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https://issues.apache.org/jira/browse/HADOOP-17825?focusedWorklogId=635936&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-635936
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ASF GitHub Bot logged work on HADOOP-17825:
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Author: ASF GitHub Bot
Created on: 09/Aug/21 16:29
Start Date: 09/Aug/21 16:29
Worklog Time Spent: 10m
Work Description: viirya commented on pull request #3250:
URL: https://github.com/apache/hadoop/pull/3250#issuecomment-895365571
Thanks @steveloughran. I also don't think there's risk here. The compressing
here basically takes the buffers given by the caller, instead of allocating by
itself.
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Issue Time Tracking
-------------------
Worklog Id: (was: 635936)
Time Spent: 16h 40m (was: 16.5h)
> Add BuiltInGzipCompressor
> -------------------------
>
> Key: HADOOP-17825
> URL: https://issues.apache.org/jira/browse/HADOOP-17825
> Project: Hadoop Common
> Issue Type: Improvement
> Reporter: L. C. Hsieh
> Priority: Major
> Labels: pull-request-available
> Time Spent: 16h 40m
> Remaining Estimate: 0h
>
> Currently, GzipCodec only supports BuiltInGzipDecompressor, if native zlib is
> not loaded. So, without Hadoop native codec installed, saving SequenceFile
> using GzipCodec will throw exception like "SequenceFile doesn't work with
> GzipCodec without native-hadoop code!"
> Same as other codecs which we migrated to using prepared packages (lz4,
> snappy), it will be better if we support GzipCodec generally without Hadoop
> native codec installed. Similar to BuiltInGzipDecompressor, we can use Java
> Deflater to support BuiltInGzipCompressor.
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