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https://issues.apache.org/jira/browse/SPARK-17538?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Srinivas Rishindra Pothireddi updated SPARK-17538:
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Labels: pyspark (was: )
> sqlContext.registerDataFrameAsTable is not working sometimes in pyspark 2.0.0
> -----------------------------------------------------------------------------
>
> Key: SPARK-17538
> URL: https://issues.apache.org/jira/browse/SPARK-17538
> Project: Spark
> Issue Type: Bug
> Affects Versions: 2.0.0, 2.0.1, 2.1.0
> Environment: os - linux
> cluster -> yarn and local
> Reporter: Srinivas Rishindra Pothireddi
> Priority: Critical
> Labels: pyspark
> Fix For: 2.0.1, 2.1.0
>
>
> I have a production job in spark 1.6.2 that registers four dataframes as
> tables. After testing the job in spark 2.0.0 one of the dataframes is not
> getting registered as a table.
> output of sqlContext.tableNames() just after registering the fourth dataframe
> in spark 1.6.2 is
> temp1,temp2,temp3,temp4
> output of sqlContext.tableNames() just after registering the fourth dataframe
> in spark 2.0.0 is
> temp1,temp2,temp3
> so when the table 'temp4' is used by the job at a later stage an
> AnalysisException is raised in spark 2.0.0
> There are no changes in the code whatsoever.
>
>
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