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https://issues.apache.org/jira/browse/SPARK-16180?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-16180:
-------------------------------
Affects Version/s: 1.6.1
> Task hang on fetching blocks (cached RDD)
> -----------------------------------------
>
> Key: SPARK-16180
> URL: https://issues.apache.org/jira/browse/SPARK-16180
> Project: Spark
> Issue Type: Improvement
> Affects Versions: 1.6.1
> Reporter: Davies Liu
>
> {code}
> sun.misc.Unsafe.park(Native Method)
> java.util.concurrent.locks.LockSupport.park(LockSupport.java:175)
> java.util.concurrent.locks.AbstractQueuedSynchronizer.parkAndCheckInterrupt(AbstractQueuedSynchronizer.java:836)
> java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedInterruptibly(AbstractQueuedSynchronizer.java:997)
> java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1304)
> scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:202)
> scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218)
> scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
> scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107)
> scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
> scala.concurrent.Await$.result(package.scala:107)
> org.apache.spark.network.BlockTransferService.fetchBlockSync(BlockTransferService.scala:102)
> org.apache.spark.storage.BlockManager$$anonfun$doGetRemote$2.apply(BlockManager.scala:588)
> org.apache.spark.storage.BlockManager$$anonfun$doGetRemote$2.apply(BlockManager.scala:585)
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> org.apache.spark.storage.BlockManager.doGetRemote(BlockManager.scala:585)
> org.apache.spark.storage.BlockManager.getRemote(BlockManager.scala:570)
> org.apache.spark.storage.BlockManager.get(BlockManager.scala:630)
> org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:44)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:268)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:46)
> org.apache.spark.scheduler.Task.run(Task.scala:96)
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:222)
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> java.lang.Thread.run(Thread.java:745)
> {code}
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