%s", this.password).getBytes(StandardCharsets.UTF_8));
+                Header header = new BasicHeader("Authorization", "Basic " + encode);
+                defaultHeaders.add(header);
+            }
+
+            Header[] headers = new Header[defaultHeaders.size()];
+            defaultHeaders.toArray(headers);
+            try (RestClient restClient = RestClient.builder(toHttpHosts(this.hosts)).setDefaultHeaders(headers).build()) {
+                Request request = new Request(
+                        "GET",
+                        "/" + indices(beforeSeconds) + "/_search");
+                request.setJsonEntity(metricsQueryJson);
+                logger.debug("Es metrics query for cluster: {} request: {} dsl: {}", clusterName, request, metricsQueryJson);
+                Response response = restClient.performRequest(request);
+                if (response.getStatusLine().getStatusCode() == 200) {
+                    JsonNode rootNode = objectMapper.readTree(response.getEntity().getContent());
+                    JsonNode topics = rootNode.at("/aggregations/by_topic/buckets");
+                    for (JsonNode topic : topics) {
+                        String topicName = topic.path("key").asText();
+                        JsonNode partitions = topic.at("/by_partition/buckets");
+                        for (JsonNode partition : partitions) {
+                            int partitionId = partition.path("key").asInt();
+                            // double cpu = partition.at("/avg_cpu/value").asDouble();
+                            double cpu = 0D;
+                            double bytesIn = partition.at("/avg_bytes_in/value").asDouble();
+                            double bytesOut = partition.at("/avg_bytes_out/value").asDouble();
+                            double disk = partition.at("/lastest_disk/hits/hits/0/_source/metrics/LogSize").asDouble();
+                            // add
+                            metrics.addMetrics(new Metric(topicName, partitionId, cpu, bytesIn, bytesOut, disk));
+                        }
+                    }
+                }
+            }
+        } catch (IOException e) {
+            throw new IllegalArgumentException("Cannot get metrics of cluster: " + clusterName, e);
+        }
+        logger.debug("Es metrics query for cluster: {} result count: {}", clusterName, metrics.values().size());
+        return metrics;
+    }
+
+    private String indices(long beforeSeconds) {
+        Set<String> indices = new TreeSet<>();
+        DateFormat df = new SimpleDateFormat(this.format);
+        long endTime = System.currentTimeMillis();
+        long time = endTime - (beforeSeconds * 1000);
+        while (time < endTime) {
+            indices.add(this.indexPrefix + df.format(new Date(time)));
+            time += 24 * 60 * 60 * 1000; // add 24h
+        }
+        indices.add(this.indexPrefix + df.format(new Date(endTime)));
+        return String.join(",", indices);
+    }
+
+    private static HttpHost[] toHttpHosts(String url) {
+        String[] nodes = url.split(",");
+        HttpHost[] hosts = new HttpHost[nodes.length];
+        for (int i = 0; i < nodes.length; i++) {
+            String [] ipAndPort = nodes[i].split(":");
+            hosts[i] = new HttpHost(ipAndPort[0], ipAndPort.length > 1 ? Integer.parseInt(ipAndPort[1]) : 9200);
+        }
+        return hosts;
+    }
+
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/model/Broker.java

@@ -0,0 +1,222 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.model;
+
+import org.apache.kafka.common.TopicPartition;
+
+import java.util.*;
+import java.util.function.Predicate;
+import java.util.stream.Collectors;
+
+/**
+ * @author leewei
+ * @date 2022/4/29
+ */
+public class Broker implements Comparable<Broker> {
+    public static final Broker NONE = new Broker(new Rack("-1"), -1, "localhost", true, new Capacity());
+
+    private final Rack rack;
+    private final int id;
+    private final String host;
+    private final boolean isOffline;
+
+    private final Set<Replica> replicas;
+    private final Set<Replica> leaderReplicas;
+    private final Map<String, Map<Integer, Replica>> topicReplicas;
+
+    private final Load load;
+
+    private final Capacity capacity;
+
+    public Broker(Rack rack, int id, String host, boolean isOffline, Capacity capacity) {
+        this.rack = rack;
+        this.id = id;
+        this.host = host;
+        this.isOffline = isOffline;
+        this.replicas = new HashSet<>();
+        this.leaderReplicas = new HashSet<>();
+        this.topicReplicas = new HashMap<>();
+        this.load = new Load();
+        this.capacity = capacity;
+    }
+
+    public Rack rack() {
+        return rack;
+    }
+
+    public int id() {
+        return id;
+    }
+
+    public String host() {
+        return host;
+    }
+
+    public boolean isOffline() {
+        return isOffline;
+    }
+
+    public Set<Replica> replicas() {
+        return Collections.unmodifiableSet(this.replicas);
+    }
+
+    public SortedSet<Replica> sortedReplicasFor(Resource resource, boolean reverse) {
+        return sortedReplicasFor(null, resource, reverse);
+    }
+
+    public SortedSet<Replica> sortedReplicasFor(Predicate<? super Replica> filter, Resource resource, boolean reverse) {
+        Comparator<Replica> comparator =
+                Comparator.<Replica>comparingDouble(r -> r.load().loadFor(resource))
+                        .thenComparingInt(Replica::hashCode);
+        if (reverse)
+            comparator = comparator.reversed();
+        SortedSet<Replica> sortedReplicas = new TreeSet<>(comparator);
+        if (filter == null) {
+            sortedReplicas.addAll(this.replicas);
+        } else {
+            sortedReplicas.addAll(this.replicas.stream()
+                    .filter(filter).collect(Collectors.toList()));
+        }
+
+        return sortedReplicas;
+    }
+
+    public Set<Replica> leaderReplicas() {
+        return Collections.unmodifiableSet(this.leaderReplicas);
+    }
+
+    public Load load() {
+        return load;
+    }
+
+    public Capacity capacity() {
+        return capacity;
+    }
+
+    public double utilizationFor(Resource resource) {
+        return this.load.loadFor(resource) / this.capacity.capacityFor(resource);
+    }
+
+    public double expectedUtilizationAfterAdd(Resource resource, Load loadToChange) {
+        return (this.load.loadFor(resource) + ((loadToChange == null) ? 0 : loadToChange.loadFor(resource)))
+                / this.capacity.capacityFor(resource);
+    }
+
+    public double expectedUtilizationAfterRemove(Resource resource, Load loadToChange) {
+        return (this.load.loadFor(resource) - ((loadToChange == null) ? 0 : loadToChange.loadFor(resource)))
+                / this.capacity.capacityFor(resource);
+    }
+
+    public Replica replica(TopicPartition topicPartition) {
+        Map<Integer, Replica> replicas = this.topicReplicas.get(topicPartition.topic());
+        if (replicas == null) {
+            return null;
+        }
+        return replicas.get(topicPartition.partition());
+    }
+
+    void addReplica(Replica replica) {
+        // Add replica to list of all replicas in the broker.
+        if (this.replicas.contains(replica)) {
+            throw new IllegalStateException(String.format("Broker %d already has replica %s", this.id,
+                    replica.topicPartition()));
+        }
+        this.replicas.add(replica);
+        // Add topic replica.
+        this.topicReplicas.computeIfAbsent(replica.topicPartition().topic(), t -> new HashMap<>())
+                .put(replica.topicPartition().partition(), replica);
+
+        // Add leader replica.
+        if (replica.isLeader()) {
+            this.leaderReplicas.add(replica);
+        }
+
+        // Add replica load to the broker load.
+        this.load.addLoad(replica.load());
+    }
+
+    Replica removeReplica(TopicPartition topicPartition) {
+        Replica replica = replica(topicPartition);
+        if (replica != null) {
+            this.replicas.remove(replica);
+            Map<Integer, Replica> replicas = this.topicReplicas.get(topicPartition.topic());
+            if (replicas != null) {
+                replicas.remove(topicPartition.partition());
+            }
+            if (replica.isLeader()) {
+                this.leaderReplicas.remove(replica);
+            }
+            this.load.subtractLoad(replica.load());
+        }
+        return replica;
+    }
+
+    Load makeFollower(TopicPartition topicPartition) {
+        Replica replica = replica(topicPartition);
+        Load leaderLoadDelta = replica.makeFollower();
+        // Remove leadership load from load.
+        this.load.subtractLoad(leaderLoadDelta);
+        this.leaderReplicas.remove(replica);
+        return leaderLoadDelta;
+    }
+
+    void makeLeader(TopicPartition topicPartition, Load leaderLoadDelta) {
+        Replica replica = replica(topicPartition);
+        replica.makeLeader(leaderLoadDelta);
+        // Add leadership load to load.
+        this.load.addLoad(leaderLoadDelta);
+        this.leaderReplicas.add(replica);
+    }
+
+    @Override
+    public boolean equals(Object o) {
+        if (this == o) return true;
+        if (o == null || getClass() != o.getClass()) return false;
+        Broker broker = (Broker) o;
+        return id == broker.id;
+    }
+
+    @Override
+    public int hashCode() {
+        return Objects.hash(id);
+    }
+
+    @Override
+    public int compareTo(Broker o) {
+        return Integer.compare(id, o.id());
+    }
+
+    @Override
+    public String toString() {
+        return "Broker{" +
+                "id=" + id +
+                ", host='" + host + '\'' +
+                ", rack=" + rack.id() +
+                ", replicas=" + replicas +
+                ", leaderReplicas=" + leaderReplicas +
+                ", topicReplicas=" + topicReplicas +
+                ", load=" + load +
+                ", capacity=" + capacity +
+                '}';
+    }
+
+    public int numLeadersFor(String topicName) {
+        return (int) replicasOfTopicInBroker(topicName).stream().filter(Replica::isLeader).count();
+    }
+
+    public Set<String> topics() {
+        return topicReplicas.keySet();
+    }
+
+    public int numReplicasOfTopicInBroker(String topic) {
+        Map<Integer, Replica> replicaMap = topicReplicas.get(topic);
+        return replicaMap == null ? 0 : replicaMap.size();
+    }
+
+    public Collection<Replica> replicasOfTopicInBroker(String topic) {
+        Map<Integer, Replica> replicaMap = topicReplicas.get(topic);
+        return replicaMap == null ? Collections.emptySet() : replicaMap.values();
+    }
+
+    public Set<Replica> currentOfflineReplicas() {
+        return replicas.stream().filter(Replica::isCurrentOffline).collect(Collectors.toSet());
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/model/Capacity.java

@@ -0,0 +1,36 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.model;
+
+import java.util.Arrays;
+
+/**
+ * @author leewei
+ * @date 2022/5/9
+ */
+public class Capacity {
+    private final double[] values;
+
+    public Capacity() {
+        this.values = new double[Resource.values().length];
+    }
+
+    public void setCapacity(Resource resource, double capacity) {
+        this.values[resource.id()] = capacity;
+    }
+
+    public double capacityFor(Resource resource) {
+        return this.values[resource.id()];
+    }
+
+    public void addCapacity(Capacity capacityToAdd) {
+        for (Resource resource : Resource.values()) {
+            this.setCapacity(resource, this.capacityFor(resource) + capacityToAdd.capacityFor(resource));
+        }
+    }
+
+    @Override
+    public String toString() {
+        return "Capacity{" +
+                "values=" + Arrays.toString(values) +
+                '}';
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/model/ClusterModel.java

@@ -0,0 +1,236 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.model;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.BalanceActionHistory;
+import org.apache.kafka.common.TopicPartition;
+
+import java.util.*;
+import java.util.function.Predicate;
+import java.util.stream.Collectors;
+
+/**
+ * @author leewei
+ * @date 2022/4/29
+ */
+public class ClusterModel {
+    private final Map<String, Rack> racksById;
+    private final Map<Integer, Broker> brokersById;
+    private final Map<String, Map<TopicPartition, Partition>> partitionsByTopic;
+    private Map<TopicPartition, List<BalanceActionHistory>> balanceActionHistory;
+
+    public ClusterModel() {
+        this.racksById = new HashMap<>();
+        this.brokersById = new HashMap<>();
+        this.partitionsByTopic = new HashMap<>();
+        this.balanceActionHistory = new HashMap<>();
+    }
+
+    public Rack rack(String rackId) {
+        return this.racksById.get(rackId);
+    }
+
+    public Rack addRack(String rackId) {
+        Rack rack = new Rack(rackId);
+        this.racksById.putIfAbsent(rackId, rack);
+        return this.racksById.get(rackId);
+    }
+
+    public SortedSet<Broker> brokers() {
+        return new TreeSet<>(this.brokersById.values());
+    }
+
+    public Set<String> topics() {
+        return this.partitionsByTopic.keySet();
+    }
+
+    public SortedSet<Partition> topic(String name) {
+        return new TreeSet<>(this.partitionsByTopic.get(name).values());
+    }
+
+    public SortedSet<Broker> sortedBrokersFor(Resource resource, boolean reverse) {
+        return sortedBrokersFor(null, resource, reverse);
+    }
+
+    public SortedSet<Broker> sortedBrokersFor(Predicate<? super Broker> filter, Resource resource, boolean reverse) {
+        Comparator<Broker> comparator =
+                Comparator.<Broker>comparingDouble(b -> b.utilizationFor(resource))
+                        .thenComparingInt(Broker::id);
+        if (reverse)
+            comparator = comparator.reversed();
+        SortedSet<Broker> sortedBrokers = new TreeSet<>(comparator);
+        if (filter == null) {
+            sortedBrokers.addAll(this.brokersById.values());
+        } else {
+            sortedBrokers.addAll(this.brokersById.values().stream()
+                    .filter(filter).collect(Collectors.toList()));
+        }
+
+        return sortedBrokers;
+    }
+
+    public Load load() {
+        Load load = new Load();
+        for (Broker broker : this.brokersById.values()) {
+            load.addLoad(broker.load());
+        }
+        return load;
+    }
+
+    public Capacity capacity() {
+        Capacity capacity = new Capacity();
+        for (Broker broker : this.brokersById.values()) {
+            capacity.addCapacity(broker.capacity());
+        }
+        return capacity;
+    }
+
+    public double utilizationFor(Resource resource) {
+        return load().loadFor(resource) / capacity().capacityFor(resource);
+    }
+
+    public double[] avgOfUtilization() {
+        Load load = load();
+        Capacity capacity = capacity();
+        double[] unils = new double[Resource.values().length];
+        for (Resource resource : Resource.values()) {
+            unils[resource.id()] = load.loadFor(resource) / capacity.capacityFor(resource);
+        }
+        return unils;
+    }
+
+    public Broker broker(int brokerId) {
+        return this.brokersById.get(brokerId);
+    }
+
+    public Broker addBroker(String rackId, int brokerId, String host, boolean isOffline, Capacity capacity) {
+        Rack rack = rack(rackId);
+        if (rack == null)
+            throw new IllegalArgumentException("Rack: " + rackId + "is not exists.");
+        Broker broker = new Broker(rack, brokerId, host, isOffline, capacity);
+        rack.addBroker(broker);
+        this.brokersById.put(brokerId, broker);
+        return broker;
+    }
+
+    public Replica addReplica(int brokerId, TopicPartition topicPartition, boolean isLeader, Load load) {
+        return addReplica(brokerId, topicPartition, isLeader, false, load);
+    }
+
+    public Replica addReplica(int brokerId, TopicPartition topicPartition, boolean isLeader, boolean isOffline, Load load) {
+        Broker broker = broker(brokerId);
+        if (broker == null) {
+            throw new IllegalArgumentException("Broker: " + brokerId + "is not exists.");
+        }
+
+        Replica replica = new Replica(broker, topicPartition, isLeader, isOffline);
+        replica.setLoad(load);
+        // add to broker
+        broker.addReplica(replica);
+
+        Map<TopicPartition, Partition> partitions = this.partitionsByTopic
+                .computeIfAbsent(topicPartition.topic(), k -> new HashMap<>());
+
+        Partition partition = partitions.computeIfAbsent(topicPartition, Partition::new);
+        if (isLeader) {
+            partition.addLeader(replica, 0);
+        } else {
+            partition.addFollower(replica, partition.replicas().size());
+        }
+
+        return replica;
+    }
+
+    public Replica removeReplica(int brokerId, TopicPartition topicPartition) {
+        Broker broker = broker(brokerId);
+        return broker.removeReplica(topicPartition);
+    }
+
+    public void relocateLeadership(String goal, String actionType, TopicPartition topicPartition, int sourceBrokerId, int destinationBrokerId) {
+        relocateLeadership(topicPartition, sourceBrokerId, destinationBrokerId);
+        addBalanceActionHistory(goal, actionType, topicPartition, sourceBrokerId, destinationBrokerId);
+    }
+
+    public void relocateLeadership(TopicPartition topicPartition, int sourceBrokerId, int destinationBrokerId) {
+        Broker sourceBroker = broker(sourceBrokerId);
+        Replica sourceReplica = sourceBroker.replica(topicPartition);
+        if (!sourceReplica.isLeader()) {
+            throw new IllegalArgumentException("Cannot relocate leadership of partition " + topicPartition + "from broker "
+                    + sourceBrokerId + " to broker " + destinationBrokerId
+                    + " because the source replica isn't leader.");
+        }
+        Broker destinationBroker = broker(destinationBrokerId);
+        Replica destinationReplica = destinationBroker.replica(topicPartition);
+        if (destinationReplica.isLeader()) {
+            throw new IllegalArgumentException("Cannot relocate leadership of partition " + topicPartition + "from broker "
+                    + sourceBrokerId + " to broker " + destinationBrokerId
+                    + " because the destination replica is a leader.");
+        }
+        Load leaderLoadDelta = sourceBroker.makeFollower(topicPartition);
+        destinationBroker.makeLeader(topicPartition, leaderLoadDelta);
+
+        Partition partition = this.partitionsByTopic.get(topicPartition.topic()).get(topicPartition);
+        partition.relocateLeadership(destinationReplica);
+    }
+
+    public void relocateReplica(String goal, String actionType, TopicPartition topicPartition, int sourceBrokerId, int destinationBrokerId) {
+        relocateReplica(topicPartition, sourceBrokerId, destinationBrokerId);
+        addBalanceActionHistory(goal, actionType, topicPartition, sourceBrokerId, destinationBrokerId);
+    }
+
+    public void relocateReplica(TopicPartition topicPartition, int sourceBrokerId, int destinationBrokerId) {
+        Replica replica = removeReplica(sourceBrokerId, topicPartition);
+        if (replica == null) {
+            throw new IllegalArgumentException("Replica is not in the cluster.");
+        }
+        Broker destinationBroker = broker(destinationBrokerId);
+        replica.setBroker(destinationBroker);
+        destinationBroker.addReplica(replica);
+    }
+
+    private void addBalanceActionHistory(String goal, String actionType, TopicPartition topicPartition, int sourceBrokerId, int destinationBrokerId) {
+        BalanceActionHistory history = new BalanceActionHistory();
+        history.setActionType(actionType);
+        history.setGoal(goal);
+        history.setTopic(topicPartition.topic());
+        history.setPartition(topicPartition.partition());
+        history.setSourceBrokerId(sourceBrokerId);
+        history.setDestinationBrokerId(destinationBrokerId);
+        this.balanceActionHistory.computeIfAbsent(topicPartition, k -> new ArrayList<>()).add(history);
+    }
+
+    public Map<String, Integer> numLeadersPerTopic(Set<String> topics) {
+        Map<String, Integer> leaderCountByTopicNames = new HashMap<>();
+        topics.forEach(topic -> leaderCountByTopicNames.put(topic, partitionsByTopic.get(topic).size()));
+        return leaderCountByTopicNames;
+    }
+
+    public Map<TopicPartition, List<ReplicaPlacementInfo>> getReplicaDistribution() {
+        Map<TopicPartition, List<ReplicaPlacementInfo>> replicaDistribution = new HashMap<>();
+        for (Map<TopicPartition, Partition> tp : partitionsByTopic.values()) {
+            tp.values().forEach(i -> {
+                i.replicas().forEach(j -> replicaDistribution.computeIfAbsent(j.topicPartition(), k -> new ArrayList<>())
+                        .add(new ReplicaPlacementInfo(j.broker().id(), "")));
+            });
+        }
+        return replicaDistribution;
+    }
+
+    public Replica partition(TopicPartition tp) {
+        return partitionsByTopic.get(tp.topic()).get(tp).leader();
+    }
+
+    public Map<TopicPartition, ReplicaPlacementInfo> getLeaderDistribution() {
+        Map<TopicPartition, ReplicaPlacementInfo> leaderDistribution = new HashMap<>();
+        for (Broker broker : brokersById.values()) {
+            broker.leaderReplicas().forEach(i -> leaderDistribution.put(i.topicPartition(), new ReplicaPlacementInfo(broker.id(), "")));
+        }
+        return leaderDistribution;
+    }
+
+    public int numTopicReplicas(String topic) {
+        return partitionsByTopic.get(topic).size();
+    }
+
+    public Map<TopicPartition, List<BalanceActionHistory>> balanceActionHistory() {
+        return this.balanceActionHistory;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/model/Load.java

@@ -0,0 +1,42 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.model;
+
+import java.util.Arrays;
+
+/**
+ * @author leewei
+ * @date 2022/5/9
+ */
+public class Load {
+    private final double[] values;
+
+    public Load() {
+        this.values = new double[Resource.values().length];
+    }
+
+    public void setLoad(Resource resource, double load) {
+        this.values[resource.id()] = load;
+    }
+
+    public double loadFor(Resource resource) {
+        return this.values[resource.id()];
+    }
+
+    public void addLoad(Load loadToAdd) {
+        for (Resource resource : Resource.values()) {
+            this.setLoad(resource, this.loadFor(resource) + loadToAdd.loadFor(resource));
+        }
+    }
+
+    public void subtractLoad(Load loadToSubtract) {
+        for (Resource resource : Resource.values()) {
+            this.setLoad(resource, this.loadFor(resource) - loadToSubtract.loadFor(resource));
+        }
+    }
+
+    @Override
+    public String toString() {
+        return "Load{" +
+                "values=" + Arrays.toString(values) +
+                '}';
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/model/Partition.java

@@ -0,0 +1,148 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.model;
+
+import org.apache.kafka.common.TopicPartition;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Objects;
+import java.util.stream.Collectors;
+
+/**
+ * @author leewei
+ * @date 2022/5/11
+ */
+public class Partition implements Comparable<Partition> {
+    private final TopicPartition topicPartition;
+    private final List<Replica> replicas;
+
+    public Partition(TopicPartition topicPartition) {
+        this.topicPartition = topicPartition;
+        this.replicas = new ArrayList<>();
+    }
+
+    public TopicPartition topicPartition() {
+        return topicPartition;
+    }
+
+    public List<Replica> replicas() {
+        return replicas;
+    }
+
+    public Broker originalLeaderBroker() {
+        return replicas.stream().filter(r -> r.original().isLeader())
+                .findFirst().orElseThrow(IllegalStateException::new).broker();
+    }
+
+    public Replica leader() {
+        return replicas.stream()
+                .filter(Replica::isLeader)
+                .findFirst()
+                .orElseThrow(() ->
+                        new IllegalArgumentException("Not found leader of partition " + topicPartition)
+                );
+    }
+
+    public Replica leaderOrNull() {
+        return replicas.stream()
+                .filter(Replica::isLeader)
+                .findFirst()
+                .orElse(null);
+    }
+
+    public List<Replica> followers() {
+        return replicas.stream()
+                .filter(r -> !r.isLeader())
+                .collect(Collectors.toList());
+    }
+
+    Replica replica(long brokerId) {
+        return replicas.stream()
+                .filter(r -> r.broker().id() == brokerId)
+                .findFirst()
+                .orElseThrow(() ->
+                        new IllegalArgumentException("Requested replica " + brokerId + " is not a replica of partition " + topicPartition)
+                );
+    }
+
+    public boolean isLeaderChanged() {
+        // return originalLeaderBroker() != this.leader().broker();
+        return replicas.stream().anyMatch(Replica::isLeaderChanged);
+    }
+
+    public boolean isChanged() {
+        return replicas.stream().anyMatch(Replica::isChanged);
+    }
+
+    void addLeader(Replica leader, int index) {
+        if (leaderOrNull() != null) {
+            throw new IllegalArgumentException(String.format("Partition %s already has a leader replica %s. Cannot "
+                    + "add a new leader replica %s", this.topicPartition, leaderOrNull(), leader));
+        }
+        if (!leader.isLeader()) {
+            throw new IllegalArgumentException("Inconsistent leadership information. Trying to set " + leader.broker()
+                    + " as the leader for partition " + this.topicPartition + " while the replica is not marked "
+                    + "as a leader.");
+        }
+        this.replicas.add(index, leader);
+    }
+
+    void addFollower(Replica follower, int index) {
+        if (follower.isLeader()) {
+            throw new IllegalArgumentException("Inconsistent leadership information. Trying to add follower replica "
+                    + follower + " while it is a leader.");
+        }
+        if (!follower.topicPartition().equals(this.topicPartition)) {
+            throw new IllegalArgumentException("Inconsistent topic partition. Trying to add follower replica " + follower
+                    + " to partition " + this.topicPartition + ".");
+        }
+        this.replicas.add(index, follower);
+    }
+
+    void relocateLeadership(Replica newLeader) {
+        if (!newLeader.isLeader()) {
+            throw new IllegalArgumentException("Inconsistent leadership information. Trying to set " + newLeader.broker()
+                    + " as the leader for partition " + this.topicPartition + " while the replica is not marked "
+                    + "as a leader.");
+        }
+        int leaderPos = this.replicas.indexOf(newLeader);
+        swapReplicaPositions(0, leaderPos);
+    }
+
+    void swapReplicaPositions(int index1, int index2) {
+        Replica replica1 = this.replicas.get(index1);
+        Replica replica2 = this.replicas.get(index2);
+
+        this.replicas.set(index2, replica1);
+        this.replicas.set(index1, replica2);
+    }
+
+    @Override
+    public boolean equals(Object o) {
+        if (this == o) return true;
+        if (o == null || getClass() != o.getClass()) return false;
+        Partition partition = (Partition) o;
+        return topicPartition.equals(partition.topicPartition);
+    }
+
+    @Override
+    public int hashCode() {
+        return Objects.hash(topicPartition);
+    }
+
+    @Override
+    public String toString() {
+        return "Partition{" +
+                "topicPartition=" + topicPartition +
+                ", replicas=" + replicas +
+                ", originalLeaderBroker=" + originalLeaderBroker().id() +
+                ", leader=" + leaderOrNull() +
+                '}';
+    }
+
+
+
+    @Override
+    public int compareTo(Partition o) {
+        return Integer.compare(topicPartition.partition(), o.topicPartition.partition());
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/model/Rack.java

@@ -0,0 +1,67 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.model;
+
+import java.util.*;
+
+/**
+ * @author leewei
+ * @date 2022/5/9
+ */
+public class Rack {
+    private final String id;
+    private final SortedSet<Broker> brokers;
+
+    public Rack(String id) {
+        this.id = id;
+        this.brokers = new TreeSet<>();
+    }
+
+    public String id() {
+        return id;
+    }
+
+    public SortedSet<Broker> brokers() {
+        return Collections.unmodifiableSortedSet(this.brokers);
+    }
+
+    public Load load() {
+        Load load = new Load();
+        for (Broker broker : this.brokers) {
+            load.addLoad(broker.load());
+        }
+        return load;
+    }
+
+    public List<Replica> replicas() {
+        List<Replica> replicas = new ArrayList<>();
+        for (Broker broker : this.brokers) {
+            replicas.addAll(broker.replicas());
+        }
+        return replicas;
+    }
+
+    Broker addBroker(Broker broker) {
+        this.brokers.add(broker);
+        return broker;
+    }
+
+    @Override
+    public boolean equals(Object o) {
+        if (this == o) return true;
+        if (o == null || getClass() != o.getClass()) return false;
+        Rack rack = (Rack) o;
+        return Objects.equals(id, rack.id);
+    }
+
+    @Override
+    public int hashCode() {
+        return Objects.hash(id);
+    }
+
+    @Override
+    public String toString() {
+        return "Rack{" +
+                "id='" + id + '\'' +
+                ", brokers=" + brokers +
+                '}';
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/model/Replica.java

@@ -0,0 +1,129 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.model;
+
+import org.apache.kafka.common.TopicPartition;
+
+import java.util.Objects;
+
+/**
+ * @author leewei
+ * @date 2022/4/29
+ */
+public class Replica {
+    private final Load load;
+    private final Replica original;
+    private final TopicPartition topicPartition;
+    private Broker broker;
+    private boolean isLeader;
+    private boolean isOffline;
+
+    public Replica(Broker broker, TopicPartition topicPartition, boolean isLeader, boolean isOffline) {
+        this(broker, topicPartition, isLeader, isOffline, false);
+    }
+
+    private Replica(Broker broker, TopicPartition topicPartition, boolean isLeader, boolean isOffline, boolean isOriginal) {
+        if (isOriginal) {
+            this.original = null;
+        } else {
+            this.original = new Replica(broker, topicPartition, isLeader, isOffline, true);
+        }
+        this.load = new Load();
+        this.topicPartition = topicPartition;
+        this.broker = broker;
+        this.isLeader = isLeader;
+        this.isOffline = isOffline;
+    }
+
+    public TopicPartition topicPartition() {
+        return topicPartition;
+    }
+
+    public Replica original() {
+        return original;
+    }
+
+    public Broker broker() {
+        return broker;
+    }
+
+    public void setBroker(Broker broker) {
+        checkOriginal();
+        this.broker = broker;
+    }
+
+    public boolean isLeader() {
+        return isLeader;
+    }
+
+    public Load load() {
+        return load;
+    }
+
+    void setLoad(Load load) {
+        checkOriginal();
+        this.load.addLoad(load);
+    }
+
+    Load makeFollower() {
+        checkOriginal();
+        this.isLeader = false;
+        // TODO cpu recal
+        Load leaderLoadDelta = new Load();
+        leaderLoadDelta.setLoad(Resource.NW_OUT, this.load.loadFor(Resource.NW_OUT));
+        this.load.subtractLoad(leaderLoadDelta);
+        return leaderLoadDelta;
+    }
+
+    void makeLeader(Load leaderLoadDelta) {
+        checkOriginal();
+        this.isLeader = true;
+        this.load.addLoad(leaderLoadDelta);
+    }
+
+    public boolean isLeaderChanged() {
+        checkOriginal();
+        return this.original.isLeader != this.isLeader;
+    }
+
+    public boolean isChanged() {
+        checkOriginal();
+        return this.original.broker != this.broker || this.original.isLeader != this.isLeader;
+    }
+
+    private void checkOriginal() {
+        if (this.original == null) {
+            throw new IllegalStateException("This is a original replica, this operation is not supported.");
+        }
+    }
+
+    @Override
+    public boolean equals(Object o) {
+        checkOriginal();
+        if (this == o) return true;
+        if (o == null || getClass() != o.getClass()) return false;
+        Replica replica = (Replica) o;
+        return topicPartition.equals(replica.topicPartition) && this.original.broker.equals(replica.original.broker);
+    }
+
+    @Override
+    public int hashCode() {
+        checkOriginal();
+        return Objects.hash(topicPartition, this.original.broker);
+    }
+
+    @Override
+    public String toString() {
+        checkOriginal();
+        return "Replica{" +
+                "topicPartition=" + topicPartition +
+                ", originalBroker=" + this.original.broker.id() +
+                ", broker=" + broker.id() +
+                ", originalIsLeader=" + this.original.isLeader +
+                ", isLeader=" + isLeader +
+                ", load=" + load +
+                '}';
+    }
+    //todo:副本状态，待考虑
+    public boolean isCurrentOffline() {
+        return isOffline;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/model/ReplicaPlacementInfo.java

@@ -0,0 +1,48 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.model;
+
+import java.util.Objects;
+
+public class ReplicaPlacementInfo {
+    private final int _brokerId;
+    private final String _logdir;
+
+    public ReplicaPlacementInfo(int brokerId, String logdir) {
+        _brokerId = brokerId;
+        _logdir = logdir;
+    }
+
+    public ReplicaPlacementInfo(Integer brokerId) {
+        this(brokerId, null);
+    }
+
+    public Integer brokerId() {
+        return _brokerId;
+    }
+
+    public String logdir() {
+        return _logdir;
+    }
+
+    @Override
+    public boolean equals(Object o) {
+        if (!(o instanceof ReplicaPlacementInfo)) {
+            return false;
+        }
+        ReplicaPlacementInfo info = (ReplicaPlacementInfo) o;
+        return _brokerId == info._brokerId && Objects.equals(_logdir, info._logdir);
+    }
+
+    @Override
+    public int hashCode() {
+        return Objects.hash(_brokerId, _logdir);
+    }
+
+    @Override
+    public String toString() {
+        if (_logdir == null) {
+            return String.format("{Broker: %d}", _brokerId);
+        } else {
+            return String.format("{Broker: %d, Logdir: %s}", _brokerId, _logdir);
+        }
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/model/Resource.java

@@ -0,0 +1,29 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.model;
+
+/**
+ * @author leewei
+ * @date 2022/5/10
+ */
+public enum Resource {
+    CPU("cpu", 0),
+    NW_IN("bytesIn", 1),
+    NW_OUT("bytesOut", 2),
+    DISK("disk", 3);
+
+    private final String resource;
+    private final int id;
+
+    Resource(String resource, int id) {
+        this.resource = resource;
+        this.id = id;
+    }
+
+    public String resource() {
+        return this.resource;
+    }
+
+    public int id() {
+        return this.id;
+    }
+
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/model/Supplier.java

@@ -0,0 +1,112 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.model;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.metric.MetricStore;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.metric.Metrics;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.metric.elasticsearch.ElasticsearchMetricStore;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.utils.MetadataUtils;
+import org.apache.kafka.clients.producer.ProducerConfig;
+import org.apache.kafka.common.Cluster;
+import org.apache.kafka.common.Node;
+import org.apache.kafka.common.PartitionInfo;
+import org.apache.kafka.common.TopicPartition;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+/**
+ * @author leewei
+ * @date 2022/5/12
+ */
+public class Supplier {
+    public static Map<String, String> subConfig(Map<String, String> config, String prefix, boolean stripPrefix) {
+        return config.entrySet().stream()
+                .filter(e -> e.getKey().startsWith(prefix))
+                .collect(Collectors.toMap(e -> stripPrefix ? e.getKey().substring(prefix.length()) : e.getKey(),
+                        Map.Entry::getValue));
+    }
+
+    public static ClusterModel load(String clusterName, int beforeSeconds, String kafkaBootstrapServer, String esUrls, String esPassword, String esIndexPrefix, Map<Integer, Capacity> capacitiesById, Set<String> ignoredTopics) {
+        Properties kafkaProperties = new Properties();
+        kafkaProperties.setProperty(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, kafkaBootstrapServer);
+        return load(clusterName, beforeSeconds, kafkaProperties, esUrls, esPassword, esIndexPrefix, capacitiesById, ignoredTopics);
+    }
+
+    public static ClusterModel load(String clusterName, int beforeSeconds, Properties kafkaProperties, String esUrls, String esPassword, String esIndexPrefix, Map<Integer, Capacity> capacitiesById, Set<String> ignoredTopics) {
+        MetricStore store = new ElasticsearchMetricStore(esUrls, esPassword, esIndexPrefix);
+        Metrics metrics = store.getMetrics(clusterName, beforeSeconds);
+        return load(kafkaProperties, capacitiesById, metrics, ignoredTopics);
+    }
+
+    public static ClusterModel load(Properties kafkaProperties, Map<Integer, Capacity> capacitiesById, Metrics metrics, Set<String> ignoredTopics) {
+        ClusterModel model = new ClusterModel();
+        Cluster cluster = MetadataUtils.metadata(kafkaProperties);
+
+        // nodes
+        for (Node node: cluster.nodes()) {
+            addBroker(node, false, model, capacitiesById);
+        }
+
+        // replicas
+        cluster.topics()
+                .stream()
+                .filter(topic -> !ignoredTopics.contains(topic))
+                .forEach(topic -> {
+            List<PartitionInfo> partitions = cluster.partitionsForTopic(topic);
+            for (PartitionInfo partition : partitions) {
+                // TODO fix ignore no partition leader
+                if (partition.leader() == null) {
+                    continue;
+                }
+
+                TopicPartition topicPartition = new TopicPartition(partition.topic(), partition.partition());
+                Load leaderLoad = metrics.load(topicPartition);
+                if (leaderLoad == null) {
+                    if (partition.leader() == null) {
+                        // set empty load
+                        leaderLoad = new Load();
+                    } else {
+                        throw new IllegalArgumentException("Cannot get leader load of topic partiton: " + topicPartition);
+                    }
+                }
+
+                // leader nw out + follower nw out
+                leaderLoad.setLoad(Resource.NW_OUT,
+                        leaderLoad.loadFor(Resource.NW_OUT) +
+                                leaderLoad.loadFor(Resource.NW_IN) * (partition.replicas().length - 1));
+
+                Load followerLoad = new Load();
+                followerLoad.addLoad(leaderLoad);
+                followerLoad.setLoad(Resource.NW_OUT, 0);
+                List<Node> offlineReplicas = Arrays.asList(partition.offlineReplicas());
+                for (Node n : partition.replicas()) {
+                    boolean isLeader = partition.leader() != null && partition.leader().equals(n);
+                    boolean isOffline = offlineReplicas.contains(n);
+                    if (isOffline) {
+                        if (model.broker(n.id()) == null) {
+                            // add offline broker
+                            addBroker(n, true, model, capacitiesById);
+                        }
+                    }
+                    model.addReplica(n.id(), topicPartition, isLeader, isOffline, isLeader ? leaderLoad : followerLoad);
+                }
+            }
+        });
+        return model;
+    }
+
+    private static String rack(Node node) {
+        return (node.rack() == null || "".equals(node.rack())) ? node.host() : node.rack();
+    }
+
+    private static void addBroker(Node node, boolean isOffline, ClusterModel model, Map<Integer, Capacity> capacitiesById) {
+        // rack
+        Rack rack = model.addRack(rack(node));
+        // broker
+        Capacity capacity = capacitiesById.get(node.id());
+        if (capacity == null)
+            throw new IllegalArgumentException("Cannot get capacity of node: " + node);
+
+        model.addBroker(rack.id(), node.id(), node.host(), isOffline, capacity);
+    }
+
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/ActionAcceptance.java

@@ -0,0 +1,5 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer;
+
+public enum ActionAcceptance {
+    ACCEPT, REJECT;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/ActionType.java

@@ -0,0 +1,18 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer;
+
+public enum ActionType {
+    REPLICA_MOVEMENT("REPLICA"),
+    LEADERSHIP_MOVEMENT("LEADER");
+//    REPLICA_SWAP("SWAP");
+
+    private final String _balancingAction;
+
+    ActionType(String balancingAction) {
+        _balancingAction = balancingAction;
+    }
+
+    @Override
+    public String toString() {
+        return _balancingAction;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/AnalyzerUtils.java

@@ -0,0 +1,73 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.ClusterModel;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Replica;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.ReplicaPlacementInfo;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Resource;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.goals.Goal;
+import org.apache.commons.lang3.StringUtils;
+import org.apache.kafka.common.TopicPartition;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+import static com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionAcceptance.ACCEPT;
+
+public class AnalyzerUtils {
+
+    public static Set<String> getSplitTopics(String value) {
+        if (StringUtils.isBlank(value)) {
+            return new HashSet<>();
+        }
+        String[] arr = value.split(",");
+        return Arrays.stream(arr).collect(Collectors.toSet());
+    }
+
+    public static Set<Integer> getSplitBrokers(String value) {
+        if (StringUtils.isBlank(value)) {
+            return new HashSet<>();
+        }
+        String[] arr = value.split(",");
+        return Arrays.stream(arr).map(Integer::valueOf).collect(Collectors.toSet());
+    }
+
+    public static Set<ExecutionProposal> getDiff(Map<TopicPartition, List<ReplicaPlacementInfo>> initialReplicaDistribution,
+                                                 Map<TopicPartition, ReplicaPlacementInfo> initialLeaderDistribution,
+                                                 ClusterModel optimizedClusterModel) {
+        Map<TopicPartition, List<ReplicaPlacementInfo>> finalReplicaDistribution = optimizedClusterModel.getReplicaDistribution();
+        if (!initialReplicaDistribution.keySet().equals(finalReplicaDistribution.keySet())) {
+            throw new IllegalArgumentException("diff distributions with different partitions.");
+        }
+        Set<ExecutionProposal> diff = new HashSet<>();
+        for (Map.Entry<TopicPartition, List<ReplicaPlacementInfo>> entry : initialReplicaDistribution.entrySet()) {
+            TopicPartition tp = entry.getKey();
+            List<ReplicaPlacementInfo> initialReplicas = entry.getValue();
+            List<ReplicaPlacementInfo> finalReplicas = finalReplicaDistribution.get(tp);
+            Replica finalLeader = optimizedClusterModel.partition(tp);
+            ReplicaPlacementInfo finalLeaderPlacementInfo = new ReplicaPlacementInfo(finalLeader.broker().id(), "");
+            if (finalReplicas.equals(initialReplicas) && initialLeaderDistribution.get(tp).equals(finalLeaderPlacementInfo)) {
+                continue;
+            }
+            if (!finalLeaderPlacementInfo.equals(finalReplicas.get(0))) {
+                int leaderPos = finalReplicas.indexOf(finalLeaderPlacementInfo);
+                finalReplicas.set(leaderPos, finalReplicas.get(0));
+                finalReplicas.set(0, finalLeaderPlacementInfo);
+            }
+            double partitionSize = optimizedClusterModel.partition(tp).load().loadFor(Resource.DISK);
+            diff.add(new ExecutionProposal(tp, partitionSize, initialLeaderDistribution.get(tp), initialReplicas, finalReplicas));
+        }
+        return diff;
+    }
+
+    public static ActionAcceptance isProposalAcceptableForOptimizedGoals(Set<Goal> optimizedGoals,
+                                                                         BalancingAction proposal,
+                                                                         ClusterModel clusterModel) {
+        for (Goal optimizedGoal : optimizedGoals) {
+            ActionAcceptance actionAcceptance = optimizedGoal.actionAcceptance(proposal, clusterModel);
+            if (actionAcceptance != ACCEPT) {
+                return actionAcceptance;
+            }
+        }
+        return ACCEPT;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/BalancingAction.java

@@ -0,0 +1,40 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer;
+
+import org.apache.kafka.common.TopicPartition;
+
+public class BalancingAction {
+    private final TopicPartition _tp;
+    private final Integer _sourceBrokerId;
+    private final Integer _destinationBrokerId;
+    private final ActionType _actionType;
+
+    public BalancingAction(TopicPartition tp,
+                           Integer sourceBrokerId,
+                           Integer destinationBrokerId,
+                           ActionType actionType) {
+        _tp = tp;
+        _sourceBrokerId = sourceBrokerId;
+        _destinationBrokerId = destinationBrokerId;
+        _actionType = actionType;
+    }
+
+    public Integer sourceBrokerId() {
+        return _sourceBrokerId;
+    }
+
+    public Integer destinationBrokerId() {
+        return _destinationBrokerId;
+    }
+
+    public ActionType balancingAction() {
+        return _actionType;
+    }
+
+    public TopicPartition topicPartition() {
+        return _tp;
+    }
+
+    public String topic() {
+        return _tp.topic();
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/ExecutionProposal.java

@@ -0,0 +1,72 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.ReplicaPlacementInfo;
+import org.apache.kafka.common.TopicPartition;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+public class ExecutionProposal {
+
+    private final TopicPartition _tp;
+    private final double _partitionSize;
+    private final ReplicaPlacementInfo _oldLeader;
+    private final List<ReplicaPlacementInfo> _oldReplicas;
+    private final List<ReplicaPlacementInfo> _newReplicas;
+    private final Set<ReplicaPlacementInfo> _replicasToAdd;
+    private final Set<ReplicaPlacementInfo> _replicasToRemove;
+
+    public ExecutionProposal(TopicPartition tp,
+                             double partitionSize,
+                             ReplicaPlacementInfo oldLeader,
+                             List<ReplicaPlacementInfo> oldReplicas,
+                             List<ReplicaPlacementInfo> newReplicas) {
+        _tp = tp;
+        _partitionSize = partitionSize;
+        _oldLeader = oldLeader;
+        _oldReplicas = oldReplicas == null ? Collections.emptyList() : oldReplicas;
+        _newReplicas = newReplicas;
+        Set<Integer> newBrokerList = _newReplicas.stream().mapToInt(ReplicaPlacementInfo::brokerId).boxed().collect(Collectors.toSet());
+        Set<Integer> oldBrokerList = _oldReplicas.stream().mapToInt(ReplicaPlacementInfo::brokerId).boxed().collect(Collectors.toSet());
+        _replicasToAdd = _newReplicas.stream().filter(r -> !oldBrokerList.contains(r.brokerId())).collect(Collectors.toSet());
+        _replicasToRemove = _oldReplicas.stream().filter(r -> !newBrokerList.contains(r.brokerId())).collect(Collectors.toSet());
+    }
+
+    public TopicPartition tp() {
+        return _tp;
+    }
+
+    public double partitionSize() {
+        return _partitionSize;
+    }
+
+    public ReplicaPlacementInfo oldLeader() {
+        return _oldLeader;
+    }
+
+    public List<ReplicaPlacementInfo> oldReplicas() {
+        return _oldReplicas;
+    }
+
+    public List<ReplicaPlacementInfo> newReplicas() {
+        return _newReplicas;
+    }
+
+    public Map<Integer, Double[]> replicasToAdd() {
+        Map<Integer, Double[]> addData = new HashMap<>();
+        _replicasToAdd.forEach(i -> {
+            Double[] total = {1d, _partitionSize};
+            addData.put(i.brokerId(), total);
+        });
+        return Collections.unmodifiableMap(addData);
+    }
+
+    public Map<Integer, Double[]> replicasToRemove() {
+        Map<Integer, Double[]> removeData = new HashMap<>();
+        _replicasToRemove.forEach(i -> {
+            Double[] total = {1d, _partitionSize};
+            removeData.put(i.brokerId(), total);
+        });
+        return Collections.unmodifiableMap(removeData);
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/GoalOptimizer.java

@@ -0,0 +1,48 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.OptimizerResult;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.ClusterModel;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.ReplicaPlacementInfo;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.goals.Goal;
+import org.apache.kafka.common.TopicPartition;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.*;
+
+/**
+ * @author leewei
+ * @date 2022/4/29
+ */
+public class GoalOptimizer {
+    private static final Logger logger = LoggerFactory.getLogger(GoalOptimizer.class);
+
+    public OptimizerResult optimizations(ClusterModel clusterModel, OptimizationOptions optimizationOptions) {
+        Set<Goal> optimizedGoals = new HashSet<>();
+        OptimizerResult optimizerResult = new OptimizerResult(clusterModel, optimizationOptions);
+        optimizerResult.setBalanceBrokersFormBefore(clusterModel.brokers());
+        Map<TopicPartition, List<ReplicaPlacementInfo>> initReplicaDistribution = clusterModel.getReplicaDistribution();
+        Map<TopicPartition, ReplicaPlacementInfo> initLeaderDistribution = clusterModel.getLeaderDistribution();
+        try {
+            Map<String, Goal> goalMap = new HashMap<>();
+            ServiceLoader<Goal> serviceLoader = ServiceLoader.load(Goal.class);
+            for (Goal goal : serviceLoader) {
+                goalMap.put(goal.name(), goal);
+            }
+            for (String g : optimizationOptions.goals()) {
+                Goal goal = goalMap.get(g);
+                if (goal != null) {
+                    logger.info("Start {} balancing", goal.name());
+                    goal.optimize(clusterModel, optimizedGoals, optimizationOptions);
+                    optimizedGoals.add(goal);
+                }
+            }
+        } catch (Exception e) {
+            logger.error("Cluster balancing goal error", e);
+        }
+        Set<ExecutionProposal> proposals = AnalyzerUtils.getDiff(initReplicaDistribution, initLeaderDistribution, clusterModel);
+        optimizerResult.setBalanceBrokersFormAfter(clusterModel.brokers());
+        optimizerResult.setExecutionProposal(proposals);
+        return optimizerResult;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/OptimizationOptions.java

@@ -0,0 +1,60 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.BalanceParameter;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Resource;
+
+import java.util.*;
+
+public class OptimizationOptions {
+    private final Set<String> _excludedTopics;
+    private final Set<Integer> _offlineBrokers;
+    private final Set<Integer> _balanceBrokers;
+    private final Map<Resource, Double> _resourceBalancePercentage;
+    private final List<String> _goals;
+    private final BalanceParameter _parameter;
+
+    public OptimizationOptions(BalanceParameter parameter) {
+        _parameter = parameter;
+        _goals = parameter.getGoals();
+        _excludedTopics = AnalyzerUtils.getSplitTopics(parameter.getExcludedTopics());
+        _offlineBrokers = AnalyzerUtils.getSplitBrokers(parameter.getOfflineBrokers());
+        _balanceBrokers = AnalyzerUtils.getSplitBrokers(parameter.getBalanceBrokers());
+        _resourceBalancePercentage = new HashMap<>();
+        _resourceBalancePercentage.put(Resource.CPU, parameter.getCpuThreshold());
+        _resourceBalancePercentage.put(Resource.DISK, parameter.getDiskThreshold());
+        _resourceBalancePercentage.put(Resource.NW_IN, parameter.getNetworkInThreshold());
+        _resourceBalancePercentage.put(Resource.NW_OUT, parameter.getNetworkOutThreshold());
+    }
+
+    public Set<String> excludedTopics() {
+        return Collections.unmodifiableSet(_excludedTopics);
+    }
+
+    public Set<Integer> offlineBrokers() {
+        return Collections.unmodifiableSet(_offlineBrokers);
+    }
+
+    public Set<Integer> balanceBrokers() {
+        return Collections.unmodifiableSet(_balanceBrokers);
+    }
+
+    public double resourceBalancePercentageFor(Resource resource) {
+        return _resourceBalancePercentage.get(resource);
+    }
+
+    public List<String> goals() {
+        return Collections.unmodifiableList(_goals);
+    }
+
+    public double topicReplicaThreshold() {
+        return _parameter.getTopicReplicaThreshold();
+    }
+
+    public BalanceParameter parameter() {
+        return _parameter;
+    }
+
+    public double topicLeaderThreshold() {
+        return _parameter.getTopicLeaderThreshold();
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/goals/AbstractGoal.java

