[
https://issues.apache.org/jira/browse/HADOOP-18799?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Frens Jan Rumph updated HADOOP-18799:
-------------------------------------
Description:
It seems like I've hit an issue similar to
https://issues.apache.org/jira/browse/HADOOP-15822. I haven't been able to
reproduce the issue though. I did manage to add a little bit of logging to
org.apache.hadoop.io.compress.zstd.ZStandardCompressor. I've captured the off
and len arguments of compress and the srcOffset and srcLen arguments for
deflateBytesDirect:
{{compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 131072 519}}
Just after that last line the process dies with a java.lang.InternalError: Src
size is incorrect:
{{org.apache.hadoop.mapred.YarnChild: Error running child :
java.lang.InternalError: Src size is incorrect
at
org.apache.hadoop.io.compress.zstd.ZStandardCompressor.deflateBytesDirect(Native
Method)
at
org.apache.hadoop.io.compress.zstd.ZStandardCompressor.compress(ZStandardCompressor.java:220)
at
org.apache.hadoop.io.compress.CompressorStream.compress(CompressorStream.java:81)
at
org.apache.hadoop.io.compress.CompressorStream.write(CompressorStream.java:76)
at java.base/java.io.BufferedOutputStream.write(BufferedOutputStream.java:123)
at java.base/java.io.DataOutputStream.write(DataOutputStream.java:107)
at
org.apache.hadoop.io.SequenceFile$BlockCompressWriter.writeBuffer(SequenceFile.java:1569)
...}}
I have also seen this error: java.lang.InternalError: Error (generic):
{{
java.lang.InternalError: Error (generic)
at
org.apache.hadoop.io.compress.zstd.ZStandardCompressor.deflateBytesDirect(Native
Method)
at
org.apache.hadoop.io.compress.zstd.ZStandardCompressor.compress(ZStandardCompressor.java:220)
at
org.apache.hadoop.io.compress.CompressorStream.compress(CompressorStream.java:81)
at
org.apache.hadoop.io.compress.CompressorStream.write(CompressorStream.java:76)
at java.base/java.io.BufferedOutputStream.write(BufferedOutputStream.java:123)
at java.base/java.io.DataOutputStream.write(DataOutputStream.java:107)
at
org.apache.hadoop.io.SequenceFile$BlockCompressWriter.writeBuffer(SequenceFile.java:15
...
}}
Note that the arguments `131072 519` are _always_ given to `deflateBytesDirect`
in case things go wrong. In other cases the offset argument is zero and the
size argument is smaller, but not zero; e.g., 0 and 7772.
As for some context: we're using the compression as part of writing sequence
files with data serialised with Kryo to Backblaze using the S3A file system /
S3 client with a map-reduce job on YARN. The job has no issues with smaller
values, but for larger ones this situation happens. I've seen very larges
values being written successfully, but at some point this error is raised all
over the place (after a few larger values). Perhaps some buffer is filling up?
Unfortunately, I'm developing using a Mac with M1 processor. So reproducing the
issue locally is not a simple feat. If I can somehow produce more leads to
investigate this, I'd be happy to.
As an aside: we're considering working around this using the
hbase-compression-zstd module. This is an alternative compression codec that
uses the zstd-jni library without depending on hadoop native.
was:
It seems like I've hit an issue similar to
https://issues.apache.org/jira/browse/HADOOP-15822. I haven't been able to
reproduce the issue though. I did manage to add a little bit of logging to
org.apache.hadoop.io.compress.zstd.ZStandardCompressor. I've captured the off
and len arguments of compress and the srcOffset and srcLen arguments for
deflateBytesDirect:
{{
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 0 131591
compress 0 131591
deflateBytesDirect 131072 519
}}
Just after that last line the process dies with a java.lang.InternalError: Src
size is incorrect:
{{org.apache.hadoop.mapred.YarnChild: Error running child :
java.lang.InternalError: Src size is incorrect
at
org.apache.hadoop.io.compress.zstd.ZStandardCompressor.deflateBytesDirect(Native
Method)
at
org.apache.hadoop.io.compress.zstd.ZStandardCompressor.compress(ZStandardCompressor.java:220)
at
org.apache.hadoop.io.compress.CompressorStream.compress(CompressorStream.java:81)
at
org.apache.hadoop.io.compress.CompressorStream.write(CompressorStream.java:76)
at java.base/java.io.BufferedOutputStream.write(BufferedOutputStream.java:123)
at java.base/java.io.DataOutputStream.write(DataOutputStream.java:107)
at
org.apache.hadoop.io.SequenceFile$BlockCompressWriter.writeBuffer(SequenceFile.java:1569)
...}}
I have also seen this error: java.lang.InternalError: Error (generic):
{{
java.lang.InternalError: Error (generic)
at
org.apache.hadoop.io.compress.zstd.ZStandardCompressor.deflateBytesDirect(Native
Method)
at
org.apache.hadoop.io.compress.zstd.ZStandardCompressor.compress(ZStandardCompressor.java:220)
at
org.apache.hadoop.io.compress.CompressorStream.compress(CompressorStream.java:81)
at
org.apache.hadoop.io.compress.CompressorStream.write(CompressorStream.java:76)
at java.base/java.io.BufferedOutputStream.write(BufferedOutputStream.java:123)
at java.base/java.io.DataOutputStream.write(DataOutputStream.java:107)
at
org.apache.hadoop.io.SequenceFile$BlockCompressWriter.writeBuffer(SequenceFile.java:15
...
