Flink Standalone HA搭建指南
基本环境
集群主机 | IP |
---|---|
host147 | 10.1.0.147 |
host148 | 10.1.0.148 |
host149 | 10.1.0.149 |
配置域名映射
vim /etc/hosts
10.1.0.147 host147
10.1.0.148 host148
10.1.0.149 host149
下载Flink安装包,将其放到/data目录下,并解压
mkdir /data && cd /data
wget http://192.168.1.3:11180/downloads/flink-1.13.5-bin-scala_2.12.tgz
tar zxvf flink-1.13.5-bin-scala_2.12.tgz
cd flink-1.13.5-bin
使用flink内置zk启动zk集群
选定上述三个节点作为安装zk集群的节点。
在conf/flink-conf.yaml中设置java信息,新增如下配置
java.home: xxx
新建目录
mkdir /data/flink-1.13.5/zookeeper
修改配置文件conf/zoo.cfg
# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial synchronization phase can take
initLimit=10
# The number of ticks that can pass between sending a request and getting an acknowledgement
syncLimit=5
# The directory where the snapshot is stored.
dataDir=/data/flink-1.13.5/zookeeper
# The port at which the clients will connect
clientPort=2181
# ZooKeeper quorum peers
server.1=host147:2888:3888
server.2=host148:2888:3888
server.3=host149:2888:3888
进入host147主机的/data/flink-1.13.5/zookeeper目录,新建文件myid,并填入1
进入host148主机的/data/flink-1.13.5/zookeeper目录,新建文件myid,并填入2
进入host149主机的/data/flink-1.13.5/zookeeper目录,新建文件myid,并填入3
启动zookeeper集群
在host147中执行:/data/flink-1.13.5/bin/zookeeper.sh start 1
在host148中执行:/data/flink-1.13.5/bin/zookeeper.sh start 2
在host149中执行:/data/flink-1.13.5/bin/zookeeper.sh start 3
至此zookeeper高可用集群搭建完成
启动Flink高可用集群
由于不想用hdfs,本文以minio对象存储作为checkpoints和高可用存储路径。可参考文章:分布式minio搭建指南了解如何搭建minio集群。
修改Flink配置conf/flink-conf.yaml
(下述配置每台主机都一样)
配置minio访问信息
s3.endpoint: http://minio:9000
s3.path.style.access: true
s3.access.key: xxxxxxxxxxxxx
s3.secret.key: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
配置高可用信息
high-availability: zookeeper
high-availability.storageDir: s3://flink/ha
high-availability.zookeeper.quorum: host147:2181,host148:2181,host149:2181
high-availability.zookeeper.path.root: /flink
high-availability.cluster-id: /cluster_one
设置checkpoint信息
state.checkpoints.dir: s3://flink/chk
state.savepoints.dir: s3://flink/chk
state.backend.incremental: true
state.backend: rocksdb
execution.checkpointing.interval: 15000ms
在host147节点conf/flink-conf.yaml配置文件中,修改
jobmanager.rpc.address:host147
在host148节点conf/flink-conf.yaml配置文件中,修改
jobmanager.rpc.address:host148
将opt/flink-s3-fs-hadoop-1.13.5.jar复制到lib/目录中
host147节点启动jobmanager
bin/jobmanager.sh start
host148节点启动jobmanager
bin/jobmanager.sh start
host147、host148、host149节点启动taskmanager
bin/taskmanager.sh start
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