@@ -0,0 +1,129 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.goals;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Broker;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.ClusterModel;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Replica;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.*;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+public abstract class AbstractGoal implements Goal {
+
+    /**
+     * 均衡算法逻辑处理
+     */
+    protected abstract void rebalanceForBroker(Broker broker, ClusterModel clusterModel, Set<Goal> optimizedGoals, OptimizationOptions optimizationOptions);
+
+    /**
+     * 集群列表中的所有Broker循环执行均衡算法
+     */
+    @Override
+    public void optimize(ClusterModel clusterModel, Set<Goal> optimizedGoals, OptimizationOptions optimizationOptions) {
+        initGoalState(clusterModel, optimizationOptions);
+        SortedSet<Broker> brokenBrokers = clusterModel.brokers().stream()
+                .filter(b -> optimizationOptions.balanceBrokers().isEmpty()
+                        || optimizationOptions.balanceBrokers().contains(b.id()))
+                .collect(Collectors.toCollection(TreeSet::new));
+
+        // SortedSet<Broker> brokenBrokers = clusterModel.brokers();
+
+        for (Broker broker : brokenBrokers) {
+            rebalanceForBroker(broker, clusterModel, optimizedGoals, optimizationOptions);
+        }
+    }
+
+    protected abstract void initGoalState(ClusterModel clusterModel, OptimizationOptions optimizationOptions);
+
+    /**
+     * 根据已经计算完的均衡副本、候选目标Broker、执行类型来
+     * 执行不同的集群模型数据更改操作
+     */
+    protected Broker maybeApplyBalancingAction(ClusterModel clusterModel,
+                                               Replica replica,
+                                               Collection<Broker> candidateBrokers,
+                                               ActionType action,
+                                               Set<Goal> optimizedGoals,
+                                               OptimizationOptions optimizationOptions) {
+        List<Broker> eligibleBrokers = eligibleBrokers(replica, candidateBrokers, action, optimizationOptions);
+        for (Broker broker : eligibleBrokers) {
+            BalancingAction proposal = new BalancingAction(replica.topicPartition(), replica.broker().id(), broker.id(), action);
+            //均衡的副本如果存在当前的Broker上则进行下次Broker
+            if (!legitMove(replica, broker, action)) {
+                continue;
+            }
+            //均衡条件已经满足进行下次Broker
+            if (!selfSatisfied(clusterModel, proposal)) {
+                continue;
+            }
+            //判断当前均衡操作是否与其他目标冲突,如果冲突则禁止均衡操作
+            ActionAcceptance acceptance = AnalyzerUtils.isProposalAcceptableForOptimizedGoals(optimizedGoals, proposal, clusterModel);
+            if (acceptance == ActionAcceptance.ACCEPT) {
+                if (action == ActionType.LEADERSHIP_MOVEMENT) {
+                    clusterModel.relocateLeadership(name(), action.toString(), replica.topicPartition(), replica.broker().id(), broker.id());
+                } else if (action == ActionType.REPLICA_MOVEMENT) {
+                    clusterModel.relocateReplica(name(), action.toString(), replica.topicPartition(), replica.broker().id(), broker.id());
+                }
+                return broker;
+            }
+        }
+        return null;
+    }
+
+    /**
+     * 副本操作合法性判断:
+     * 1.副本迁移，目的broker不包含移动副本
+     * 2.Leader切换，目的broker需要包含切换副本
+     */
+    private static boolean legitMove(Replica replica,
+                                     Broker destinationBroker, ActionType actionType) {
+        switch (actionType) {
+            case REPLICA_MOVEMENT:
+                return destinationBroker.replica(replica.topicPartition()) == null;
+            case LEADERSHIP_MOVEMENT:
+                return replica.isLeader() && destinationBroker.replica(replica.topicPartition()) != null;
+            default:
+                return false;
+        }
+    }
+
+    protected abstract boolean selfSatisfied(ClusterModel clusterModel, BalancingAction action);
+
+    /**
+     * 候选Broker列表筛选过滤
+     */
+    public static List<Broker> eligibleBrokers(Replica replica,
+                                               Collection<Broker> candidates,
+                                               ActionType action,
+                                               OptimizationOptions optimizationOptions) {
+        List<Broker> eligibleBrokers = new ArrayList<>(candidates);
+        filterOutBrokersExcludedForLeadership(eligibleBrokers, optimizationOptions, replica, action);
+        filterOutBrokersExcludedForReplicaMove(eligibleBrokers, optimizationOptions, action);
+        return eligibleBrokers;
+    }
+
+    /**
+     * Leader切换，从候选的Broker列表中排除掉excludedBroker
+     */
+    public static void filterOutBrokersExcludedForLeadership(List<Broker> eligibleBrokers,
+                                                             OptimizationOptions optimizationOptions,
+                                                             Replica replica,
+                                                             ActionType action) {
+        Set<Integer> excludedBrokers = optimizationOptions.offlineBrokers();
+        if (!excludedBrokers.isEmpty() && (action == ActionType.LEADERSHIP_MOVEMENT || replica.isLeader())) {
+            eligibleBrokers.removeIf(broker -> excludedBrokers.contains(broker.id()));
+        }
+    }
+
+    /**
+     * 副本迁移，从候选的Broker列表中排除掉excludedBroker
+     */
+    public static void filterOutBrokersExcludedForReplicaMove(List<Broker> eligibleBrokers,
+                                                              OptimizationOptions optimizationOptions,
+                                                              ActionType action) {
+        Set<Integer> excludedBrokers = optimizationOptions.offlineBrokers();
+        if (!excludedBrokers.isEmpty() && action == ActionType.REPLICA_MOVEMENT) {
+            eligibleBrokers.removeIf(broker -> excludedBrokers.contains(broker.id()));
+        }
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/goals/DiskDistributionGoal.java

@@ -0,0 +1,31 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.goals;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.ClusterModel;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Resource;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionAcceptance;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionType;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.BalancingAction;
+
+/**
+ * @author leewei
+ * @date 2022/5/24
+ */
+public class DiskDistributionGoal extends ResourceDistributionGoal {
+
+    @Override
+    protected Resource resource() {
+        return Resource.DISK;
+    }
+
+    @Override
+    public String name() {
+        return DiskDistributionGoal.class.getSimpleName();
+    }
+
+    @Override
+    public ActionAcceptance actionAcceptance(BalancingAction action, ClusterModel clusterModel) {
+        // Leadership movement won't cause disk utilization change.
+        return action.balancingAction() == ActionType.LEADERSHIP_MOVEMENT ? ActionAcceptance.ACCEPT : super.actionAcceptance(action, clusterModel);
+    }
+
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/goals/Goal.java

@@ -0,0 +1,17 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.goals;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.ClusterModel;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionAcceptance;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.BalancingAction;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.OptimizationOptions;
+
+import java.util.Set;
+
+public interface Goal {
+
+    void optimize(ClusterModel clusterModel, Set<Goal> optimizedGoals, OptimizationOptions optimizationOptions);
+
+    String name();
+
+    ActionAcceptance actionAcceptance(BalancingAction action, ClusterModel clusterModel);
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/goals/NetworkInboundDistributionGoal.java

@@ -0,0 +1,30 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.goals;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.ClusterModel;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Resource;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionAcceptance;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionType;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.BalancingAction;
+
+/**
+ * @author leewei
+ * @date 2022/5/20
+ */
+public class NetworkInboundDistributionGoal extends ResourceDistributionGoal {
+
+    @Override
+    protected Resource resource() {
+        return Resource.NW_IN;
+    }
+
+    @Override
+    public String name() {
+        return NetworkInboundDistributionGoal.class.getSimpleName();
+    }
+
+    @Override
+    public ActionAcceptance actionAcceptance(BalancingAction action, ClusterModel clusterModel) {
+        // Leadership movement won't cause inbound network utilization change.
+        return action.balancingAction() == ActionType.LEADERSHIP_MOVEMENT ? ActionAcceptance.ACCEPT : super.actionAcceptance(action, clusterModel);
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/goals/NetworkOutboundDistributionGoal.java

@@ -0,0 +1,22 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.goals;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Resource;
+
+/**
+ * @author leewei
+ * @date 2022/5/24
+ */
+public class NetworkOutboundDistributionGoal extends ResourceDistributionGoal {
+
+    @Override
+    protected Resource resource() {
+        return Resource.NW_OUT;
+    }
+
+    @Override
+    public String name() {
+        return NetworkOutboundDistributionGoal.class.getSimpleName();
+    }
+
+}
+

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/goals/ResourceDistributionGoal.java

@@ -0,0 +1,227 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.goals;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.*;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionAcceptance;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionType;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.BalancingAction;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.OptimizationOptions;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.Collections;
+import java.util.Iterator;
+import java.util.Set;
+import java.util.SortedSet;
+
+/**
+ * @author leewei
+ * @date 2022/5/20
+ */
+public abstract class ResourceDistributionGoal extends AbstractGoal {
+    private static final Logger logger = LoggerFactory.getLogger(ResourceDistributionGoal.class);
+    private double balanceUpperThreshold;
+    private double balanceLowerThreshold;
+
+    @Override
+    protected void initGoalState(ClusterModel clusterModel, OptimizationOptions optimizationOptions) {
+        double avgUtilization = clusterModel.utilizationFor(resource());
+        double balancePercentage = optimizationOptions.resourceBalancePercentageFor(resource());
+        this.balanceUpperThreshold = avgUtilization * (1 + balancePercentage);
+        this.balanceLowerThreshold = avgUtilization * (1 - balancePercentage);
+    }
+
+    @Override
+    protected void rebalanceForBroker(Broker broker,
+                                      ClusterModel clusterModel,
+                                      Set<Goal> optimizedGoals,
+                                      OptimizationOptions optimizationOptions) {
+        double utilization = broker.utilizationFor(resource());
+
+        boolean requireLessLoad = utilization > this.balanceUpperThreshold;
+        boolean requireMoreLoad = utilization < this.balanceLowerThreshold;
+        if (!requireMoreLoad && !requireLessLoad) {
+            return;
+        }
+
+        // First try leadership movement
+        if (resource() == Resource.NW_OUT || resource() == Resource.CPU) {
+            if (requireLessLoad && rebalanceByMovingLoadOut(broker, clusterModel, optimizedGoals,
+                    ActionType.LEADERSHIP_MOVEMENT, optimizationOptions)) {
+                logger.debug("Successfully balanced {} for broker {} by moving out leaders.", resource(), broker.id());
+                requireLessLoad = false;
+            }
+            if (requireMoreLoad && rebalanceByMovingLoadIn(broker, clusterModel, optimizedGoals,
+                    ActionType.LEADERSHIP_MOVEMENT, optimizationOptions)) {
+                logger.debug("Successfully balanced {} for broker {} by moving in leaders.", resource(), broker.id());
+                requireMoreLoad = false;
+            }
+        }
+
+        boolean balanced = true;
+        if (requireLessLoad) {
+            if (!rebalanceByMovingLoadOut(broker, clusterModel, optimizedGoals,
+                    ActionType.REPLICA_MOVEMENT, optimizationOptions)) {
+                balanced = rebalanceBySwappingLoadOut(broker, clusterModel, optimizedGoals, optimizationOptions);
+            }
+        } else if (requireMoreLoad) {
+            if (!rebalanceByMovingLoadIn(broker, clusterModel, optimizedGoals,
+                    ActionType.REPLICA_MOVEMENT, optimizationOptions)) {
+                balanced = rebalanceBySwappingLoadIn(broker, clusterModel, optimizedGoals, optimizationOptions);
+            }
+        }
+        if (balanced) {
+            logger.debug("Successfully balanced {} for broker {} by moving leaders and replicas.", resource(), broker.id());
+        }
+    }
+
+    private boolean rebalanceByMovingLoadOut(Broker broker,
+                                             ClusterModel clusterModel,
+                                             Set<Goal> optimizedGoals,
+                                             ActionType actionType,
+                                             OptimizationOptions optimizationOptions) {
+
+        SortedSet<Broker> candidateBrokers = sortedCandidateBrokersUnderThreshold(clusterModel, this.balanceUpperThreshold, optimizationOptions, broker, false);
+        SortedSet<Replica> replicasToMove = sortedCandidateReplicas(broker, actionType, optimizationOptions, true);
+
+        for (Replica replica : replicasToMove) {
+            Broker acceptedBroker = maybeApplyBalancingAction(clusterModel, replica, candidateBrokers, actionType, optimizedGoals, optimizationOptions);
+
+            if (acceptedBroker != null) {
+                if (broker.utilizationFor(resource()) < this.balanceUpperThreshold) {
+                    return true;
+                }
+                // Remove and reinsert the broker so the order is correct.
+                // candidateBrokers.remove(acceptedBroker);
+                candidateBrokers.removeIf(b -> b.id() == acceptedBroker.id());
+                if (acceptedBroker.utilizationFor(resource()) < this.balanceUpperThreshold) {
+                    candidateBrokers.add(acceptedBroker);
+                }
+            }
+        }
+
+        return false;
+    }
+
+    private boolean rebalanceByMovingLoadIn(Broker broker,
+                                            ClusterModel clusterModel,
+                                            Set<Goal> optimizedGoals,
+                                            ActionType actionType,
+                                            OptimizationOptions optimizationOptions) {
+        SortedSet<Broker> candidateBrokers = sortedCandidateBrokersOverThreshold(clusterModel, this.balanceLowerThreshold, optimizationOptions, broker, true);
+        Iterator<Broker> candidateBrokersIt = candidateBrokers.iterator();
+        Broker nextCandidateBroker = null;
+        while (true) {
+            Broker candidateBroker;
+            if (nextCandidateBroker != null) {
+                candidateBroker = nextCandidateBroker;
+                nextCandidateBroker = null;
+            } else if (candidateBrokersIt.hasNext()) {
+                candidateBroker = candidateBrokersIt.next();
+            } else {
+                break;
+            }
+            SortedSet<Replica> replicasToMove = sortedCandidateReplicas(candidateBroker, actionType, optimizationOptions, true);
+
+            for (Replica replica : replicasToMove) {
+                Broker acceptedBroker = maybeApplyBalancingAction(clusterModel, replica, Collections.singletonList(broker), actionType, optimizedGoals, optimizationOptions);
+                if (acceptedBroker != null) {
+                    if (broker.utilizationFor(resource()) > this.balanceLowerThreshold) {
+                        return true;
+                    }
+                    if (candidateBrokersIt.hasNext() || nextCandidateBroker != null) {
+                        if (nextCandidateBroker == null) {
+                            nextCandidateBroker = candidateBrokersIt.next();
+                        }
+                        if (candidateBroker.utilizationFor(resource()) < nextCandidateBroker.utilizationFor(resource())) {
+                            break;
+                        }
+                    }
+                }
+            }
+        }
+
+        return false;
+    }
+
+    private boolean rebalanceBySwappingLoadOut(Broker broker,
+                                             ClusterModel clusterModel,
+                                             Set<Goal> optimizedGoals,
+                                             OptimizationOptions optimizationOptions) {
+        return false;
+    }
+
+    private boolean rebalanceBySwappingLoadIn(Broker broker,
+                                               ClusterModel clusterModel,
+                                               Set<Goal> optimizedGoals,
+                                               OptimizationOptions optimizationOptions) {
+        return false;
+    }
+
+    private SortedSet<Broker> sortedCandidateBrokersUnderThreshold(ClusterModel clusterModel,
+                                                     double utilizationThreshold,
+                                                     OptimizationOptions optimizationOptions,
+                                                     Broker excludedBroker,
+                                                     boolean reverse) {
+        return clusterModel.sortedBrokersFor(
+                b -> b.utilizationFor(resource()) < utilizationThreshold
+                        && !excludedBroker.equals(b)
+                        // filter brokers
+                        && (optimizationOptions.balanceBrokers().isEmpty() || optimizationOptions.balanceBrokers().contains(b.id()))
+                , resource(), reverse);
+    }
+
+    private SortedSet<Broker> sortedCandidateBrokersOverThreshold(ClusterModel clusterModel,
+                                                                   double utilizationThreshold,
+                                                                   OptimizationOptions optimizationOptions,
+                                                                   Broker excludedBroker,
+                                                                   boolean reverse) {
+        return clusterModel.sortedBrokersFor(
+                b -> b.utilizationFor(resource()) > utilizationThreshold
+                        && !excludedBroker.equals(b)
+                        // filter brokers
+                        && (optimizationOptions.balanceBrokers().isEmpty() || optimizationOptions.balanceBrokers().contains(b.id()))
+                , resource(), reverse);
+    }
+
+    private SortedSet<Replica> sortedCandidateReplicas(Broker broker,
+                                                       ActionType actionType,
+                                                       OptimizationOptions optimizationOptions,
+                                                       boolean reverse) {
+        return broker.sortedReplicasFor(
+                // exclude topic
+                r -> !optimizationOptions.excludedTopics().contains(r.topicPartition().topic())
+                        && r.load().loadFor(resource()) > 0.0
+                        // LEADERSHIP_MOVEMENT or NW_OUT is require leader replica
+                        && (actionType != ActionType.LEADERSHIP_MOVEMENT && resource() != Resource.NW_OUT || r.isLeader())
+                , resource(), reverse);
+    }
+
+    protected abstract Resource resource();
+
+    @Override
+    protected boolean selfSatisfied(ClusterModel clusterModel, BalancingAction action) {
+        Broker destinationBroker = clusterModel.broker(action.destinationBrokerId());
+        Broker sourceBroker = clusterModel.broker(action.sourceBrokerId());
+        Replica sourceReplica = sourceBroker.replica(action.topicPartition());
+
+        Load loadToChange;
+        if (action.balancingAction() == ActionType.LEADERSHIP_MOVEMENT) {
+            Replica destinationReplica = destinationBroker.replica(action.topicPartition());
+            Load delta = new Load();
+            delta.addLoad(sourceReplica.load());
+            delta.subtractLoad(destinationReplica.load());
+            loadToChange = delta;
+        } else {
+            loadToChange = sourceReplica.load();
+        }
+        double sourceUtilization = sourceBroker.expectedUtilizationAfterRemove(resource(), loadToChange);
+        double destinationUtilization = destinationBroker.expectedUtilizationAfterAdd(resource(), loadToChange);
+
+        return sourceUtilization >= this.balanceLowerThreshold && destinationUtilization <= this.balanceUpperThreshold;
+    }
+
+    @Override
+    public ActionAcceptance actionAcceptance(BalancingAction action, ClusterModel clusterModel) {
+        return this.selfSatisfied(clusterModel, action) ? ActionAcceptance.ACCEPT : ActionAcceptance.REJECT;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/goals/TopicLeadersDistributionGoal.java

@@ -0,0 +1,222 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.goals;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Broker;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.ClusterModel;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Replica;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionAcceptance;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.BalancingAction;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.OptimizationOptions;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.utils.GoalUtils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+import static com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionAcceptance.ACCEPT;
+import static com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionAcceptance.REJECT;
+import static com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionType.REPLICA_MOVEMENT;
+import static com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionType.LEADERSHIP_MOVEMENT;
+
+public class TopicLeadersDistributionGoal extends AbstractGoal {
+    private static final Logger logger = LoggerFactory.getLogger(TopicLeadersDistributionGoal.class);
+    private Map<String, Integer> _mustHaveTopicMinLeadersPerBroker;
+
+    /**
+     * 执行Topic Leader均衡
+     */
+    @Override
+    protected void rebalanceForBroker(Broker broker, ClusterModel clusterModel, Set<Goal> optimizedGoals, OptimizationOptions optimizationOptions) {
+        moveAwayOfflineReplicas(broker, clusterModel, optimizedGoals, optimizationOptions);
+        if (_mustHaveTopicMinLeadersPerBroker.isEmpty()) {
+            return;
+        }
+        if (optimizationOptions.offlineBrokers().contains(broker.id())) {
+            return;
+        }
+
+        for (String topicName : _mustHaveTopicMinLeadersPerBroker.keySet()) {
+            maybeMoveLeaderOfTopicToBroker(topicName, broker, clusterModel, optimizedGoals, optimizationOptions);
+        }
+    }
+
+    /**
+     * 初始化均衡条件:
+     * 1.排除不需要的Broker、Topic
+     * 2.计算每个Topic在集群中所有Broker的平均分布数量
+     */
+    @Override
+    protected void initGoalState(ClusterModel clusterModel, OptimizationOptions optimizationOptions) {
+        _mustHaveTopicMinLeadersPerBroker = new HashMap<>();
+        Set<String> excludedTopics = optimizationOptions.excludedTopics();
+        Set<Integer> excludedBrokers = optimizationOptions.offlineBrokers();
+        Set<String> mustHaveTopicLeadersPerBroker = GoalUtils.getNotExcludeTopics(clusterModel, excludedTopics);
+        Map<String, Integer> numLeadersByTopicNames = clusterModel.numLeadersPerTopic(mustHaveTopicLeadersPerBroker);
+        Set<Broker> allBrokers = GoalUtils.getNotExcludeBrokers(clusterModel, excludedBrokers);
+        for (String topicName : mustHaveTopicLeadersPerBroker) {
+            int topicNumLeaders = numLeadersByTopicNames.get(topicName);
+            int avgLeaders = allBrokers.size() == 0 ? 0 : (int) Math.ceil(topicNumLeaders / (double) allBrokers.size() * (1 + optimizationOptions.topicLeaderThreshold()));
+            _mustHaveTopicMinLeadersPerBroker.put(topicName, avgLeaders);
+        }
+    }
+
+    /**
+     * 已满足均衡条件判断:
+     * 1.待操作Broker的副本已下线
+     * 2.待操作Broker上Topic Leader数量大于Topic平均分布数量
+     */
+    @Override
+    protected boolean selfSatisfied(ClusterModel clusterModel, BalancingAction action) {
+        Broker sourceBroker = clusterModel.broker(action.sourceBrokerId());
+        Replica replicaToBeMoved = sourceBroker.replica(action.topicPartition());
+        if (replicaToBeMoved.broker().replica(action.topicPartition()).isCurrentOffline()) {
+            return action.balancingAction() == REPLICA_MOVEMENT;
+        }
+        String topicName = replicaToBeMoved.topicPartition().topic();
+        return sourceBroker.numLeadersFor(topicName) > minTopicLeadersPerBroker(topicName);
+    }
+
+    /**
+     * 获取Topic在每台Broker上的最小Leader数
+     */
+    private int minTopicLeadersPerBroker(String topicName) {
+        return _mustHaveTopicMinLeadersPerBroker.get(topicName);
+    }
+
+    @Override
+    public String name() {
+        return TopicLeadersDistributionGoal.class.getSimpleName();
+    }
+
+    /**
+     * 判断Topic Leader均衡动作是否可以执行
+     */
+    @Override
+    public ActionAcceptance actionAcceptance(BalancingAction action, ClusterModel clusterModel) {
+        if (_mustHaveTopicMinLeadersPerBroker.containsKey(action.topic())) {
+            return ACCEPT;
+        }
+        switch (action.balancingAction()) {
+            case LEADERSHIP_MOVEMENT:
+            case REPLICA_MOVEMENT:
+                Replica replicaToBeRemoved = clusterModel.broker(action.sourceBrokerId()).replica(action.topicPartition());
+                return doesLeaderRemoveViolateOptimizedGoal(replicaToBeRemoved) ? REJECT : ACCEPT;
+            default:
+                throw new IllegalArgumentException("Unsupported balancing action " + action.balancingAction() + " is provided.");
+        }
+    }
+
+    /**
+     * 根据指定的副本判断是否可以执行均衡动作
+     */
+    private boolean doesLeaderRemoveViolateOptimizedGoal(Replica replicaToBeRemoved) {
+        if (!replicaToBeRemoved.isLeader()) {
+            return false;
+        }
+        String topic = replicaToBeRemoved.topicPartition().topic();
+        if (!_mustHaveTopicMinLeadersPerBroker.containsKey(topic)) {
+            return false;
+        }
+        int topicLeaderCountOnSourceBroker = replicaToBeRemoved.broker().numLeadersFor(topic);
+        return topicLeaderCountOnSourceBroker <= minTopicLeadersPerBroker(topic);
+    }
+
+    /**
+     * 执行具体的均衡逻辑:
+     * 先通过Leader切换如果还不满足条件则进行副本迁移
+     */
+    private void maybeMoveLeaderOfTopicToBroker(String topicName,
+                                                Broker broker,
+                                                ClusterModel clusterModel,
+                                                Set<Goal> optimizedGoals,
+                                                OptimizationOptions optimizationOptions) {
+        int topicLeaderCount = broker.numLeadersFor(topicName);
+        //判断Topic在当前Broker上的Leader数量是否超过最小Leader分布
+        if (topicLeaderCount >= minTopicLeadersPerBroker(topicName)) {
+            return;
+        }
+        //获取Topic在当前Broker上的所有follower副本
+        List<Replica> followerReplicas = broker.replicas().stream().filter(i -> !i.isLeader() && i.topicPartition().topic().equals(topicName)).collect(Collectors.toList());
+        for (Replica followerReplica : followerReplicas) {
+            //根据follower副本信息从集群中获取对应的Leader副本
+            Replica leader = clusterModel.partition(followerReplica.topicPartition());
+            //如果Leader副本所在Broker的Topic Leader数量超过最小Leader分布则进行Leader切换
+            if (leader.broker().numLeadersFor(topicName) > minTopicLeadersPerBroker(topicName)) {
+                if (maybeApplyBalancingAction(clusterModel, leader, Collections.singleton(broker),
+                        LEADERSHIP_MOVEMENT, optimizedGoals, optimizationOptions) != null) {
+                    topicLeaderCount++;
+                    //Topic在当前Broker的Leader分布大于等于最小Leader分布则结束均衡
+                    if (topicLeaderCount >= minTopicLeadersPerBroker(topicName)) {
+                        return;
+                    }
+                }
+            }
+        }
+        //根据Topic获取需要Leader数量大于最小Leader分布待迁移的Broker列表
+        PriorityQueue<Broker> brokersWithExcessiveLeaderToMove = getBrokersWithExcessiveLeaderToMove(topicName, clusterModel);
+        while (!brokersWithExcessiveLeaderToMove.isEmpty()) {
+            Broker brokerWithExcessiveLeaderToMove = brokersWithExcessiveLeaderToMove.poll();
+            List<Replica> leadersOfTopic = brokerWithExcessiveLeaderToMove.leaderReplicas().stream()
+                    .filter(i -> i.topicPartition().topic().equals(topicName)).collect(Collectors.toList());
+            boolean leaderMoved = false;
+            int leaderMoveCount = leadersOfTopic.size();
+            for (Replica leaderOfTopic : leadersOfTopic) {
+                Broker destinationBroker = maybeApplyBalancingAction(clusterModel, leaderOfTopic, Collections.singleton(broker),
+                        REPLICA_MOVEMENT, optimizedGoals, optimizationOptions);
+                if (destinationBroker != null) {
+                    leaderMoved = true;
+                    break;
+                }
+            }
+            if (leaderMoved) {
+                //当前Topic Leader数量在满足最小Leader分布后则结束均衡
+                topicLeaderCount++;
+                if (topicLeaderCount >= minTopicLeadersPerBroker(topicName)) {
+                    return;
+                }
+                //分布过多的Broker在进行副本迁移后Topic Leader依然大于最小Leader分布则继续迁移
+                leaderMoveCount--;
+                if (leaderMoveCount > minTopicLeadersPerBroker(topicName)) {
+                    brokersWithExcessiveLeaderToMove.add(brokerWithExcessiveLeaderToMove);
+                }
+            }
+        }
+    }
+
+    /**
+     * 根据指定的TopicName,筛选出集群内超过该TopicName Leader平均分布数量的所有Broker并且降序排列
+     */
+    private PriorityQueue<Broker> getBrokersWithExcessiveLeaderToMove(String topicName, ClusterModel clusterModel) {
+        PriorityQueue<Broker> brokersWithExcessiveLeaderToMove = new PriorityQueue<>((broker1, broker2) -> {
+            int broker1LeaderCount = broker1.numLeadersFor(topicName);
+            int broker2LeaderCount = broker2.numLeadersFor(topicName);
+            int leaderCountCompareResult = Integer.compare(broker2LeaderCount, broker1LeaderCount);
+            return leaderCountCompareResult == 0 ? Integer.compare(broker1.id(), broker2.id()) : leaderCountCompareResult;
+        });
+        clusterModel.brokers().stream().filter(broker -> broker.numLeadersFor(topicName) > minTopicLeadersPerBroker(topicName))
+                .forEach(brokersWithExcessiveLeaderToMove::add);
+        return brokersWithExcessiveLeaderToMove;
+    }
+
+    /**
+     * 下线副本优先处理迁移
+     */
+    private void moveAwayOfflineReplicas(Broker srcBroker,
+                                         ClusterModel clusterModel,
+                                         Set<Goal> optimizedGoals,
+                                         OptimizationOptions optimizationOptions) {
+        if (srcBroker.currentOfflineReplicas().isEmpty()) {
+            return;
+        }
+        SortedSet<Broker> eligibleBrokersToMoveOfflineReplicasTo = new TreeSet<>(
+                Comparator.comparingInt((Broker broker) -> broker.replicas().size()).thenComparingInt(Broker::id));
+        Set<Replica> offlineReplicas = new HashSet<>(srcBroker.currentOfflineReplicas());
+        for (Replica offlineReplica : offlineReplicas) {
+            if (maybeApplyBalancingAction(clusterModel, offlineReplica, eligibleBrokersToMoveOfflineReplicasTo,
+                    REPLICA_MOVEMENT, optimizedGoals, optimizationOptions) == null) {
+                logger.error(String.format("[%s] offline replica %s from broker %d (has %d replicas) move error", name(),
+                        offlineReplica, srcBroker.id(), srcBroker.replicas().size()));
+            }
+        }
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/optimizer/goals/TopicReplicaDistributionGoal.java

