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[Optimize]Topic-Partitions增加主动超时功能 (#1076)

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问题：
leader=-1的分区获取offset信息时，耗时时间过久会导致前端超时，进而整个页面的数据都获取不到；

解决：
后端主动在前端超时前，对一些请求进行超时，避免导致所有的信息都没有返回给前端；
This commit is contained in:
EricZeng
2023-07-04 14:18:12 +08:00
committed by GitHub
parent 49e7fea6d3
commit abaadfb9a8
4 changed files with 42 additions and 29 deletions
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7
km-biz/src/main/java/com/xiaojukeji/know/streaming/km/biz/connect/mm2/impl/MirrorMakerManagerImpl.java
View File

@@ -48,6 +48,7 @@ import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.util.*;
import java.util.concurrent.ConcurrentHashMap;
import java.util.function.Function;
import java.util.stream.Collectors;
@@ -597,7 +598,7 @@ public class MirrorMakerManagerImpl implements MirrorMakerManager {
private List<ClusterMirrorMakerOverviewVO> completeClusterInfo(List<ClusterMirrorMakerOverviewVO> mirrorMakerVOList) {
Map<String, KSConnectorInfo> connectorInfoMap = new HashMap<>();
Map<String, KSConnectorInfo> connectorInfoMap = new ConcurrentHashMap<>();
for (ClusterMirrorMakerOverviewVO mirrorMakerVO : mirrorMakerVOList) {
ApiCallThreadPoolService.runnableTask(String.format("method=completeClusterInfo||connectClusterId=%d||connectorName=%s||getMirrorMakerInfo", mirrorMakerVO.getConnectClusterId(), mirrorMakerVO.getConnectorName()),
@@ -607,12 +608,10 @@ public class MirrorMakerManagerImpl implements MirrorMakerManager {
if (connectorInfoRet.hasData()) {
connectorInfoMap.put(mirrorMakerVO.getConnectClusterId() + mirrorMakerVO.getConnectorName(), connectorInfoRet.getData());
}
return connectorInfoRet.getData();
});
}
ApiCallThreadPoolService.waitResult(1000);
ApiCallThreadPoolService.waitResult();
List<ClusterMirrorMakerOverviewVO> newMirrorMakerVOList = new ArrayList<>();
for (ClusterMirrorMakerOverviewVO mirrorMakerVO : mirrorMakerVOList) {

44
km-biz/src/main/java/com/xiaojukeji/know/streaming/km/biz/topic/impl/TopicStateManagerImpl.java
View File

@@ -47,6 +47,7 @@ import com.xiaojukeji.know.streaming.km.core.service.topic.TopicConfigService;
import com.xiaojukeji.know.streaming.km.core.service.topic.TopicMetricService;
import com.xiaojukeji.know.streaming.km.core.service.topic.TopicService;
import com.xiaojukeji.know.streaming.km.core.service.version.metrics.kafka.TopicMetricVersionItems;
import com.xiaojukeji.know.streaming.km.core.utils.ApiCallThreadPoolService;
import org.apache.kafka.clients.consumer.*;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.config.TopicConfig;
@@ -60,7 +61,7 @@ import java.util.stream.Collectors;
@Component
public class TopicStateManagerImpl implements TopicStateManager {
private static final ILog log = LogFactory.getLog(TopicStateManagerImpl.class);
private static final ILog LOGGER = LogFactory.getLog(TopicStateManagerImpl.class);
@Autowired
private TopicService topicService;
@@ -232,26 +233,37 @@ public class TopicStateManagerImpl implements TopicStateManager {
@Override
public Result<List<TopicPartitionVO>> getTopicPartitions(Long clusterPhyId, String topicName, List<String> metricsNames) {
long startTime = System.currentTimeMillis();
List<Partition> partitionList = partitionService.listPartitionByTopic(clusterPhyId, topicName);
if (ValidateUtils.isEmptyList(partitionList)) {
return Result.buildSuc();
}
Result<List<PartitionMetrics>> metricsResult = partitionMetricService.collectPartitionsMetricsFromKafka(clusterPhyId, topicName, metricsNames);
if (metricsResult.failed()) {
// 仅打印错误日志，但是不直接返回错误
log.error(
"method=getTopicPartitions||clusterPhyId={}||topicName={}||result={}||msg=get metrics from es failed",
clusterPhyId, topicName, metricsResult
);
}
// 转map
Map<Integer, PartitionMetrics> metricsMap = new HashMap<>();
if (metricsResult.hasData()) {
for (PartitionMetrics metrics: metricsResult.getData()) {
metricsMap.put(metrics.getPartitionId(), metrics);
}
ApiCallThreadPoolService.runnableTask(
String.format("clusterPhyId=%d||topicName=%s||method=getTopicPartitions", clusterPhyId, topicName),
ksConfigUtils.getApiCallLeftTimeUnitMs(System.currentTimeMillis() - startTime),
() -> {
Result<List<PartitionMetrics>> metricsResult = partitionMetricService.collectPartitionsMetricsFromKafka(clusterPhyId, topicName, metricsNames);
if (metricsResult.failed()) {
// 仅打印错误日志，但是不直接返回错误
LOGGER.error(
"method=getTopicPartitions||clusterPhyId={}||topicName={}||result={}||msg=get metrics from kafka failed",
clusterPhyId, topicName, metricsResult
);
}
for (PartitionMetrics metrics: metricsResult.getData()) {
metricsMap.put(metrics.getPartitionId(), metrics);
}
}
);
boolean finished = ApiCallThreadPoolService.waitResultAndReturnFinished(1);
if (!finished && metricsMap.isEmpty()) {
// 未完成 -> 打印日志
LOGGER.error("method=getTopicPartitions||clusterPhyId={}||topicName={}||msg=get metrics from kafka failed", clusterPhyId, topicName);
}
List<TopicPartitionVO> voList = new ArrayList<>();
@@ -423,7 +435,7 @@ public class TopicStateManagerImpl implements TopicStateManager {
return voList;
} catch (Exception e) {
log.error("method=getTopicMessages||clusterPhyId={}||topicName={}||param={}||errMsg=exception", clusterPhy.getId(), topicName, dto, e);
LOGGER.error("method=getTopicMessages||clusterPhyId={}||topicName={}||param={}||errMsg=exception", clusterPhy.getId(), topicName, dto, e);
throw new AdminOperateException(e.getMessage(), e, ResultStatus.KAFKA_OPERATE_FAILED);
}