Flink构造宽表实时入库案例介绍

  1. 安装包准备

|---------------------|
| Flink 1.15.4 安装包 |
| Flink cdc的mysql连接器 |
| Flink sql的sdb连接器 |
| MySQL驱动 |
| SDB驱动 |
| Flink jdbc的mysql连接器 |

  1. 入库流程图
  1. Flink安装部署

  2. 上传Flink压缩包到服务器,并解压

|----------------------------------------------------|
| tar -zxvf flink-1.14.5-bin-scala_2.11.tgz -C /opt/ |

  1. 复制依赖至Flink中

|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| cp sdb-flink-connector-3.4.8-jar-with-dependencies.jar /opt/flink-1.14.5/lib cp sequoiadb-driver-3.4.8.jre8.jar /opt/flink-1.14.5/lib cp flink-sql-connector-mysql-cdc-2.2.1.jar /opt/flink-1.14.5/lib cp flink-connector-jdbc_2.11-1.14.6.jar /opt/flink-1.14.5/lib |

  1. 修改flink-conf.yaml文件

|---------------------------------------------------------------------------------------------------------------------------------------------|
| vi conf/flink-conf.yaml ### 配置Master的机器名(IP地址) jobmanager.rpc.address: sdb1 ### 配置每个taskmanager 生成的临时文件夹 io.tmp.dirs: /opt/flink-1.14.5/tmp |

  1. 修改master文件

|------------------------------------------------|
| vi conf/masters #作为master的ip和端口号 upgrade1:8081 |

  1. 修改worker文件

|---------------------------------------------------|
| vi conf/workers #集群主机名 upgrade1 upgrade2 upgrade3 |

  1. 拷贝到集群其他机器

|---------------------------------------------------------------------------------------------------|
| scp -r /opt/flink-1.14.5 sdbadmin@upgrade2:/opt/ scp -r /opt/flink-1.14.5 sdbadmin@upgrade3:/opt/ |

  1. 启动flink集群

|------------------------------------------------------------|
| sdbadmin@upgrade1 flink-1.14.5$ ./bin/start-cluster.sh |

  1. 启动flink-SQL

|---------------------------------------------------------|
| sdbadmin@upgrade1 flink-1.14.5$ ./bin/sql-client.sh |

  1. 实时入库

编写造数程序进行造数

4.1 环境准备

4.1.1 开启mysql的binlog

  1. 创建binlog文件夹

|-------------------------------------------------------------------------------|
| sdbadmin@upgrade1 mysql$ mkdir /opt/sequoiasql/mysql/database/3306/binlog |

  1. 开启binlog

|------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| vim /opt/sequoiasql/mysql/database/3306/auto.cnf >>配置以下内容: log_bin=/opt/sequoiasql/mysql/database/3306/binlog binlog_format=ROW expire_logs_days=1 server_id=1 |

配置完成之后,重启mysql

|----------------------------------------------------------------------------------------------------------------------------|
| sdbadmin@upgrade1 mysql ./bin/sdb_mysql_ctl stop myinst \[sdbadmin@upgrade1 mysql\] ./bin/sdb_mysql_ctl start myinst |

4.1.2 创建mysql表

创建库

|-------------------------------------|
| create database sbtest; use sbtest; |

创建表

|--------------------------------------------------------------------------------------------------------------------------------------|
| CREATE TABLE sbtest1 ( id INT UNSIGNED AUTO_INCREMENT, uuid INT(10), name1 CHAR(120), age INT(4), time1 DATETIME, PRIMARY KEY(id) ); |

|--------------------------------------------------------------------------------------------------------------------------------------|
| CREATE TABLE sbtest2 ( id INT UNSIGNED AUTO_INCREMENT, uuid INT(10), name2 CHAR(120), age INT(4), time1 DATETIME, PRIMARY KEY(id) ); |

|--------------------------------------------------------------------------------------------------------------------------------------|
| CREATE TABLE sbtest3 ( id INT UNSIGNED AUTO_INCREMENT, uuid INT(10), name3 CHAR(120), age INT(4), time1 DATETIME, PRIMARY KEY(id) ); |

创建flink入库表

|------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| CREATE TABLE sbtest4 ( id INT UNSIGNED AUTO_INCREMENT, uuid INT(10), name1 CHAR(120), name2 CHAR(120), name3 CHAR(120), age INT(4), time1 DATETIME, PRIMARY KEY(id) ); |

4.1.3 创建flink映射表

需要用到flink-sql-connector-mysql-cdc-2.2.1.jar

|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| CREATE TABLE sbtest1_mysql ( id INT, uuid INT, name1 CHAR(120), age INT, time1 TIMESTAMP, PRIMARY KEY (id) NOT ENFORCED ) WITH ( 'connector' = 'mysql-cdc', 'hostname' = '192.168.223.135', 'port' = '3306', 'username' = 'root', 'password' = 'root', 'database-name' = 'sbtest', 'table-name' = 'sbtest1' ); |

|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| CREATE TABLE sbtest2_mysql ( id INT, uuid INT, name2 CHAR(120), age INT, time1 TIMESTAMP, PRIMARY KEY (id) NOT ENFORCED ) WITH ( 'connector' = 'mysql-cdc', 'hostname' = '192.168.223.135', 'port' = '3306', 'username' = 'root', 'password' = 'root', 'database-name' = 'sbtest', 'table-name' = 'sbtest2' ); |

|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| CREATE TABLE sbtest3_mysql ( id INT, uuid INT, name3 CHAR(120), age INT, time1 TIMESTAMP, PRIMARY KEY (id) NOT ENFORCED ) WITH ( 'connector' = 'mysql-cdc', 'hostname' = '192.168.223.135', 'port' = '3306', 'username' = 'root', 'password' = 'root', 'database-name' = 'sbtest', 'table-name' = 'sbtest3' ); |