@@ -0,0 +1,287 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.goals;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Broker;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.ClusterModel;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Replica;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionAcceptance;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.ActionType;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.BalancingAction;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.OptimizationOptions;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.utils.GoalUtils;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+public class TopicReplicaDistributionGoal extends AbstractGoal {
+    private final Map<String, Integer> _balanceUpperLimitByTopic;
+    private final Map<String, Integer> _balanceLowerLimitByTopic;
+    private Set<Broker> _brokersAllowedReplicaMove;
+    private final Map<String, Double> _avgTopicReplicasOnBroker;
+
+    public TopicReplicaDistributionGoal() {
+        _balanceUpperLimitByTopic = new HashMap<>();
+        _balanceLowerLimitByTopic = new HashMap<>();
+        _avgTopicReplicasOnBroker = new HashMap<>();
+    }
+
+    @Override
+    protected void rebalanceForBroker(Broker broker, ClusterModel clusterModel, Set<Goal> optimizedGoals, OptimizationOptions optimizationOptions) {
+        for (String topic : broker.topics()) {
+            if (isTopicExcludedFromRebalance(topic)) {
+                continue;
+            }
+            Collection<Replica> replicas = broker.replicasOfTopicInBroker(topic);
+            int numTopicReplicas = replicas.size();
+            boolean isExcludedForReplicaMove = isExcludedForReplicaMove(broker);
+            int numOfflineTopicReplicas = GoalUtils.retainCurrentOfflineBrokerReplicas(broker, replicas).size();
+            boolean requireLessReplicas = numOfflineTopicReplicas > 0 || numTopicReplicas > _balanceUpperLimitByTopic.get(topic) && !isExcludedForReplicaMove;
+            boolean requireMoreReplicas = !isExcludedForReplicaMove && numTopicReplicas - numOfflineTopicReplicas < _balanceLowerLimitByTopic.get(topic);
+
+            if (requireLessReplicas) {
+                rebalanceByMovingReplicasOut(broker, topic, clusterModel, optimizedGoals, optimizationOptions);
+            }
+            if (requireMoreReplicas) {
+                rebalanceByMovingReplicasIn(broker, topic, clusterModel, optimizedGoals, optimizationOptions);
+            }
+        }
+    }
+
+    /**
+     * 初始化均衡条件:
+     * 1.Topic平均分布副本数量
+     * 2.Topic在平均副本的基础上向上浮动数量
+     * 3.Topic在平均副本的基础上向下浮动数量
+     */
+    @Override
+    protected void initGoalState(ClusterModel clusterModel, OptimizationOptions optimizationOptions) {
+        Set<String> excludedTopics = optimizationOptions.excludedTopics();
+        Set<Integer> excludedBrokers = optimizationOptions.offlineBrokers();
+        Set<String> topicsAllowedRebalance = GoalUtils.getNotExcludeTopics(clusterModel, excludedTopics);
+        _brokersAllowedReplicaMove = GoalUtils.getNotExcludeBrokers(clusterModel, excludedBrokers);
+        if (_brokersAllowedReplicaMove.isEmpty()) {
+            return;
+        }
+        for (String topic : topicsAllowedRebalance) {
+            int numTopicReplicas = clusterModel.numTopicReplicas(topic);
+            _avgTopicReplicasOnBroker.put(topic, numTopicReplicas / (double) _brokersAllowedReplicaMove.size());
+            _balanceUpperLimitByTopic.put(topic, balanceUpperLimit(topic, optimizationOptions));
+            _balanceLowerLimitByTopic.put(topic, balanceLowerLimit(topic, optimizationOptions));
+        }
+    }
+
+    /**
+     * 指定Topic平均副本向下浮动,默认10%
+     */
+    private Integer balanceLowerLimit(String topic, OptimizationOptions optimizationOptions) {
+        return (int) Math.floor(_avgTopicReplicasOnBroker.get(topic)
+                * Math.max(0, (1 - optimizationOptions.topicReplicaThreshold())));
+    }
+
+    /**
+     * 指定Topic平均副本向上浮动,默认10%
+     */
+    private Integer balanceUpperLimit(String topic, OptimizationOptions optimizationOptions) {
+        return (int) Math.ceil(_avgTopicReplicasOnBroker.get(topic)
+                * (1 + optimizationOptions.topicReplicaThreshold()));
+    }
+
+    @Override
+    protected boolean selfSatisfied(ClusterModel clusterModel, BalancingAction action) {
+        Broker sourceBroker = clusterModel.broker(action.sourceBrokerId());
+        if (sourceBroker.replica(action.topicPartition()).isCurrentOffline()) {
+            return action.balancingAction() == ActionType.REPLICA_MOVEMENT;
+        }
+        Broker destinationBroker = clusterModel.broker(action.destinationBrokerId());
+        String sourceTopic = action.topic();
+        return isReplicaCountAddUpperLimit(sourceTopic, destinationBroker)
+                && (isExcludedForReplicaMove(sourceBroker) || isReplicaCountRemoveLowerLimit(sourceTopic, sourceBroker));
+
+    }
+
+    @Override
+    public String name() {
+        return TopicReplicaDistributionGoal.class.getSimpleName();
+    }
+
+    @Override
+    public ActionAcceptance actionAcceptance(BalancingAction action, ClusterModel clusterModel) {
+        Broker sourceBroker = clusterModel.broker(action.sourceBrokerId());
+        Broker destinationBroker = clusterModel.broker(action.destinationBrokerId());
+        String sourceTopic = action.topic();
+        switch (action.balancingAction()) {
+            case LEADERSHIP_MOVEMENT:
+                return ActionAcceptance.ACCEPT;
+            case REPLICA_MOVEMENT:
+                return (isReplicaCountAddUpperLimit(sourceTopic, destinationBroker)
+                        && (isExcludedForReplicaMove(sourceBroker)
+                        || isReplicaCountRemoveLowerLimit(sourceTopic, sourceBroker))) ? ActionAcceptance.ACCEPT : ActionAcceptance.REJECT;
+            default:
+                throw new IllegalArgumentException("Unsupported balancing action " + action.balancingAction() + " is provided.");
+        }
+    }
+
+    /**
+     * 指定的Broker上存在Topic副本数大于阈值则迁出副本
+     */
+    private boolean rebalanceByMovingReplicasOut(Broker broker,
+                                                 String topic,
+                                                 ClusterModel clusterModel,
+                                                 Set<Goal> optimizedGoals,
+                                                 OptimizationOptions optimizationOptions) {
+        //筛选出现低于UpperLimit的所有Broker做为存放目标
+        SortedSet<Broker> candidateBrokers = new TreeSet<>(
+                Comparator.comparingInt((Broker b) -> b.numReplicasOfTopicInBroker(topic)).thenComparingInt(Broker::id));
+        Set<Broker> filterUpperLimitBroker = clusterModel.brokers().stream().filter(b -> b.numReplicasOfTopicInBroker(topic) < _balanceUpperLimitByTopic.get(topic)).collect(Collectors.toSet());
+        candidateBrokers.addAll(filterUpperLimitBroker);
+        Collection<Replica> replicasOfTopicInBroker = broker.replicasOfTopicInBroker(topic);
+        int numReplicasOfTopicInBroker = replicasOfTopicInBroker.size();
+        int numOfflineTopicReplicas = GoalUtils.retainCurrentOfflineBrokerReplicas(broker, replicasOfTopicInBroker).size();
+        int balanceUpperLimitForSourceBroker = isExcludedForReplicaMove(broker) ? 0 : _balanceUpperLimitByTopic.get(topic);
+        boolean wasUnableToMoveOfflineReplica = false;
+
+        for (Replica replica : replicasToMoveOut(broker, topic)) {
+            //当前Broker没有离线副本及Topic的副本数量低于UpperLimit则结束均衡
+            if (wasUnableToMoveOfflineReplica && !replica.isCurrentOffline() && numReplicasOfTopicInBroker <= balanceUpperLimitForSourceBroker) {
+                return false;
+            }
+            boolean wasOffline = replica.isCurrentOffline();
+            Broker b = maybeApplyBalancingAction(clusterModel, replica, candidateBrokers, ActionType.REPLICA_MOVEMENT,
+                    optimizedGoals, optimizationOptions);
+            // Only check if we successfully moved something.
+            if (b != null) {
+                if (wasOffline) {
+                    numOfflineTopicReplicas--;
+                }
+                if (--numReplicasOfTopicInBroker <= (numOfflineTopicReplicas == 0 ? balanceUpperLimitForSourceBroker : 0)) {
+                    return false;
+                }
+
+                // Remove and reinsert the broker so the order is correct.
+                candidateBrokers.remove(b);
+                if (b.numReplicasOfTopicInBroker(topic) < _balanceUpperLimitByTopic.get(topic)) {
+                    candidateBrokers.add(b);
+                }
+            } else if (wasOffline) {
+                wasUnableToMoveOfflineReplica = true;
+            }
+        }
+        return !broker.replicasOfTopicInBroker(topic).isEmpty();
+    }
+
+    /**
+     * 1.离线副本优行处理
+     * 2.小分区号优行处理
+     */
+    private SortedSet<Replica> replicasToMoveOut(Broker broker, String topic) {
+        SortedSet<Replica> replicasToMoveOut = new TreeSet<>((r1, r2) -> {
+            boolean r1Offline = broker.currentOfflineReplicas().contains(r1);
+            boolean r2Offline = broker.currentOfflineReplicas().contains(r2);
+            if (r1Offline && !r2Offline) {
+                return -1;
+            } else if (!r1Offline && r2Offline) {
+                return 1;
+            }
+            if (r1.topicPartition().partition() > r2.topicPartition().partition()) {
+                return 1;
+            } else if (r1.topicPartition().partition() < r2.topicPartition().partition()) {
+                return -1;
+            }
+            return 0;
+        });
+        replicasToMoveOut.addAll(broker.replicasOfTopicInBroker(topic));
+        return replicasToMoveOut;
+    }
+
+    /**
+     * Topic副本数>最低阈值的副本，迁到指定的Broker上
+     */
+    private boolean rebalanceByMovingReplicasIn(Broker broker,
+                                                String topic,
+                                                ClusterModel clusterModel,
+                                                Set<Goal> optimizedGoals,
+                                                OptimizationOptions optimizationOptions) {
+        PriorityQueue<Broker> eligibleBrokers = new PriorityQueue<>((b1, b2) -> {
+            Collection<Replica> replicasOfTopicInB2 = b2.replicasOfTopicInBroker(topic);
+            int numReplicasOfTopicInB2 = replicasOfTopicInB2.size();
+            int numOfflineTopicReplicasInB2 = GoalUtils.retainCurrentOfflineBrokerReplicas(b2, replicasOfTopicInB2).size();
+            Collection<Replica> replicasOfTopicInB1 = b1.replicasOfTopicInBroker(topic);
+            int numReplicasOfTopicInB1 = replicasOfTopicInB1.size();
+            int numOfflineTopicReplicasInB1 = GoalUtils.retainCurrentOfflineBrokerReplicas(b1, replicasOfTopicInB1).size();
+
+            int resultByOfflineReplicas = Integer.compare(numOfflineTopicReplicasInB2, numOfflineTopicReplicasInB1);
+            if (resultByOfflineReplicas == 0) {
+                int resultByAllReplicas = Integer.compare(numReplicasOfTopicInB2, numReplicasOfTopicInB1);
+                return resultByAllReplicas == 0 ? Integer.compare(b1.id(), b2.id()) : resultByAllReplicas;
+            }
+            return resultByOfflineReplicas;
+        });
+        //筛选当前Topic高于LowerLimit、存在离线副本、的所有Broker做为需要迁的副本
+        for (Broker sourceBroker : clusterModel.brokers()) {
+            if (sourceBroker.numReplicasOfTopicInBroker(topic) > _balanceLowerLimitByTopic.get(topic)
+                    || !sourceBroker.currentOfflineReplicas().isEmpty() || isExcludedForReplicaMove(sourceBroker)) {
+                eligibleBrokers.add(sourceBroker);
+            }
+        }
+        Collection<Replica> replicasOfTopicInBroker = broker.replicasOfTopicInBroker(topic);
+        int numReplicasOfTopicInBroker = replicasOfTopicInBroker.size();
+        //当前Broker做为存放目标
+        Set<Broker> candidateBrokers = Collections.singleton(broker);
+        while (!eligibleBrokers.isEmpty()) {
+            Broker sourceBroker = eligibleBrokers.poll();
+            SortedSet<Replica> replicasToMove = replicasToMoveOut(sourceBroker, topic);
+            int numOfflineTopicReplicas = GoalUtils.retainCurrentOfflineBrokerReplicas(sourceBroker, replicasToMove).size();
+
+            for (Replica replica : replicasToMove) {
+                boolean wasOffline = replica.isCurrentOffline();
+                Broker b = maybeApplyBalancingAction(clusterModel, replica, candidateBrokers, ActionType.REPLICA_MOVEMENT,
+                        optimizedGoals, optimizationOptions);
+                if (b != null) {
+                    if (wasOffline) {
+                        numOfflineTopicReplicas--;
+                    }
+                    if (++numReplicasOfTopicInBroker >= _balanceLowerLimitByTopic.get(topic)) {
+                        return false;
+                    }
+                    if (!eligibleBrokers.isEmpty() && numOfflineTopicReplicas == 0
+                            && sourceBroker.numReplicasOfTopicInBroker(topic) < eligibleBrokers.peek().numReplicasOfTopicInBroker(topic)) {
+                        eligibleBrokers.add(sourceBroker);
+                        break;
+                    }
+                }
+            }
+        }
+        return true;
+    }
+
+    /**
+     * 目标Broker增加副本后，Topic副本数<=最高阈值
+     */
+    private boolean isReplicaCountAddUpperLimit(String topic, Broker destinationBroker) {
+        int numTopicReplicas = destinationBroker.numReplicasOfTopicInBroker(topic);
+        int brokerBalanceUpperLimit = _balanceUpperLimitByTopic.get(topic);
+        return numTopicReplicas + 1 <= brokerBalanceUpperLimit;
+    }
+
+    /**
+     * 源Broker迁走副本后，Topic副本数>=最低阈值
+     */
+    private boolean isReplicaCountRemoveLowerLimit(String topic, Broker sourceBroker) {
+        int numTopicReplicas = sourceBroker.numReplicasOfTopicInBroker(topic);
+        int brokerBalanceLowerLimit = _balanceLowerLimitByTopic.get(topic);
+        return numTopicReplicas - 1 >= brokerBalanceLowerLimit;
+    }
+
+    /**
+     * 判断指定的Broker是否可以进行副本迁移操作
+     */
+    private boolean isExcludedForReplicaMove(Broker broker) {
+        return !_brokersAllowedReplicaMove.contains(broker);
+    }
+
+    /**
+     * 判断指定的Topic是否在可均衡的列表中
+     */
+    private boolean isTopicExcludedFromRebalance(String topic) {
+        return _avgTopicReplicasOnBroker.get(topic) == null;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/package-info.java

@@ -0,0 +1,7 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm;
+
+/**
+ *
+ * Re-Balance算法部分代码
+ *
+ * */

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/utils/CommandLineUtils.java

@@ -0,0 +1,21 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.utils;
+
+import joptsimple.OptionParser;
+
+import java.io.IOException;
+
+public class CommandLineUtils {
+
+    /**
+     * Print usage and exit
+     */
+    public static void printUsageAndDie(OptionParser parser, String message) {
+        try {
+            System.err.println(message);
+            parser.printHelpOn(System.err);
+            System.exit(1);
+        } catch (IOException e) {
+            e.printStackTrace();
+        }
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/utils/GoalUtils.java

@@ -0,0 +1,67 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.utils;
+
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.BalanceGoal;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.BalanceParameter;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.BalanceThreshold;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.HostEnv;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.*;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.optimizer.AnalyzerUtils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+public class GoalUtils {
+    private static final Logger logger = LoggerFactory.getLogger(GoalUtils.class);
+
+    public static Set<String> getNotExcludeTopics(ClusterModel clusterModel, Set<String> excludedTopics) {
+        return clusterModel.topics().stream().filter(topicName -> !excludedTopics.contains(topicName)).collect(Collectors.toSet());
+    }
+
+    public static Set<Broker> getNotExcludeBrokers(ClusterModel clusterModel, Set<Integer> excludedBrokers) {
+        return clusterModel.brokers().stream().filter(broker -> !excludedBrokers.contains(broker.id())).collect(Collectors.toSet());
+    }
+
+    /**
+     * 在Broker上获取指定的离线副本列表
+     */
+    public static Set<Replica> retainCurrentOfflineBrokerReplicas(Broker broker, Collection<Replica> replicas) {
+        Set<Replica> offlineReplicas = new HashSet<>(replicas);
+        offlineReplicas.retainAll(broker.currentOfflineReplicas());
+        return offlineReplicas;
+    }
+
+    public static ClusterModel getInitClusterModel(BalanceParameter parameter) {
+        logger.info("Cluster model initialization");
+        List<HostEnv> hostsEnv = parameter.getHardwareEnv();
+        Map<Integer, Capacity> capacities = new HashMap<>();
+        for (HostEnv env : hostsEnv) {
+            Capacity capacity = new Capacity();
+            capacity.setCapacity(Resource.CPU, env.getCpu());
+            capacity.setCapacity(Resource.DISK, env.getDisk());
+            capacity.setCapacity(Resource.NW_IN, env.getNetwork());
+            capacity.setCapacity(Resource.NW_OUT, env.getNetwork());
+            capacities.put(env.getId(), capacity);
+        }
+        return Supplier.load(
+                parameter.getCluster(),
+                parameter.getBeforeSeconds(),
+                parameter.getKafkaConfig(),
+                parameter.getEsRestURL(),
+                parameter.getEsPassword(),
+                parameter.getEsIndexPrefix(),
+                capacities,
+                AnalyzerUtils.getSplitTopics(parameter.getIgnoredTopics())
+        );
+    }
+
+    public static Map<String, BalanceThreshold> getBalanceThreshold(BalanceParameter parameter, double[] clusterAvgResource) {
+        Map<String, BalanceThreshold> balanceThreshold = new HashMap<>();
+        balanceThreshold.put(BalanceGoal.DISK.goal(), new BalanceThreshold(Resource.DISK, parameter.getDiskThreshold(), clusterAvgResource[Resource.DISK.id()]));
+        balanceThreshold.put(BalanceGoal.NW_IN.goal(), new BalanceThreshold(Resource.NW_IN, parameter.getNetworkInThreshold(), clusterAvgResource[Resource.NW_IN.id()]));
+        balanceThreshold.put(BalanceGoal.NW_OUT.goal(), new BalanceThreshold(Resource.NW_OUT, parameter.getNetworkOutThreshold(), clusterAvgResource[Resource.NW_OUT.id()]));
+        return balanceThreshold;
+    }
+
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/algorithm/utils/MetadataUtils.java

@@ -0,0 +1,92 @@
+package com.xiaojukeji.know.streaming.km.rebalance.algorithm.utils;
+
+import org.apache.kafka.clients.*;
+import org.apache.kafka.clients.consumer.internals.NoAvailableBrokersException;
+import org.apache.kafka.clients.producer.ProducerConfig;
+import org.apache.kafka.common.Cluster;
+import org.apache.kafka.common.Node;
+import org.apache.kafka.common.network.ChannelBuilder;
+import org.apache.kafka.common.network.NetworkReceive;
+import org.apache.kafka.common.network.Selector;
+import org.apache.kafka.common.requests.MetadataRequest;
+import org.apache.kafka.common.requests.MetadataResponse;
+import org.apache.kafka.common.utils.LogContext;
+import org.apache.kafka.common.utils.Time;
+import org.apache.kafka.common.utils.Utils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.io.IOException;
+import java.util.Collections;
+import java.util.List;
+import java.util.Properties;
+
+/**
+ * @author leewei
+ * @date 2022/5/27
+ */
+public class MetadataUtils {
+    private static final Logger logger = LoggerFactory.getLogger(MetadataUtils.class);
+
+    public static Cluster metadata(Properties props) {
+        props.setProperty(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.BytesSerializer");
+        props.setProperty(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.BytesSerializer");
+        ProducerConfig config = new ProducerConfig(props);
+
+        Time time = Time.SYSTEM;
+        LogContext logContext = new LogContext("Metadata client");
+
+        ChannelBuilder channelBuilder = ClientUtils.createChannelBuilder(config, time, logContext);
+        Selector selector = new Selector(
+                NetworkReceive.UNLIMITED,
+                config.getLong(ProducerConfig.CONNECTIONS_MAX_IDLE_MS_CONFIG),
+                new org.apache.kafka.common.metrics.Metrics(),
+                time,
+                "metadata-client",
+                Collections.singletonMap("client", "metadata-client"),
+                false,
+                channelBuilder,
+                logContext
+        );
+
+        NetworkClient networkClient = new NetworkClient(
+                selector,
+                new ManualMetadataUpdater(),
+                "metadata-client",
+                1,
+                config.getLong(ProducerConfig.RECONNECT_BACKOFF_MS_CONFIG),
+                config.getLong(ProducerConfig.RECONNECT_BACKOFF_MAX_MS_CONFIG),
+                config.getInt(ProducerConfig.SEND_BUFFER_CONFIG),
+                config.getInt(ProducerConfig.RECEIVE_BUFFER_CONFIG),
+                config.getInt(ProducerConfig.REQUEST_TIMEOUT_MS_CONFIG),
+                config.getLong(ProducerConfig.SOCKET_CONNECTION_SETUP_TIMEOUT_MS_CONFIG),
+                config.getLong(ProducerConfig.SOCKET_CONNECTION_SETUP_TIMEOUT_MAX_MS_CONFIG),
+                ClientDnsLookup.DEFAULT,
+                time,
+                true,
+                new ApiVersions(),
+                logContext
+        );
+
+        try {
+            List<String> nodes = config.getList(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG);
+            for (int i = 0; i < nodes.size(); i++) {
+                Node sourceNode = new Node(i, Utils.getHost(nodes.get(i)), Utils.getPort(nodes.get(i)));
+                try {
+                    if (NetworkClientUtils.awaitReady(networkClient, sourceNode, time, 10 * 1000)) {
+                        ClientRequest clientRequest = networkClient.newClientRequest(String.valueOf(i), MetadataRequest.Builder.allTopics(),
+                                time.milliseconds(), true);
+                        ClientResponse clientResponse = NetworkClientUtils.sendAndReceive(networkClient, clientRequest, time);
+                        MetadataResponse metadataResponse = (MetadataResponse) clientResponse.responseBody();
+                        return metadataResponse.buildCluster();
+                    }
+                } catch (IOException e) {
+                    logger.warn("Connection to " + sourceNode + " error", e);
+                }
+            }
+            throw new NoAvailableBrokersException();
+        } finally {
+            networkClient.close();
+        }
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/BalanceMetricConstant.java

@@ -0,0 +1,35 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common;
+
+public class BalanceMetricConstant {
+    public static final String CLUSTER_METRIC_LOAD_RE_BALANCE_ENABLE                = "LoadReBalanceEnable";
+
+    public static final String CLUSTER_METRIC_LOAD_RE_BALANCE_CPU                   = "LoadReBalanceCpu";
+
+    public static final String CLUSTER_METRIC_LOAD_RE_BALANCE_NW_IN                 = "LoadReBalanceNwIn";
+
+    public static final String CLUSTER_METRIC_LOAD_RE_BALANCE_NW_OUT                = "LoadReBalanceNwOut";
+
+    public static final String CLUSTER_METRIC_LOAD_RE_BALANCE_DISK                  = "LoadReBalanceDisk";
+
+    // 集群维度-均衡相关
+//        itemList.add( buildAllVersionsItem()
+//                .name(CLUSTER_METRIC_LOAD_RE_BALANCE_ENABLE).unit("是/否").desc("是否开启均衡, 1：是；0：否").category(CATEGORY_CLUSTER)
+//                .extend( buildMethodExtend( CLUSTER_METHOD_GET_CLUSTER_LOAD_RE_BALANCE_INFO )));
+//
+//        itemList.add( buildAllVersionsItem()
+//                .name(CLUSTER_METRIC_LOAD_RE_BALANCE_CPU).unit("是/否").desc("CPU是否均衡, 1：是；0：否").category(CATEGORY_CLUSTER)
+//                .extend( buildMethodExtend( CLUSTER_METHOD_GET_CLUSTER_LOAD_RE_BALANCE_INFO )));
+//
+//        itemList.add( buildAllVersionsItem()
+//                .name(CLUSTER_METRIC_LOAD_RE_BALANCE_NW_IN).unit("是/否").desc("BytesIn是否均衡, 1：是；0：否").category(CATEGORY_CLUSTER)
+//                .extend( buildMethodExtend( CLUSTER_METHOD_GET_CLUSTER_LOAD_RE_BALANCE_INFO )));
+//
+//        itemList.add( buildAllVersionsItem()
+//                .name(CLUSTER_METRIC_LOAD_RE_BALANCE_NW_OUT).unit("是/否").desc("BytesOut是否均衡, 1：是；0：否").category(CATEGORY_CLUSTER)
+//                .extend( buildMethodExtend( CLUSTER_METHOD_GET_CLUSTER_LOAD_RE_BALANCE_INFO )));
+//
+//        itemList.add( buildAllVersionsItem()
+//                .name(CLUSTER_METRIC_LOAD_RE_BALANCE_DISK).unit("是/否").desc("Disk是否均衡, 1：是；0：否").category(CATEGORY_CLUSTER)
+//                .extend( buildMethodExtend( CLUSTER_METHOD_GET_CLUSTER_LOAD_RE_BALANCE_INFO )));
+
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/dto/ClusterBalanceIntervalDTO.java

