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Posted to issues@beam.apache.org by "Marc Catrisse (Jira)" <ji...@apache.org> on 2020/07/13 09:24:00 UTC
[jira] [Updated] (BEAM-10464) [ HBaseIO ] - Protocol message was
too large. May be malicious.
[ https://issues.apache.org/jira/browse/BEAM-10464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Marc Catrisse updated BEAM-10464:
---------------------------------
Description:
Hi! I just got the following error perfoming a HBaseIO.read() from scan.
{code:java}
Caused by: org.apache.hadoop.hbase.shaded.com.google.protobuf.InvalidProtocolBufferException: Protocol message was too large. May be malicious. Use CodedInputStream.setSizeLimit() to increase the size limit. at org.apache.hadoop.hbase.shaded.com.google.protobuf.InvalidProtocolBufferException.sizeLimitExceeded(InvalidProtocolBufferException.java:110) at org.apache.hadoop.hbase.shaded.com.google.protobuf.CodedInputStream.refillBuffer(CodedInputStream.java:755) at org.apache.hadoop.hbase.shaded.com.google.protobuf.CodedInputStream.isAtEnd(CodedInputStream.java:701) at org.apache.hadoop.hbase.shaded.com.google.protobuf.CodedInputStream.readTag(CodedInputStream.java:99) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result.<init>(ClientProtos.java:4694) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result.<init>(ClientProtos.java:4658) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result$1.parsePartialFrom(ClientProtos.java:4767) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result$1.parsePartialFrom(ClientProtos.java:4762) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parsePartialFrom(AbstractParser.java:200) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parsePartialDelimitedFrom(AbstractParser.java:241) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parseDelimitedFrom(AbstractParser.java:253) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parseDelimitedFrom(AbstractParser.java:259) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parseDelimitedFrom(AbstractParser.java:49) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result.parseDelimitedFrom(ClientProtos.java:5131) at org.apache.beam.sdk.io.hbase.HBaseResultCoder.decode(HBaseResultCoder.java:50) at org.apache.beam.sdk.io.hbase.HBaseResultCoder.decode(HBaseResultCoder.java:34) at org.apache.beam.sdk.coders.Coder.decode(Coder.java:159) at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:602) at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:593) at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:539) at org.apache.beam.runners.spark.translation.ValueAndCoderLazySerializable.getOrDecode(ValueAndCoderLazySerializable.java:73) ... 61 more
{code}
Actually there isn't an easy way to change the current sizeLimit from the protobuf decoder. How should we manage Big Data Datasets stored in HBase?
was:
Hi! I just got the following error perfoming a HBaseIO.read() from scan.
{code:java}
// Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, ip-172-31-9-212.eu-west-1.compute.internal, executor 1): java.lang.IllegalStateException: Error decoding bytes for coder: WindowedValue$FullWindowedValueCoder(HBaseResultCoder,GlobalWindow$Coder)Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, ip-172-31-9-212.eu-west-1.compute.internal, executor 1): java.lang.IllegalStateException: Error decoding bytes for coder: WindowedValue$FullWindowedValueCoder(HBaseResultCoder,GlobalWindow$Coder) at org.apache.beam.runners.spark.translation.ValueAndCoderLazySerializable.getOrDecode(ValueAndCoderLazySerializable.java:75) at org.apache.beam.runners.spark.translation.BoundedDataset.lambda$cache$6a9a5e8d$2(BoundedDataset.java:117) at org.apache.spark.api.java.JavaPairRDD$$anonfun$toScalaFunction$1.apply(JavaPairRDD.scala:1040) at scala.collection.Iterator$$anon$11.next(Iterator.scala:410) at scala.collection.convert.Wrappers$IteratorWrapper.next(Wrappers.scala:31) at org.apache.beam.runners.spark.translation.SparkProcessContext$ProcCtxtIterator.computeNext(SparkProcessContext.java:137) at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:141) at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:136) at scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:42) at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:462) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409) at scala.collection.convert.Wrappers$IteratorWrapper.hasNext(Wrappers.scala:30) at org.apache.beam.runners.spark.translation.MultiDoFnFunction.call(MultiDoFnFunction.java:125) at org.apache.beam.runners.spark.translation.MultiDoFnFunction.call(MultiDoFnFunction.java:63) at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:186) at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:186) at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:801) at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:801) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:337) at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:335) at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1165) at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1156) at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1091) at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1156) at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:882) at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:335) at