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From "Hudson (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-14796) Enhance the Gets in the connector
Date Tue, 29 Dec 2015 03:28:49 GMT

    [ https://issues.apache.org/jira/browse/HBASE-14796?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15073420#comment-15073420
] 

Hudson commented on HBASE-14796:
--------------------------------

FAILURE: Integrated in HBase-Trunk_matrix #595 (See [https://builds.apache.org/job/HBase-Trunk_matrix/595/])
HBASE-14796 Enhance the Gets in the connector (Zhan Zhang) (tedyu: rev 6868c6366002d5b4e25980f37ede8839e7a7e92d)
* hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/datasources/HBaseSparkConf.scala
* hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/datasources/Bound.scala
* hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/datasources/HBaseTableScanRDD.scala
* hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/datasources/HBaseResources.scala
* hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/DefaultSource.scala


> Enhance the Gets in the connector
> ---------------------------------
>
>                 Key: HBASE-14796
>                 URL: https://issues.apache.org/jira/browse/HBASE-14796
>             Project: HBase
>          Issue Type: Improvement
>            Reporter: Ted Malaska
>            Assignee: Zhan Zhang
>            Priority: Minor
>             Fix For: 2.0.0
>
>         Attachments: HBASE-14796-1.patch, HBASE-14976.patch
>
>
> Current the Spark-Module Spark SQL implementation gets records from HBase from the driver
if there is something like the following found in the SQL.
> rowkey = 123
> The reason for this original was normal sql will not have many equal operations in a
single where clause.
> Zhan, had brought up too points that have value.
> 1. The SQL may be generated and may have many many equal statements in it so moving the
work to an executor protects the driver from load
> 2. In the correct implementation the drive is connecting to HBase and exceptions may
cause trouble with the Spark application and not just with the a single task execution



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