docker-compose部署Flink及Dinky

服务器环境：centos7

1. 配置hosts

shell 复制代码

vim /etc/hosts

x.x.x.x jobmanager
x.x.x.x taskmanager
x.x.x.x dinky-mysql

2. 文件目录结构

shell 复制代码

.
├── conf
│   ├── JobManager
│   │   ├── flink-conf.yaml
│   │   ├── log4j-cli.properties
│   │   ├── log4j-console.properties
│   │   ├── log4j.properties
│   │   ├── log4j-session.properties
│   │   ├── logback-console.xml
│   │   ├── logback-session.xml
│   │   ├── logback.xml
│   │   ├── masters
│   │   ├── workers
│   │   └── zoo.cfg
│   └── TaskManager
│       ├── flink-conf.yaml
│       ├── log4j-cli.properties
│       ├── log4j-console.properties
│       ├── log4j.properties
│       ├── log4j-session.properties
│       ├── logback-console.xml
│       ├── logback-session.xml
│       ├── logback.xml
│       ├── masters
│       ├── workers
│       └── zoo.cfg
├── dinky
│   ├── config
│   │   └── application.yml
│   └── lib
├── dinky-mysql
│   ├── conf
│   │   └── my.cnf
│   └── data
├── docker-compose-flink-dinky.yml
├── jar
├── plugins
└── sql

说明：

(建议第一次启动容器时不映射配置文件及lib包路径，将默认的配置文件和lib包复制到宿主机后，第二次启动时再映射配置文件及lib包路径，方便后期功能扩展)

flink/conf/JobManager/flink-conf.yaml - flink JobManager的配置文件
flink/conf/TaskManager/flink-conf.yaml - flink TaskManager的配置文件
flink/jar/ - JobManager和TaskManager的依赖包，映射容器内的/opt/flink/lib/ 目录。
flink/dinky/config/application.yml - dinky的配置文件，可以配置连接的mysql库
flink/dinky/lib/ - dinky的依赖包，映射容器内的/opt/dinky/lib/ 目录。
flink/dinky-mysql/conf/my.cnf - dinky-mysql的配置文件，需配置 max_allowed_packet=1073741824，否则导入数据会失败。
flink/dinky-mysql/data/ - dinky-mysql的数据映射目录

3. 创建容器

docker-compose-flink-dinky.yml

shell 复制代码

version: '3'
services:
  jobmanager:
    image: flink:1.14.0-scala_2.12-java8
    container_name: jobmanager
    hostname: jobmanager
    expose: 
      - "6123"
    ports:
      - "48081:8081" # Flink Web UI
      - "6123:6123" # JobManager RPC
      - "6124:6124" # JobManager REST
      - "8082:8082" # Metrics
      - "6125:6125" # Blob Server
    command: jobmanager
    networks: 
      - flink-net
    restart: always
    volumes:
      - /opt/flink/conf/JobManager/:/opt/flink/conf/ #第一次启动不映射，将conf复制到宿主机后，第二次启动再映射
      - /opt/flink/jar/:/opt/flink/lib/ #第一次启动不映射，将lib复制到宿主机后，第二次启动再映射
      - /opt/flink/plugins/:/opt/flink/plugins/
      - /opt/flink/sql/:/opt/flink/sql/

  taskmanager:
    image: flink:1.14.0-scala_2.12-java8
    container_name: taskmanager
    hostname: taskmanager
    depends_on:
      - jobmanager
    scale: 1 # 可以根据需要增加 TaskManagers 的数量
    command: taskmanager
    networks:
      - flink-net
    restart: always
    environment:
      - JOB_MANAGER_RPC_ADDRESS=jobmanager
    volumes:
      - /opt/flink/conf/TaskManager/:/opt/flink/conf/ #第一次启动不映射，将conf复制到宿主机后，第二次启动再映射
      - /opt/flink/jar/:/opt/flink/lib/ #第一次启动不映射，将lib复制到宿主机后，第二次启动再映射
      - /opt/flink/plugins/:/opt/flink/plugins/
      - /opt/flink/sql/:/opt/flink/sql/

