Seatunnel Docker image镜像制作

• Seatunnel Docker image镜像制作

• • #下载 seatunnel

    • export version="2.3.3"
    • wget "Index of /dist/seatunnel${version}/apache-seatunnel-${version}-bin.tar.gz"
    • tar -xzvf "apache-seatunnel-${version}-bin.tar.gz"

  • #解压

    • tar -xzvf apache-seatunnel-${SEATUNNEL_VERSION}-bin.tar.gz

  • #配置connector, config/plugin_config 根据需要配置，Demo只需要以下两个即可

    • --seatunnel-connectors--
    • connector-fake
    • connector-console
    • --end--

  • #执行插件安装

    • sh bin/install-plugin.sh 2.3.3
    • #执行后，会自动下载maven包到 ~/.m2/wrapper/dists/apache-maven-3.8.4-bin/目录中
    • #连接到 Central Repository:，下载传统比较慢
    • #需要一下镜像，全用本地的setting.xml
      • #:~/.m2/wrapper/dists/apache-maven-3.8.4-bin/52ccbt68d252mdldqsfsn03jlf/apache-maven-3.8.4/conf#
    • #再重新执行 sh bin/install-plugin.sh 2.3.3 使用国内镜像，例如：阿里云，此时就很快了
    • #bin/install-plugin.sh 会将对就的jar包复制到 connectors/seatunnel和lib目录下

  • #修改apache-seatunnel-${version}-bin目录下的配置文件

    • #编写plugin_config文件
      • vi config/plugin_config
        • --seatunnel-connectors--
        • connector-fake
        • connector-console
        • --end--
    • #编写批处理配置文件
      • vi config/v2.batch.config.template

env {
  execution.parallelism = 1
  job.mode = "BATCH"
}

source {
  FakeSource {
    result_table_name = "fake"
    row.num = 16
    schema = {
      fields {
        name = "string"
        age = "int"
      }
    }
  }
}

transform {
  FieldMapper {
    source_table_name = "fake"
    result_table_name = "fake1"
    field_mapper = {
      age = age
      name = new_name
    }
  }
}

sink {
  Console {
    source_table_name = "fake1"
  }
}

• • #下载openjdk:8镜像

    • docker pull openjdk:8

  • #创建Dockerfile

    • vi dockerfile-seatunnel-2.3.3
    • #内容 当前目录下的seatunnel包、lib目录、connectors目录复制到镜像中
      • FROM openjdk:8
      • ENV SEATUNNEL_VERSION="2.3.3"
      • COPY ./apache-seatunnel-${SEATUNNEL_VERSION}-bin.tar.gz /opt/apache-seatunnel-${SEATUNNEL_VERSION}-bin.tar.gz
      • WORKDIR /opt
      • RUN tar -xzvf apache-seatunnel-${SEATUNNEL_VERSION}-bin.tar.gz
      • RUN mv apache-seatunnel-${SEATUNNEL_VERSION} seatunnel
      • RUN rm -f /opt/apache-seatunnel-${SEATUNNEL_VERSION}-bin.tar.gz
      • WORKDIR /opt/seatunnel
      • ENTRYPOINT ["sh","-c"," bin/seatunnel.sh --config $config -e local"]

  • #build镜像

    • docker build -t seatunnel:2.3.3 -f dockerfile-seatunnel-2.3.3 .

  • #使用镜像后台运行

    • docker run -d -p 9000:9000 --restart=unless-stopped --name seatunnel -d --hostname seatunnel-node1 --network my-net -e config="/data/seatunnel.batch.conf" -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/config/v2.batch.config.template:/data/seatunnel.batch.conf -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/config/plugin_config:/opt/seatunnel/plugin_config -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/lib:/opt/seatunnel/lib -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/plugins:/opt/seatunnel/plugins -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/connectors/seatunnel:/opt/seatunnel/connectors/seatunnel -v /etc/localtime:/etc/localtime seatunnel:2.3.3

