简化数据流：Apache SeaTunnel实现多表同步的高效指南

SeaTunnel2024-07-24 19:03

Apache SeaTunnel除了单表之间的数据同步之外，也支持单表同步到多表，多表同步到单表，以及多表同步到多表，下面简单举例说明如何实现这些功能。

单表 to 单表

一个source，一个sink。

从mysql同步到mysql，中间不做区分

复制代码 
env {
  # You can set flink configuration here
  execution.parallelism = 2
  job.mode = "BATCH"
}
source{
    Jdbc {
        url = "jdbc:mysql://127.0.0.1:3306/test"
        driver = "com.mysql.cj.jdbc.Driver"
        connection_check_timeout_sec = 100
        user = "user"
        password = "password"
        query = "select * from base_region"
    }
}

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/sql
}

sink {
  jdbc {
        url = "jdbc:mysql://127.0.0.1:3306/dw"
        driver = "com.mysql.cj.jdbc.Driver"
        connection_check_timeout_sec = 100
        user = "user"
        password = "password"
    query = "insert into base_region(id,region_name) values(?,?)"
  }
}

执行任务

复制代码 
./bin/seatunnel.sh --config ./config/mysql2mysql_batch.conf

单表 to 多表

一个source，多个sink。

从MySQL同步到MySQL，将一个用户表数据同步过去，中间通过2个sql组件分布将男性用户和女性用户分开，在sink阶段分别插入到不同的表：

复制代码 
env {
  execution.parallelism = 2
  job.mode = "BATCH"
}
source {
    Jdbc {
        url = "jdbc:mysql://127.0.0.1:3306/test"
        driver = "com.mysql.cj.jdbc.Driver"
        connection_check_timeout_sec = 100
        user = "user"
        password = "password"
        result_table_name="t_user"
        query = "select * from t_user;"
    }
}

transform {
  Sql {
    source_table_name = "t_user"
    result_table_name = "t_user_nan"
    query = "select id,name,birth,gender from t_user where gender ='男';"
  }
  Sql {
    source_table_name = "t_user"
    result_table_name = "t_user_nv"
    query = "select id,name,birth,gender from t_user where gender ='女';"
  }
}

sink {
  jdbc {
    url = "jdbc:mysql://127.0.0.1:3306/dw"
    driver = "com.mysql.cj.jdbc.Driver"
    connection_check_timeout_sec = 100
    user = "user"
    password = "password"
    source_table_name = "t_user_nan"
    query =  "insert into t_user_nan(id,name,birth,gender) values(?,?,?,?)"
  }
  jdbc {
    url = "jdbc:mysql://127.0.0.1:3306/dw"
    driver = "com.mysql.cj.jdbc.Driver"
    connection_check_timeout_sec = 100
    user = "user"
    password = "password"
    source_table_name = "t_user_nv"
    query =  "insert into t_user_nv(id,name,birth,gender) values(?,?,?,?)"
  }
}
./bin/seatunnel.sh --config ./config/mysql2mysql_1n.conf

多表 to 单表

多个source，一个sink。

假如有一张交换器使用情况表，一张路由器使用情况表，目标表是将这种数据合在一起的olap表。

表结构如下：

复制代码 
-- dw 源表1
CREATE TABLE IF NOT EXISTS ads_device_switch_performance (
  `event_time` timestamp COMMENT '业务时间',
  `device_id` VARCHAR(32) COMMENT '设备id',
  `device_type` VARCHAR(32) COMMENT '设备类型',
  `device_name` VARCHAR(128) COMMENT '设备名称',
  `cpu_usage` INT COMMENT 'CPU使用率百分比'
) ;

INSERT INTO `ads_device_switch_performance` VALUES ('2024-01-15 14:25:11', '2001', '2', '交换器1', 49);
INSERT INTO `ads_device_switch_performance` VALUES ('2024-01-17 22:25:40', '2002', '1', '交换器2', 65);

-- dw 源表2
CREATE TABLE IF NOT EXISTS ads_device_router_performance (
  `event_time` timestamp COMMENT '业务时间',
  `device_id` VARCHAR(32) COMMENT '设备id',
  `device_type` VARCHAR(32) COMMENT '设备类型',
  `device_name` VARCHAR(128) COMMENT '设备名称',
  `cpu_usage` INT COMMENT 'CPU使用率百分比'
);