  dinky:
    image: dinkydocker/dinky-standalone-server:0.7.0-flink14
    container_name: dinky
    hostname: dinky
    ports:
      - "38081:8081"
      - "38888:8888"
    networks:
      - flink-net
    restart: always
    environment:
      - SPRING_PROFILES_ACTIVE=prod
      - MYSQL_HOST=dinky-mysql
      - MYSQL_PORT=33306
      - MYSQL_DATABASE=dlink
      - MYSQL_USERNAME=dlink
      - MYSQL_PASSWORD=dlink
    depends_on:
      - dinky-mysql
    volumes:
      - /opt/flink/dinky/config/application.yml:/opt/dinky/config/application.yml #第一次启动不映射，将application.yml复制到宿主机后，第二次启动再映射
      - /opt/flink/dinky/lib/:/opt/dinky/lib/ #第一次启动不映射，将lib复制到宿主机后，第二次启动再映射

  dinky-mysql: 
    image: dinkydocker/dinky-mysql-server:0.7.0
    container_name: dinky-mysql
    hostname: dinky-mysql
    ports:
      - "33306:3306"
    networks:
      - flink-net
    restart: always
    environment:
      - MYSQL_ROOT_PASSWORD=dlink
      - MYSQL_DATABASE=dlink
    volumes:
      - /opt/flink/dinky-mysql/data/:/var/lib/mysql/
      - /opt/flink/dinky-mysql/conf/:/etc/mysql/conf.d/

networks:
  flink-net:
    driver: bridge

创建容器
shell 复制代码
```
docker-compose -f docker-compose-flink-dinky.yml up -d
```
如果创建容器时，报错 iptables: No chain/target/match by that name. 需开启防火墙(systemctl start firewalld)
查看容器状态

如果容器都是up状态，但是web页面访问不到，注意一下两点：
1. 防火墙是否关闭，或开放指定端口
2. 进入docker 容器的logs目录下查看日志

4. web访问验证

flink：http://ip:48081/
dinky：http://ip:38888/

用户名/密码：admin/admin

5. Dinky 配置及测试

5.1 配置flink实例

在 dinky --> 注册中心 --> 集群管理 --> Flink实例管理中配置 flink的JobManager地址

5.2 执行sql

在测试数据库创建数据表user_source 和 target_source

在dinky创建sql并执行

sql 复制代码

-- 创建源表映射语句
DROP TABLE if exists user_source_1;
CREATE TABLE  IF NOT EXISTS user_source_1 (
  `id` STRING,
  `name` STRING,
  `age` INT
) WITH (
  'connector' = 'jdbc',
  'url' = 'jdbc:mysql://ip:3306/test_database?characterEncoding=UTF-8&allowMultiQueries=true&useUnicode=true&useSSL=false&serverTimezone=Asia/Shanghai&autoReconnect=true',
  'table-name' = 'user_source',
  'username' = 'root',
  'password' = '123456'
);

-- 创建目标表映射语句
DROP TABLE if exists user_target_1;
CREATE TABLE  IF NOT EXISTS user_target_1 (
  `id` STRING,
  `name` STRING,
  `age` INT
) WITH (
  'connector' = 'jdbc',
  'url' = 'jdbc:mysql://ip:3306/test_database?characterEncoding=UTF-8&allowMultiQueries=true&useUnicode=true&useSSL=false&serverTimezone=Asia/Shanghai&autoReconnect=true',
  'table-name' = 'user_target',
  'username' = 'root',
  'password' = '123456'
);

-- 同步数据语句
insert into user_target_1 select * from user_source_1;

配置执行模式，并执行sql。执行完成后在flink管理页面也可以看到执行的sql任务

如果在执行sql过程中有下面报错，是因为缺少对应的jar包，需要将包传入dinky的lib目录

shell 复制代码

Caused by: org.apache.flink.table.api.ValidationException: Cannot discover a connector using option: 'connector'='jdbc'
at org.apache.flink.table.factories.FactoryUtil.enrichNoMatchingConnectorError(FactoryUtil.java:587)
at org.apache.flink.table.factories.FactoryUtil.getDynamicTableFactory(FactoryUtil.java:561)
at org.apache.flink.table.factories.FactoryUtil.createTableSource(FactoryUtil.java:146)
... 112 more
Caused by: org.apache.flink.table.api.ValidationException: Could not find any factory for identifier 'jdbc' that implements 'org.apache.flink.table.factories.DynamicTableFactory' in the classpath.
Available factory identifiers are:
blackhole
datagen
filesystem
print
at org.apache.flink.table.factories.FactoryUtil.discoverFactory(FactoryUtil.java:399)
at org.apache.flink.table.factories.FactoryUtil.enrichNoMatchingConnectorError(FactoryUtil.java:583)
... 114 more