[jira] [Commented] (SPARK-20022) java.lang.OutOfMemoryError: Unable to acquire 4228 bytes of memory
[ https://issues.apache.org/jira/browse/SPARK-20022?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15933134#comment-15933134 ] Sean Owen commented on SPARK-20022: --- You would already have that fix in 2.0.2. It is a similar call site but by itself doesn't rule just running out of memory during a shuffle. > java.lang.OutOfMemoryError: Unable to acquire 4228 bytes of memory > -- > > Key: SPARK-20022 > URL: https://issues.apache.org/jira/browse/SPARK-20022 > Project: Spark > Issue Type: Bug > Components: PySpark >Affects Versions: 2.0.2 >Reporter: Harish > > I am getting below error in 2.0.2. Any help? or work around? > WARN TaskSetManager: Lost task 34.0 in stage 2007.0 (TID 498115, <>): > java.lang.OutOfMemoryError: Unable to acquire 4228 bytes of memory, got 0 > at > org.apache.spark.memory.MemoryConsumer.allocatePage(MemoryConsumer.java:129) > at > org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.acquireNewPageIfNecessary(UnsafeExternalSorter.java:377) > at > org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.insertRecord(UnsafeExternalSorter.java:399) > at > org.apache.spark.sql.execution.UnsafeExternalRowSorter.insertRow(UnsafeExternalRowSorter.java:94) > at > org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:175) > at > org.apache.spark.sql.execution.SortExec$$anonfun$1.apply(SortExec.scala:98) > at > org.apache.spark.sql.execution.SortExec$$anonfun$1.apply(SortExec.scala:91) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) > at > org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:89) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47) > at org.apache.spark.scheduler.Task.run(Task.scala:86) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) -- 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
[jira] [Commented] (SPARK-20022) java.lang.OutOfMemoryError: Unable to acquire 4228 bytes of memory
[ https://issues.apache.org/jira/browse/SPARK-20022?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15933121#comment-15933121 ] Harish commented on SPARK-20022: Isn't it same as "https://issues.apache.org/jira/browse/SPARK-14363; I see same log in that thread. Correct me if i am wrong. > java.lang.OutOfMemoryError: Unable to acquire 4228 bytes of memory > -- > > Key: SPARK-20022 > URL: https://issues.apache.org/jira/browse/SPARK-20022 > Project: Spark > Issue Type: Bug > Components: PySpark >Affects Versions: 2.0.2 >Reporter: Harish > > I am getting below error in 2.0.2. Any help? or work around? > WARN TaskSetManager: Lost task 34.0 in stage 2007.0 (TID 498115, <>): > java.lang.OutOfMemoryError: Unable to acquire 4228 bytes of memory, got 0 > at > org.apache.spark.memory.MemoryConsumer.allocatePage(MemoryConsumer.java:129) > at > org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.acquireNewPageIfNecessary(UnsafeExternalSorter.java:377) > at > org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.insertRecord(UnsafeExternalSorter.java:399) > at > org.apache.spark.sql.execution.UnsafeExternalRowSorter.insertRow(UnsafeExternalRowSorter.java:94) > at > org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:175) > at > org.apache.spark.sql.execution.SortExec$$anonfun$1.apply(SortExec.scala:98) > at > org.apache.spark.sql.execution.SortExec$$anonfun$1.apply(SortExec.scala:91) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) > at > org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:89) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47) > at org.apache.spark.scheduler.Task.run(Task.scala:86) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) -- 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
