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From "Pranay Singh (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (HADOOP-15928) Excessive error logging when using HDFS in S3 environment
Date Tue, 13 Nov 2018 19:40:00 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-15928?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Pranay Singh reassigned HADOOP-15928:

    Assignee: Pranay Singh

> Excessive error logging when using HDFS in S3 environment
> ---------------------------------------------------------
>                 Key: HADOOP-15928
>                 URL: https://issues.apache.org/jira/browse/HADOOP-15928
>             Project: Hadoop Common
>          Issue Type: Improvement
>            Reporter: Pranay Singh
>            Assignee: Pranay Singh
>            Priority: Major
> Problem:
> ------------
> There is excessive error logging when Impala uses HDFS in S3 environment, this issue
is caused because of  defect HADOOP-14603 "S3A input stream to support ByteBufferReadable"
> Excessive error logging results in defect IMPALA-5256: "ERROR log files can get very
large". This causes the error log files to be huge. 
> The following message is printed repeatedly in the error log:
> UnsupportedOperationException: Byte-buffer read unsupported by input streamjava.lang.UnsupportedOperationException:
Byte-buffer read unsupported by input stream
>         at org.apache.hadoop.fs.FSDataInputStream.read(FSDataInputStream.java:150)
> Root cause
> ----------------
> After investigating the issue, it appears that the above exception is printed because
> when a file is opened via hdfsOpenFileImpl() calls readDirect() which is hitting this
> exception.
> Fix:
> ----
> Since the hdfs client is not initiating the byte buffered read but is happening in a
implicit manner, we should not be generating the error log during open of a file.

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