创建flink --> mysql入库映射表

需要用到flink-connector-jdbc_2.11-1.14.6.jar

|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| CREATE TABLE sbtest4_mysql ( id BIGINT, uuid INT, name1 CHAR(120), name2 CHAR(120), name3 CHAR(120), age INT, time1 TIMESTAMP, PRIMARY KEY (id) NOT ENFORCED ) WITH ( 'connector' = 'jdbc', 'url' = 'jdbc:mysql://192.168.223.135:3306/sbtest', 'username' = 'root', 'password' = 'root', 'table-name' = 'sbtest4' ); |

创建flink --> mysql入库映射表

需要用到 sdb-flink-connector-3.4.8-jar-with-dependencies.jar

|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| CREATE TABLE sbtest_sdb ( id BIGINT, uuid INT, name1 CHAR(120), name2 CHAR(120), name3 CHAR(120), age INT, time1 TIMESTAMP, PRIMARY KEY (id) NOT ENFORCED ) WITH ( 'connector' = 'sequoiadb', 'bulksize' = '1', 'hosts' = '192.168.223.135:11810', 'collectionspace' = 'sbtest', 'collection' = 'sbtest4' ); |

4.2 MySQL实时入库

4.2.1 Flink left join

|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| select sdb1.id, sdb1.uuid, sdb1.name1, sdb2.name2, sdb3.name3, sdb1.age, sdb1.time1 from sbtest1_mysql sdb1 left join sbtest2_mysql sdb2 on sdb1.id = sdb2.id left join sbtest3_mysql sdb3 on sdb1.id = sdb3.id; |

4.2.2 mysql实时入库

|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| insert into sbtest4_mysql select sdb1.id, sdb1.uuid, sdb1.name1, sdb2.name2, sdb3.name3, sdb1.age, sdb1.time1 from sbtest1_mysql sdb1 left join sbtest2_mysql sdb2 on sdb1.id = sdb2.id left join sbtest3_mysql sdb3 on sdb1.id = sdb3.id; |

查看Flink任务

查看可以成功入库

4.3 SDB实时入库

4.3.1 Flink left join

|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| select sdb1.id, sdb1.uuid, sdb1.name1, sdb2.name2, sdb3.name3, sdb1.age, sdb1.time1 from sbtest1_mysql sdb1 left join sbtest2_mysql sdb2 on sdb1.id = sdb2.id left join sbtest3_mysql sdb3 on sdb1.id = sdb3.id; |

4.3.2 sdb实时入库

|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| insert into sbtest_sdb select sdb1.id, sdb1.uuid, sdb1.name1, sdb2.name2, sdb3.name3, sdb1.age, sdb1.time1 from sbtest1_mysql sdb1 left join sbtest2_mysql sdb2 on sdb1.id = sdb2.id left join sbtest3_mysql sdb3 on sdb1.id = sdb3.id; |

查看Flink任务

显示已经成功入库

相关推荐
美狐美颜sdk23 分钟前
从开发角度分析直播APP:视频美颜SDK接入过程中的技术难点
大数据·人工智能·音视频·美颜sdk·美颜api
美狐美颜SDK开放平台25 分钟前
直播APP源码如何实现美颜功能?视频美颜SDK开发方案详解
android·大数据·人工智能·计算机视觉·直播美颜sdk
CallFay云起未来27 分钟前
2026电商客服机器人系统多少钱?从成本结构到AI客服选型的完整指南
大数据·人工智能·机器人
EAIReport29 分钟前
字节Seedance 2.5深度解析:长时序4K视频生成技术突破与产业落地赋能
大数据·人工智能·音视频
JAVA面经实录9171 小时前
MySQL问题定位与性能优化完整知识体系
java·jvm·数据库·mysql·性能优化
深圳市益普科技有限公司1 小时前
mes厂家有哪些?从开发与二次开发灵活性看mes厂家的业务适配深度
大数据
Raas1001 小时前
大模型网关和API网关区别是什么?MAI Gateway统一AI流量治理
java·大数据·运维·人工智能·gateway·企业级·ai网关
JL151 小时前
如何用 MySQL 持久化、历史快照与游标实现多步 Redo/Undo
前端·数据库·mysql
SL-staff1 小时前
APS排产规则底座实践:如何用生产全局配置统一自动拆分、成批基数与齐套策略
大数据·数据库·人工智能·智能制造·aps·mes·排产规则
延凡科技1 小时前
从 “黑灯工厂“ 到 “数字孪生“:智慧工厂平台落地实践
大数据·物联网·架构·数字孪生