@@ -0,0 +1,26 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.dto;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import javax.validation.constraints.NotBlank;
+import javax.validation.constraints.NotNull;
+
+
+@Data
+@EnterpriseLoadReBalance
+public class ClusterBalanceIntervalDTO {
+    @NotBlank(message = "clusterBalanceIntervalDTO.type不允许为空")
+    @ApiModelProperty("均衡维度:cpu,disk,bytesIn,bytesOut")
+    private String type;
+
+    @NotNull(message = "clusterBalanceIntervalDTO.intervalPercent不允许为空")
+    @ApiModelProperty("平衡区间百分比")
+    private Double intervalPercent;
+
+    @NotNull(message = "clusterBalanceIntervalDTO.priority不允许为空")
+    @ApiModelProperty("优先级")
+    private Integer priority;
+
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/dto/ClusterBalanceOverviewDTO.java

@@ -0,0 +1,20 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.dto;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import com.xiaojukeji.know.streaming.km.common.bean.dto.pagination.PaginationBaseDTO;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import java.util.Map;
+
+
+@Data
+@EnterpriseLoadReBalance
+public class ClusterBalanceOverviewDTO extends PaginationBaseDTO {
+
+    @ApiModelProperty("host")
+    private String host;
+
+    @ApiModelProperty("key:disk,bytesOut,bytesIn value:均衡状态 0：已均衡；2：未均衡")
+    private Map<String, Integer> stateParam;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/dto/ClusterBalancePreviewDTO.java

@@ -0,0 +1,43 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.dto;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import com.xiaojukeji.know.streaming.km.common.bean.dto.BaseDTO;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import java.util.List;
+
+
+/**
+ * @author zengqiao
+ * @date 22/02/24
+ */
+@Data
+@EnterpriseLoadReBalance
+public class ClusterBalancePreviewDTO extends BaseDTO {
+
+    @ApiModelProperty("集群id")
+    private Long clusterId;
+
+    @ApiModelProperty("均衡节点")
+    private List<Integer> brokers;
+
+    @ApiModelProperty("topic黑名单")
+    private List<String> topicBlackList;
+
+    @ApiModelProperty("均衡区间详情")
+    private List<ClusterBalanceIntervalDTO> clusterBalanceIntervalList;
+
+    @ApiModelProperty("指标计算周期，单位分钟")
+    private Integer metricCalculationPeriod;
+
+    @ApiModelProperty("任务并行数")
+    private Integer parallelNum;
+
+    @ApiModelProperty("执行策略， 1：优先最大副本，2：优先最小副本")
+    private Integer executionStrategy;
+
+    @ApiModelProperty("限流值")
+    private Long throttleUnitB;
+
+ }

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/dto/ClusterBalanceStrategyDTO.java

@@ -0,0 +1,66 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.dto;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import com.xiaojukeji.know.streaming.km.common.bean.dto.BaseDTO;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import javax.validation.constraints.Min;
+import javax.validation.constraints.NotBlank;
+import javax.validation.constraints.NotNull;
+import java.util.List;
+
+
+/**
+ * @author zengqiao
+ * @date 22/02/24
+ */
+@Data
+@EnterpriseLoadReBalance
+public class ClusterBalanceStrategyDTO extends BaseDTO {
+
+    @ApiModelProperty("是否是周期性任务")
+    private boolean scheduleJob;
+
+    @NotBlank(message = "scheduleCron不允许为空")
+    @ApiModelProperty("如果是周期任务，那么任务的周期cron表达式")
+    private String  scheduleCron;
+
+    @NotNull(message = "status不允许为空")
+    @ApiModelProperty("周期任务状态：0:不开启，1：开启")
+    private Integer status;
+
+    @NotNull(message = "clusterId不允许为空")
+    @ApiModelProperty("集群id")
+    private Long clusterId;
+
+    @ApiModelProperty("均衡节点")
+    private List<Integer> brokers;
+
+    @ApiModelProperty("topic黑名单")
+    private List<String> topicBlackList;
+
+    @NotNull(message = "clusterBalanceIntervalDTO不允许为空")
+    @ApiModelProperty("均衡区间详情")
+    private List<ClusterBalanceIntervalDTO> clusterBalanceIntervalList;
+
+    @NotNull(message = "metricCalculationPeriod不允许为空")
+    @ApiModelProperty("指标计算周期，单位秒")
+    private Integer metricCalculationPeriod;
+
+    @NotNull(message = "parallelNum不允许为空")
+    @ApiModelProperty("任务并行数（0代表不限）")
+    private Integer parallelNum;
+
+    @NotNull(message = "executionStrategy不允许为空")
+    @ApiModelProperty("执行策略， 1：优先最大副本，2：优先最小副本")
+    private Integer executionStrategy;
+
+    @Min(value = 1, message = "throttleUnitB不允许小于1")
+    @ApiModelProperty("限流值")
+    private Long throttleUnitB;
+
+    @ApiModelProperty("备注说明")
+    private String description;
+
+ }

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/entity/ClusterBalanceInterval.java

@@ -0,0 +1,27 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+@Data
+@NoArgsConstructor
+@AllArgsConstructor
+@EnterpriseLoadReBalance
+public class ClusterBalanceInterval {
+    /**
+     * 均衡维度:cpu,disk,bytesIn,bytesOut
+     */
+    private String type;
+
+    /**
+     * 平衡区间百分比
+     */
+    private Double intervalPercent;
+
+    /**
+     * 优先级
+     */
+    private Integer priority;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/entity/ClusterBalanceItemState.java

@@ -0,0 +1,41 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import com.xiaojukeji.know.streaming.km.common.constant.Constant;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Resource;
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.util.Map;
+
+@Data
+@NoArgsConstructor
+@AllArgsConstructor
+@EnterpriseLoadReBalance
+public class ClusterBalanceItemState {
+
+    /**
+     * 是否配置集群平衡:true:已配置，false:未配置
+     */
+    private Boolean configureBalance;
+
+    /**
+     * 是否开启均衡:true:开启，false: 未开启
+     */
+    private Boolean enable;
+
+    /**
+     * 子项是否均衡:key: disk,bytesIn,bytesOut,cpu ; value:true:已均衡，false:未均衡
+     * @see com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Resource
+     */
+    private Map<String, Boolean> itemState;
+
+    public Integer getResItemState(Resource res) {
+        if (itemState == null || !itemState.containsKey(res.resource())) {
+            return Constant.INVALID_CODE;
+        }
+
+        return itemState.get(res.resource()) ? Constant.YES: Constant.NO;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/entity/job/ClusterBalanceJobConfig.java

@@ -0,0 +1,91 @@
+/*
+ * Copyright (c) 2015, WINIT and/or its affiliates. All rights reserved. Use, Copy is subject to authorized license.
+ */
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.BaseEntity;
+import lombok.Data;
+
+/**
+ * 集群均衡任务 实体类
+ * 
+ * @author fengqiongfeng
+ * @date 2022-05-23
+ */
+@Data
+@EnterpriseLoadReBalance
+public class ClusterBalanceJobConfig extends BaseEntity {
+
+    /**
+     * 序列化版本号
+     */
+    private static final long serialVersionUID=1L;
+
+    /**
+     * 集群id
+     */
+    private Long clusterId;
+
+    /**
+     * 均衡节点
+     */
+    private String brokers;
+
+    /**
+     * topic黑名单
+     */
+    private String topicBlackList;
+
+    /**
+     * 1:立即均衡，2：周期均衡
+     */
+    private Integer type;
+
+    /**
+     * 任务周期
+     */
+    private String taskCron;
+
+    /**
+     * 均衡区间详情
+     */
+    private String balanceIntervalJson;
+
+    /**
+     * 指标计算周期，单位分钟
+     */
+    private Integer metricCalculationPeriod;
+
+    /**
+     * 迁移脚本
+     */
+    private String reassignmentJson;
+
+    /**
+     * 任务并行数
+     */
+    private Integer parallelNum;
+
+    /**
+     * 执行策略， 1：优先最大副本，2：优先最小副本
+     */
+    private Integer executionStrategy;
+
+    /**
+     * 限流值
+     */
+    private Long throttleUnitByte;
+
+    /**
+     * 操作人
+     */
+    private String creator;
+
+    /**
+     * 任务状态 0：未开启，1：开启
+     */
+    private Integer status;
+
+}
+

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/entity/job/ClusterBalanceReassign.java

@@ -0,0 +1,64 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import lombok.Data;
+
+import java.util.Date;
+
+/**
+ * @author zengqiao
+ * @date 22/05/06
+ */
+@Data
+@EnterpriseLoadReBalance
+public class ClusterBalanceReassign {
+    /**
+     * jobID
+     */
+    private Long jobId;
+
+    /**
+     * 集群id
+     */
+    private Long clusterId;
+
+    /**
+     * Topic名称
+     */
+    private String topicName;
+
+    /**
+     * 分区ID
+     */
+    private Integer partitionId;
+
+    /**
+     * 源BrokerId列表
+     */
+    private String originalBrokerIds;
+
+    /**
+     * 目标BrokerId列表
+     */
+    private String reassignBrokerIds;
+
+    /**
+     * 任务开始时间
+     */
+    private Date startTime;
+
+    /**
+     * 任务完成时间
+     */
+    private Date finishedTime;
+
+    /**
+     * 扩展数据
+     */
+    private String extendData;
+
+    /**
+     * 任务状态
+     */
+    private Integer status;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/entity/job/ClusterBalanceReassignDetail.java

@@ -0,0 +1,36 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.detail.ClusterBalanceDetailDataGroupByTopic;
+import lombok.Data;
+
+import java.util.Date;
+import java.util.List;
+
+/**
+ * @author zengqiao
+ * @date 22/05/06
+ */
+@Data
+@EnterpriseLoadReBalance
+public class ClusterBalanceReassignDetail {
+    /**
+     * 限流值
+     */
+    private Long throttleUnitB;
+
+    /**
+     * 开始时间
+     */
+    private Date startTime;
+
+    /**
+     * 完成时间
+     */
+    private Date finishedTime;
+
+    /**
+     * 详细信息
+     */
+    private List<ClusterBalanceDetailDataGroupByTopic> reassignTopicDetailsList;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/entity/job/ClusterBalanceReassignExtendData.java

@@ -0,0 +1,47 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import lombok.Data;
+
+/**
+ * @author zengqiao
+ * @date 22/05/06
+ */
+@Data
+@EnterpriseLoadReBalance
+public class ClusterBalanceReassignExtendData {
+    /**
+     * 原本保存时间
+     */
+    private Long originalRetentionTimeUnitMs;
+
+    /**
+     * 迁移时保存时间
+     */
+    private Long reassignRetentionTimeUnitMs;
+
+    /**
+     * 需迁移LogSize
+     */
+    private Long needReassignLogSizeUnitB;
+
+    /**
+     * 已完成迁移LogSize
+     */
+    private Long finishedReassignLogSizeUnitB;
+
+    /**
+     * 预计剩余时长
+     */
+    private Long remainTimeUnitMs;
+
+    /**
+     * 当前副本数
+     */
+    private Integer originReplicaNum;
+
+    /**
+     * 新的副本数
+     */
+    private Integer reassignReplicaNum;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/entity/job/content/JobClusterBalanceContent.java

@@ -0,0 +1,43 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.content;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.job.content.BaseJobCreateContent;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.dto.ClusterBalanceIntervalDTO;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import javax.validation.constraints.Min;
+import java.util.List;
+
+@Data
+@EnterpriseLoadReBalance
+public class JobClusterBalanceContent extends BaseJobCreateContent {
+    @Min(value = 1, message = "clusterId不允许为null或者小于0")
+    @ApiModelProperty(value = "集群ID, 默认为逻辑集群ID", example = "6")
+    private Long clusterId;
+
+    @Min(value = 1, message = "throttle不允许为null或者小于0")
+    @ApiModelProperty(value = "限流值", example = "102400000")
+    private Long throttleUnitB;
+
+    @ApiModelProperty("topic黑名单")
+    private List<String> topicBlackList;
+
+    @ApiModelProperty("均衡区间详情")
+    private List<ClusterBalanceIntervalDTO> clusterBalanceIntervalList;
+
+    @ApiModelProperty("指标计算周期，单位分钟")
+    private Integer metricCalculationPeriod;
+
+    @ApiModelProperty("任务并行数")
+    private Integer parallelNum;
+
+    @ApiModelProperty("执行策略， 1：优先最大副本，2：优先最小副本")
+    private Integer executionStrategy;
+
+    @ApiModelProperty("备注说明")
+    private String description;
+
+    @ApiModelProperty("是否是周期性任务")
+    private boolean scheduleJob;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/entity/job/detail/AbstractClusterBalanceDetailData.java

@@ -0,0 +1,79 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.detail;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import lombok.Data;
+
+import java.util.List;
+
+/**
+ * @author zengqiao
+ * @date 22/05/06
+ */
+@Data
+@EnterpriseLoadReBalance
+public abstract class AbstractClusterBalanceDetailData {
+    /**
+     * 物流集群ID
+     */
+    private Long clusterPhyId;
+
+    /**
+     * Topic名称
+     */
+    private String topicName;
+
+    /**
+     * 源Broker列表
+     */
+    private List<Integer> originalBrokerIdList;
+
+    /**
+     * 目标Broker列表
+     */
+    private List<Integer> reassignBrokerIdList;
+
+    /**
+     * 需迁移LogSize
+     */
+    private Long needReassignLogSizeUnitB;
+
+    /**
+     * 已完成迁移LogSize
+     */
+    private Long finishedReassignLogSizeUnitB;
+
+    /**
+     * 预计剩余时长
+     */
+    private Long remainTimeUnitMs;
+
+    /**
+     * 当前副本数
+     */
+    private Integer presentReplicaNum;
+
+    /**
+     * 新的副本数
+     */
+    private Integer oldReplicaNum;
+
+    /**
+     * 新的副本数
+     */
+    private Integer newReplicaNum;
+
+    /**
+     * 原本保存时间
+     */
+    private Long originalRetentionTimeUnitMs;
+
+    /**
+     * 迁移时保存时间
+     */
+    private Long reassignRetentionTimeUnitMs;
+
+    /**
+     * 状态
+     */
+    private Integer status;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/entity/job/detail/ClusterBalanceDetailDataGroupByPartition.java

@@ -0,0 +1,17 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.detail;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import lombok.Data;
+
+/**
+ * @author zengqiao
+ * @date 22/05/06
+ */
+@Data
+@EnterpriseLoadReBalance
+public class ClusterBalanceDetailDataGroupByPartition extends AbstractClusterBalanceDetailData {
+    /**
+     * 分区ID
+     */
+    private Integer partitionId;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/entity/job/detail/ClusterBalanceDetailDataGroupByTopic.java

@@ -0,0 +1,22 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.detail;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import lombok.Data;
+
+import java.util.List;
+
+
+/**
+ * @author zengqiao
+ * @date 22/05/06
+ */
+@Data
+@EnterpriseLoadReBalance
+public class ClusterBalanceDetailDataGroupByTopic extends AbstractClusterBalanceDetailData {
+    /**
+     * 分区ID列表
+     */
+    private List<Integer> partitionIdList;
+
+    private List<ClusterBalanceDetailDataGroupByPartition> reassignPartitionDetailsList;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/entity/job/detail/ClusterBalancePlanDetail.java

@@ -0,0 +1,76 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.detail;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import io.swagger.annotations.ApiModel;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import java.io.Serializable;
+
+/**
+ * 集群Topic信息
+ * @author zengqiao
+ * @date 22/02/23
+ */
+@Data
+@EnterpriseLoadReBalance
+@ApiModel(description = "集群均衡详细信息")
+public class ClusterBalancePlanDetail implements Serializable {
+    @ApiModelProperty(value = "是否均衡，1：已均衡；2：未均衡")
+    private Integer status;
+
+    @ApiModelProperty(value = "brokerId")
+    private Integer  brokerId;
+
+    @ApiModelProperty(value = "broker host")
+    private String  host;
+
+    @ApiModelProperty(value = "均衡前 cpu")
+    private Double  cpuBefore;
+
+    @ApiModelProperty(value = "均衡前 disk")
+    private Double  diskBefore;
+
+    @ApiModelProperty(value = "均衡前 byteIn")
+    private Double  byteInBefore;
+
+    @ApiModelProperty(value = "均衡前 byteOut")
+    private Double  byteOutBefore;
+
+    @ApiModelProperty(value = "均衡后 cpu")
+    private Double  cpuAfter;
+
+    @ApiModelProperty(value = "是否均衡，1：已均衡；2：未均衡")
+    private Integer cpuStatus;
+
+    @ApiModelProperty(value = "均衡后 disk")
+    private Double  diskAfter;
+
+    @ApiModelProperty(value = "是否均衡，1：已均衡；2：未均衡")
+    private Integer diskStatus;
+
+    @ApiModelProperty(value = "均衡后 byteIn")
+    private Double  byteInAfter;
+
+    @ApiModelProperty(value = "是否均衡，1：已均衡；2：未均衡")
+    private Integer byteInStatus;
+
+    @ApiModelProperty(value = "均衡后 byteOut")
+    private Double  byteOutAfter;
+
+    @ApiModelProperty(value = "是否均衡，1：已均衡；2：未均衡")
+    private Integer byteOutStatus;
+
+    @ApiModelProperty(value = "均衡流入大小")
+    private Double  inSize;
+
+    @ApiModelProperty(value = "均衡流入副本个数")
+    private Double  inReplica;
+
+    @ApiModelProperty(value = "均衡流出大小")
+    private Double  outSize;
+
+    @ApiModelProperty(value = "均衡流出副本个数")
+    private Double  outReplica;
+
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/po/ClusterBalanceJobConfigPO.java

@@ -0,0 +1,85 @@
+/*
+ * Copyright (c) 2015, WINIT and/or its affiliates. All rights reserved. Use, Copy is subject to authorized license.
+ */
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.po;
+
+import com.baomidou.mybatisplus.annotation.TableName;
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import com.xiaojukeji.know.streaming.km.common.bean.po.BasePO;
+import com.xiaojukeji.know.streaming.km.common.constant.Constant;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 集群均衡任务 实体类
+ * 
+ * @author fengqiongfeng
+ * @date 2022-05-23
+ */
+@Data
+@EnterpriseLoadReBalance
+@NoArgsConstructor
+@TableName(Constant.MYSQL_TABLE_NAME_PREFIX + "cluster_balance_job_config")
+public class ClusterBalanceJobConfigPO extends BasePO {
+
+/**
+ * 序列化版本号
+ */
+private static final long serialVersionUID=1L;
+
+    /**
+     * 集群id
+     */
+    private Long clusterId;
+
+    /**
+     * topic黑名单
+     */
+    private String topicBlackList;
+
+    /**
+     * 任务周期
+     */
+    private String taskCron;
+
+    /**
+     * 均衡区间详情
+     */
+    private String balanceIntervalJson;
+
+    /**
+     * 指标计算周期，单位分钟
+     */
+    private Integer metricCalculationPeriod;
+
+    /**
+     * 迁移脚本
+     */
+    private String reassignmentJson;
+
+    /**
+     * 任务并行数
+     */
+    private Integer parallelNum;
+
+    /**
+     * 执行策略， 1：优先最大副本，2：优先最小副本
+     */
+    private Integer executionStrategy;
+
+    /**
+     * 限流值
+     */
+    private Long throttleUnitB;
+
+    /**
+     * 操作人
+    */
+    private String creator;
+
+    /**
+     * 任务状态 0：未开启，1：开启
+     */
+    private Integer status;
+}
+

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/po/ClusterBalanceJobPO.java

@@ -0,0 +1,125 @@
+/*
+ * Copyright (c) 2015, WINIT and/or its affiliates. All rights reserved. Use, Copy is subject to authorized license.
+ */
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.po;
+
+import com.baomidou.mybatisplus.annotation.TableName;
+import com.xiaojukeji.know.streaming.km.common.bean.po.BasePO;
+import com.xiaojukeji.know.streaming.km.common.constant.Constant;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.util.Date;
+
+/**
+ * 集群均衡任务 实体类
+ * 
+ * @author fengqiongfeng
+ * @date 2022-05-23
+ */
+@Data
+@NoArgsConstructor
+@TableName(Constant.MYSQL_TABLE_NAME_PREFIX + "cluster_balance_job")
+public class ClusterBalanceJobPO extends BasePO {
+
+    /**
+     * 序列化版本号
+     */
+    private static final long serialVersionUID=1L;
+
+    /**
+     * 集群id
+     */
+    private Long clusterId;
+
+    /**
+     * 均衡节点
+     */
+    private String brokers;
+
+    /**
+     * topic黑名单
+     */
+    private String topicBlackList;
+
+    /**
+     * 1:立即均衡，2：周期均衡
+     */
+    private Integer type;
+
+    /**
+     * 均衡区间详情
+     */
+    private String balanceIntervalJson;
+
+    /**
+     * 指标计算周期，单位分钟
+     */
+    private Integer metricCalculationPeriod;
+
+    /**
+     * 迁移脚本
+     */
+    private String reassignmentJson;
+
+    /**
+     * 任务并行数
+     */
+    private Integer parallelNum;
+
+    /**
+     * 执行策略， 1：优先最大副本，2：优先最小副本
+     */
+    private Integer executionStrategy;
+
+    /**
+     * 限流值
+     */
+    private Long throttleUnitB;
+
+    /**
+     * 总迁移大小
+     */
+    private Double totalReassignSize;
+
+    /**
+     * 总迁移副本数
+     */
+    private Integer totalReassignReplicaNum;
+
+    /**
+     * 移入topic
+     */
+    private String moveInTopicList;
+
+    /**
+     * 节点均衡详情
+     */
+    private String brokerBalanceDetail;
+
+    /**
+     * 任务状态 1：进行中，2：准备，3，成功，4：失败，5：取消
+     */
+    private Integer status;
+
+    /**
+     * 操作人
+     */
+    private String creator;
+
+    /**
+     * 任务开始时间
+     */
+    private Date startTime;
+
+    /**
+     * 任务完成时间
+     */
+    private Date finishedTime;
+
+    /**
+     * 备注说明
+     */
+    private String description;
+}
+

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/po/ClusterBalanceReassignPO.java

@@ -0,0 +1,80 @@
+/*
+ * Copyright (c) 2015, WINIT and/or its affiliates. All rights reserved. Use, Copy is subject to authorized license.
+ */
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.po;
+
+import com.baomidou.mybatisplus.annotation.TableName;
+import com.xiaojukeji.know.streaming.km.common.bean.po.BasePO;
+import com.xiaojukeji.know.streaming.km.common.constant.Constant;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.util.Date;
+
+/**
+ * 集群平衡迁移详情 实体类
+ * 
+ * @author fengqiongfeng
+ * @date 2022-05-23
+ */
+@Data
+@NoArgsConstructor
+@TableName(Constant.MYSQL_TABLE_NAME_PREFIX + "cluster_balance_reassign")
+public class ClusterBalanceReassignPO extends BasePO {
+
+    /**
+     * 序列化版本号
+     */
+    private static final long serialVersionUID=1L;
+    /**
+     * jobID
+     */
+    private Long jobId;
+
+    /**
+     * 集群id
+     */
+    private Long clusterId;
+
+    /**
+     * Topic名称
+     */
+    private String topicName;
+
+    /**
+     * 分区ID
+     */
+    private Integer partitionId;
+
+    /**
+     * 源BrokerId列表
+     */
+    private String originalBrokerIds;
+
+    /**
+     * 目标BrokerId列表
+     */
+    private String reassignBrokerIds;
+
+    /**
+     * 任务开始时间
+     */
+    private Date startTime;
+
+    /**
+     * 任务完成时间
+     */
+    private Date finishedTime;
+
+    /**
+     * 扩展数据
+     */
+    private String extendData;
+
+    /**
+     * 任务状态
+     */
+    private Integer status;
+
+}
+

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/vo/ClusterBalanceHistorySubVO.java

@@ -0,0 +1,24 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.vo;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import io.swagger.annotations.ApiModel;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import java.io.Serializable;
+
+/**
+ * 集群Topic信息
+ * @author zengqiao
+ * @date 22/02/23
+ */
+@Data
+@EnterpriseLoadReBalance
+@ApiModel(description = "集群均衡历史信息")
+public class ClusterBalanceHistorySubVO implements Serializable {
+    @ApiModelProperty(value = "均衡成功节点数")
+    private Long  successNu;
+
+    @ApiModelProperty(value = "未均衡成功节点数")
+    private Long  failedNu;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/vo/ClusterBalanceHistoryVO.java

@@ -0,0 +1,34 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.vo;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import io.swagger.annotations.ApiModel;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import java.io.Serializable;
+import java.util.Date;
+import java.util.Map;
+
+/**
+ * 集群Topic信息
+ * @author zengqiao
+ * @date 22/02/23
+ */
+@Data
+@EnterpriseLoadReBalance
+@ApiModel(description = "集群均衡历史信息")
+public class ClusterBalanceHistoryVO implements Serializable {
+    @ApiModelProperty(value = "均衡开始执行时间")
+    private Date begin;
+
+    @ApiModelProperty(value = "均衡执行结束时间")
+    private Date end;
+
+    @ApiModelProperty(value = "均衡任务id")
+    private Long jobId;
+
+    @ApiModelProperty(value = "子项均衡历史信息", example = "cpu、disk")
+    private Map<String, ClusterBalanceHistorySubVO> sub;
+
+
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/vo/ClusterBalanceIntervalVO.java

@@ -0,0 +1,20 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.vo;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+
+@Data
+@EnterpriseLoadReBalance
+public class ClusterBalanceIntervalVO {
+    @ApiModelProperty("均衡维度:cpu,disk,bytesIn,bytesOut")
+    private String type;
+
+    @ApiModelProperty("平衡区间百分比")
+    private Double intervalPercent;
+
+    @ApiModelProperty("优先级")
+    private Integer priority;
+
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/vo/ClusterBalanceJobConfigVO.java

