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Posted to common-issues@hadoop.apache.org by "Pranay Singh (JIRA)" <ji...@apache.org> on 2018/11/13 19:55:00 UTC
[jira] [Updated] (HADOOP-15928) Excessive error logging when using
HDFS in S3 environment
[ https://issues.apache.org/jira/browse/HADOOP-15928?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Pranay Singh updated HADOOP-15928:
----------------------------------
Status: Patch Available (was: In Progress)
> 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
> Attachments: HADOOP-15928.001.patch
>
>
> 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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