INSERT INTO `ads_device_router_performance` VALUES ('2024-01-17 21:23:22', '1001', '1', '路由器1', 35);
INSERT INTO `ads_device_router_performance` VALUES ('2024-01-16 17:23:53', '1002', '2', '路由器2', 46);


-------------------------------------------------------------------------------
-- olap 目标表
CREATE TABLE `device_performance` (
  `id` INT NOT NULL AUTO_INCREMENT COMMENT '表主键',
  `event_time` VARCHAR(32) NOT NULL COMMENT '业务时间',
  `device_id` VARCHAR(32) COMMENT '设备id',
  `device_type` VARCHAR(32) COMMENT '设备类型',
  `device_name` VARCHAR(128) NOT NULL COMMENT '设备名称',
  `cpu_usage` FLOAT NOT NULL COMMENT 'CPU利用率单位是%',
  `create_time` DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
  `update_time` DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '更新时间',
  PRIMARY KEY (`id`)
) COMMENT='设备状态';

将交换器数据和路由器数据一起同步到olap目标表，总结通过sql组件处理：

复制代码 
env {
    job.mode="BATCH"
    job.name="device_performance"
}

source {
    Jdbc {
        url="jdbc:mysql://127.0.0.1:3306/dw?allowMultiQueries=true&characterEncoding=utf-8"
        driver="com.mysql.cj.jdbc.Driver"
        user = "user"
        password = "password"
        result_table_name="switch_src"
        query="SELECT `event_time`, `device_id`, `device_type`, `device_name`, `cpu_usage` FROM ads_device_switch_performance;"
    }
    Jdbc {
        url="jdbc:mysql://127.0.0.1:3306/dw?allowMultiQueries=true&characterEncoding=utf-8"
        driver="com.mysql.cj.jdbc.Driver"
        user = "user"
        password = "password"
        result_table_name="router_src"
        query="SELECT `event_time`, `device_id`, `device_type`, `device_name`, `cpu_usage` FROM ads_device_router_performance;"
    }
}

transform {
  Sql {
    source_table_name = "switch_src"
    result_table_name = "switch_dst"
    query = "SELECT  event_time , device_id, device_type, device_name, cpu_usage, NOW() AS create_time, NOW() AS update_time  FROM switch_src;"
  }
  Sql {
    source_table_name = "router_src"
    result_table_name = "router_dst"
    query = "SELECT event_time, device_id, device_type, device_name, cpu_usage, NOW() AS create_time, NOW() AS update_time FROM router_src;"
  }
}

sink {
    Jdbc {
        url="jdbc:mysql://127.0.0.1:3306/olap?allowMultiQueries=true&characterEncoding=utf-8"
        driver="com.mysql.cj.jdbc.Driver"
        user = "user"
        password = "password"
        source_table_name = "switch_dst"
        query="INSERT INTO device_performance  VALUES(null,?, ?, ?, ?, ?, ?, ?) ;"
      }
    Jdbc {
        url="jdbc:mysql://127.0.0.1:3306/olap?allowMultiQueries=true&characterEncoding=utf-8"
        driver="com.mysql.cj.jdbc.Driver"
        user = "user"
        password = "password"
        source_table_name = "router_dst"
        query="INSERT INTO device_performance  VALUES(null,?, ?, ?, ?, ?, ?, ?) ;"
       }
}

执行任务：

复制代码 
./bin/seatunnel.sh --config ./syn_job/mysql2mysql_n1_batch.conf

作业成功！

多表 to 多表

多个source，多个sink。

将交换器使用情况数据和路由器使用情况数据分别同步到对应的目标表，中间sql组件处理

复制代码 
env {
    job.mode="BATCH"
    job.name="device_performance"
}

source {
    Jdbc {
        url="jdbc:mysql://127.0.0.1:3306/dw?allowMultiQueries=true&characterEncoding=utf-8"
        driver="com.mysql.cj.jdbc.Driver"
        user = "user"
        password = "password"
        result_table_name="switch_src"
        query="SELECT `event_time`, `device_id`, `device_type`, `device_name`, `cpu_usage` FROM ads_device_switch_performance;"
    }
    Jdbc {
        url="jdbc:mysql://127.0.0.1:3306/dw?allowMultiQueries=true&characterEncoding=utf-8"
        driver="com.mysql.cj.jdbc.Driver"
        user = "user"
        password = "password"
        result_table_name="router_src"
        query="SELECT `event_time`, `device_id`, `device_type`, `device_name`, `cpu_usage` FROM ads_device_router_performance;"
    }
}

