[ 
https://issues.apache.org/jira/browse/HBASE-13992?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14637730#comment-14637730
 ] 

Hadoop QA commented on HBASE-13992:
-----------------------------------

{color:red}-1 overall{color}.  Here are the results of testing the latest 
attachment 
  http://issues.apache.org/jira/secure/attachment/12746611/HBASE-13992.8.patch
  against master branch at commit 20739542fdca185eb857813bf269d6262c11b652.
  ATTACHMENT ID: 12746611

    {color:green}+1 @author{color}.  The patch does not contain any @author 
tags.

    {color:green}+1 tests included{color}.  The patch appears to include 9 new 
or modified tests.

    {color:green}+1 hadoop versions{color}. The patch compiles with all 
supported hadoop versions (2.4.0 2.4.1 2.5.0 2.5.1 2.5.2 2.6.0 2.7.0)

    {color:red}-1 javac{color}.  The applied patch generated 26 javac compiler 
warnings (more than the master's current 24 warnings).

    {color:green}+1 protoc{color}.  The applied patch does not increase the 
total number of protoc compiler warnings.

    {color:red}-1 javadoc{color}.  The javadoc tool appears to have generated 2 
warning messages.

                {color:red}-1 checkstyle{color}.  The applied patch generated 
1871 checkstyle errors (more than the master's current 1870 errors).

    {color:green}+1 findbugs{color}.  The patch does not introduce any  new 
Findbugs (version 2.0.3) warnings.

    {color:green}+1 release audit{color}.  The applied patch does not increase 
the total number of release audit warnings.

    {color:red}-1 lineLengths{color}.  The patch introduces the following lines 
longer than 100:
    +  private static class ScanConvertFunction implements 
Function<Tuple2<ImmutableBytesWritable, Result>, String> {
+  private void populateTableWithMockData(Configuration conf, TableName 
tableName) throws IOException {

  {color:green}+1 site{color}.  The mvn post-site goal succeeds with this patch.

     {color:red}-1 core tests{color}.  The patch failed these unit tests:
     

     {color:red}-1 core zombie tests{color}.  There are 5 zombie test(s):       
at 
org.apache.hadoop.hbase.client.TestAdmin1.testForceSplitMultiFamily(TestAdmin1.java:1021)
        at 
org.apache.hadoop.hbase.client.TestReplicaWithCluster.testChangeTable(TestReplicaWithCluster.java:224)
        at 
org.apache.hadoop.hbase.client.TestMetaWithReplicas.testShutdownHandling(TestMetaWithReplicas.java:141)

Test results: 
https://builds.apache.org/job/PreCommit-HBASE-Build/14863//testReport/
Release Findbugs (version 2.0.3)        warnings: 
https://builds.apache.org/job/PreCommit-HBASE-Build/14863//artifact/patchprocess/newFindbugsWarnings.html
Checkstyle Errors: 
https://builds.apache.org/job/PreCommit-HBASE-Build/14863//artifact/patchprocess/checkstyle-aggregate.html

                Javadoc warnings: 
https://builds.apache.org/job/PreCommit-HBASE-Build/14863//artifact/patchprocess/patchJavadocWarnings.txt
Console output: 
https://builds.apache.org/job/PreCommit-HBASE-Build/14863//console

This message is automatically generated.

> Integrate SparkOnHBase into HBase
> ---------------------------------
>
>                 Key: HBASE-13992
>                 URL: https://issues.apache.org/jira/browse/HBASE-13992
>             Project: HBase
>          Issue Type: New Feature
>          Components: spark
>            Reporter: Ted Malaska
>            Assignee: Ted Malaska
>             Fix For: 2.0.0
>
>         Attachments: HBASE-13992.5.patch, HBASE-13992.6.patch, 
> HBASE-13992.7.patch, HBASE-13992.8.patch, HBASE-13992.9.patch, 
> HBASE-13992.patch, HBASE-13992.patch.3, HBASE-13992.patch.4, 
> HBASE-13992.patch.5
>
>
> This Jira is to ask if SparkOnHBase can find a home in side HBase core.
> Here is the github: 
> https://github.com/cloudera-labs/SparkOnHBase
> I am the core author of this project and the license is Apache 2.0
> A blog explaining this project is here
> http://blog.cloudera.com/blog/2014/12/new-in-cloudera-labs-sparkonhbase/
> A spark Streaming example is here
> http://blog.cloudera.com/blog/2014/11/how-to-do-near-real-time-sessionization-with-spark-streaming-and-apache-hadoop/
> A real customer using this in produce is blogged here
> http://blog.cloudera.com/blog/2015/03/how-edmunds-com-used-spark-streaming-to-build-a-near-real-time-dashboard/
> Please debate and let me know what I can do to make this happen.



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