Spark流不记得以前的状态

时间:2016-02-27 20:34:09

标签: scala apache-spark spark-streaming

我用有状态转换写了火花流程序。 看起来我的火花流应用程序正在通过检查指向正确地进行计算。 但是,如果我终止我的程序,如果我再次启动它,它不会读取以前的检查点数据并从头开始凝视。这是预期的行为吗?

我是否需要更改程序中的任何内容,以便记住以前的数据并从那里开始计算?

提前致谢。

参考我的程序:

 def main(args: Array[String]): Unit = {
    val conf = new SparkConf().setAppName("HBaseStream")
    val sc = new SparkContext(conf)
    val ssc = new StreamingContext(sc, Seconds(5))
    val inputStream = ssc.socketTextStream(<hostname>, 9999)
    ssc.checkpoint("hdfs://<hostname1>:8020/user/spark/checkpoints_dir")
    inputStream.print(1)
    val parsedStream = inputStream
      .map(line => {
        val splitLines = line.split(",")
        (splitLines(1), splitLines.slice(2, splitLines.length).map((_.trim.toLong)))
      })
    import breeze.linalg.{DenseVector => BDV}
    import scala.util.Try

    val state: DStream[(String, Array[Long])] = parsedStream.updateStateByKey(
      (current: Seq[Array[Long]], prev: Option[Array[Long]]) =>  {
        prev.map(_ +: current).orElse(Some(current))
          .flatMap(as => Try(as.map(BDV(_)).reduce(_ + _).toArray).toOption)
      })
    state.checkpoint(Duration(10000))
    state.foreachRDD(rdd => rdd.foreach(Blaher.blah))

    // Start the computation
    ssc.start()
    // Wait for the computation to terminate
    ssc.awaitTermination()

  }
}

2 个答案:

答案 0 :(得分:2)

根据spark-streaming文档,您应该稍微有点不同地初始化上下文:

// Function to create and setup a new StreamingContext
def functionToCreateContext(): StreamingContext = {
    val ssc = new StreamingContext(...)   // new context
    val lines = ssc.socketTextStream(...) // create DStreams
    ...
    ssc.checkpoint(checkpointDirectory)   // set checkpoint directory
    ssc
}

// Get StreamingContext from checkpoint data or create a new one
val context = StreamingContext.getOrCreate(checkpointDirectory, functionToCreateContext _)

// Do additional setup on context that needs to be done,
// irrespective of whether it is being started or restarted
context. ...

// Start the context
context.start()
context.awaitTermination()

请参阅checkpointing

答案 1 :(得分:1)

正如checkpointing documentation中所述,您必须调整代码才能从检查点恢复状态。

特别是您无法直接创建+++,但必须使用StreamingContext.getOrCreate方法:

  • 检查点目录
  • 可用于设置上下文(StreamingContext
  • 的函数