[
https://issues.apache.org/jira/browse/SPARK-6294?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Davies Liu updated SPARK-6294:
------------------------------
Description:
{code}
>>> rdd = sc.parallelize(range(1<<20)).map(lambda x: str(x))
>>> rdd._jrdd.first()
{code}
There is the stacktrace while hanging:
{code}
"Executor task launch worker-5" daemon prio=10 tid=0x00007f8fd01a9800 nid=0x566
in Object.wait() [0x00007f90481d7000]
java.lang.Thread.State: WAITING (on object monitor)
at java.lang.Object.wait(Native Method)
- waiting on <0x0000000630929340> (a
org.apache.spark.api.python.PythonRDD$WriterThread)
at java.lang.Thread.join(Thread.java:1281)
- locked <0x0000000630929340> (a
org.apache.spark.api.python.PythonRDD$WriterThread)
at java.lang.Thread.join(Thread.java:1355)
at
org.apache.spark.api.python.PythonRDD$$anonfun$compute$1.apply(PythonRDD.scala:78)
at
org.apache.spark.api.python.PythonRDD$$anonfun$compute$1.apply(PythonRDD.scala:76)
at
org.apache.spark.TaskContextImpl$$anon$1.onTaskCompletion(TaskContextImpl.scala:49)
at
org.apache.spark.TaskContextImpl$$anonfun$markTaskCompleted$1.apply(TaskContextImpl.scala:68)
at
org.apache.spark.TaskContextImpl$$anonfun$markTaskCompleted$1.apply(TaskContextImpl.scala:66)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.TaskContextImpl.markTaskCompleted(TaskContextImpl.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:58)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
{code}
was:
{code}
"Executor task launch worker-5" daemon prio=10 tid=0x00007f8fd01a9800 nid=0x566
in Object.wait() [0x00007f90481d7000]
java.lang.Thread.State: WAITING (on object monitor)
at java.lang.Object.wait(Native Method)
- waiting on <0x0000000630929340> (a
org.apache.spark.api.python.PythonRDD$WriterThread)
at java.lang.Thread.join(Thread.java:1281)
- locked <0x0000000630929340> (a
org.apache.spark.api.python.PythonRDD$WriterThread)
at java.lang.Thread.join(Thread.java:1355)
at
org.apache.spark.api.python.PythonRDD$$anonfun$compute$1.apply(PythonRDD.scala:78)
at
org.apache.spark.api.python.PythonRDD$$anonfun$compute$1.apply(PythonRDD.scala:76)
at
org.apache.spark.TaskContextImpl$$anon$1.onTaskCompletion(TaskContextImpl.scala:49)
at
org.apache.spark.TaskContextImpl$$anonfun$markTaskCompleted$1.apply(TaskContextImpl.scala:68)
at
org.apache.spark.TaskContextImpl$$anonfun$markTaskCompleted$1.apply(TaskContextImpl.scala:66)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.TaskContextImpl.markTaskCompleted(TaskContextImpl.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:58)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
{code}
> PySpark task may hang while call take() on in Java/Scala
> --------------------------------------------------------
>
> Key: SPARK-6294
> URL: https://issues.apache.org/jira/browse/SPARK-6294
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.3.0, 1.2.1
> Reporter: Davies Liu
> Assignee: Davies Liu
> Priority: Critical
>
> {code}
> >>> rdd = sc.parallelize(range(1<<20)).map(lambda x: str(x))
> >>> rdd._jrdd.first()
> {code}
> There is the stacktrace while hanging:
> {code}
> "Executor task launch worker-5" daemon prio=10 tid=0x00007f8fd01a9800
> nid=0x566 in Object.wait() [0x00007f90481d7000]
> java.lang.Thread.State: WAITING (on object monitor)
> at java.lang.Object.wait(Native Method)
> - waiting on <0x0000000630929340> (a
> org.apache.spark.api.python.PythonRDD$WriterThread)
> at java.lang.Thread.join(Thread.java:1281)
> - locked <0x0000000630929340> (a
> org.apache.spark.api.python.PythonRDD$WriterThread)
> at java.lang.Thread.join(Thread.java:1355)
> at
> org.apache.spark.api.python.PythonRDD$$anonfun$compute$1.apply(PythonRDD.scala:78)
> at
> org.apache.spark.api.python.PythonRDD$$anonfun$compute$1.apply(PythonRDD.scala:76)
> at
> org.apache.spark.TaskContextImpl$$anon$1.onTaskCompletion(TaskContextImpl.scala:49)
> at
> org.apache.spark.TaskContextImpl$$anonfun$markTaskCompleted$1.apply(TaskContextImpl.scala:68)
> at
> org.apache.spark.TaskContextImpl$$anonfun$markTaskCompleted$1.apply(TaskContextImpl.scala:66)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at
> org.apache.spark.TaskContextImpl.markTaskCompleted(TaskContextImpl.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:58)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> {code}
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