RichParallelSourceFunction 中的水印

Watermarks in a RichParallelSourceFunction

我正在实现一个 SourceFunction,它从数据库中读取数据。 如果数据被处理一次而停止或崩溃(即保存点和检查点),作业应该能够恢复。

我目前拥有的:

@SerialVersionUID(1L)
class JDBCSource(private val waitTimeMs: Long) extends 
RichParallelSourceFunction[Event] with StoppableFunction with LazyLogging{

    @transient var client: PostGreClient = _
    @volatile var isRunning: Boolean = true
    val DEFAULT_WAIT_TIME_MS = 1000

    def this(clientConfig: Serializable) =
        this(clientConfig, DEFAULT_WAIT_TIME_MS)

    override def stop(): Unit = {
        this.isRunning = false
    }

    override def open(parameters: Configuration): Unit = {
        super.open(parameters)
        client = new JDBCClient
    }

    override def run(ctx: SourceFunction.SourceContext[Event]): Unit = {

        while (isRunning){
           val statement = client.getConnection.createStatement()
           val resultSet = statement.executeQuery("SELECT name, timestamp FROM MYTABLE")

            while (resultSet.next()) {
                val event: String = resultSet.getString("name")
                val timestamp: Long = resultSet.getLong("timestamp")

                ctx.collectWithTimestamp(new Event(name, timestamp), timestamp)

            }
        }
    }

    override def cancel(): Unit = {
        isRunning = false
    }
}

如何确保只获取数据库中尚未处理的行? 我假设 ctx 变量会有一些关于当前水印的信息,这样我就可以将我的查询更改为:

select name, timestamp from myTable where timestamp > ctx.getCurrentWaterMark

但是没有适合我的相关方法。任何解决此问题的想法将不胜感激

您必须实施 CheckpointedFunction so that you can manage checkpointing by yourself. The documentation of the interface is pretty comprehensive but if you need an example I advise you to take a look at an example

本质上,您的函数必须实现 CheckpointedFunction#snapshotState 以使用 Flink 的托管状态存储您需要的状态,然后在执行恢复时,它将在 CheckpointedFunction#initializeState 中读取相同的状态。