@@ -0,0 +1,55 @@
+/*
+ * Copyright (c) 2015, WINIT and/or its affiliates. All rights reserved. Use, Copy is subject to authorized license.
+ */
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.vo;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.ClusterBalanceInterval;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import java.util.List;
+
+/**
+ * 集群均衡任务 实体类
+ * 
+ * @author fengqiongfeng
+ * @date 2022-05-23
+ */
+@Data
+@EnterpriseLoadReBalance
+public class ClusterBalanceJobConfigVO {
+    /**
+     * 序列化版本号
+     */
+    private static final long serialVersionUID=1L;
+
+    @ApiModelProperty("集群id")
+    private Long clusterId;
+
+    @ApiModelProperty("topic黑名单")
+    private List<String> topicBlackList;
+
+    @ApiModelProperty("任务周期")
+    private String scheduleCron;
+
+    @ApiModelProperty("均衡区间详情")
+    private List<ClusterBalanceInterval> clusterBalanceIntervalList;
+
+    @ApiModelProperty("指标计算周期，单位分钟")
+    private Integer metricCalculationPeriod;
+
+    @ApiModelProperty("任务并行数")
+    private Integer parallelNum;
+
+    @ApiModelProperty("执行策略， 1：优先最大副本，2：优先最小副本")
+    private Integer executionStrategy;
+
+    @ApiModelProperty("限流值")
+    private Long throttleUnitB;
+
+    @ApiModelProperty("任务状态 0：未开启，1：开启")
+    private Integer status;
+
+}
+

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/vo/ClusterBalanceOverviewSubVO.java

@@ -0,0 +1,32 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.vo;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import io.swagger.annotations.ApiModel;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.io.Serializable;
+
+/**
+ * 集群Topic信息
+ * @author zengqiao
+ * @date 22/02/23
+ */
+@Data
+@AllArgsConstructor
+@NoArgsConstructor
+@EnterpriseLoadReBalance
+@ApiModel(description = "集群均衡列表信息")
+public class ClusterBalanceOverviewSubVO implements Serializable {
+    @ApiModelProperty(value = "平均值", example = "cpu的平均值，43.4")
+    private Double avg;
+
+    @ApiModelProperty(value = "规格", example = "1000")
+    private Double spec;
+
+    @ApiModelProperty(value = "均衡状态", example = "0:已均衡，-1:低于均衡值，1高于均衡值")
+    private Integer status ;
+
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/vo/ClusterBalanceOverviewVO.java

@@ -0,0 +1,37 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.vo;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import io.swagger.annotations.ApiModel;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import java.io.Serializable;
+import java.util.Map;
+
+/**
+ * 集群Topic信息
+ * @author zengqiao
+ * @date 22/02/23
+ */
+@Data
+@EnterpriseLoadReBalance
+@ApiModel(description = "集群均衡列表信息")
+public class ClusterBalanceOverviewVO implements Serializable {
+    @ApiModelProperty(value = "brokerId", example = "123")
+    private Integer brokerId;
+
+    @ApiModelProperty(value = "broker host")
+    private String host;
+
+    @ApiModelProperty(value = "broker 对应的 rack")
+    private String  rack;
+
+    @ApiModelProperty(value = "leader")
+    private Integer  leader;
+
+    @ApiModelProperty(value = "replicas")
+    private Integer  replicas;
+
+    @ApiModelProperty(value = "子项统计详细信息", example = "cpu、disk")
+    private Map<String, ClusterBalanceOverviewSubVO> sub;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/vo/ClusterBalancePlanDetailVO.java

@@ -0,0 +1,64 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.vo;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import io.swagger.annotations.ApiModel;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import java.io.Serializable;
+
+/**
+ * 集群Topic信息
+ * @author zengqiao
+ * @date 22/02/23
+ */
+@Data
+@EnterpriseLoadReBalance
+@ApiModel(description = "集群均衡历史信息")
+public class ClusterBalancePlanDetailVO implements Serializable {
+    @ApiModelProperty(value = "是否均衡，0：已均衡；2：未均衡")
+    private Integer status;
+
+    @ApiModelProperty(value = "brokerId")
+    private Integer  brokerId;
+
+    @ApiModelProperty(value = "broker host")
+    private String  host;
+
+    @ApiModelProperty(value = "均衡前 cpu")
+    private Double  cpuBefore;
+
+    @ApiModelProperty(value = "均衡前 disk")
+    private Double  diskBefore;
+
+    @ApiModelProperty(value = "均衡前 byteIn")
+    private Double  byteInBefore;
+
+    @ApiModelProperty(value = "均衡前 byteOut")
+    private Double  byteOutBefore;
+
+    @ApiModelProperty(value = "均衡后 cpu")
+    private Double  cpuAfter;
+
+    @ApiModelProperty(value = "均衡后 disk")
+    private Double  diskAfter;
+
+    @ApiModelProperty(value = "均衡后 byteIn")
+    private Double  byteInAfter;
+
+    @ApiModelProperty(value = "均衡后 byteOut")
+    private Double  byteOutAfter;
+
+    @ApiModelProperty(value = "均衡流入大小")
+    private Double  inSize;
+
+    @ApiModelProperty(value = "均衡流入副本个数")
+    private Double  inReplica;
+
+    @ApiModelProperty(value = "均衡流出大小")
+    private Double  outSize;
+
+    @ApiModelProperty(value = "均衡流出副本个数")
+    private Double  outReplica;
+
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/vo/ClusterBalancePlanVO.java

@@ -0,0 +1,49 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.vo;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import io.swagger.annotations.ApiModel;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import java.io.Serializable;
+import java.util.List;
+
+/**
+ * 集群Topic信息
+ * @author zengqiao
+ * @date 22/02/23
+ */
+@Data
+@EnterpriseLoadReBalance
+@ApiModel(description = "集群均衡信息")
+public class ClusterBalancePlanVO implements Serializable {
+    @ApiModelProperty(value = "均衡计划类型，1：立即均衡；2：周期均衡")
+    private Integer type;
+
+    @ApiModelProperty(value = "均衡执行的节点范围")
+    private List<String> brokers;
+
+    @ApiModelProperty(value = "均衡执行的Topic黑名单")
+    private List<String> blackTopics;
+
+    @ApiModelProperty(value = "均衡执行移入的Topic名单")
+    private List<String> topics;
+
+    @ApiModelProperty(value = "均衡总迁移的磁盘大小，单位byte")
+    private Double moveSize;
+
+    @ApiModelProperty(value = "均衡总迁移的副本个数")
+    private Integer replicas;
+
+    @ApiModelProperty(value = "均衡阈值")
+    private String  threshold;
+
+    @ApiModelProperty(value = "reassignment json")
+    private String  reassignmentJson;
+
+    @ApiModelProperty(value = "均衡区间信息")
+    private List<ClusterBalanceIntervalVO> clusterBalanceIntervalList;
+
+    @ApiModelProperty(value = "均衡计划明细")
+    private List<ClusterBalancePlanDetailVO> detail;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/vo/ClusterBalanceStateSubVO.java

@@ -0,0 +1,32 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.vo;
+
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import io.swagger.annotations.ApiModel;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+@Data
+@EnterpriseLoadReBalance
+@AllArgsConstructor
+@NoArgsConstructor
+@ApiModel(description = "集群均衡状态子项的详细统计信息")
+public class ClusterBalanceStateSubVO {
+
+    @ApiModelProperty(value = "平均值", example = "cpu的平均值，43.4")
+    private Double avg;
+
+    @ApiModelProperty(value = "周期均衡时的均衡区间", example = "cpu的均衡值")
+    private Double interval;
+
+    @ApiModelProperty(value = "处于周期均衡时的均衡区间的最小值以下的broker个数", example = "4")
+    private Long    smallNu;
+
+    @ApiModelProperty(value = "处于周期均衡时的均衡区间的broker个数", example = "4")
+    private Long    betweenNu;
+
+    @ApiModelProperty(value = "处于周期均衡时的均衡区间的最大值以上的broker个数", example = "4")
+    private Long    bigNu;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/bean/vo/ClusterBalanceStateVO.java

@@ -0,0 +1,32 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.bean.vo;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import io.swagger.annotations.ApiModel;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import java.io.Serializable;
+import java.util.Date;
+import java.util.Map;
+
+/**
+ * 集群Topic信息
+ * @author zengqiao
+ * @date 22/02/23
+ */
+@Data
+@EnterpriseLoadReBalance
+@ApiModel(description = "集群均衡状态信息")
+public class ClusterBalanceStateVO implements Serializable {
+    @ApiModelProperty(value = "均衡状态", example = "0:已均衡，2:未均衡")
+    private Integer status;
+
+    @ApiModelProperty(value = "是否开启均衡", example = "true:开启，false:未开启")
+    private Boolean enable;
+
+    @ApiModelProperty(value = "下次均衡开始时间")
+    private Date    next;
+
+    @ApiModelProperty(value = "子项统计详细信息", example = "cpu、disk")
+    private Map<String, ClusterBalanceStateSubVO> sub;
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/converter/ClusterBalanceConverter.java

@@ -0,0 +1,494 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.converter;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import com.xiaojukeji.know.streaming.km.persistence.es.template.TemplateConstant;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.dto.ClusterBalanceIntervalDTO;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.dto.ClusterBalancePreviewDTO;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.dto.ClusterBalanceStrategyDTO;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.broker.Broker;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.broker.BrokerSpec;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.cluster.ClusterPhy;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.ClusterBalanceInterval;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.ClusterBalanceReassignExtendData;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.detail.ClusterBalancePlanDetail;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.content.JobClusterBalanceContent;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.topic.Topic;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.po.ClusterBalanceJobConfigPO;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.po.ClusterBalanceJobPO;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.po.ClusterBalanceReassignPO;
+import com.xiaojukeji.know.streaming.km.common.constant.Constant;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.vo.*;
+import com.xiaojukeji.know.streaming.km.rebalance.common.enums.ClusterBalanceStateEnum;
+import com.xiaojukeji.know.streaming.km.rebalance.common.enums.ClusterBalanceTypeEnum;
+import com.xiaojukeji.know.streaming.km.common.enums.job.JobStatusEnum;
+import com.xiaojukeji.know.streaming.km.common.enums.job.JobTypeEnum;
+import com.xiaojukeji.know.streaming.km.common.utils.CommonUtils;
+import com.xiaojukeji.know.streaming.km.common.utils.ConvertUtil;
+import com.xiaojukeji.know.streaming.km.common.utils.ValidateUtils;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.*;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.model.Resource;
+import org.apache.kafka.clients.CommonClientConfigs;
+
+import java.util.*;
+import java.util.function.Function;
+import java.util.stream.Collectors;
+
+@EnterpriseLoadReBalance
+public class ClusterBalanceConverter {
+    private ClusterBalanceConverter() {
+    }
+
+    public static BalanceParameter convert2BalanceParameter(ClusterBalanceJobConfigPO configPO,
+                                                            Map<Integer, Broker> brokerMap,
+                                                            Map<Integer, BrokerSpec> brokerSpecMap,
+                                                            ClusterPhy clusterPhy,
+                                                            String esUrl,
+                                                            String esPassword,
+                                                            List<String> topicNames) {
+        BalanceParameter balanceParameter = new BalanceParameter();
+        List<ClusterBalanceIntervalDTO> clusterBalanceIntervalDTOS = ConvertUtil.str2ObjArrayByJson(configPO.getBalanceIntervalJson(), ClusterBalanceIntervalDTO.class);
+
+        List<String> goals = new ArrayList<>();
+        for(ClusterBalanceIntervalDTO clusterBalanceIntervalDTO : clusterBalanceIntervalDTOS){
+            if (Resource.DISK.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setDiskThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                goals.add(BalanceGoal.DISK.goal());
+            }else if (Resource.CPU.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setCpuThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                // todo cpu底层暂未实现，先不加goal
+            }else if (Resource.NW_IN.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setNetworkInThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                goals.add(BalanceGoal.NW_IN.goal());
+            }else if (Resource.NW_OUT.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setNetworkOutThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                goals.add(BalanceGoal.NW_OUT.goal());
+            }
+        }
+        balanceParameter.setGoals(goals);
+        balanceParameter.setCluster(clusterPhy.getId().toString());
+        balanceParameter.setExcludedTopics(configPO.getTopicBlackList());
+        balanceParameter.setEsInfo(esUrl, esPassword, TemplateConstant.PARTITION_INDEX + "_");
+        balanceParameter.setBalanceBrokers(CommonUtils.intSet2String(brokerMap.keySet()));
+        balanceParameter.setHardwareEnv(convert2ListHostEnv(brokerMap, brokerSpecMap));
+        balanceParameter.setBeforeSeconds(configPO.getMetricCalculationPeriod());
+        balanceParameter.setIgnoredTopics(CommonUtils.strList2String(topicNames));
+
+        Properties kafkaConfig = new Properties();
+        kafkaConfig.put(CommonClientConfigs.BOOTSTRAP_SERVERS_CONFIG, clusterPhy.getBootstrapServers());
+        kafkaConfig.putAll(ConvertUtil.str2ObjByJson(clusterPhy.getClientProperties(), Properties.class));
+        balanceParameter.setKafkaConfig(kafkaConfig);
+        return balanceParameter;
+
+    }
+
+    public static BalanceParameter convert2BalanceParameter(ClusterBalanceJobPO clusterBalanceJobPO,
+                                                            Map<Integer, Broker> brokerMap,
+                                                            Map<Integer, BrokerSpec> brokerSpecMap,
+                                                            ClusterPhy clusterPhy,
+                                                            String esUrl,
+                                                            String esPassword,
+                                                            List<String> topicNames) {
+        BalanceParameter balanceParameter = new BalanceParameter();
+        List<ClusterBalanceIntervalDTO> clusterBalanceIntervalDTOS = ConvertUtil.str2ObjArrayByJson(clusterBalanceJobPO.getBalanceIntervalJson(), ClusterBalanceIntervalDTO.class);
+
+        List<String> goals = new ArrayList<>();
+        for(ClusterBalanceIntervalDTO clusterBalanceIntervalDTO : clusterBalanceIntervalDTOS){
+            if (Resource.DISK.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setDiskThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                goals.add(BalanceGoal.DISK.goal());
+            }else if (Resource.CPU.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setCpuThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                // todo cpu底层暂未实现，先不加goal
+            }else if (Resource.NW_IN.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setNetworkInThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                goals.add(BalanceGoal.NW_IN.goal());
+            }else if (Resource.NW_OUT.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setNetworkOutThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                goals.add(BalanceGoal.NW_OUT.goal());
+            }
+        }
+        balanceParameter.setGoals(goals);
+        balanceParameter.setCluster(clusterPhy.getId().toString());
+        balanceParameter.setExcludedTopics(clusterBalanceJobPO.getTopicBlackList());
+        balanceParameter.setEsInfo(esUrl, esPassword, TemplateConstant.PARTITION_INDEX + "_");
+        balanceParameter.setBalanceBrokers(clusterBalanceJobPO.getBrokers());
+        balanceParameter.setHardwareEnv(convert2ListHostEnv(brokerMap, brokerSpecMap));
+        balanceParameter.setBeforeSeconds(clusterBalanceJobPO.getMetricCalculationPeriod());
+        balanceParameter.setIgnoredTopics(CommonUtils.strList2String(topicNames));
+
+        Properties kafkaConfig = new Properties();
+        kafkaConfig.put(CommonClientConfigs.BOOTSTRAP_SERVERS_CONFIG, clusterPhy.getBootstrapServers());
+        kafkaConfig.putAll(ConvertUtil.str2ObjByJson(clusterPhy.getClientProperties(), Properties.class));
+        balanceParameter.setKafkaConfig(kafkaConfig);
+        return balanceParameter;
+
+    }
+
+    public static BalanceParameter convert2BalanceParameter(JobClusterBalanceContent dto,
+                                                            List<Broker> brokers,
+                                                            Map<Integer, BrokerSpec> brokerSpecMap,
+                                                            ClusterPhy clusterPhy,
+                                                            String esUrl,
+                                                            String esPassword,
+                                                            List<String> topicNames) {
+        BalanceParameter balanceParameter = new BalanceParameter();
+        List<ClusterBalanceIntervalDTO> clusterBalanceIntervalDTOS =  dto.getClusterBalanceIntervalList().stream()
+                .sorted(Comparator.comparing(ClusterBalanceIntervalDTO::getPriority)).collect(Collectors.toList());
+        List<String> goals = new ArrayList<>();
+        for(ClusterBalanceIntervalDTO clusterBalanceIntervalDTO : clusterBalanceIntervalDTOS){
+            if (Resource.DISK.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setDiskThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                goals.add(BalanceGoal.DISK.goal());
+            }else if (Resource.CPU.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setCpuThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                // todo cpu底层暂未实现，先不加goal
+            }else if (Resource.NW_IN.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setNetworkInThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                goals.add(BalanceGoal.NW_IN.goal());
+            }else if (Resource.NW_OUT.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setNetworkOutThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                goals.add(BalanceGoal.NW_OUT.goal());
+            }
+        }
+
+        Map<Integer, Broker> brokerMap = brokers.stream().collect(Collectors.toMap(Broker::getBrokerId, Function.identity()));
+        balanceParameter.setGoals(goals);
+        balanceParameter.setCluster(clusterPhy.getId().toString());
+        balanceParameter.setExcludedTopics(CommonUtils.strList2String(dto.getTopicBlackList()));
+        balanceParameter.setEsInfo(esUrl, esPassword, TemplateConstant.PARTITION_INDEX + "_");
+        balanceParameter.setBalanceBrokers(CommonUtils.intSet2String(brokerMap.keySet()));
+        balanceParameter.setHardwareEnv(convert2ListHostEnv(brokerMap, brokerSpecMap));
+        balanceParameter.setBeforeSeconds(dto.getMetricCalculationPeriod());
+        balanceParameter.setIgnoredTopics(CommonUtils.strList2String(topicNames));
+
+        Properties kafkaConfig = new Properties();
+        kafkaConfig.put(CommonClientConfigs.BOOTSTRAP_SERVERS_CONFIG, clusterPhy.getBootstrapServers());
+        kafkaConfig.putAll(ConvertUtil.str2ObjByJson(clusterPhy.getClientProperties(), Properties.class));
+        balanceParameter.setKafkaConfig(kafkaConfig);
+        return balanceParameter;
+
+    }
+
+    public static BalanceParameter convert2BalanceParameter(ClusterBalancePreviewDTO dto,
+                                                            Map<Integer, Broker> brokerMap,
+                                                            Map<Integer, BrokerSpec> brokerSpecMap,
+                                                            ClusterPhy clusterPhy,
+                                                            String esUrl,
+                                                            String esPassword,
+                                                            List<String> topicNames) {
+        BalanceParameter balanceParameter = new BalanceParameter();
+        List<ClusterBalanceIntervalDTO> clusterBalanceIntervalDTOS =  dto.getClusterBalanceIntervalList().stream()
+                .sorted(Comparator.comparing(ClusterBalanceIntervalDTO::getPriority)).collect(Collectors.toList());
+        List<String> goals = new ArrayList<>();
+        for(ClusterBalanceIntervalDTO clusterBalanceIntervalDTO : clusterBalanceIntervalDTOS){
+            if (Resource.DISK.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setDiskThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                goals.add(BalanceGoal.DISK.goal());
+            }else if (Resource.CPU.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setCpuThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                // todo cpu底层暂未实现，先不加goal
+            }else if (Resource.NW_IN.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setNetworkInThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                goals.add(BalanceGoal.NW_IN.goal());
+            }else if (Resource.NW_OUT.resource().equals(clusterBalanceIntervalDTO.getType())){
+                balanceParameter.setNetworkOutThreshold(clusterBalanceIntervalDTO.getIntervalPercent()/100);
+                goals.add(BalanceGoal.NW_OUT.goal());
+            }
+        }
+        balanceParameter.setGoals(goals);
+        balanceParameter.setCluster(clusterPhy.getId().toString());
+        balanceParameter.setExcludedTopics(CommonUtils.strList2String(dto.getTopicBlackList()));
+        balanceParameter.setEsInfo(esUrl, esPassword, TemplateConstant.PARTITION_INDEX + "_");
+        balanceParameter.setBalanceBrokers(CommonUtils.intList2String(dto.getBrokers()));
+        balanceParameter.setHardwareEnv(convert2ListHostEnv(brokerMap, brokerSpecMap));
+        balanceParameter.setBeforeSeconds(dto.getMetricCalculationPeriod());
+        balanceParameter.setIgnoredTopics(CommonUtils.strList2String(topicNames));
+
+        Properties kafkaConfig = new Properties();
+        kafkaConfig.put(CommonClientConfigs.BOOTSTRAP_SERVERS_CONFIG, clusterPhy.getBootstrapServers());
+        kafkaConfig.putAll(ConvertUtil.str2ObjByJson(clusterPhy.getClientProperties(), Properties.class));
+        balanceParameter.setKafkaConfig(kafkaConfig);
+        return balanceParameter;
+
+    }
+
+
+    public static ClusterBalanceJobPO convert2ClusterBalanceJobPO(Long jobId, JobClusterBalanceContent jobDTO, OptimizerResult optimizerResult, List<Broker> brokers, String operator, String json) {
+        if (ValidateUtils.anyNull(jobDTO, optimizerResult, optimizerResult.resultJsonOverview(),
+                optimizerResult.resultJsonDetailed(), optimizerResult.resultDetailed(), optimizerResult.resultJsonTask())){
+            return null;
+        }
+
+        ClusterBalanceJobPO clusterBalanceJobPO = new ClusterBalanceJobPO();
+        clusterBalanceJobPO.setId(jobId);
+        clusterBalanceJobPO.setType(jobDTO.isScheduleJob()?
+                ClusterBalanceTypeEnum.CYCLE.getType():ClusterBalanceTypeEnum.IMMEDIATELY.getType());
+        clusterBalanceJobPO.setStatus(JobStatusEnum.WAITING.getStatus());
+        clusterBalanceJobPO.setCreator(operator);
+        clusterBalanceJobPO.setParallelNum(jobDTO.getParallelNum());
+        clusterBalanceJobPO.setThrottleUnitB(jobDTO.getThrottleUnitB());
+        clusterBalanceJobPO.setDescription(jobDTO.getDescription());
+        clusterBalanceJobPO.setBrokers(CommonUtils.intList2String(brokers.stream().map(Broker::getBrokerId).collect(Collectors.toList())));
+        clusterBalanceJobPO.setClusterId(jobDTO.getClusterId());
+        clusterBalanceJobPO.setTopicBlackList(CommonUtils.strList2String(jobDTO.getTopicBlackList()));
+        clusterBalanceJobPO.setMoveInTopicList(optimizerResult.resultOverview().getMoveTopics());
+        clusterBalanceJobPO.setExecutionStrategy(jobDTO.getExecutionStrategy());
+        clusterBalanceJobPO.setBalanceIntervalJson(ConvertUtil.obj2Json(jobDTO.getClusterBalanceIntervalList()));
+        clusterBalanceJobPO.setBrokerBalanceDetail(ConvertUtil.obj2Json(convert2ClusterBalancePlanDetail(optimizerResult.resultDetailed())));
+        clusterBalanceJobPO.setMetricCalculationPeriod(jobDTO.getMetricCalculationPeriod());
+        clusterBalanceJobPO.setReassignmentJson(json);
+        clusterBalanceJobPO.setTotalReassignSize(optimizerResult.resultOverview().getTotalMoveSize());
+        clusterBalanceJobPO.setTotalReassignReplicaNum(optimizerResult.resultOverview().getMoveReplicas());
+        clusterBalanceJobPO.setDescription(optimizerResult.resultJsonBalanceActionHistory());
+        return clusterBalanceJobPO;
+    }
+
+    public static ClusterBalanceReassignPO convert2ClusterBalanceReassignPO(BalanceTask balanceTask, Topic topic, Long jobId, Long clusterId) {
+        ClusterBalanceReassignPO reassignPO = new ClusterBalanceReassignPO();
+        reassignPO.setClusterId(clusterId);
+        reassignPO.setJobId(jobId);
+        reassignPO.setPartitionId(balanceTask.getPartition());
+        reassignPO.setOriginalBrokerIds(CommonUtils.intList2String(topic.getPartitionMap().get(balanceTask.getPartition())));
+        reassignPO.setReassignBrokerIds(CommonUtils.intList2String(balanceTask.getReplicas()));
+        reassignPO.setTopicName(balanceTask.getTopic());
+        ClusterBalanceReassignExtendData extendData = new ClusterBalanceReassignExtendData();
+        extendData.setOriginalRetentionTimeUnitMs(topic.getRetentionMs());
+        extendData.setReassignRetentionTimeUnitMs(topic.getRetentionMs());
+        extendData.setOriginReplicaNum(topic.getReplicaNum());
+        extendData.setReassignReplicaNum(balanceTask.getReplicas().size());
+        reassignPO.setExtendData(ConvertUtil.obj2Json(extendData));
+        reassignPO.setStatus(JobStatusEnum.WAITING.getStatus());
+        return reassignPO;
+    }
+
+    public static List<ClusterBalanceReassignPO> convert2ListClusterBalanceReassignPO(List<BalanceTask> balanceTasks, Map<String, Topic> topicMap, Long jobId, Long clusterId) {
+        List<ClusterBalanceReassignPO> reassignPOs = new ArrayList<>();
+        //生成迁移详情
+        Map<String, List<BalanceTask>> balanceTaskMap = balanceTasks.stream().collect(Collectors.groupingBy(BalanceTask::getTopic));
+        for (Map.Entry<String, List<BalanceTask>> entry : balanceTaskMap.entrySet()){
+            Topic topic = topicMap.get(entry.getKey());
+            if (topic == null || topic.getPartitionMap() == null){
+                continue;
+            }
+            for (BalanceTask balanceTask : entry.getValue()){
+                reassignPOs.add(ClusterBalanceConverter.convert2ClusterBalanceReassignPO(balanceTask, topic, jobId, clusterId));
+            }
+        }
+        return reassignPOs;
+    }
+
+    public static ClusterBalanceJobConfigPO convert2ClusterBalanceJobConfigPO(ClusterBalanceStrategyDTO dto, String operator) {
+        ClusterBalanceJobConfigPO jobConfigPO = new ClusterBalanceJobConfigPO();
+        jobConfigPO.setCreator(operator);
+        jobConfigPO.setParallelNum(dto.getParallelNum());
+        jobConfigPO.setThrottleUnitB(dto.getThrottleUnitB());
+        jobConfigPO.setClusterId(dto.getClusterId());
+        jobConfigPO.setExecutionStrategy(dto.getExecutionStrategy());
+        jobConfigPO.setBalanceIntervalJson(ConvertUtil.obj2Json(dto.getClusterBalanceIntervalList()));
+        jobConfigPO.setTaskCron(dto.getScheduleCron());
+        jobConfigPO.setMetricCalculationPeriod(dto.getMetricCalculationPeriod());
+        jobConfigPO.setStatus(dto.getStatus());
+        return jobConfigPO;
+    }
+
+    public static JobClusterBalanceContent convert2JobClusterBalanceContent(ClusterBalanceJobConfigPO configPO) {
+        JobClusterBalanceContent content = new JobClusterBalanceContent();
+        content.setType(JobTypeEnum.CLUSTER_BALANCE.getType());
+        content.setParallelNum(configPO.getParallelNum());
+        content.setThrottleUnitB(configPO.getThrottleUnitB());
+        content.setClusterId(configPO.getClusterId());
+        content.setExecutionStrategy(configPO.getExecutionStrategy());
+        content.setClusterBalanceIntervalList(ConvertUtil.str2ObjArrayByJson(configPO.getBalanceIntervalJson(), ClusterBalanceIntervalDTO.class));
+        content.setMetricCalculationPeriod(configPO.getMetricCalculationPeriod());
+        content.setTopicBlackList(CommonUtils.string2StrList(configPO.getTopicBlackList()));
+        content.setScheduleJob(Boolean.TRUE);
+        return content;
+    }
+
+    public static List<ClusterBalancePlanDetail> convert2ClusterBalancePlanDetail(Map<Integer, BalanceDetailed> detailedMap) {
+        List<ClusterBalancePlanDetail> details = new ArrayList<>();
+        for(Map.Entry<Integer, BalanceDetailed> entry : detailedMap.entrySet()){
+            BalanceDetailed balanceDetailed = entry.getValue();
+            if (balanceDetailed == null){
+                continue ;
+            }
+            ClusterBalancePlanDetail planDetail = new ClusterBalancePlanDetail();
+            planDetail.setStatus(balanceDetailed.getBalanceState()==ClusterBalanceStateEnum.BALANCE.getState()?ClusterBalanceStateEnum.BALANCE.getState():ClusterBalanceStateEnum.UNBALANCED.getState());
+            planDetail.setHost(balanceDetailed.getHost());
+            planDetail.setBrokerId(entry.getKey());
+            planDetail.setCpuBefore(balanceDetailed.getCurrentCPUUtilization()*Constant.ONE_HUNDRED);
+            planDetail.setCpuAfter(balanceDetailed.getLastCPUUtilization()*Constant.ONE_HUNDRED);
+            planDetail.setDiskBefore(balanceDetailed.getCurrentDiskUtilization()*Constant.ONE_HUNDRED);
+            planDetail.setDiskAfter(balanceDetailed.getLastDiskUtilization()*Constant.ONE_HUNDRED);
+            planDetail.setByteInBefore(balanceDetailed.getCurrentNetworkInUtilization()*Constant.ONE_HUNDRED);
+            planDetail.setByteInAfter(balanceDetailed.getLastNetworkInUtilization()*Constant.ONE_HUNDRED);
+            planDetail.setByteOutBefore(balanceDetailed.getCurrentNetworkOutUtilization()*Constant.ONE_HUNDRED);
+            planDetail.setByteOutAfter(balanceDetailed.getLastNetworkOutUtilization()*Constant.ONE_HUNDRED);
+            planDetail.setInReplica(balanceDetailed.getMoveInReplicas());
+            planDetail.setOutReplica(balanceDetailed.getMoveOutReplicas());
+            planDetail.setInSize(balanceDetailed.getMoveInDiskSize());
+            planDetail.setOutSize(balanceDetailed.getMoveOutDiskSize());
+            details.add(planDetail);
+        }
+        return details;
+    }
+
+    //更新平衡任务完成后的集群均衡状态
+    public static List<ClusterBalancePlanDetail> convert2ClusterBalancePlanDetail(List<ClusterBalancePlanDetail> details, Map<Integer, BrokerBalanceState> stateMap) {
+        details.forEach(planDetail ->{
+            BrokerBalanceState state = stateMap.get(planDetail.getBrokerId());
+            if (state == null){
+                return;
+            }
+            planDetail.setCpuStatus(state.getCpuBalanceState());
+            planDetail.setDiskStatus(state.getDiskBalanceState());
+            planDetail.setByteInStatus(state.getBytesInBalanceState());
+            planDetail.setByteOutStatus(state.getBytesOutBalanceState());
+            if ((state.getCpuBalanceState() == null || ClusterBalanceStateEnum.BALANCE.getState().equals(state.getCpuBalanceState()))
+                    && (state.getDiskBalanceState() == null || ClusterBalanceStateEnum.BALANCE.getState().equals(state.getDiskBalanceState()))
+                    && (state.getBytesInBalanceState() == null || ClusterBalanceStateEnum.BALANCE.getState().equals(state.getBytesInBalanceState()))
+                    && (state.getBytesOutBalanceState() == null || ClusterBalanceStateEnum.BALANCE.getState().equals(state.getBytesOutBalanceState()))) {
+                planDetail.setStatus(ClusterBalanceStateEnum.BALANCE.getState());
+            }else {
+                planDetail.setStatus(ClusterBalanceStateEnum.UNBALANCED.getState());
+            }
+        });
+        return details;
+    }
+
+    public static List<ClusterBalancePlanDetailVO> convert2ClusterBalancePlanDetailVO(List<Integer> balanceBrokerIds, Map<Integer, BalanceDetailed> detailedMap) {
+        List<ClusterBalancePlanDetailVO> detailVOS = new ArrayList<>();
+        for(Map.Entry<Integer, BalanceDetailed> entry : detailedMap.entrySet()){
+            BalanceDetailed value = entry.getValue();
+            if (value == null || !balanceBrokerIds.contains(entry.getKey())){
+                continue ;
+            }
+            ClusterBalancePlanDetailVO planDetailVO = new ClusterBalancePlanDetailVO();
+            planDetailVO.setStatus(value.getBalanceState()==ClusterBalanceStateEnum.BALANCE.getState()?ClusterBalanceStateEnum.BALANCE.getState():ClusterBalanceStateEnum.UNBALANCED.getState());
+            planDetailVO.setHost(value.getHost());
+            planDetailVO.setBrokerId(entry.getKey());
+            planDetailVO.setCpuBefore(value.getCurrentCPUUtilization()*Constant.ONE_HUNDRED);
+            planDetailVO.setCpuAfter(value.getLastCPUUtilization()*Constant.ONE_HUNDRED);
+            planDetailVO.setDiskBefore(value.getCurrentDiskUtilization()*Constant.ONE_HUNDRED);
+            planDetailVO.setDiskAfter(value.getLastDiskUtilization()*Constant.ONE_HUNDRED);
+            planDetailVO.setByteInBefore(value.getCurrentNetworkInUtilization()*Constant.ONE_HUNDRED);
+            planDetailVO.setByteInAfter(value.getLastNetworkInUtilization()*Constant.ONE_HUNDRED);
+            planDetailVO.setByteOutBefore(value.getCurrentNetworkOutUtilization()*Constant.ONE_HUNDRED);
+            planDetailVO.setByteOutAfter(value.getLastNetworkOutUtilization()*Constant.ONE_HUNDRED);
+            planDetailVO.setInReplica(value.getMoveInReplicas());
+            planDetailVO.setOutReplica(value.getMoveOutReplicas());
+            planDetailVO.setInSize(value.getMoveInDiskSize());
+            planDetailVO.setOutSize(value.getMoveOutDiskSize());
+            detailVOS.add(planDetailVO);
+        }
+        return detailVOS;
+    }
+
+    public static ClusterBalancePlanVO convert2ClusterBalancePlanVO(ClusterBalancePreviewDTO jobDTO, OptimizerResult optimizerResult, List<Broker> allBrokers) {
+        if (ValidateUtils.anyNull(jobDTO, optimizerResult, optimizerResult.resultJsonOverview(),
+                optimizerResult.resultJsonDetailed(), optimizerResult.resultDetailed(), optimizerResult.resultJsonTask())){
+            return null;
+        }
+        ClusterBalancePlanVO planVO = new ClusterBalancePlanVO();
+        planVO.setTopics(CommonUtils.string2StrList(optimizerResult.resultOverview().getMoveTopics()));
+        planVO.setType(ClusterBalanceTypeEnum.IMMEDIATELY.getType());
+        planVO.setReplicas(optimizerResult.resultOverview().getMoveReplicas());
+        planVO.setBlackTopics(jobDTO.getTopicBlackList());
+        planVO.setMoveSize(optimizerResult.resultOverview().getTotalMoveSize());
+        planVO.setThreshold(ConvertUtil.obj2Json(jobDTO.getClusterBalanceIntervalList()));
+        planVO.setBrokers(convert2HostList(allBrokers, optimizerResult.resultOverview().getNodeRange()));
+        planVO.setDetail(convert2ClusterBalancePlanDetailVO(jobDTO.getBrokers(), optimizerResult.resultDetailed()));
+        planVO.setClusterBalanceIntervalList(ConvertUtil.list2List(jobDTO.getClusterBalanceIntervalList(), ClusterBalanceIntervalVO.class));
+        planVO.setReassignmentJson(optimizerResult.resultJsonTask());
+        return planVO;
+    }
+
+    public static ClusterBalancePreviewDTO convert2ClusterBalancePreviewDTO(ClusterBalanceJobPO clusterBalanceJobPO) {
+
+        ClusterBalancePreviewDTO planVO = new ClusterBalancePreviewDTO();
+        planVO.setBrokers(CommonUtils.string2IntList(clusterBalanceJobPO.getBrokers()));
+        planVO.setClusterBalanceIntervalList(ConvertUtil.str2ObjArrayByJson(clusterBalanceJobPO.getBalanceIntervalJson(), ClusterBalanceIntervalDTO.class));
+        planVO.setClusterId(clusterBalanceJobPO.getClusterId());
+        planVO.setExecutionStrategy(clusterBalanceJobPO.getExecutionStrategy());
+        planVO.setParallelNum(clusterBalanceJobPO.getParallelNum());
+        planVO.setThrottleUnitB(clusterBalanceJobPO.getThrottleUnitB());
+        planVO.setMetricCalculationPeriod(clusterBalanceJobPO.getMetricCalculationPeriod());
+        planVO.setTopicBlackList(CommonUtils.string2StrList(clusterBalanceJobPO.getTopicBlackList()));
+        return planVO;
+    }
+
+    public static  Map<String, ClusterBalanceOverviewSubVO> convert2MapClusterBalanceOverviewSubVO(BrokerSpec brokerSpec, BrokerBalanceState state) {
+        Map<String, ClusterBalanceOverviewSubVO> subVOMap = new HashMap<>();
+        if (brokerSpec == null){
+            brokerSpec = new BrokerSpec();
+        }
+        if (state == null){
+            state = new BrokerBalanceState();
+        }
+        Double cpuSpec = brokerSpec.getCpu()!=null?brokerSpec.getCpu()*Constant.ONE_HUNDRED:null;//转成基础单位
+        subVOMap.put(Resource.DISK.resource(),
+                new ClusterBalanceOverviewSubVO(
+                        state.getDiskAvgResource(), brokerSpec.getDisk(),
+                        state.getDiskBalanceState() == null || state.getDiskBalanceState().equals(ClusterBalanceStateEnum.BALANCE.getState())?state.getDiskBalanceState():ClusterBalanceStateEnum.UNBALANCED.getState()));
+        subVOMap.put(Resource.CPU.resource(),
+                new ClusterBalanceOverviewSubVO(state.getCpuAvgResource(), cpuSpec,
+                        state.getCpuBalanceState() == null || state.getCpuBalanceState().equals(ClusterBalanceStateEnum.BALANCE.getState())?state.getCpuBalanceState():ClusterBalanceStateEnum.UNBALANCED.getState()));
+        subVOMap.put(Resource.NW_IN.resource(),
+                new ClusterBalanceOverviewSubVO(
+                        state.getBytesInAvgResource(), brokerSpec.getFlow(),
+                        state.getBytesInBalanceState() == null || state.getBytesInBalanceState().equals(ClusterBalanceStateEnum.BALANCE.getState())?state.getBytesInBalanceState():ClusterBalanceStateEnum.UNBALANCED.getState()));
+        subVOMap.put(Resource.NW_OUT.resource(),
+                new ClusterBalanceOverviewSubVO(
+                        state.getBytesOutAvgResource(), brokerSpec.getFlow(),
+                        state.getBytesOutBalanceState() == null || state.getBytesOutBalanceState().equals(ClusterBalanceStateEnum.BALANCE.getState())?state.getBytesOutBalanceState():ClusterBalanceStateEnum.UNBALANCED.getState()));
+        return subVOMap;
+    }
+
+
+
+    public static ClusterBalanceJobConfigVO convert2ClusterBalanceJobConfigVO(ClusterBalanceJobConfigPO clusterBalanceJobConfigPO){
+        ClusterBalanceJobConfigVO configVO = new ClusterBalanceJobConfigVO();
+        configVO.setScheduleCron(clusterBalanceJobConfigPO.getTaskCron());
+        configVO.setClusterBalanceIntervalList(ConvertUtil.str2ObjArrayByJson(clusterBalanceJobConfigPO.getBalanceIntervalJson(), ClusterBalanceInterval.class));
+        configVO.setClusterId(clusterBalanceJobConfigPO.getClusterId());
+        configVO.setExecutionStrategy(clusterBalanceJobConfigPO.getExecutionStrategy());
+        configVO.setParallelNum(clusterBalanceJobConfigPO.getParallelNum());
+        configVO.setMetricCalculationPeriod(clusterBalanceJobConfigPO.getMetricCalculationPeriod());
+        configVO.setThrottleUnitB(clusterBalanceJobConfigPO.getThrottleUnitB());
+        configVO.setTopicBlackList(CommonUtils.string2StrList(clusterBalanceJobConfigPO.getTopicBlackList()));
+        configVO.setStatus(clusterBalanceJobConfigPO.getStatus());
+        return configVO;
+    }
+
+
+    public static List<String> convert2HostList(List<Broker> allBrokers, String brokerIdStr){
+        if (allBrokers.isEmpty() || ValidateUtils.isBlank(brokerIdStr)){
+            return new ArrayList<>();
+        }
+        List<Integer> brokerIds = CommonUtils.string2IntList(brokerIdStr);
+        return allBrokers.stream().filter(broker -> brokerIds.contains(broker.getBrokerId()))
+                .map(Broker::getHost).collect(Collectors.toList());
+    }
+
+    private static List<HostEnv> convert2ListHostEnv(Map<Integer, Broker> brokerMap, Map<Integer, BrokerSpec> brokerSpecMap) {
+        List<HostEnv> hostEnvs = new ArrayList<>();
+        for (Map.Entry<Integer, Broker> entry : brokerMap.entrySet()) {
+            HostEnv hostEnv = new HostEnv();
+            hostEnv.setId(entry.getKey());
+            hostEnv.setHost(entry.getValue().getHost());
+            hostEnv.setRackId(entry.getValue().getRack());
+            BrokerSpec brokerSpec = brokerSpecMap.get(entry.getKey());
+            if (brokerSpec == null){
+                continue;
+            }
+            hostEnv.setCpu(brokerSpec.getCpu().intValue() * Constant.ONE_HUNDRED);
+            hostEnv.setDisk(brokerSpec.getDisk() * Constant.B_TO_GB);
+            hostEnv.setNetwork(brokerSpec.getFlow() * Constant.B_TO_MB);
+            hostEnvs.add(hostEnv);
+        }
+
+        return hostEnvs;
+
+    }
+
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/converter/ClusterBalanceReassignConverter.java

