There's an umbrella ticket for various 2GB limitations https://issues.apache.org/jira/browse/SPARK-6235
On Fri, Nov 8, 2019 at 4:11 PM Jacob Lynn <abebopare...@gmail.com> wrote: > > Sorry for the noise, folks! I understand that reducing the number of > partitions works around the issue (at the scale I'm working at, anyway) -- as > I mentioned in my initial email -- and I understand the root cause. I'm not > looking for advice on how to resolve my issue. I'm just pointing out that > this is a real bug/limitation that impacts real-world use cases, in case > there is some proper Spark dev out there who is looking for a problem to > solve. > > On Fri, Nov 8, 2019 at 2:24 PM Vadim Semenov <va...@datadoghq.com.invalid> > wrote: >> >> Basically, the driver tracks partitions and sends it over to >> executors, so what it's trying to do is to serialize and compress the >> map but because it's so big, it goes over 2GiB and that's Java's limit >> on the max size of byte arrays, so the whole thing drops. >> >> The size of data doesn't matter here much but the number of partitions >> is what the root cause of the issue, try reducing it below 30000 and >> see how it goes. >> >> On Fri, Sep 7, 2018 at 10:35 AM Harel Gliksman <harelg...@gmail.com> wrote: >> > >> > Hi, >> > >> > We are running a Spark (2.3.1) job on an EMR cluster with 500 r3.2xlarge >> > (60 GB, 8 vcores, 160 GB SSD ). Driver memory is set to 25GB. >> > >> > It processes ~40 TB of data using aggregateByKey in which we specify >> > numPartitions = 300,000. >> > Map side tasks succeed, but reduce side tasks all fail. >> > >> > We notice the following driver error: >> > >> > 18/09/07 13:35:03 WARN Utils: Suppressing exception in finally: null >> > >> > java.lang.OutOfMemoryError >> > >> > at >> > java.io.ByteArrayOutputStream.hugeCapacity(ByteArrayOutputStream.java:123) >> > at java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:117) >> > at >> > java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93) >> > at java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:153) >> > at >> > java.util.zip.DeflaterOutputStream.deflate(DeflaterOutputStream.java:253) >> > at java.util.zip.DeflaterOutputStream.write(DeflaterOutputStream.java:211) >> > at java.util.zip.GZIPOutputStream.write(GZIPOutputStream.java:145) >> > at >> > java.io.ObjectOutputStream$BlockDataOutputStream.writeBlockHeader(ObjectOutputStream.java:1894) >> > at >> > java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1875) >> > at >> > java.io.ObjectOutputStream$BlockDataOutputStream.flush(ObjectOutputStream.java:1822) >> > at java.io.ObjectOutputStream.flush(ObjectOutputStream.java:719) >> > at java.io.ObjectOutputStream.close(ObjectOutputStream.java:740) >> > at >> > org.apache.spark.MapOutputTracker$$anonfun$serializeMapStatuses$2.apply$mcV$sp(MapOutputTracker.scala:790) >> > at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1389) >> > at >> > org.apache.spark.MapOutputTracker$.serializeMapStatuses(MapOutputTracker.scala:789) >> > at >> > org.apache.spark.ShuffleStatus.serializedMapStatus(MapOutputTracker.scala:174) >> > at >> > org.apache.spark.MapOutputTrackerMaster$MessageLoop.run(MapOutputTracker.scala:397) >> > at >> > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) >> > at >> > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) >> > at java.lang.Thread.run(Thread.java:748) >> > Exception in thread "map-output-dispatcher-0" java.lang.OutOfMemoryError >> > at >> > java.io.ByteArrayOutputStream.hugeCapacity(ByteArrayOutputStream.java:123) >> > at java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:117) >> > at >> > java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93) >> > at java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:153) >> > at >> > java.util.zip.DeflaterOutputStream.deflate(DeflaterOutputStream.java:253) >> > at java.util.zip.DeflaterOutputStream.write(DeflaterOutputStream.java:211) >> > at java.util.zip.GZIPOutputStream.write(GZIPOutputStream.java:145) >> > at >> > java.io.ObjectOutputStream$BlockDataOutputStream.writeBlockHeader(ObjectOutputStream.java:1894) >> > at >> > java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1875) >> > at >> > java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1786) >> > at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1189) >> > at java.io.ObjectOutputStream.writeArray(ObjectOutputStream.java:1378) >> > at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1174) >> > at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348) >> > at >> > org.apache.spark.MapOutputTracker$$anonfun$serializeMapStatuses$1.apply$mcV$sp(MapOutputTracker.scala:787) >> > at >> > org.apache.spark.MapOutputTracker$$anonfun$serializeMapStatuses$1.apply(MapOutputTracker.scala:786) >> > at >> > org.apache.spark.MapOutputTracker$$anonfun$serializeMapStatuses$1.apply(MapOutputTracker.scala:786) >> > at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1380) >> > at >> > org.apache.spark.MapOutputTracker$.serializeMapStatuses(MapOutputTracker.scala:789) >> > at >> > org.apache.spark.ShuffleStatus.serializedMapStatus(MapOutputTracker.scala:174) >> > at >> > org.apache.spark.MapOutputTrackerMaster$MessageLoop.run(MapOutputTracker.scala:397) >> > at >> > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) >> > at >> > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) >> > at java.lang.Thread.run(Thread.java:748) >> > Suppressed: java.lang.OutOfMemoryError >> > at >> > java.io.ByteArrayOutputStream.hugeCapacity(ByteArrayOutputStream.java:123) >> > at java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:117) >> > at >> > java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93) >> > at java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:153) >> > at >> > java.util.zip.DeflaterOutputStream.deflate(DeflaterOutputStream.java:253) >> > at java.util.zip.DeflaterOutputStream.write(DeflaterOutputStream.java:211) >> > at java.util.zip.GZIPOutputStream.write(GZIPOutputStream.java:145) >> > at >> > java.io.ObjectOutputStream$BlockDataOutputStream.writeBlockHeader(ObjectOutputStream.java:1894) >> > at >> > java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1875) >> > at >> > java.io.ObjectOutputStream$BlockDataOutputStream.flush(ObjectOutputStream.java:1822) >> > at java.io.ObjectOutputStream.flush(ObjectOutputStream.java:719) >> > at java.io.ObjectOutputStream.close(ObjectOutputStream.java:740) >> > at >> > org.apache.spark.MapOutputTracker$$anonfun$serializeMapStatuses$2.apply$mcV$sp(MapOutputTracker.scala:790) >> > at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1389) >> > ... 6 more >> > >> > We found this reference (https://issues.apache.org/jira/browse/SPARK-1239) >> > to a similar issue that was closed in 2016. >> > >> > Please advise, >> > >> > Harel. >> > >> > >> >> >> -- >> 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