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https://issues.apache.org/jira/browse/HBASE-14406?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14961384#comment-14961384
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Hudson commented on HBASE-14406:
--------------------------------
FAILURE: Integrated in HBase-TRUNK #6921 (See
[https://builds.apache.org/job/HBase-TRUNK/6921/])
HBASE-14406 The dataframe datasource filter is wrong, and will result in
(tedyu: rev dae1775a116bdbd4e8554da24dafa00ca8af3fd6)
*
hbase-spark/src/test/scala/org/apache/hadoop/hbase/spark/DynamicLogicExpressionSuite.scala
*
hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/DynamicLogicExpression.scala
*
hbase-spark/src/main/java/org/apache/hadoop/hbase/spark/protobuf/generated/FilterProtos.java
*
hbase-spark/src/main/java/org/apache/hadoop/hbase/spark/SparkSQLPushDownFilter.java
* hbase-spark/src/main/protobuf/Filter.proto
*
hbase-spark/src/test/scala/org/apache/hadoop/hbase/spark/HBaseDStreamFunctionsSuite.scala
* hbase-protocol/src/main/protobuf/Filter.proto
* hbase-spark/pom.xml
*
hbase-spark/src/test/scala/org/apache/hadoop/hbase/spark/DefaultSourceSuite.scala
*
hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/ByteArrayComparable.scala
* hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/DefaultSource.scala
*
hbase-protocol/src/main/java/org/apache/hadoop/hbase/protobuf/generated/FilterProtos.java
> 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-14406.10.patch,
> HBASE-14406.11.patch, HBASE-14406.2.patch, HBASE-14406.3.patch,
> HBASE-14406.4.patch, HBASE-14406.5.patch, HBASE-14406.6.patch,
> HBASE-14406.7.patch, HBASE-14406.9.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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