@@ -0,0 +1,218 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.converter;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.ClusterBalanceReassignDetail;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.ClusterBalanceReassignExtendData;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.detail.ClusterBalanceDetailDataGroupByPartition;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.detail.ClusterBalanceDetailDataGroupByTopic;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.job.Job;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.job.JobStatus;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.job.detail.JobDetail;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.job.detail.SubJobReplicaMoveDetail;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.reassign.strategy.ReplaceReassignSub;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.po.ClusterBalanceJobPO;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.po.ClusterBalanceReassignPO;
+import com.xiaojukeji.know.streaming.km.common.bean.vo.job.sub.SubJobClusterBalanceReplicaMoveVO;
+import com.xiaojukeji.know.streaming.km.common.bean.vo.job.sub.SubJobPartitionDetailVO;
+import com.xiaojukeji.know.streaming.km.common.bean.vo.job.sub.SubJobVO;
+import com.xiaojukeji.know.streaming.km.common.enums.job.JobStatusEnum;
+import com.xiaojukeji.know.streaming.km.common.utils.CommonUtils;
+import com.xiaojukeji.know.streaming.km.common.utils.ConvertUtil;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+@EnterpriseLoadReBalance
+public class ClusterBalanceReassignConverter {
+
+    private ClusterBalanceReassignConverter() {
+    }
+
+    public static JobDetail convert2JobDetail(Job job, ClusterBalanceReassignDetail reassignDetail) {
+        JobDetail jobDetail = new JobDetail();
+        jobDetail.setId(job.getId());
+        jobDetail.setJobType(job.getJobType());
+        jobDetail.setJobName(job.getJobName());
+        jobDetail.setJobStatus(job.getJobStatus());
+        jobDetail.setPlanTime(job.getPlanTime());
+
+        jobDetail.setStartTime(reassignDetail.getStartTime());
+        jobDetail.setEndTime(reassignDetail.getFinishedTime());
+        jobDetail.setFlowLimit(reassignDetail.getThrottleUnitB().doubleValue());
+
+        JobStatus jobStatus = new JobStatus(reassignDetail.getReassignTopicDetailsList().stream().map(elem -> elem.getStatus()).collect(Collectors.toList()));
+        jobDetail.setTotal(jobStatus.getTotal());
+        jobDetail.setSuccess(jobStatus.getSuccess());
+        jobDetail.setFail(jobStatus.getFailed());
+        jobDetail.setDoing(jobStatus.getDoing());
+
+        List<SubJobVO> subJobDetailList = new ArrayList<>();
+        subJobDetailList.addAll(
+                ConvertUtil.list2List(convert2SubJobReplicaMoveDetailList(reassignDetail.getReassignTopicDetailsList()), SubJobClusterBalanceReplicaMoveVO.class)
+        );
+        jobDetail.setSubJobs(subJobDetailList);
+
+        return jobDetail;
+    }
+
+    public static ClusterBalanceReassignDetail convert2ClusterBalanceReassignDetail(ClusterBalanceJobPO jobPO, List<ClusterBalanceReassignPO> reassignPOS) {
+        // 按照Topic做聚合
+        Map<String, List<ClusterBalanceReassignPO>> topicJobPOMap = new HashMap<>();
+        reassignPOS.forEach(elem -> {
+            topicJobPOMap.putIfAbsent(elem.getTopicName(), new ArrayList<>());
+            topicJobPOMap.get(elem.getTopicName()).add(elem);
+        });
+
+        List<ClusterBalanceDetailDataGroupByTopic> reassignTopicDetailsList = new ArrayList<>();
+        for (Map.Entry<String, List<ClusterBalanceReassignPO>> entry: topicJobPOMap.entrySet()) {
+            reassignTopicDetailsList.add(convert2ClusterBalanceDetailDataGroupByTopic(entry.getValue()));
+        }
+
+        ClusterBalanceReassignDetail jobDetail = new ClusterBalanceReassignDetail();
+        jobDetail.setThrottleUnitB(jobPO.getThrottleUnitB());
+        jobDetail.setReassignTopicDetailsList(reassignTopicDetailsList);
+        jobDetail.setStartTime(jobPO.getStartTime());
+        if (JobStatusEnum.isFinished(jobPO.getStatus())) {
+            jobDetail.setFinishedTime(jobPO.getFinishedTime());
+        }
+        return jobDetail;
+    }
+
+    private static ClusterBalanceDetailDataGroupByTopic convert2ClusterBalanceDetailDataGroupByTopic(List<ClusterBalanceReassignPO> reassingns) {
+        Set<Integer> originalBrokerIdSet = new HashSet<>();
+        Set<Integer> reassignBrokerIdSet = new HashSet<>();
+
+        // 分区的信息
+        List<ClusterBalanceDetailDataGroupByPartition> partitionDetailList = new ArrayList<>();
+        for (ClusterBalanceReassignPO reassignPO : reassingns) {
+            ClusterBalanceDetailDataGroupByPartition detail = new ClusterBalanceDetailDataGroupByPartition();
+            detail.setPartitionId(reassignPO.getPartitionId());
+            detail.setClusterPhyId(reassignPO.getClusterId());
+            detail.setTopicName(reassignPO.getTopicName());
+            detail.setOriginalBrokerIdList(CommonUtils.string2IntList(reassignPO.getOriginalBrokerIds()));
+            detail.setReassignBrokerIdList(CommonUtils.string2IntList(reassignPO.getReassignBrokerIds()));
+            detail.setStatus(reassignPO.getStatus());
+
+            ClusterBalanceReassignExtendData extendData = ConvertUtil.str2ObjByJson(reassignPO.getExtendData(), ClusterBalanceReassignExtendData.class);
+            if (extendData != null) {
+                detail.setNeedReassignLogSizeUnitB(extendData.getNeedReassignLogSizeUnitB());
+                detail.setFinishedReassignLogSizeUnitB(extendData.getFinishedReassignLogSizeUnitB());
+                detail.setRemainTimeUnitMs(extendData.getRemainTimeUnitMs());
+                detail.setPresentReplicaNum(extendData.getOriginReplicaNum());
+                detail.setNewReplicaNum(extendData.getReassignReplicaNum());
+                detail.setOriginalRetentionTimeUnitMs(extendData.getOriginalRetentionTimeUnitMs());
+                detail.setReassignRetentionTimeUnitMs(extendData.getReassignRetentionTimeUnitMs());
+            }
+
+            originalBrokerIdSet.addAll(detail.getOriginalBrokerIdList());
+            reassignBrokerIdSet.addAll(detail.getReassignBrokerIdList());
+            partitionDetailList.add(detail);
+        }
+        // Topic的详细信息
+        ClusterBalanceDetailDataGroupByTopic topicDetail = new ClusterBalanceDetailDataGroupByTopic();
+        topicDetail.setPartitionIdList(partitionDetailList.stream().map(elem -> elem.getPartitionId()).collect(Collectors.toList()));
+        topicDetail.setReassignPartitionDetailsList(partitionDetailList);
+        topicDetail.setClusterPhyId(reassingns.get(0).getClusterId());
+        topicDetail.setTopicName(reassingns.get(0).getTopicName());
+
+        topicDetail.setOriginalBrokerIdList(new ArrayList<>(originalBrokerIdSet));
+        topicDetail.setReassignBrokerIdList(new ArrayList<>(reassignBrokerIdSet));
+
+        List<Long> needSizeList = partitionDetailList
+                .stream()
+                .filter(elem -> elem.getNeedReassignLogSizeUnitB() != null)
+                .map(item -> item.getNeedReassignLogSizeUnitB()).collect(Collectors.toList());
+        topicDetail.setNeedReassignLogSizeUnitB(needSizeList.isEmpty()? null: needSizeList.stream().reduce(Long::sum).get());
+
+        List<Long> finishedSizeList = partitionDetailList
+                .stream()
+                .filter(elem -> elem.getFinishedReassignLogSizeUnitB() != null)
+                .map(item -> item.getFinishedReassignLogSizeUnitB()).collect(Collectors.toList());
+        topicDetail.setFinishedReassignLogSizeUnitB(finishedSizeList.isEmpty()? null: finishedSizeList.stream().reduce(Long::sum).get());
+
+        List<Long> remainList = partitionDetailList
+                .stream()
+                .filter(elem -> elem.getRemainTimeUnitMs() != null)
+                .map(item -> item.getRemainTimeUnitMs()).collect(Collectors.toList());
+        topicDetail.setRemainTimeUnitMs(remainList.isEmpty()? null: remainList.stream().reduce(Long::max).get());
+
+        topicDetail.setPresentReplicaNum(partitionDetailList.get(0).getPresentReplicaNum());
+        topicDetail.setNewReplicaNum(partitionDetailList.get(0).getNewReplicaNum());
+        topicDetail.setOriginalRetentionTimeUnitMs(partitionDetailList.get(0).getOriginalRetentionTimeUnitMs());
+        topicDetail.setReassignRetentionTimeUnitMs(partitionDetailList.get(0).getReassignRetentionTimeUnitMs());
+
+        topicDetail.setStatus(
+                new JobStatus(
+                        partitionDetailList.stream().map(elem -> elem.getStatus()).collect(Collectors.toList())
+                ).getStatus()
+        );
+
+        return topicDetail;
+    }
+
+    public static List<SubJobPartitionDetailVO> convert2SubJobPartitionDetailVOList(ClusterBalanceDetailDataGroupByTopic detailDataGroupByTopic) {
+        List<SubJobPartitionDetailVO> voList = new ArrayList<>();
+        for (ClusterBalanceDetailDataGroupByPartition groupByPartition: detailDataGroupByTopic.getReassignPartitionDetailsList()) {
+            SubJobPartitionDetailVO vo = new SubJobPartitionDetailVO();
+            vo.setPartitionId(groupByPartition.getPartitionId());
+            vo.setSourceBrokerIds(groupByPartition.getOriginalBrokerIdList());
+            vo.setDesBrokerIds(groupByPartition.getReassignBrokerIdList());
+            vo.setTotalSize(groupByPartition.getNeedReassignLogSizeUnitB() != null ? groupByPartition.getNeedReassignLogSizeUnitB().doubleValue(): null);
+            vo.setMovedSize(groupByPartition.getFinishedReassignLogSizeUnitB() != null ? groupByPartition.getFinishedReassignLogSizeUnitB().doubleValue(): null);
+            vo.setStatus(groupByPartition.getStatus());
+            vo.setRemainTime(groupByPartition.getRemainTimeUnitMs());
+
+            voList.add(vo);
+        }
+
+        return voList;
+    }
+
+    private static List<SubJobReplicaMoveDetail> convert2SubJobReplicaMoveDetailList(List<ClusterBalanceDetailDataGroupByTopic> reassignTopicDetailsList) {
+        List<SubJobReplicaMoveDetail> detailList = new ArrayList<>();
+
+        for (ClusterBalanceDetailDataGroupByTopic detailDataGroupByTopic: reassignTopicDetailsList) {
+            SubJobReplicaMoveDetail detail = new SubJobReplicaMoveDetail();
+            detail.setTopicName(detailDataGroupByTopic.getTopicName());
+            detail.setPartitions(detailDataGroupByTopic.getPartitionIdList());
+            detail.setCurrentTimeSpent(detailDataGroupByTopic.getOriginalRetentionTimeUnitMs());
+            detail.setMoveTimeSpent(detailDataGroupByTopic.getReassignRetentionTimeUnitMs());
+            detail.setSourceBrokers(detailDataGroupByTopic.getOriginalBrokerIdList());
+            detail.setDesBrokers(detailDataGroupByTopic.getReassignBrokerIdList());
+            detail.setStatus(detailDataGroupByTopic.getStatus());
+            if (detailDataGroupByTopic.getNeedReassignLogSizeUnitB() != null) {
+                detail.setTotalSize(detailDataGroupByTopic.getNeedReassignLogSizeUnitB().doubleValue());
+            }
+            if (detailDataGroupByTopic.getFinishedReassignLogSizeUnitB() != null) {
+                detail.setMovedSize(detailDataGroupByTopic.getFinishedReassignLogSizeUnitB().doubleValue());
+            }
+            JobStatus jobStatus = new JobStatus(detailDataGroupByTopic.getReassignPartitionDetailsList().stream().map(elem -> elem.getStatus()).collect(Collectors.toList()));            detail.setTotal(jobStatus.getTotal());
+            detail.setSuccess(jobStatus.getSuccess());
+            detail.setFail(jobStatus.getFailed());
+            detail.setDoing(jobStatus.getDoing());
+            detail.setRemainTime(detailDataGroupByTopic.getRemainTimeUnitMs());
+            detailList.add(detail);
+        }
+
+        return detailList;
+    }
+
+    public static List<ReplaceReassignSub> convert2ReplaceReassignSubList(List<ClusterBalanceReassignPO> reassignPOList) {
+        List<ReplaceReassignSub> voList = new ArrayList<>();
+        for (ClusterBalanceReassignPO reassignPO: reassignPOList) {
+            voList.add(convert2ReplaceReassignSub(reassignPO));
+        }
+        return voList;
+    }
+
+    public static ReplaceReassignSub convert2ReplaceReassignSub(ClusterBalanceReassignPO reassignPO) {
+        ReplaceReassignSub reassignSub = new ReplaceReassignSub();
+        reassignSub.setClusterPhyId(reassignPO.getClusterId());
+        reassignSub.setOriginalBrokerIdList(CommonUtils.string2IntList(reassignPO.getOriginalBrokerIds()));
+        reassignSub.setReassignBrokerIdList(CommonUtils.string2IntList(reassignPO.getReassignBrokerIds()));
+        reassignSub.setPartitionId(reassignPO.getPartitionId());
+        reassignSub.setTopicName(reassignPO.getTopicName());
+        return reassignSub;
+    }
+
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/enums/ClusterBalanceStateEnum.java

