flink RichFunction之坑及解决

  val value = env.socketTextStream("192.168.13.11", 9090)
    val value2 = value.filter(x => {
      try {
        var a = 1 / 0   //此处若没有异常处理，任务不会断，但是会重复打开数据库连接
      } catch {
        case e: Exception =>
      }
      isInter(x)
    }).map(fun = x => {
      x.toLong
    })
    val value1 = value2.assignTimestampsAndWatermarks(new BoundedOutOfOrdernessTimestampExtractor[Long](Time.seconds(1)) {
      override def extractTimestamp(element: Long): Long = {
        println(element + "***************")
        element
      }
    })

    try {
      var a = 1 / 0
    } catch {
      case e: Exception =>
    }
    value1.map(new mymap)
    env.execute("test")

  }

  def isInter(input: String): Boolean = {
    val matcher = Pattern.compile("^[0-9]+$").matcher(input)
    matcher.find()
  }
}


class myRichMapfun6() extends RichMapFunction[ListBuffer[String], Unit] {
  var conn: Connection = _
  var pst: PreparedStatement = _

  override def open(parameters: Configuration): Unit = {
    conn = DriverManager.getConnection("jdbc:mysql://xxxxxxx:3306/zzt?useUnicode=true&characterEncoding=UTF-8&zeroDateTimeBehavior=convertToNull&useSSL=false&autoReconnect=true", "root", "bigdata@mysql")
    println(conn)
    pst = conn.prepareStatement("insert into testa (str) values (?)")
  }

  override def close(): Unit = {
    conn.close()
    pst.close()
  }

  override def map(in: ListBuffer[String]): Unit = {
    pst.setString(1, in.head)
    pst.execute()
  }
}

 val value1 = value2.assignTimestampsAndWatermarks(new BoundedOutOfOrdernessTimestampExtractor[Long](Time.seconds(1)) {
      override def extractTimestamp(element: Long): Long = {
        println(element + "***************")
        element
      }
    })

data.map (new MapFunction<String, Integer>() {
  public Integer map(String value) { return Integer.parseInt(value); }
});

data.map (new RichMapFunction<String, Integer>() {
  public Integer map(String value) { return Integer.parseInt(value); }
});