[jira] [Work started] (HBASE-18570) use hbase-spark without HBaseContext runs into NPE

["Junegunn Choi (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HBASE-18570?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Work on HBASE-18570 started by Junegunn Choi.
---------------------------------------------
> use hbase-spark without HBaseContext runs into NPE
> --------------------------------------------------
>
>                 Key: HBASE-18570
>                 URL: https://issues.apache.org/jira/browse/HBASE-18570
>             Project: HBase
>          Issue Type: Improvement
>    Affects Versions: 1.2.0
>            Reporter: Yuexin Zhang
>            Assignee: Junegunn Choi
>            Priority: Minor
>
> I recently run into the same issue as described in stackoverflow :
> https://stackoverflow.com/questions/38865558/sparksql-dataframes-does-not-work-in-spark-shell-and-application#
> If we don't explicitly initialize a HBaseContext and don't set hbase.use.hbase.context option to false, it will run into NPE at:
> {code}
>     val wrappedConf = new SerializableConfiguration(hbaseContext.config)
> {code}
> https://github.com/apache/hbase/blob/master/hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/DefaultSource.scala#L140
> Should we safe guard with a NULL validation  on hbaseContext?
> Something like: 
> {code}
>     //create or get latest HBaseContext
>   val hbaseContext:HBaseContext = if (useHBaseContext && null != LatestHBaseContextCache.latest) {
>     LatestHBaseContextCache.latest
>   } else {
>     val config = HBaseConfiguration.create()
>     configResources.split(",").foreach( r => config.addResource(r))
>     new HBaseContext(sqlContext.sparkContext, config)
>   }
> {code}
> Or maybe it's better to make sure the HBaseContext is instantiated properly.



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