Scala spark, listbuffer is empty

匿名 (未验证) 提交于 2019-12-03 07:50:05

问题:

In this piece of code in comment 1 length of listbuffer items is shown correctly, but in the 2nd comment code never executes. Why it is occurs?

val conf = new SparkConf().setAppName("app").setMaster("local") val sc = new SparkContext(conf)  var wktReader: WKTReader = new WKTReader();  val dataSet = sc.textFile("dataSet.txt")  val items = new ListBuffer[String]()  dataSet.foreach { e =>   items += e   println("len = " + items.length) //1. here length is ok }  println("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!") items.foreach { x => print(x)} //2. this code doesn't be executed 

Logs are here:

16/11/20 01:16:52 INFO Utils: Successfully started service 'SparkUI' on port 4040.     16/11/20 01:16:52 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://192.168.56.1:4040     16/11/20 01:16:53 INFO Executor: Starting executor ID driver on host localhost     16/11/20 01:16:53 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 58608.     16/11/20 01:16:53 INFO NettyBlockTransferService: Server created on 192.168.56.1:58608     16/11/20 01:16:53 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 192.168.56.1, 58608)     16/11/20 01:16:53 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.56.1:58608 with 347.1 MB RAM, BlockManagerId(driver, 192.168.56.1, 58608)     16/11/20 01:16:53 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 192.168.56.1, 58608)     Starting app     16/11/20 01:16:57 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 139.6 KB, free 347.0 MB)     16/11/20 01:16:58 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 15.9 KB, free 346.9 MB)     16/11/20 01:16:58 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 192.168.56.1:58608 (size: 15.9 KB, free: 347.1 MB)     16/11/20 01:16:58 INFO SparkContext: Created broadcast 0 from textFile at main.scala:25     16/11/20 01:16:58 INFO FileInputFormat: Total input paths to process : 1     16/11/20 01:16:58 INFO SparkContext: Starting job: foreach at main.scala:28     16/11/20 01:16:58 INFO DAGScheduler: Got job 0 (foreach at main.scala:28) with 1 output partitions     16/11/20 01:16:58 INFO DAGScheduler: Final stage: ResultStage 0 (foreach at main.scala:28)     16/11/20 01:16:58 INFO DAGScheduler: Parents of final stage: List()     16/11/20 01:16:58 INFO DAGScheduler: Missing parents: List()     16/11/20 01:16:58 INFO DAGScheduler: Submitting ResultStage 0 (dataSet.txt MapPartitionsRDD[1] at textFile at main.scala:25), which has no missing parents     16/11/20 01:16:58 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 3.3 KB, free 346.9 MB)     16/11/20 01:16:58 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 2034.0 B, free 346.9 MB)     16/11/20 01:16:58 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 192.168.56.1:58608 (size: 2034.0 B, free: 347.1 MB)     16/11/20 01:16:58 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:1012     16/11/20 01:16:59 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 0 (dataSet.txt MapPartitionsRDD[1] at textFile at main.scala:25)     16/11/20 01:16:59 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks     16/11/20 01:16:59 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, partition 0, PROCESS_LOCAL, 5427 bytes)     16/11/20 01:16:59 INFO Executor: Running task 0.0 in stage 0.0 (TID 0)     16/11/20 01:16:59 INFO HadoopRDD: Input split: file:/D:/dataSet.txt:0+291     16/11/20 01:16:59 INFO deprecation: mapred.tip.id is deprecated. Instead, use mapreduce.task.id     16/11/20 01:16:59 INFO deprecation: mapred.task.id is deprecated. Instead, use mapreduce.task.attempt.id     16/11/20 01:16:59 INFO deprecation: mapred.task.is.map is deprecated. Instead, use mapreduce.task.ismap     16/11/20 01:16:59 INFO deprecation: mapred.task.partition is deprecated. Instead, use mapreduce.task.partition     16/11/20 01:16:59 INFO deprecation: mapred.job.id is deprecated. Instead, use mapreduce.job.id     len = 1     len = 2     len = 3     len = 4     len = 5     len = 6     len = 7     16/11/20 01:16:59 INFO Executor: Finished task 0.0 in stage 0.0 (TID 0). 989 bytes result sent to driver     16/11/20 01:16:59 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 417 ms on localhost (1/1)     16/11/20 01:16:59 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool      16/11/20 01:16:59 INFO DAGScheduler: ResultStage 0 (foreach at main.scala:28) finished in 0,456 s     16/11/20 01:16:59 INFO DAGScheduler: Job 0 finished: foreach at main.scala:28, took 0,795126 s     !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!     16/11/20 01:16:59 INFO SparkContext: Invoking stop() from shutdown hook     16/11/20 01:16:59 INFO SparkUI: Stopped Spark web UI at http://192.168.56.1:4040     16/11/20 01:16:59 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!     16/11/20 01:16:59 INFO MemoryStore: MemoryStore cleared     16/11/20 01:16:59 INFO BlockManager: BlockManager stopped     16/11/20 01:16:59 INFO BlockManagerMaster: BlockManagerMaster stopped     16/11/20 01:16:59 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!     16/11/20 01:16:59 INFO SparkContext: Successfully stopped SparkContext     16/11/20 01:16:59 INFO ShutdownHookManager: Shutdown hook called     16/11/20 01:16:59 INFO ShutdownHookManager: Deleting directory

回答1:

Here:

dataSet.foreach { e =>   items += e   println("len = " + items.length) //1. here length is ok } 

you modify an executor local copy of items. The original items list defined on the driver is not modified. As a result this:

items.foreach { x => print(x)} 

executes, but there is nothing to print.

Please check Understanding closures



标签
易学教程内所有资源均来自网络或用户发布的内容,如有违反法律规定的内容欢迎反馈
该文章没有解决你所遇到的问题?点击提问,说说你的问题,让更多的人一起探讨吧!