@@ -0,0 +1,31 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.enums;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import lombok.Getter;
+
+/**
+ * 集群平衡状态
+ * @author zengqiao
+ * @date 22/03/08
+ */
+@Getter
+@EnterpriseLoadReBalance
+public enum ClusterBalanceStateEnum {
+    BELOW_BALANCE(-1, "低于均衡范围"),
+
+    BALANCE(0, "均衡范围内"),
+
+    ABOVE_BALANCE(1, "高于均衡范围"),
+
+    UNBALANCED(2, "不均衡"),
+    ;
+
+    private final Integer state;
+
+    private final String message;
+
+    ClusterBalanceStateEnum(int state, String message) {
+        this.state = state;
+        this.message = message;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/enums/ClusterBalanceTypeEnum.java

@@ -0,0 +1,28 @@
+package com.xiaojukeji.know.streaming.km.rebalance.common.enums;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import lombok.Getter;
+
+/**
+ * 集群平衡任务类型
+ * @author zengqiao
+ * @date 22/03/08
+ */
+@Getter
+@EnterpriseLoadReBalance
+public enum ClusterBalanceTypeEnum {
+
+    IMMEDIATELY(1, "立即"),
+
+    CYCLE(2, "周期"),
+    ;
+
+    private final int type;
+
+    private final String message;
+
+    ClusterBalanceTypeEnum(int type, String message) {
+        this.type = type;
+        this.message = message;
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/common/package-info.java

@@ -0,0 +1,9 @@
+/**
+ * Load-reBalance相关功能模块
+ * km-extends/km-rebalance 模块，是依据指标生成迁移 plan 的模块，是底层的一个基础功能
+ * 当前 package 模块是依据产品的要求，依赖 km-extends/km-rebalance 模块，构建产品实际使用功能
+ */
+@EnterpriseLoadReBalance
+package com.xiaojukeji.know.streaming.km.rebalance.common;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/core/job/ClusterBalanceJobHandler.java

@@ -0,0 +1,355 @@
+package com.xiaojukeji.know.streaming.km.rebalance.core.job;
+
+import com.didiglobal.logi.log.ILog;
+import com.didiglobal.logi.log.LogFactory;
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.broker.Broker;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.broker.BrokerSpec;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.cluster.ClusterPhy;
+import com.xiaojukeji.know.streaming.km.core.service.config.KSConfigUtils;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.ClusterBalanceReassignDetail;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.detail.ClusterBalanceDetailDataGroupByTopic;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.job.Job;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.job.JobStatus;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.entity.job.content.JobClusterBalanceContent;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.job.detail.JobDetail;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.job.detail.JobModifyDetail;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.result.Result;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.result.ResultStatus;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.topic.Topic;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.po.ClusterBalanceJobPO;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.po.ClusterBalanceReassignPO;
+import com.xiaojukeji.know.streaming.km.common.bean.po.job.JobPO;
+import com.xiaojukeji.know.streaming.km.common.bean.vo.job.sub.SubJobPartitionDetailVO;
+import com.xiaojukeji.know.streaming.km.common.constant.Constant;
+import com.xiaojukeji.know.streaming.km.common.constant.JobConstant;
+import com.xiaojukeji.know.streaming.km.common.constant.MsgConstant;
+import com.xiaojukeji.know.streaming.km.rebalance.common.converter.ClusterBalanceConverter;
+import com.xiaojukeji.know.streaming.km.rebalance.common.converter.ClusterBalanceReassignConverter;
+import com.xiaojukeji.know.streaming.km.common.enums.job.JobActionEnum;
+import com.xiaojukeji.know.streaming.km.common.enums.job.JobTypeEnum;
+import com.xiaojukeji.know.streaming.km.common.utils.ConvertUtil;
+import com.xiaojukeji.know.streaming.km.core.service.broker.BrokerService;
+import com.xiaojukeji.know.streaming.km.core.service.broker.BrokerSpecService;
+import com.xiaojukeji.know.streaming.km.core.service.cluster.ClusterPhyService;
+import com.xiaojukeji.know.streaming.km.core.service.job.JobHandler;
+import com.xiaojukeji.know.streaming.km.core.service.topic.TopicService;
+import com.xiaojukeji.know.streaming.km.persistence.mysql.job.JobDAO;
+import com.xiaojukeji.know.streaming.km.persistence.kafka.zookeeper.service.KafkaZKDAO;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.ExecutionRebalance;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.BalanceParameter;
+import com.xiaojukeji.know.streaming.km.rebalance.algorithm.executor.common.OptimizerResult;
+import com.xiaojukeji.know.streaming.km.rebalance.core.service.ClusterBalanceJobService;
+import com.xiaojukeji.know.streaming.km.rebalance.core.service.ClusterBalanceReassignService;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.stereotype.Component;
+import org.springframework.transaction.annotation.Transactional;
+import org.springframework.transaction.interceptor.TransactionAspectSupport;
+
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.function.Function;
+import java.util.stream.Collectors;
+
+@EnterpriseLoadReBalance
+@Component(JobConstant.CLUSTER_BALANCE)
+public class ClusterBalanceJobHandler implements JobHandler {
+
+    private static final ILog logger = LogFactory.getLog(ClusterBalanceJobHandler.class);
+
+    @Value("${es.client.address:}")
+    private String                          esAddress;
+
+    @Value("${es.client.pass:}")
+    private String                          esPassword;
+
+    @Autowired
+    private ClusterBalanceJobService clusterBalanceJobService;
+
+    @Autowired
+    private ClusterPhyService clusterPhyService;
+
+    @Autowired
+    private ClusterBalanceReassignService clusterBalanceReassignService;
+
+    @Autowired
+    private KafkaZKDAO kafkaZKDAO;
+
+    @Autowired
+    private JobDAO jobDAO;
+
+    @Autowired
+    private BrokerService brokerService;
+
+    @Autowired
+    private BrokerSpecService brokerSpecService;
+
+    @Autowired
+    private TopicService topicService;
+
+    @Autowired
+    private KSConfigUtils ksConfigUtils;
+
+    @Override
+    public JobTypeEnum type() {
+        return JobTypeEnum.CLUSTER_BALANCE;
+    }
+
+    @Override
+    @Transactional
+    public Result<Void> submit(Job job, String operator) {
+        // 获取任务详情信息
+        JobClusterBalanceContent dto = ConvertUtil.str2ObjByJson(job.getJobData(), JobClusterBalanceContent.class);
+        ClusterPhy clusterPhy = clusterPhyService.getClusterByCluster(dto.getClusterId());
+        if (clusterPhy == null){
+            return Result.buildFrom(ResultStatus.CLUSTER_NOT_EXIST);
+        }
+        //获取broke规格信息
+        Map<Integer, BrokerSpec> brokerSpecMap = brokerSpecService.getBrokerSpecMap(clusterPhy.getId());
+        //获取集群所有broker信息
+        List<Broker> brokers = brokerService.listAllBrokersFromDB(clusterPhy.getId());
+        for(Broker broker:brokers){
+            if (brokerSpecMap.get(broker.getBrokerId()) == null){
+                return Result.buildFromRSAndMsg(ResultStatus.BROKER_SPEC_NOT_EXIST,String.format("Broker规格信息不存在:brokerId:%s", broker.getBrokerId()));
+            }
+        }
+
+        //获取任务计划
+        List<String> topicNames = topicService.listRecentUpdateTopicNamesFromDB(dto.getClusterId(), ksConfigUtils.getClusterBalanceIgnoredTopicsTimeSecond());
+        BalanceParameter balanceParameter = ClusterBalanceConverter.convert2BalanceParameter(dto, brokers, brokerSpecMap, clusterPhy, esAddress, esPassword, topicNames);
+        try {
+            ExecutionRebalance executionRebalance = new ExecutionRebalance();
+            OptimizerResult optimizerResult = executionRebalance.optimizations(balanceParameter);
+            Result cRs = checkOptimizerResult(optimizerResult, job.getId());
+            if (cRs.failed()){
+                return cRs;
+            }
+
+            Map<String, Topic> topicMap = topicService.listTopicsFromDB(clusterPhy.getId()).stream().collect(Collectors.toMap(Topic::getTopicName, Function.identity()));
+            List<ClusterBalanceReassignPO> reassignPOS = ClusterBalanceConverter.convert2ListClusterBalanceReassignPO(
+                    optimizerResult.resultTask(), topicMap, job.getId(), clusterPhy.getId());
+
+            String generateReassignmentJson = optimizerResult.resultJsonTask();
+            if (dto.getParallelNum() > 0){
+                //根据执行策略生成迁移json
+                Result<String> jResult = clusterBalanceJobService.generateReassignmentJson(job.getClusterId(),dto.getParallelNum(), dto.getExecutionStrategy(), Constant.NUM_ONE, reassignPOS);
+                if (jResult.failed()){
+                    return Result.buildFromIgnoreData(jResult);
+                }
+                generateReassignmentJson = jResult.getData();
+            }
+
+            //生成平衡job
+            ClusterBalanceJobPO clusterBalanceJobPO = ClusterBalanceConverter.convert2ClusterBalanceJobPO(job.getId(), dto, optimizerResult, brokers, operator, generateReassignmentJson);
+            Result<Void> result = clusterBalanceJobService.createClusterBalanceJob(clusterBalanceJobPO, operator);
+            if (result.failed()){
+                logger.error("method=submit||job={}||errMsg={}!", job, result.getMessage());
+                TransactionAspectSupport.currentTransactionStatus().setRollbackOnly();
+                return result;
+            }
+
+            //生成迁移明细
+            Result<Void> cbrResult = clusterBalanceReassignService.addBatchBalanceReassign(reassignPOS);
+            if (cbrResult.failed()){
+                logger.error("method=submit||job={}||errMsg={}!", job, cbrResult.getMessage());
+                TransactionAspectSupport.currentTransactionStatus().setRollbackOnly();
+                return cbrResult;
+            }
+
+            //更新job执行对象
+            job.setTarget(optimizerResult.resultOverview().getMoveTopics());
+            int count = jobDAO.updateById(ConvertUtil.obj2Obj(job, JobPO.class));
+            if (count < 0){
+                logger.error("method=submit||job={}||errMsg={}!", job, result.getMessage());
+                TransactionAspectSupport.currentTransactionStatus().setRollbackOnly();
+                return Result.buildFrom(ResultStatus.MYSQL_OPERATE_FAILED);
+            }
+
+        }catch (Exception e){
+            logger.error("method=submit||job={}||errMsg=exception", job, e);
+            TransactionAspectSupport.currentTransactionStatus().setRollbackOnly();
+            return Result.buildFailure(e.getMessage());
+        }
+        return Result.buildSuc();
+    }
+
+    @Override
+    @Transactional
+    public Result<Void> delete(Job job, String operator) {
+        //删除balanceJob
+        Result<Void> balanceJobResult = clusterBalanceJobService.deleteByJobId(job.getId(), operator);
+        if (balanceJobResult.failed()){
+            logger.error("method=clusterBalanceJobHandler.delete||job={}||operator:{}||errMsg={}", job, operator, balanceJobResult);
+            TransactionAspectSupport.currentTransactionStatus().setRollbackOnly();
+            return balanceJobResult;
+        }
+        return Result.buildSuc();
+    }
+
+    @Override
+    public Result<Void> modify(Job job, String operator) {
+        ClusterPhy clusterPhy = clusterPhyService.getClusterByCluster(job.getClusterId());
+        if (clusterPhy == null){
+            return Result.buildFrom(ResultStatus.CLUSTER_NOT_EXIST);
+        }
+        Result<ClusterBalanceJobPO> balanceJobPOResult = clusterBalanceJobService.getClusterBalanceJobById(job.getId());
+        if (!balanceJobPOResult.hasData()){
+            return Result.buildFrom(ResultStatus.NOT_EXIST);
+        }
+
+        List<Broker> brokers = brokerService.listAllBrokersFromDB(clusterPhy.getId());
+        Map<Integer, BrokerSpec> brokerSpecMap = brokerSpecService.getBrokerSpecMap(clusterPhy.getId());
+
+        List<String> topicNames = topicService.listRecentUpdateTopicNamesFromDB(job.getClusterId(), ksConfigUtils.getClusterBalanceIgnoredTopicsTimeSecond());
+        JobClusterBalanceContent dto = ConvertUtil.str2ObjByJson(job.getJobData(), JobClusterBalanceContent.class);
+        BalanceParameter balanceParameter = ClusterBalanceConverter.convert2BalanceParameter(dto, brokers, brokerSpecMap, clusterPhy, esAddress, esPassword, topicNames);
+        ExecutionRebalance executionRebalance = new ExecutionRebalance();
+        try {
+            OptimizerResult optimizerResult = executionRebalance.optimizations(balanceParameter);
+            Result cRs = checkOptimizerResult(optimizerResult, job.getId());
+            if (cRs.failed()){
+                return cRs;
+            }
+
+            Map<String, Topic> topicMap = kafkaZKDAO.getAllTopicMetadata(clusterPhy.getId(), false).stream().collect(Collectors.toMap(Topic::getTopicName, Function.identity()));
+            List<ClusterBalanceReassignPO> reassignPOS = ClusterBalanceConverter.convert2ListClusterBalanceReassignPO(optimizerResult.resultTask(),
+                    topicMap, job.getId(), clusterPhy.getId());
+
+            String generateReassignmentJson = optimizerResult.resultJsonTask();
+            if (dto.getParallelNum() > 0){
+                //根据执行策略生成迁移json
+                Result<String> jResult = clusterBalanceJobService.generateReassignmentJson(job.getClusterId(),dto.getParallelNum(), dto.getExecutionStrategy(), Constant.NUM_ONE, reassignPOS);
+                if (jResult.failed()){
+                    return Result.buildFromIgnoreData(jResult);
+                }
+                generateReassignmentJson = jResult.getData();
+            }
+            //生成平衡job
+            ClusterBalanceJobPO clusterBalanceJobPO = ClusterBalanceConverter.convert2ClusterBalanceJobPO(job.getId(), dto ,optimizerResult, brokers, operator, generateReassignmentJson);
+            Result<Void> result = clusterBalanceJobService.modifyClusterBalanceJob(clusterBalanceJobPO, operator);
+            if (result.failed()){
+                return result;
+            }
+
+            //删除原迁移详情，生成新的迁移详情
+            Result<Void> delReassignResult = clusterBalanceReassignService.delete(job.getId(), operator);
+            if (delReassignResult.failed()){
+                TransactionAspectSupport.currentTransactionStatus().setRollbackOnly();
+                return delReassignResult;
+            }
+            Result<Void> cbrResult = clusterBalanceReassignService.addBatchBalanceReassign(reassignPOS);
+            if (cbrResult.failed()){
+                logger.error("method=clusterBalanceJobHandler.submit||job={}||errMsg={}!",
+                        job, cbrResult.getMessage());
+                TransactionAspectSupport.currentTransactionStatus().setRollbackOnly();
+                return cbrResult;
+            }
+        }catch (Exception e){
+            logger.error("method=clusterBalanceJobHandler.modify||job={}||operator:{}||errMsg=exception", job, operator, e);
+            TransactionAspectSupport.currentTransactionStatus().setRollbackOnly();
+            return Result.buildFromRSAndMsg(ResultStatus.KAFKA_OPERATE_FAILED, e.getMessage());
+        }
+        return Result.buildSuc();
+    }
+
+    @Override
+    public Result<Void> updateLimit(Job job, Long limit, String operator) {
+        return clusterBalanceReassignService.modifyThrottle(job.getId(), limit, operator);
+    }
+
+    @Override
+    public Result<Void> process(Job job, JobActionEnum action, String operator) {
+        if (JobActionEnum.START.equals(action)) {
+            return clusterBalanceReassignService.execute(job.getId());
+        }
+
+        if (JobActionEnum.CANCEL.equals(action)) {
+            return clusterBalanceReassignService.cancel(job.getId());
+        }
+
+        // 迁移中，不支持该操作
+        return Result.buildFromRSAndMsg(ResultStatus.OPERATION_FORBIDDEN, String.format("不支持[%s]操作", action.getValue()));
+    }
+
+    @Override
+    public Result<JobStatus> status(Job job) {
+        // Topic下每个分区的状态
+        Map<String, List<ClusterBalanceReassignPO>> topicJobsMap = new HashMap<>();
+
+        // 获取子任务，并按照Topic进行聚合
+        List<ClusterBalanceReassignPO> allSubJobPOList = clusterBalanceReassignService.getBalanceReassignsByJobId(job.getId());
+        allSubJobPOList.forEach(elem -> {
+            topicJobsMap.putIfAbsent(elem.getTopicName(), new ArrayList<>());
+            topicJobsMap.get(elem.getTopicName()).add(elem);
+        });
+
+        // 获取每个Topic的状态
+        List<Integer> topicStatusList = new ArrayList<>();
+        for (List<ClusterBalanceReassignPO> topicJobPOList: topicJobsMap.values()) {
+            topicStatusList.add(new JobStatus(
+                    topicJobPOList.stream().map(elem -> elem.getStatus()).collect(Collectors.toList())
+            ).getStatus());
+        }
+
+        // 聚合Topic的结果
+        return Result.buildSuc(new JobStatus(topicStatusList));
+    }
+
+    @Override
+    public Result<JobDetail> getTaskDetail(Job job) {
+        Result<ClusterBalanceReassignDetail> detailResult = clusterBalanceReassignService.getJobDetailsGroupByTopic(job.getId());
+        if (detailResult.failed()) {
+            return Result.buildFromIgnoreData(detailResult);
+        }
+
+        return Result.buildSuc(ClusterBalanceReassignConverter.convert2JobDetail(job, detailResult.getData()));
+    }
+
+    @Override
+    public Result<JobModifyDetail> getTaskModifyDetail(Job job) {
+        // 获取任务详情信息
+        JobClusterBalanceContent dto = ConvertUtil.str2ObjByJson(job.getJobData(), JobClusterBalanceContent.class);
+        if (dto == null) {
+            return Result.buildFromRSAndMsg(ResultStatus.PARAM_ILLEGAL, "jobData格式错误");
+        }
+
+        JobModifyDetail detail = ConvertUtil.obj2Obj(job, JobModifyDetail.class);
+        detail.setJobData(ConvertUtil.obj2Json(dto));
+        return Result.buildSuc(detail);
+    }
+
+    @Override
+    public Result<List<SubJobPartitionDetailVO>> getSubJobPartitionDetail(Job job, String topic) {
+        Result<ClusterBalanceReassignDetail> detailResult = clusterBalanceReassignService.getJobDetailsGroupByTopic(job.getId());
+        if (detailResult.failed()) {
+            return Result.buildFromIgnoreData(detailResult);
+        }
+
+        List<ClusterBalanceDetailDataGroupByTopic> detailDataGroupByTopicList = detailResult.getData().getReassignTopicDetailsList()
+                .stream()
+                .filter(elem -> elem.getTopicName().equals(topic))
+                .collect(Collectors.toList());
+
+        if (detailDataGroupByTopicList.isEmpty()) {
+            return Result.buildFromRSAndMsg(ResultStatus.NOT_EXIST, MsgConstant.getTopicNotExist(job.getClusterId(), topic));
+        }
+
+        return Result.buildSuc(ClusterBalanceReassignConverter.convert2SubJobPartitionDetailVOList(detailDataGroupByTopicList.get(0)));
+    }
+
+
+
+    private Result<Void> checkOptimizerResult(OptimizerResult optimizerResult, Long jobId){
+        if (optimizerResult == null){
+            return Result.buildFrom(ResultStatus.KAFKA_OPERATE_FAILED);
+        }
+        if (optimizerResult.resultOverview().getMoveReplicas() == 0){
+            logger.info("method=checkOptimizerResult||jobId:{}||msg=the cluster has reached equilibrium", jobId);
+            return Result.buildFailure("该集群已达到均衡要求，不需要再执行均衡任务。");
+        }
+        return Result.buildSuc();
+    }
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/core/package-info.java

@@ -0,0 +1,9 @@
+/**
+ * Load-reBalance相关功能模块
+ * km-extends/km-rebalance 模块，是依据指标生成迁移 plan 的模块，是底层的一个基础功能
+ * 当前 package 模块是依据产品的要求，依赖 km-extends/km-rebalance 模块，构建产品实际使用功能
+ */
+@EnterpriseLoadReBalance
+package com.xiaojukeji.know.streaming.km.rebalance.core;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/core/service/ClusterBalanceJobConfigService.java

@@ -0,0 +1,23 @@
+package com.xiaojukeji.know.streaming.km.rebalance.core.service;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.result.Result;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.po.ClusterBalanceJobConfigPO;
+
+@EnterpriseLoadReBalance
+public interface ClusterBalanceJobConfigService {
+
+    /**
+     * 新增平衡配置
+     * @param clusterBalanceJobConfigPO
+     * @return
+     */
+    Result<Void> replaceClusterBalanceJobConfigByClusterId(ClusterBalanceJobConfigPO clusterBalanceJobConfigPO);
+
+    /**
+     *
+     * @param clusterId
+     * @return
+     */
+    Result<ClusterBalanceJobConfigPO> getByClusterId(Long clusterId);
+}

km-enterprise/km-rebalance/src/main/java/com/xiaojukeji/know/streaming/km/rebalance/core/service/ClusterBalanceJobService.java

@@ -0,0 +1,93 @@
+package com.xiaojukeji.know.streaming.km.rebalance.core.service;
+
+import com.xiaojukeji.know.streaming.km.common.annotations.enterprise.EnterpriseLoadReBalance;
+import com.xiaojukeji.know.streaming.km.common.bean.dto.pagination.PaginationBaseDTO;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.result.PaginationResult;
+import com.xiaojukeji.know.streaming.km.common.bean.entity.result.Result;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.po.ClusterBalanceJobPO;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.po.ClusterBalanceReassignPO;
+import com.xiaojukeji.know.streaming.km.rebalance.common.bean.vo.ClusterBalanceHistoryVO;
+
+import java.util.List;
+import java.util.Map;
+
+@EnterpriseLoadReBalance
+public interface ClusterBalanceJobService {
+    /**
+     *
+     * @param jobId jobId
+     * @return
+     */
+    Result<Void> deleteByJobId(Long jobId, String operator);
+
+    /**
+     *
+     * @param clusterBalanceJobPO
+     * @return
+     */
+    Result<Void> createClusterBalanceJob(ClusterBalanceJobPO clusterBalanceJobPO, String operator);
+
+    /**
+     *
+     * @param clusterBalanceJobPO
+     * @return
+     */
+    Result<Void> modifyClusterBalanceJob(ClusterBalanceJobPO clusterBalanceJobPO, String operator);
+
+    /**
+     *
+     * @param id id
+     * @return
+     */
+    Result<ClusterBalanceJobPO> getClusterBalanceJobById(Long id);
+
+    /**
+     *
+     * @param clusterPhyId
+     * @return
+     */
+    ClusterBalanceJobPO getLastOneByClusterId(Long clusterPhyId);
+
+    /**
+     *
+     * @param clusterPhyId
+     * @return
+     */
+    Map<String, Double> getBalanceInterval(Long clusterPhyId);
+
+    /**
+     *
+     * @param clusterPhyId
+     * @return
+     */
+    PaginationResult<ClusterBalanceHistoryVO> page(Long clusterPhyId, PaginationBaseDTO dto);
+
+    /**
+     * 依据任务状态或者其中一个任务ID
+     */
+    Long getOneRunningJob(Long clusterPhyId);
+
+    /**
+     * 检查平衡任务
+     */
+    Result<Void> verifyClusterBalanceAndUpdateStatue(Long jobId);
+
+    /**
+     * 根据jobId生成迁移json
+     * @param parallelNum 并行数
+     * @param clusterId 集群id
+     * @param executionStrategy 执行策略
+     * @param reassignPOList 迁移任务详情
+     * @return
+     */
+    Result<String> generateReassignmentJson(Long clusterId, Integer parallelNum, Integer jsonVersion, Integer executionStrategy, List<ClusterBalanceReassignPO> reassignPOList);
+
+    /**
+     * 根据迁移策略更新迁移任务
+     * @param jobId jobId
+     * @param clusterPhyId 集群id
+     * @return
+     */
+    Result<Void> generateReassignmentForStrategy(Long clusterPhyId, Long jobId);
+
+}