org.apache.spark.rdd.RDD.iterator(RDD.scala:286) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55) at org.apache.spark.scheduler.Task.run(Task.scala:123) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748)Caused by: org.apache.hadoop.hbase.shaded.com.google.protobuf.InvalidProtocolBufferException: Protocol message was too large. May be malicious. Use CodedInputStream.setSizeLimit() to increase the size limit. at org.apache.hadoop.hbase.shaded.com.google.protobuf.InvalidProtocolBufferException.sizeLimitExceeded(InvalidProtocolBufferException.java:110) at org.apache.hadoop.hbase.shaded.com.google.protobuf.CodedInputStream.refillBuffer(CodedInputStream.java:755) at org.apache.hadoop.hbase.shaded.com.google.protobuf.CodedInputStream.isAtEnd(CodedInputStream.java:701) at org.apache.hadoop.hbase.shaded.com.google.protobuf.CodedInputStream.readTag(CodedInputStream.java:99) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result.<init>(ClientProtos.java:4694) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result.<init>(ClientProtos.java:4658) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result$1.parsePartialFrom(ClientProtos.java:4767) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result$1.parsePartialFrom(ClientProtos.java:4762) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parsePartialFrom(AbstractParser.java:200) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parsePartialDelimitedFrom(AbstractParser.java:241) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parseDelimitedFrom(AbstractParser.java:253) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parseDelimitedFrom(AbstractParser.java:259) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parseDelimitedFrom(AbstractParser.java:49) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result.parseDelimitedFrom(ClientProtos.java:5131) at org.apache.beam.sdk.io.hbase.HBaseResultCoder.decode(HBaseResultCoder.java:50) at org.apache.beam.sdk.io.hbase.HBaseResultCoder.decode(HBaseResultCoder.java:34) at org.apache.beam.sdk.coders.Coder.decode(Coder.java:159) at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:602) at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:593) at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:539) at org.apache.beam.runners.spark.translation.ValueAndCoderLazySerializable.getOrDecode(ValueAndCoderLazySerializable.java:73) ... 61 more
{code}
Actually there isn't an easy way to change the current sizeLimit from the protobuf decoder. How should we manage Big Data Datasets stored in HBase?
> [ HBaseIO ] - Protocol message was too large. May be malicious.
> ----------------------------------------------------------------
>
> Key: BEAM-10464
> URL: https://issues.apache.org/jira/browse/BEAM-10464
> Project: Beam
> Issue Type: Bug
> Components: beam-community
> Reporter: Marc Catrisse
> Assignee: Aizhamal Nurmamat kyzy
> Priority: P2
>
> Hi! I just got the following error perfoming a HBaseIO.read() from scan.
> {code:java}
> Caused by: org.apache.hadoop.hbase.shaded.com.google.protobuf.InvalidProtocolBufferException: Protocol message was too large. May be malicious. Use CodedInputStream.setSizeLimit() to increase the size limit. at org.apache.hadoop.hbase.shaded.com.google.protobuf.InvalidProtocolBufferException.sizeLimitExceeded(InvalidProtocolBufferException.java:110) at org.apache.hadoop.hbase.shaded.com.google.protobuf.CodedInputStream.refillBuffer(CodedInputStream.java:755) at org.apache.hadoop.hbase.shaded.com.google.protobuf.CodedInputStream.isAtEnd(CodedInputStream.java:701) at org.apache.hadoop.hbase.shaded.com.google.protobuf.CodedInputStream.readTag(CodedInputStream.java:99) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result.<init>(ClientProtos.java:4694) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result.<init>(ClientProtos.java:4658) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result$1.parsePartialFrom(ClientProtos.java:4767) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result$1.parsePartialFrom(ClientProtos.java:4762) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parsePartialFrom(AbstractParser.java:200) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parsePartialDelimitedFrom(AbstractParser.java:241) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parseDelimitedFrom(AbstractParser.java:253) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parseDelimitedFrom(AbstractParser.java:259) at org.apache.hadoop.hbase.shaded.com.google.protobuf.AbstractParser.parseDelimitedFrom(AbstractParser.java:49) at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result.parseDelimitedFrom(ClientProtos.java:5131) at org.apache.beam.sdk.io.hbase.HBaseResultCoder.decode(HBaseResultCoder.java:50) at org.apache.beam.sdk.io.hbase.HBaseResultCoder.decode(HBaseResultCoder.java:34) at org.apache.beam.sdk.coders.Coder.decode(Coder.java:159) at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:602) at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:593) at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:539) at org.apache.beam.runners.spark.translation.ValueAndCoderLazySerializable.getOrDecode(ValueAndCoderLazySerializable.java:73) ... 61 more
> {code}
> Actually there isn't an easy way to change the current sizeLimit from the protobuf decoder. How should we manage Big Data Datasets stored in HBase?
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