}}
Note that the arguments `131072 519` are _always_ given to `deflateBytesDirect`
in case things go wrong. In other cases the offset argument is zero and the
size argument is smaller, but not zero; e.g., 0 and 7772.
As for some context: we're using the compression as part of writing sequence
files with data serialised with Kryo to Backblaze using the S3A file system /
S3 client with a map-reduce job on YARN. The job has no issues with smaller
values, but for larger ones this situation happens. I've seen very larges
values being written successfully, but at some point this error is raised all
over the place (after a few larger values). Perhaps some buffer is filling up?
Unfortunately, I'm developing using a Mac with M1 processor. So reproducing the
issue locally is not a simple feat. If I can somehow produce more leads to
investigate this, I'd be happy to.
As an aside: we're considering working around this using the
hbase-compression-zstd module. This is an alternative compression codec that
uses the zstd-jni library without depending on hadoop native.
> zstd compressor fails
> ----------------------
>
> Key: HADOOP-18799
> URL: https://issues.apache.org/jira/browse/HADOOP-18799
> Project: Hadoop Common
> Issue Type: Bug
> Components: native
> Affects Versions: 3.3.0
> Reporter: Frens Jan Rumph
> Priority: Major
>
> It seems like I've hit an issue similar to
> https://issues.apache.org/jira/browse/HADOOP-15822. I haven't been able to
> reproduce the issue though. I did manage to add a little bit of logging to
> org.apache.hadoop.io.compress.zstd.ZStandardCompressor. I've captured the off
> and len arguments of compress and the srcOffset and srcLen arguments for
> deflateBytesDirect:
> {{compress 0 131591
> deflateBytesDirect 0 131591
> compress 0 131591
> deflateBytesDirect 0 131591
> compress 0 131591
> deflateBytesDirect 0 131591
> compress 0 131591
> deflateBytesDirect 0 131591
> compress 0 131591
> deflateBytesDirect 0 131591
> compress 0 131591
> deflateBytesDirect 0 131591
> compress 0 131591
> deflateBytesDirect 0 131591
> compress 0 131591
> deflateBytesDirect 0 131591
> compress 0 131591
> deflateBytesDirect 131072 519}}
> Just after that last line the process dies with a java.lang.InternalError:
> Src size is incorrect:
> {{org.apache.hadoop.mapred.YarnChild: Error running child :
> java.lang.InternalError: Src size is incorrect
> at
> org.apache.hadoop.io.compress.zstd.ZStandardCompressor.deflateBytesDirect(Native
> Method)
> at
> org.apache.hadoop.io.compress.zstd.ZStandardCompressor.compress(ZStandardCompressor.java:220)
> at
> org.apache.hadoop.io.compress.CompressorStream.compress(CompressorStream.java:81)
> at
> org.apache.hadoop.io.compress.CompressorStream.write(CompressorStream.java:76)
> at java.base/java.io.BufferedOutputStream.write(BufferedOutputStream.java:123)
> at java.base/java.io.DataOutputStream.write(DataOutputStream.java:107)
> at
> org.apache.hadoop.io.SequenceFile$BlockCompressWriter.writeBuffer(SequenceFile.java:1569)
> ...}}
> I have also seen this error: java.lang.InternalError: Error (generic):
> {{
> java.lang.InternalError: Error (generic)
> at
> org.apache.hadoop.io.compress.zstd.ZStandardCompressor.deflateBytesDirect(Native
> Method)
> at
> org.apache.hadoop.io.compress.zstd.ZStandardCompressor.compress(ZStandardCompressor.java:220)
> at
> org.apache.hadoop.io.compress.CompressorStream.compress(CompressorStream.java:81)
> at
> org.apache.hadoop.io.compress.CompressorStream.write(CompressorStream.java:76)
> at java.base/java.io.BufferedOutputStream.write(BufferedOutputStream.java:123)
> at java.base/java.io.DataOutputStream.write(DataOutputStream.java:107)
> at
> org.apache.hadoop.io.SequenceFile$BlockCompressWriter.writeBuffer(SequenceFile.java:15
> ...
> }}
> Note that the arguments `131072 519` are _always_ given to
> `deflateBytesDirect` in case things go wrong. In other cases the offset
> argument is zero and the size argument is smaller, but not zero; e.g., 0 and
> 7772.
> As for some context: we're using the compression as part of writing sequence
> files with data serialised with Kryo to Backblaze using the S3A file system /
> S3 client with a map-reduce job on YARN. The job has no issues with smaller
> values, but for larger ones this situation happens. I've seen very larges
> values being written successfully, but at some point this error is raised all
> over the place (after a few larger values). Perhaps some buffer is filling up?
> Unfortunately, I'm developing using a Mac with M1 processor. So reproducing
> the issue locally is not a simple feat. If I can somehow produce more leads
> to investigate this, I'd be happy to.
> As an aside: we're considering working around this using the
> hbase-compression-zstd module. This is an alternative compression codec that
> uses the zstd-jni library without depending on hadoop native.
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