[
https://issues.apache.org/jira/browse/HADOOP-17125?focusedWorklogId=495478&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-495478
]
ASF GitHub Bot logged work on HADOOP-17125:
-------------------------------------------
Author: ASF GitHub Bot
Created on: 05/Oct/20 17:53
Start Date: 05/Oct/20 17:53
Worklog Time Spent: 10m
Work Description: saintstack commented on pull request #2297:
URL: https://github.com/apache/hadoop/pull/2297#issuecomment-703789784
If making a new PR, the ' <scope>compile</scope>' is redundant given its
maven default?
The license failure is:
```
Lines that start with ????? in the ASF License report indicate files that
do not have an Apache license header:
!?????
/home/jenkins/jenkins-home/workspace/hadoop-multibranch_PR-2297/src/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/jobTokenPassword
```
No harm fixing it as part of this patch... add the 'jobTokenPassword' from
below in
./hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/pom.xml
```
<plugin>
<groupId>org.apache.rat</groupId>
<artifactId>apache-rat-plugin</artifactId>
<configuration>
<excludes>
<exclude>src/test/java/org/apache/hadoop/cli/data60bytes</exclude>
<exclude>src/test/resources/job_1329348432655_0001-10.jhist</exclude>
<exlude>**/jobTokenPassword</exclude>
</excludes>
</configuration>
</plugin>
```
Otherwise patch is looking good to me.
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Issue Time Tracking
-------------------
Worklog Id: (was: 495478)
Time Spent: 23h 20m (was: 23h 10m)
> Using snappy-java in SnappyCodec
> --------------------------------
>
> Key: HADOOP-17125
> URL: https://issues.apache.org/jira/browse/HADOOP-17125
> Project: Hadoop Common
> Issue Type: New Feature
> Components: common
> Affects Versions: 3.3.0
> Reporter: DB Tsai
> Priority: Major
> Labels: pull-request-available
> Time Spent: 23h 20m
> Remaining Estimate: 0h
>
> In Hadoop, we use native libs for snappy codec which has several
> disadvantages:
> * It requires native *libhadoop* and *libsnappy* 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* and *Parquet* use
> [snappy-java|[https://github.com/xerial/snappy-java]] which is JNI-based
> implementation. It contains native binaries for Linux, Mac, and IBM 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 snappy based on
> [aircompressor|[https://github.com/airlift/aircompressor/tree/master/src/main/java/io/airlift/compress/snappy]].
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