flink自定义mysql sink

<dependency>
    <groupId>mysql</groupId>
    <artifactId>mysql-connector-java</artifactId>
    <version>5.1.44</version>
</dependency>

<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>druid</artifactId>
    <version>1.1.10</version>
</dependency>

class MyJdbcSink(sql:String ) extends  RichSinkFunction[Array[Any]] {

  val driver="com.mysql.jdbc.Driver"

  val url="jdbc:mysql://hadoop2:3306/gmall2019?useSSL=false"

  val username="root"

  val password="123123"

  val maxActive="20"

  var connection:Connection=null;

  //创建连接
  override def open(parameters: Configuration): Unit = {
    val properties = new Properties()
    properties.put("driverClassName",driver)
    properties.put("url",url)
    properties.put("username",username)
    properties.put("password",password)
    properties.put("maxActive",maxActive)


    val dataSource: DataSource = DruidDataSourceFactory.createDataSource(properties)
    connection = dataSource.getConnection()
  }

//反复调用
  override def invoke(values: Array[Any]): Unit = {
    val ps: PreparedStatement = connection.prepareStatement(sql )
    println(values.mkString(","))
    for (i <- 0 until values.length) {
      ps.setObject(i + 1, values(i))
    }
    ps.executeUpdate()


  }

  override def close(): Unit = {

    if(connection!=null){
      connection.close()
    }

  }

}

  val startUplogDstream: DataStream[StartUpLog] = dstream.map{ JSON.parseObject(_,classOf[StartUpLog])}

val jdbcSink = new MyJdbcSink("insert into z_startup values(?,?,?,?,?)")
startUplogDstream.map(startuplog=>Array(startuplog.mid,startuplog.uid,startuplog.ch,startuplog.area,  startuplog.ts)).addSink(jdbcSink)