  • #使用镜像临时测试

    • docker run --name seatunnel --hostname seatunnel-node1 --network my-net -e config="/data/seatunnel.batch.conf" -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/config/v2.batch.config.template:/data/seatunnel.batch.conf -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/config/plugin_config:/opt/seatunnel/plugin_config -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/lib:/opt/seatunnel/lib -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/plugins:/opt/seatunnel/plugins -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/connectors/seatunnel:/opt/seatunnel/connectors/seatunnel -v /etc/localtime:/etc/localtime seatunnel:2.3.3

  • #使用JDBC模式，同步两个库的数据

    • 修改plugin_config

• • • • --seatunnel-connectors--
      • connector-fake
      • connector-console
      • connector-jdbc
      • --end--
    • 安装插件，安装过程中会自动把相应的jar包复制到对应的目录中
      • sh bin/install-plugin.sh 2.3.3
    • 修改v2.streaming.conf.template配置

# Defining the runtime environment
env {
  # You can set flink configuration here
  execution.parallelism = 1
  job.mode = "BATCH"
}
source{
  Jdbc {
    url = "jdbc:mysql://mysql:3306/test"
    driver = "com.mysql.cj.jdbc.Driver"
    connection_check_timeout_sec = 100
    user = "root"
    password = "123456"
    query = "select * from help_keyword_1 limit 2"
  }
}

transform {
    # If you would like to get more information about how to configure seatunnel and see full list of transform plugins,
    # please go to https://seatunnel.apache.org/docs/transform-v2/sql
}

sink {
#    Console {}
  jdbc {
    url = "jdbc:mysql://mysql:3306/test2"
    driver = "com.mysql.cj.jdbc.Driver"
    user = "root"
    password = "123456"
    query = "insert into help_keyword_1(help_keyword_1_id,name) values(?,?)"
  }
}

• #配置MYSQL-CDC通过binlog实时数据同步

• • MYSQL开启binlog
    • mysql的binlog开启方式,查看方式.三种binlog模式介绍.以及使用binlog恢复数据.删除binlog_mysql binlog 日志怎么打开-CSDN博客
  • 开始CDC同步
    • 使用Apache SeaTunnel进行数据库同步（MySQL to MySQL）_seatunnel mysql-CSDN博客
    • Apache SeaTunnel 同步MySQL 数据 到 Apache Kafka （SeaTunnel Engine）_seatunnel 从tcp到kafka-CSDN博客 使用CDC同步到KAFKA
  • 修改配置文件，与batch不同，是conf不是config
  • vi v2.streaming.conf.template
  • 内容如下

env {
      # You can set SeaTunnel environment configuration here
      execution.parallelism = 1
      job.mode = "STREAMING"
      # 10秒检查一次，可以适当加大这个值
      checkpoint.interval = 10000
      #execution.checkpoint.interval = 10000
      #execution.checkpoint.data-uri = "hdfs://localhost:9000/checkpoint"
    }

    # 配置数据源
    source {
      MySQL-CDC {
        # 数据库账号
        username = "root"
        password = "123456"
        # 源表，格式：数据库名.表名
        table-names = ["test.help_keyword_1"]
        base-url = "jdbc:mysql://mysql:3306/test"
      }
    }

    # 配置目标库
    sink {

      jdbc {
        url = "jdbc:mysql://mysql:3306/test2"
        driver = "com.mysql.cj.jdbc.Driver"
        user = "root"
        password = "123456"
        
        generate_sink_sql = true
        # 目标数据库名
        database = "test2"
        # 目标表名
        table = "help_keyword_1"
        # 主键名称
        primary_keys = ["help_keyword_1_id"]
      }

    }

• • 临时启动容器
    • docker run --name seatunnel --hostname seatunnel-node1 --network my-net -e config="/data/seatunnel.streaming.conf" -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/config/v2.streaming.conf.template:/data/seatunnel.streaming.conf -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/config/plugin_config:/opt/seatunnel/plugin_config -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/lib:/opt/seatunnel/lib -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/plugins:/opt/seatunnel/plugins -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/connectors/seatunnel:/opt/seatunnel/connectors/seatunnel -v /etc/localtime:/etc/localtime seatunnel:2.3.3