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https://issues.apache.org/jira/browse/HADOOP-17292?focusedWorklogId=508988&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-508988
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ASF GitHub Bot logged work on HADOOP-17292:
-------------------------------------------
Author: ASF GitHub Bot
Created on: 09/Nov/20 06:17
Start Date: 09/Nov/20 06:17
Worklog Time Spent: 10m
Work Description: viirya commented on pull request #2350:
URL: https://github.com/apache/hadoop/pull/2350#issuecomment-723786079
Regarding `whitespace | 0m 0s | /whitespace-tabs.txt`:
>
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-nativetask/src/main/native/lz4/lz4.c:1705:
/* Currently the fast loop shows a regression on qualcomm arm chips. */
This `lz4.c` is copied from
`hadoop-common-project/hadoop-common/src/main/native/src/org/apache/hadoop/io/compress/lz4/lz4.c`
without change.
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Issue Time Tracking
-------------------
Worklog Id: (was: 508988)
Time Spent: 7h 40m (was: 7.5h)
> Using lz4-java in Lz4Codec
> --------------------------
>
> Key: HADOOP-17292
> URL: https://issues.apache.org/jira/browse/HADOOP-17292
> Project: Hadoop Common
> Issue Type: New Feature
> Components: common
> Affects Versions: 3.3.0
> Reporter: L. C. Hsieh
> Priority: Major
> Labels: pull-request-available
> Time Spent: 7h 40m
> Remaining Estimate: 0h
>
> In Hadoop, we use native libs for lz4 codec which has several disadvantages:
> It requires native libhadoop to be installed in system LD_LIBRARY_PATH, and
> they have to be installed separately on each node of the clusters, container
> images, or local test environments which adds huge complexities from
> deployment point of view. In some environments, it requires compiling the
> natives from sources which is non-trivial. Also, this approach is platform
> dependent; the binary may not work in different platform, so it requires
> recompilation.
> It requires extra configuration of java.library.path to load the natives, and
> it results higher application deployment and maintenance cost for users.
> Projects such as Spark use [lz4-java|https://github.com/lz4/lz4-java] which
> is JNI-based implementation. It contains native binaries in jar file, and it
> can automatically load the native binaries into JVM from jar without any
> setup. If a native implementation can not be found for a platform, it can
> fallback to pure-java implementation of lz4.
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