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https://issues.apache.org/jira/browse/HADOOP-17292?focusedWorklogId=500458&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-500458
]
ASF GitHub Bot logged work on HADOOP-17292:
-------------------------------------------
Author: ASF GitHub Bot
Created on: 14/Oct/20 06:30
Start Date: 14/Oct/20 06:30
Worklog Time Spent: 10m
Work Description: viirya commented on a change in pull request #2350:
URL: https://github.com/apache/hadoop/pull/2350#discussion_r504431628
##########
File path:
hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/io/compress/lz4/Lz4Compressor.java
##########
@@ -76,6 +64,19 @@ public Lz4Compressor(int directBufferSize, boolean useLz4HC)
{
this.useLz4HC = useLz4HC;
this.directBufferSize = directBufferSize;
+ try {
+ LZ4Factory lz4Factory = LZ4Factory.fastestInstance();
+ if (useLz4HC) {
+ lz4Compressor = lz4Factory.highCompressor();
Review comment:
Yeah, sounds good. We can add it later if it is necessary.
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Issue Time Tracking
-------------------
Worklog Id: (was: 500458)
Time Spent: 3.5h (was: 3h 20m)
> 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: 3.5h
> 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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