FlinkSQL 读写 MySQL

FlinkSQL读取MySQL大多用作维表关联， 聚合结果写入MySQL，简单记录一下用法。

JDBC SQL Connector

 

package com.sm.job

import com.sm.utils.FlinkUtils
import org.apache.flink.streaming.api.scala._
import org.apache.flink.table.api.bridge.scala.StreamTableEnvironment
import org.apache.log4j.Level
import org.slf4j.LoggerFactory

/**
  * flinkSQL 读写 mysql
  * 
  * create by LiuJinHe 2020/10/22
  */
object FlinkJdbcConnector {
  private var logger: org.slf4j.Logger = _

  def main(args: Array[String]): Unit = {
    logger = LoggerFactory.getLogger(this.getClass.getSimpleName)
    org.apache.log4j.Logger.getLogger("org.apache.hadoop").setLevel(Level.WARN)
    org.apache.log4j.Logger.getLogger("org.apache").setLevel(Level.INFO)
    org.apache.log4j.Logger.getLogger("io.debezium").setLevel(Level.INFO)

    // 初始化 stream 环境
    // 本地测试，需要 flink-runtime-web 依赖
    val env = StreamExecutionEnvironment.createLocalEnvironmentWithWebUI()
    //    val env = StreamExecutionEnvironment.getExecutionEnvironment

    // 失败重启,固定间隔,每隔3秒重启1次,总尝试重启10次
    //    env.setRestartStrategy(RestartStrategies.fixedDelayRestart(10, 3))

    // 本地测试线程 1
    env.setParallelism(1)

    // 事件处理的时间，由系统时间决定
    //    env.setStreamTimeCharacteristic(TimeCharacteristic.ProcessingTime)

    // 创建 streamTable 环境
    val tableEnv: StreamTableEnvironment = StreamTableEnvironment.create(env, FlinkUtils.getSettings)

    // checkpoint 设置
    val tableConfig = tableEnv.getConfig.getConfiguration
    // 开启checkpoint
    tableConfig.set(ExecutionCheckpointingOptions.CHECKPOINTING_MODE, CheckpointingMode.EXACTLY_ONCE)
    // checkpoint的超时时间周期，1 分钟做一次checkpoint, 每次checkpoint 完成后 sink 才会执行
    tableConfig.set(ExecutionCheckpointingOptions.CHECKPOINTING_INTERVAL, Duration.ofSeconds(60))
    // checkpoint的超时时间, 检查点一分钟内没有完成将被丢弃
    tableConfig.set(ExecutionCheckpointingOptions.CHECKPOINTING_TIMEOUT, Duration.ofSeconds(60))
    // checkpoint 最小间隔，两个检查点之间至少间隔 30 秒
    tableConfig.set(ExecutionCheckpointingOptions.MIN_PAUSE_BETWEEN_CHECKPOINTS, Duration.ofSeconds(30))
    // 同一时间只允许进行一个检查点
    tableConfig.set(ExecutionCheckpointingOptions.MAX_CONCURRENT_CHECKPOINTS, Integer.valueOf(1))
    // 手动cancel时是否保留checkpoint
    tableConfig.set(ExecutionCheckpointingOptions.EXTERNALIZED_CHECKPOINT,
      CheckpointConfig.ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION)

    // 手动cancel时是否保留checkpoint
    checkpointConfig.enableExternalizedCheckpoints(CheckpointConfig.ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION)

    // Catalog
    //    val memoryCatalog = new GenericInMemoryCatalog("kafkaSourceTable", "memory")

    /**
      * mysql 源表
      */
    val mysqlSourceSql =
    """
      |create table mysqlSourceTable (
      |  ID bigint,
      |  NAME string,
      |  DEVELOPER_ID bigint,
      |  DEVELOPER_SHARE decimal(11,2),
      |  STATE tinyint,
      |  WEB_OPEN tinyint,
      |  IS_MULTIPLE tinyint,
      |  CP_GAME_NAME string,
      |  SM_GAME_NAME string,
      |  REMARK string,
      |  CP_GAME_ID int,
      |  UPDATE_TIME TIMESTAMP
      |) with (
      | 'connector' = 'jdbc',
      | 'url' = 'jdbc:mysql://192.168.100.39:3306/game_platform?useSSL=false&useUnicode=true&characterEncoding=UTF-8&characterSetResults=UTF-8&zeroDateTimeBehavior=CONVERT_TO_NULL&serverTimezone=UTC',
      | 'username' = 'root',
      | 'password' = '123456',
      | 'table-name' = 'games',
      | 'driver' = 'com.mysql.cj.jdbc.Driver',
      | 'scan.fetch-size' = '200'
      |)
    """.stripMargin

    /**
      * mysql sink
      */
    val printSinkSql =
      """
        |create table printSinkTable (
        |  ID bigint,
        |  NAME string,
        |  DEVELOPER_ID bigint,
        |  DEVELOPER_SHARE decimal(11,2),
        |  STATE tinyint,
        |  WEB_OPEN tinyint,
        |  IS_MULTIPLE tinyint,
        |  CP_GAME_NAME string,
        |  SM_GAME_NAME string,
        |  REMARK string,
        |  CP_GAME_ID int,
        |  UPDATE_TIME TIMESTAMP
        |) with (
        | 'connector' = 'print'
        |)
      """.stripMargin

    //    val printSinkSql =
    //      """
    //        |create table printSinkTable (
    //        |  ID bigint,
    //        |  NAME string,
    //        |  DEVELOPER_ID bigint,
    //        |  DEVELOPER_SHARE decimal(11,2),
    //        |  STATE tinyint,
    //        |  WEB_OPEN tinyint,
    //        |  IS_MULTIPLE tinyint,
    //        |  CP_GAME_NAME string,
    //        |  SM_GAME_NAME string,
    //        |  REMARK string,
    //        |  CP_GAME_ID int,
    //        |  UPDATE_TIME TIMESTAMP
    //        |) with (
    //        | 'connector' = 'jdbc',
    //        | 'url' = 'jdbc:mysql://localhost:3306/test_flink?useSSL=false&useUnicode=true&characterEncoding=UTF-8&characterSetResults=UTF-8&zeroDateTimeBehavior=CONVERT_TO_NULL&serverTimezone=UTC',
    //        | 'username' = 'root',
    //        | 'password' = '863863',
    //        | 'table-name' = 'test-flink',
    //        | 'driver' = 'com.mysql.cj.jdbc.Driver',
    //        | 'sink.buffer-flush.interval' = '3s',
    //        | 'sink.buffer-flush.max-rows' = '1',
    //        | 'sink.max-retries' = '5'
    //        |)

    val insertSql =
      """
        |insert into printSinkTable
        |select * from mysqlSourceTable
      """.stripMargin

    tableEnv.executeSql(mysqlSourceSql)
    tableEnv.executeSql(printSinkSql)
    tableEnv.executeSql(insertSql)
  }
}

依赖

        
            org.apache.flink
            flink-connector-jdbc_${scala.binary.version}
            ${flink.version}
            
        
        
            mysql
            mysql-connector-java
            8.0.16