flink操作mysql

Flink读写mysql

如果是mvn项目的话，需要预先导入相应的包：

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-jdbc_2.11</artifactId>
            <version>1.9.2</version>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>5.1.24</version>
        </dependency>

1、读

import java.time.LocalDateTime

import org.apache.flink.api.common.typeinfo.BasicTypeInfo
import org.apache.flink.api.java.io.jdbc.{JDBCInputFormat, JDBCOutputFormat}
import org.apache.flink.api.java.typeutils.RowTypeInfo
import org.apache.flink.api.scala.{DataSet, ExecutionEnvironment, _}
import org.apache.flink.types.Row
import org.apache.log4j.Logger

object OperatorMysql extends Logger("opeartorMysql") {
  val log = Logger.getLogger("opeartorMysql")

  def main(args: Array[String]): Unit = {
    val env = ExecutionEnvironment.getExecutionEnvironment
    val driver = "com.mysql.jdbc.Driver"
    val url = "jdbc:mysql://192.168.1.1:3306/ipvacloud?useUnicode=true&characterEncoding=utf-8"
    val username = "root"
    val password = "123456"
    log.info("--------read mysql-----------")
    val sql_read = "select relationid,year,month from reid_kequn_arave_times"
    readMysql(env, url, driver, username, password, sql_read)
}

/**
    * 读mysql
    *
    * @param env
    * @param url
    * @param user
    * @param pwd
    * @param sql
    */
  def readMysql(env: ExecutionEnvironment, url: String, driver: String, user: String, pwd: String, sql: String) = {
    val dataResult: DataSet[Row] = env.createInput(JDBCInputFormat.buildJDBCInputFormat()
      .setDrivername(driver)
      .setDBUrl(url)
      .setUsername(user)
      .setPassword(pwd)
      .setQuery(sql)
      .setRowTypeInfo(new RowTypeInfo(
        BasicTypeInfo.STRING_TYPE_INFO,
        BasicTypeInfo.STRING_TYPE_INFO,
        BasicTypeInfo.STRING_TYPE_INFO))
      .finish())
    dataResult.map(x => {
      val relationid = x.getField(0)
      val year = x.getField(1)
      val month = x.getField(2)
      (relationid, year, month)
    }).print()
  }

运行结果：

2、写

import java.time.LocalDateTime

import org.apache.flink.api.common.typeinfo.BasicTypeInfo
import org.apache.flink.api.java.io.jdbc.{JDBCInputFormat, JDBCOutputFormat}
import org.apache.flink.api.java.typeutils.RowTypeInfo
import org.apache.flink.api.scala.{DataSet, ExecutionEnvironment, _}
import org.apache.flink.types.Row
import org.apache.log4j.Logger

/**
  * AUTHOR Guozy
  * DATE   2020/3/14-10:44
  **/
object OperatorMysql extends Logger("opeartorMysql") {
  val log = Logger.getLogger("opeartorMysql")

  def main(args: Array[String]): Unit = {
    val env = ExecutionEnvironment.getExecutionEnvironment
    val driver = "com.mysql.jdbc.Driver"
    val url = "jdbc:mysql://192.168.1.1:3306/ipvacloud?useUnicode=true&characterEncoding=utf-8"
    val username = "root"
    val password = "winner@001"
    log.info("--------write mysql-----------")
    val sql_write = "insert into attention_newdata(Hostname,ChannelNum,enabled,LastTime,CreateTime,ModifyTime) values(?,?,?,?,?,?) on duplicate key update ModifyTime=NOW()"
    val curTime = LocalDateTime.now().toString.replace("T", " ")
    val outputData = env.fromElements(("ttt", "0", "1", curTime, curTime, curTime))
      .map(x => {
        val row = new Row(6)
        row.setField(0, x._1)
        row.setField(1, x._2)
        row.setField(2, x._3)
        row.setField(3, x._4)
        row.setField(4, x._5)
        row.setField(5, x._6)
        row
      })
    writeMysql(env, outputData, url, username, password, sql_write)
  }

// 写mysql
  def writeMysql(env: ExecutionEnvironment, outputData: DataSet[Row], url: String, user: String, pwd: String, sql: String) = {
    outputData.output(JDBCOutputFormat.buildJDBCOutputFormat()
      .setDrivername("com.mysql.jdbc.Driver")
      .setDBUrl(url)
      .setUsername(user)
      .setPassword(pwd)
      .setQuery(sql)
      .finish())
    env.execute("insert data to mysql")
    print("data write successfully")
  }

运行结果：