[
https://issues.apache.org/jira/browse/SPARK-19300?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
hustfxj updated SPARK-19300:
----------------------------
Comment: was deleted
(was: [~zsxwing] I also met this issue, and you can look
https://issues.apache.org/jira/browse/SPARK-19883. And my netty's version
already is 4.0.43.Final. )
> Executor is waiting for lock
> ----------------------------
>
> Key: SPARK-19300
> URL: https://issues.apache.org/jira/browse/SPARK-19300
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.1.0
> Reporter: cen yuhai
> Priority: Critical
> Attachments: stderr.jpg, WAITING.jpg
>
>
> I can see all threads in the executor is waiting for lock.
> {code}
> sun.misc.Unsafe.park(Native Method)
> java.util.concurrent.locks.LockSupport.park(LockSupport.java:175)
> java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)
> java.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)
> org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:313)
> org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:54)
> scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
> scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
> scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.sort_addToSorter$(Unknown
> Source)
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
> Source)
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.findNextInnerJoinRows$(Unknown
> Source)
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
> Source)
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$2.hasNext(WholeStageCodegenExec.scala:396)
> org.apache.spark.sql.execution.columnar.InMemoryRelation$$anonfun$1$$anon$1.hasNext(InMemoryRelation.scala:138)
> org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:215)
> org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:957)
> org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:948)
> org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:888)
> org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:948)
> org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:694)
> org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:342)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:293)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:331)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:295)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:331)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:295)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:331)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:295)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:331)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:295)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:331)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:295)
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
> org.apache.spark.scheduler.Task.run(Task.scala:99)
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:330)
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> java.lang.Thread.run(Thread.java:745)
> {code}
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
