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v2.1版本更新

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zengqiao
2020-12-19 00:27:16 +08:00
parent 3fea5c9c8c
commit 49280a8617
75 changed files with 1098 additions and 148 deletions
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12
kafka-manager-extends/kafka-manager-kcm/src/main/resources/kcm_script.sh
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@@ -19,12 +19,13 @@ p_kafka_server_properties_md5=${8} #server配置MD5
p_kafka_server_properties_url=${9} #server配置文件下载地址
#----------------------------------------配置信息------------------------------------------------------#
g_hostname=`hostname`
g_base_dir='/home/km'
g_base_dir='/home'
g_cluster_task_dir=${g_base_dir}"/kafka_cluster_task/task_${p_task_id}" #部署升级路径
g_rollback_version=${g_cluster_task_dir}"/rollback_version" #回滚版本
g_new_kafka_package_name='' #最终的包名
g_kafka_manager_addr='' #kafka-manager地址
g_local_ip=`ifconfig -a|grep inet|grep -v 127.0.0.1|grep -v inet6|awk '{print $2}'|tr -d "addr:"`
g_hostname=${g_local_ip}
#----------------------------------------操作函数------------------------------------------------------#
@@ -71,11 +72,11 @@ function check_and_init_env() {
# 检查并等待集群所有的副本处于同步的状态
function check_and_wait_broker_stabled() {
under_replication_count=`curl -s -G -d "hostname="#{g_hostname} ${g_kafka_manager_addr}/api/v1/third-part/${p_cluster_id}/broker-stabled | python -m json.tool | grep true |wc -l`
under_replication_count=`curl -s -G -d "hostname="${g_hostname} ${g_kafka_manager_addr}/api/v1/third-part/${p_cluster_id}/broker-stabled | python -m json.tool | grep true |wc -l`
while [ "$under_replication_count" -ne 1 ]; do
ECHO_LOG "存在${under_replication_count}个副本未同步, sleep 10s"
sleep 10
under_replication_count=`curl -s ${g_kafka_manager_addr}/api/v1/${p_cluster_id}/overview | python -m json.tool | grep false |wc -l`
under_replication_count=`curl -s -G -d "hostname="${g_hostname} ${g_kafka_manager_addr}/api/v1/third-part/${p_cluster_id}/broker-stabled | python -m json.tool | grep true |wc -l`
done
ECHO_LOG "集群副本都已经处于同步的状态, 可以进行集群升级"
}
@@ -137,6 +138,9 @@ function prepare_cluster_task_files() {
exit 1
fi
# listeners配置，换成当前机器的IP，写到server.properties最后一行
echo "listeners=SASL_PLAINTEXT://${g_local_ip}:9093,PLAINTEXT://${g_local_ip}:9092" >> "${g_cluster_task_dir}/${p_kafka_package_name}/config/server.properties"
# 将MD5信息写到包中
echo "package_md5:${p_kafka_package_md5} server_properties_md5:${p_kafka_package_md5}" > "${g_cluster_task_dir}/${p_kafka_package_name}/package_and_properties.md5"
}