Question

我一直在使用pyspark和我的YARN群集成功。我的工作执行涉及使用RDD的管道命令通过二进制文件发送数据我做了。我可以在pyspark这样轻松地做到这一点（假设＆＃39; sc＆＃39;是已定义）：

sc.addFile("./dumb_prog") 
t= sc.parallelize(range(10))
t.pipe("dumb_prog")
t.take(10) # Gives expected result

但是，如果我在Scala中做同样的事情，管道命令会得到一个“不能” 运行程序＆＃34; dumb_prog＆＃34;：error = 2，没有这样的文件或目录＆＃39;错误。这里＆＃39; S Scala shell中的代码：

sc.addFile("./dumb_prog")
val t = sc.parallelize(0 until 10)
val u = t.pipe("dumb_prog")
u.take(10)

为什么这只适用于Python而不适用于Scala？我有办法吗？让它在Scala中工作？

以下是scala方面的完整错误消息：

[59/3965]
14/09/29 13:07:47 INFO SparkContext: Starting job: take at <console>:17
14/09/29 13:07:47 INFO DAGScheduler: Got job 3 (take at <console>:17) with 1
output partitions (allowLocal=true)
14/09/29 13:07:47 INFO DAGScheduler: Final stage: Stage 3(take at
<console>:17)
14/09/29 13:07:47 INFO DAGScheduler: Parents of final stage: List()
14/09/29 13:07:47 INFO DAGScheduler: Missing parents: List()
14/09/29 13:07:47 INFO DAGScheduler: Submitting Stage 3 (PipedRDD[3] at pipe
at <console>:14), which has no missing parents
14/09/29 13:07:47 INFO MemoryStore: ensureFreeSpace(2136) called with
curMem=7453, maxMem=278302556
14/09/29 13:07:47 INFO MemoryStore: Block broadcast_3 stored as values in
memory (estimated size 2.1 KB, free 265.4 MB)
14/09/29 13:07:47 INFO MemoryStore: ensureFreeSpace(1389) called with
curMem=9589, maxMem=278302556
14/09/29 13:07:47 INFO MemoryStore: Block broadcast_3_piece0 stored as bytes
in memory (estimated size 1389.0 B, free 265.4 MB)
14/09/29 13:07:47 INFO BlockManagerInfo: Added broadcast_3_piece0 in memory
on 10.10.0.20:37574 (size: 1389.0 B, free: 265.4 MB)
14/09/29 13:07:47 INFO BlockManagerMaster: Updated info of block
broadcast_3_piece0
14/09/29 13:07:47 INFO DAGScheduler: Submitting 1 missing tasks from Stage 3
(PipedRDD[3] at pipe at <console>:14)
14/09/29 13:07:47 INFO YarnClientClusterScheduler: Adding task set 3.0 with
1 tasks
14/09/29 13:07:47 INFO TaskSetManager: Starting task 0.0 in stage 3.0 (TID
6, SERVERNAME, PROCESS_LOCAL, 1201 bytes)
14/09/29 13:07:47 INFO BlockManagerInfo: Added broadcast_3_piece0 in memory
on SERVERNAME:57118 (size: 1389.0 B, free: 530.3 MB)
14/09/29 13:07:47 WARN TaskSetManager: Lost task 0.0 in stage 3.0 (TID 6,
SERVERNAME): java.io.IOException: Cannot run program "dumb_prog": error=2,
No such file or directory
    java.lang.ProcessBuilder.start(ProcessBuilder.java:1041)
    org.apache.spark.rdd.PipedRDD.compute(PipedRDD.scala:119)
    org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
    org.apache.spark.scheduler.Task.run(Task.scala:54)

Answer 1

我在Yarn客户端模式的spark 1.3.0中遇到了类似的问题。当我查看 app cache 目录时，即使使用--files，该文件也不会被推送到执行程序。但是当我添加下面的内容时，它确实推送给每个执行者：

sc.addFile("dumb_prog",true)
t.pipe("./dumb_prog")

我认为这是一个错误，但上面让我解决了这个问题。

在纱线群集上使用带管道的addFile

1 个答案: