spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Michael Nguyen (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-13726) Spark 1.6.0 stopping working for HiveThriftServer2 and registerTempTable
Date Mon, 07 Mar 2016 23:08:40 GMT

    [ https://issues.apache.org/jira/browse/SPARK-13726?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15183953#comment-15183953
] 

Michael Nguyen commented on SPARK-13726:
----------------------------------------

Thrift server was started with HiveThriftServer2.startWithContext. However, this issue is
not specified to HiveThriftServer2.startWithContext. The preceding cause is that after the
table is regisgtered via DataFrame.registerTempTable, hiveContext.table(registerTableName)
still fails because it does not see that table as registered.

> 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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message