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https://issues.apache.org/jira/browse/SPARK-13726?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15184062#comment-15184062
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Michael Nguyen commented on SPARK-13726:
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That works. Thanks, Yin, for the work-around solution. Does setting
spark.sql.hive.thriftServer.singleSession to true
1. Limit Hive to support only one JDBC connection or one query at a time ? Or
2. Performance for running multiple queries from multiple JDBC connections at
the same time ?
If so, could you provide a long-term solution that do not have these issues ?
> Spark 1.6.0 stopping working for HiveThriftServer2 and registerTempTable
> ------------------------------------------------------------------------
>
> Key: SPARK-13726
> URL: https://issues.apache.org/jira/browse/SPARK-13726
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.0
> Reporter: Michael Nguyen
> Priority: Blocker
>
> In Spark 1.5.2, DataFrame.registerTempTable works and
> hiveContext.table(registerTableName) and HiveThriftServer2 see those tables.
> In Spark 1.6.0, hiveContext.table(registerTableName) and HiveThriftServer2 do
> not see those tables, even though DataFrame.registerTempTable does not return
> an error.
> Since this feature used to work in Spark 1.5.2, there is existing code that
> breaks after upgrading to Spark 1.6.0. so this issue is a blocker and urgent.
> Therefore, please have it fixed asap.
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