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https://issues.apache.org/jira/browse/HBASE-14406?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14953738#comment-14953738
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Ted Yu commented on HBASE-14406:
--------------------------------

Running test against patch v4:
{code}
Discovery starting.
Discovery completed in 1 second, 98 milliseconds.
Run starting. Expected test count is: 43
HBaseDStreamFunctionsSuite:
Formatting using clusterid: testClusterID
- bulkput to test HBase client *** FAILED ***
  java.lang.NullPointerException:
  at org.apache.hadoop.hbase.CellUtil.cloneValue(CellUtil.java:98)
  at 
org.apache.hadoop.hbase.spark.HBaseDStreamFunctionsSuite$$anonfun$1.apply$mcV$sp(HBaseDStreamFunctionsSuite.scala:116)
  at 
org.apache.hadoop.hbase.spark.HBaseDStreamFunctionsSuite$$anonfun$1.apply(HBaseDStreamFunctionsSuite.scala:62)
  at 
org.apache.hadoop.hbase.spark.HBaseDStreamFunctionsSuite$$anonfun$1.apply(HBaseDStreamFunctionsSuite.scala:62)
  at 
org.scalatest.Transformer$$anonfun$apply$1.apply$mcV$sp(Transformer.scala:22)
  at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
  at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
  at org.scalatest.Transformer.apply(Transformer.scala:22)
  at org.scalatest.Transformer.apply(Transformer.scala:20)
  at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:166)
{code}

> The dataframe datasource filter is wrong, and will result in data loss or 
> unexpected behavior
> ---------------------------------------------------------------------------------------------
>
>                 Key: HBASE-14406
>                 URL: https://issues.apache.org/jira/browse/HBASE-14406
>             Project: HBase
>          Issue Type: Bug
>          Components: spark
>    Affects Versions: 2.0.0
>            Reporter: Zhan Zhang
>            Assignee: Ted Malaska
>            Priority: Blocker
>             Fix For: 2.0.0
>
>         Attachments: HBASE-14406.1.patch, HBASE-14406.2.patch, 
> HBASE-14406.3.patch, HBASE-14406.4.patch, HBASE-14406.5.patch
>
>
> Following condition will result in the same filter. It will have data loss 
> with the current filter construction.
> col1 > 4 && col2 < 3
> col1 > 4 || col2 < 3



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