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https://issues.apache.org/jira/browse/HBASE-13992?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14634141#comment-14634141
]
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/12746162/HBASE-13992.5.patch
against master branch at commit 0f614a1c44e1887ca7177b66bb6208b6e69db7e1.
ATTACHMENT ID: 12746162
{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 49 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 5
warning messages.
{color:red}-1 checkstyle{color}. The applied patch generated
1878 checkstyle errors (more than the master's current 1871 errors).
{color:green}+1 findbugs{color}. The patch does not introduce any new
Findbugs (version 2.0.3) warnings.
{color:red}-1 release audit{color}. The applied patch generated 1 release
audit warnings (more than the master's current 0 warnings).
{color:red}-1 lineLengths{color}. The patch introduces the following lines
longer than 100:
+ xsi:schemaLocation="http://maven.apache.org/POM/4.0.0
http://maven.apache.org/xsd/maven-4.0.0.xsd">
+ new SparkConf().setAppName("JavaHBaseStreamingBulkPutExample " +
tableName + ":" + port + ":" + tableName);
+ configBroadcast:
Broadcast[SerializableWritable[Configuration]],
+ private def getConf(configBroadcast:
Broadcast[SerializableWritable[Configuration]]): Configuration = {
+ configBroadcast:
Broadcast[SerializableWritable[Configuration]],
+ * or security issues. For instance, an Array[AnyRef] can hold any type T,
but may lose primitive
+ val sparkConf = new SparkConf().setAppName("HBaseBulkPutTimestampExample "
+ tableName + " " + columnFamily)
+ (Bytes.toBytes("6"), Array((Bytes.toBytes(columnFamily),
Bytes.toBytes("1"), Bytes.toBytes("1")))),
+ (Bytes.toBytes("7"), Array((Bytes.toBytes(columnFamily),
Bytes.toBytes("1"), Bytes.toBytes("2")))),
+ (Bytes.toBytes("8"), Array((Bytes.toBytes(columnFamily),
Bytes.toBytes("1"), Bytes.toBytes("3")))),
{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:
Test results:
https://builds.apache.org/job/PreCommit-HBASE-Build/14840//testReport/
Release audit warnings:
https://builds.apache.org/job/PreCommit-HBASE-Build/14840//artifact/patchprocess/patchReleaseAuditWarnings.txt
Release Findbugs (version 2.0.3) warnings:
https://builds.apache.org/job/PreCommit-HBASE-Build/14840//artifact/patchprocess/newFindbugsWarnings.html
Checkstyle Errors:
https://builds.apache.org/job/PreCommit-HBASE-Build/14840//artifact/patchprocess/checkstyle-aggregate.html
Javadoc warnings:
https://builds.apache.org/job/PreCommit-HBASE-Build/14840//artifact/patchprocess/patchJavadocWarnings.txt
Console output:
https://builds.apache.org/job/PreCommit-HBASE-Build/14840//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.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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