Re: Driver OutOfMemoryError in MapOutputTracker$.serializeMapStatuses for 40 TB shuffle.
Thanks for the pointer, Vadim. However, I just tried it with Spark 2.4 and get the same failure. (I was previously testing with 2.2 and/or 2.3.) And I don't see this particular issue referred to there. The ticket that Harel commented on indeed appears to be the most similar one to this issue: https://issues.apache.org/jira/browse/SPARK-1239. On Mon, Nov 11, 2019 at 4:43 PM Vadim Semenov wrote: > 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 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 > 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 3 and > >> see how it goes. > >> > >> On Fri, Sep 7, 2018 at 10:35 AM Harel Gliksman > 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
Re: Driver OutOfMemoryError in MapOutputTracker$.serializeMapStatuses for 40 TB shuffle.
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 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 > 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 3 and >> see how it goes. >> >> On Fri, Sep 7, 2018 at 10:35 AM Harel Gliksman 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$1.apply(MapOutputTracker.scala:786) >> > at >> >
Re: Driver OutOfMemoryError in MapOutputTracker$.serializeMapStatuses for 40 TB shuffle.
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 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 3 and > see how it goes. > > On Fri, Sep 7, 2018 at 10:35 AM Harel Gliksman > 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$.serializeMapStatuses(MapOutputTracker.scala:789) > > at > org.apache.spark.ShuffleStatus.serializedMapStatus(MapOutputTracker.scala:174) > > at >
Re: Driver OutOfMemoryError in MapOutputTracker$.serializeMapStatuses for 40 TB shuffle.
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 3 and see how it goes. On Fri, Sep 7, 2018 at 10:35 AM Harel Gliksman 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$Worker.run(ThreadPoolExecutor.java:624) > at java.lang.Thread.run(Thread.java:748) > Suppressed: java.lang.OutOfMemoryError > at java.io.ByteArrayOutputStream.hugeCapacity(ByteArrayOutputStream.java:123) > at java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:117) > at java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93) > at
Re: Driver OutOfMemoryError in MapOutputTracker$.serializeMapStatuses for 40 TB shuffle.
File system is HDFS. Executors are 2 cores, 14GB RAM. But I don't think either of these relate to the problem -- this is a memory allocation issue on the driver side, and happens in an intermediate stage that has no HDFS read/write. On Fri, Nov 8, 2019 at 10:01 AM Spico Florin wrote: > Hi! > What file system are you using: EMRFS or HDFS? > Also what memory are you using for the reducer ? > > On Thu, Nov 7, 2019 at 8:37 PM abeboparebop > wrote: > >> I ran into the same issue processing 20TB of data, with 200k tasks on both >> the map and reduce sides. Reducing to 100k tasks each resolved the issue. >> But this could/would be a major problem in cases where the data is bigger >> or >> the computation is heavier, since reducing the number of partitions may >> not >> be an option. >> >> >> harelglik wrote >> > I understand the error is because the number of partitions is very high, >> > yet when processing 40 TB (and this number is expected to grow) this >> > number >> > seems reasonable: >> > 40TB / 300,000 will result in partitions size of ~ 130MB (data should be >> > evenly distributed). >> > >> > On Fri, Sep 7, 2018 at 6:28 PM Vadim Semenov >> >> > vadim@ >> >> > wrote: >> > >> >> You have too many partitions, so when the driver is trying to gather >> >> the status of all map outputs and send back to executors it chokes on >> >> the size of the structure that needs to be GZipped, and since it's >> >> bigger than 2GiB, it produces OOM. >> >> On Fri, Sep 7, 2018 at 10:35 AM Harel Gliksman >> >> > harelglik@ >> >> > >> >> 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
Re: Driver OutOfMemoryError in MapOutputTracker$.serializeMapStatuses for 40 TB shuffle.
Hi! What file system are you using: EMRFS or HDFS? Also what memory are you using for the reducer ? On Thu, Nov 7, 2019 at 8:37 PM abeboparebop wrote: > I ran into the same issue processing 20TB of data, with 200k tasks on both > the map and reduce sides. Reducing to 100k tasks each resolved the issue. > But this could/would be a major problem in cases where the data is bigger > or > the computation is heavier, since reducing the number of partitions may not > be an option. > > > harelglik wrote > > I understand the error is because the number of partitions is very high, > > yet when processing 40 TB (and this number is expected to grow) this > > number > > seems reasonable: > > 40TB / 300,000 will result in partitions size of ~ 130MB (data should be > > evenly distributed). > > > > On Fri, Sep 7, 2018 at 6:28 PM Vadim Semenov > > > vadim@ > > > wrote: > > > >> You have too many partitions, so when the driver is trying to gather > >> the status of all map outputs and send back to executors it chokes on > >> the size of the structure that needs to be GZipped, and since it's > >> bigger than 2GiB, it produces OOM. > >> On Fri, Sep 7, 2018 at 10:35 AM Harel Gliksman > > > harelglik@ > > > > >> 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 > >> >
Re: Driver OutOfMemoryError in MapOutputTracker$.serializeMapStatuses for 40 TB shuffle.
I ran into the same issue processing 20TB of data, with 200k tasks on both the map and reduce sides. Reducing to 100k tasks each resolved the issue. But this could/would be a major problem in cases where the data is bigger or the computation is heavier, since reducing the number of partitions may not be an option. harelglik wrote > I understand the error is because the number of partitions is very high, > yet when processing 40 TB (and this number is expected to grow) this > number > seems reasonable: > 40TB / 300,000 will result in partitions size of ~ 130MB (data should be > evenly distributed). > > On Fri, Sep 7, 2018 at 6:28 PM Vadim Semenov > vadim@ > wrote: > >> You have too many partitions, so when the driver is trying to gather >> the status of all map outputs and send back to executors it chokes on >> the size of the structure that needs to be GZipped, and since it's >> bigger than 2GiB, it produces OOM. >> On Fri, Sep 7, 2018 at 10:35 AM Harel Gliksman > harelglik@ > >> 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$.serializeMapStatuses(MapOutputTracker.scala:789)
Re: Driver OutOfMemoryError in MapOutputTracker$.serializeMapStatuses for 40 TB shuffle.
I understand the error is because the number of partitions is very high, yet when processing 40 TB (and this number is expected to grow) this number seems reasonable: 40TB / 300,000 will result in partitions size of ~ 130MB (data should be evenly distributed). On Fri, Sep 7, 2018 at 6:28 PM Vadim Semenov wrote: > You have too many partitions, so when the driver is trying to gather > the status of all map outputs and send back to executors it chokes on > the size of the structure that needs to be GZipped, and since it's > bigger than 2GiB, it produces OOM. > On Fri, Sep 7, 2018 at 10:35 AM Harel Gliksman > 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$Worker.run(ThreadPoolExecutor.java:624) > > at java.lang.Thread.run(Thread.java:748) > > Suppressed: java.lang.OutOfMemoryError > > at >
Re: Driver OutOfMemoryError in MapOutputTracker$.serializeMapStatuses for 40 TB shuffle.
You have too many partitions, so when the driver is trying to gather the status of all map outputs and send back to executors it chokes on the size of the structure that needs to be GZipped, and since it's bigger than 2GiB, it produces OOM. On Fri, Sep 7, 2018 at 10:35 AM Harel Gliksman 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
