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https://issues.apache.org/jira/browse/HADOOP-15206?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16391568#comment-16391568
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Aki Tanaka commented on HADOOP-15206:
-------------------------------------
In my understanding, skipBytes-- will not be executed basically.
bufferedIn.read() is executed only when skipBytes is 0, this usually means that
the file position is at the end of the split. However, InputStream.skip says
"Skips over and discards {{n}} bytes of data from the input stream. The
{{skip}} method may, for a variety of reasons, end up skipping over some
smaller number of bytes, possibly {{0}}. The actual number of bytes skipped is
returned."
([https://docs.oracle.com/javase/7/docs/api/java/io/FilterInputStream.html).]
So I thought InputStream.skip() might return 0 even if the position is not at
the end of the split.
Please let me know if my understanding is wrong. Thank you.
> BZip2 drops and duplicates records when input split size is small
> -----------------------------------------------------------------
>
> Key: HADOOP-15206
> URL: https://issues.apache.org/jira/browse/HADOOP-15206
> Project: Hadoop Common
> Issue Type: Bug
> Affects Versions: 2.8.3, 3.0.0
> Reporter: Aki Tanaka
> Assignee: Aki Tanaka
> Priority: Major
> Fix For: 3.1.0, 2.10.0, 2.9.1, 2.8.4, 2.7.6, 3.0.2
>
> Attachments: HADOOP-15206-test.patch, HADOOP-15206.001.patch,
> HADOOP-15206.002.patch, HADOOP-15206.003.patch, HADOOP-15206.004.patch,
> HADOOP-15206.005.patch, HADOOP-15206.006.patch, HADOOP-15206.007.patch,
> HADOOP-15206.008.patch
>
>
> BZip2 can drop and duplicate record when input split file is small. I
> confirmed that this issue happens when the input split size is between 1byte
> and 4bytes.
> I am seeing the following 2 problem behaviors.
>
> 1. Drop record:
> BZip2 skips the first record in the input file when the input split size is
> small
>
> Set the split size to 3 and tested to load 100 records (0, 1, 2..99)
> {code:java}
> 2018-02-01 10:52:33,502 INFO [Thread-17] mapred.TestTextInputFormat
> (TestTextInputFormat.java:verifyPartitions(317)) -
> splits[1]=file:/work/count-mismatch2/hadoop/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/target/test-dir/TestTextInputFormat/test.bz2:3+3
> count=99{code}
> > The input format read only 99 records but not 100 records
>
> 2. Duplicate Record:
> 2 input splits has same BZip2 records when the input split size is small
>
> Set the split size to 1 and tested to load 100 records (0, 1, 2..99)
>
> {code:java}
> 2018-02-01 11:18:49,309 INFO [Thread-17] mapred.TestTextInputFormat
> (TestTextInputFormat.java:verifyPartitions(318)) - splits[3]=file
> /work/count-mismatch2/hadoop/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/target/test-dir/TestTextInputFormat/test.bz2:3+1
> count=99
> 2018-02-01 11:18:49,310 WARN [Thread-17] mapred.TestTextInputFormat
> (TestTextInputFormat.java:verifyPartitions(308)) - conflict with 1 in split 4
> at position 8
> {code}
>
> I experienced this error when I execute Spark (SparkSQL) job under the
> following conditions:
> * The file size of the input files are small (around 1KB)
> * Hadoop cluster has many slave nodes (able to launch many executor tasks)
>
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