transform {
  Sql {
    source_table_name = "switch_src"
    result_table_name = "switch_dst"
    query = "SELECT  event_time , device_id, device_type, device_name, cpu_usage, NOW() AS create_time, NOW() AS update_time  FROM switch_src;"
  }
  Sql {
    source_table_name = "router_src"
    result_table_name = "router_dst"
    query = "SELECT event_time, device_id, device_type, device_name, cpu_usage, NOW() AS create_time, NOW() AS update_time FROM router_src;"
  }
}

sink {
    Jdbc {
        url="jdbc:mysql://127.0.0.1:3306/olap?allowMultiQueries=true&characterEncoding=utf-8"
        driver="com.mysql.cj.jdbc.Driver"
        user = "user"
        password = "password"
        source_table_name = "switch_dst"
        query="INSERT INTO device_performance_switch  VALUES(null,?, ?, ?, ?, ?, ?, ?) ;"
      }
    Jdbc {
        url="jdbc:mysql://127.0.0.1:3306/olap?allowMultiQueries=true&characterEncoding=utf-8"
        driver="com.mysql.cj.jdbc.Driver"
        user = "user"
        password = "password"
        source_table_name = "router_dst"
        query="INSERT INTO device_performance_router  VALUES(null,?, ?, ?, ?, ?, ?, ?) ;"
       }
}

结语

综上所述，Apache SeaTunnel多表同步技术具有高效、实时、可靠和灵活的特点，在企业的数据同步领域发挥着重要作用。借助Apache SeaTunnel多表同步功能，企业能够更好地实现不同系统和数据库之间数据的无缝流转，提升数据管理和利用的效率，为业务发展提供有力支持。希望本文能够帮助读者更好地了解和应用Apache SeaTunnel多表同步，从而为企业数据同步带来更多可能性。

原文链接：https://blog.csdn.net/weixin_44586883/article/details/136049897

本文由 白鲸开源科技 提供发布支持！

相关推荐
TDengine （老段）11 分钟前
TDengine 数据库建模最佳实践
大数据·数据库·物联网·时序数据库·tdengine·涛思数据
张先shen18 分钟前
Elasticsearch RESTful API入门：全文搜索实战（Java版）
java·大数据·elasticsearch·搜索引擎·全文检索·restful
Elastic 中国社区官方博客21 分钟前
Elasticsearch 字符串包含子字符串：高级查询技巧
大数据·数据库·elasticsearch·搜索引擎·全文检索·lucene
张先shen1 小时前
Elasticsearch RESTful API入门：全文搜索实战
java·大数据·elasticsearch·搜索引擎·全文检索·restful
天翼云开发者社区2 小时前
Doris-HDFS LOAD常见问题汇总（二）
大数据·doris
简婷187019987752 小时前
源网荷储 + 零碳园区：一场关于能源与未来的双向奔赴
大数据·人工智能·能源
2201_756776772 小时前
网络安全初级
大数据·elasticsearch·搜索引擎
m0_703323673 小时前
SEO外包服务甄选指南：避开陷阱，精准匹配
大数据·人工智能
zzywxc7873 小时前
AI技术通过提示词工程（Prompt Engineering）正在深度重塑职场生态和行业格局，这种变革不仅体现在效率提升，更在重构人机协作模式。
java·大数据·开发语言·人工智能·spring·重构·prompt
张先shen4 小时前
Elasticsearch RESTful API入门：索引的增删改查完全指南
java·大数据·elasticsearch·搜索引擎·架构·全文检索·restful
热门推荐
01深度神经网络训练过程与常见概念02KGG转MP3工具|非KGM文件|解密音频03Coze扣子平台完整体验和实践（附国内和国际版对比）04使用Ruby接入实时行情API教程05集群聊天服务器---MySQL数据库的建立06扣子（coze）实战|我用扣子搭建了一个自动分析小红薯笔记内容的AI应用|详细步骤拆解07【无标题】08Java学习第十五部分——MyBatis09DeepSeek各版本说明与优缺点分析10LOT: 通过逻辑增强大型语言模型的零样本Chain-of-Thought推理能力