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From "Andriy Kushnir (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-13446) Spark need to support reading data from Hive 2.0.0 metastore
Date Sat, 09 Jul 2016 12:03:10 GMT

    [ https://issues.apache.org/jira/browse/SPARK-13446?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15369066#comment-15369066
] 

Andriy Kushnir commented on SPARK-13446:
----------------------------------------

Any plans for this issue?

> Spark need to support reading data from Hive 2.0.0 metastore
> ------------------------------------------------------------
>
>                 Key: SPARK-13446
>                 URL: https://issues.apache.org/jira/browse/SPARK-13446
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.6.0
>            Reporter: Lifeng Wang
>
> Spark provided HIveContext class to read data from hive metastore directly. While it
only supports hive 1.2.1 version and older. Since hive 2.0.0 has released, it's better to
upgrade to support Hive 2.0.0.
> {noformat}
> 16/02/23 02:35:02 INFO metastore: Trying to connect to metastore with URI thrift://hsw-node13:9083
> 16/02/23 02:35:02 INFO metastore: Opened a connection to metastore, current connections:
1
> 16/02/23 02:35:02 INFO metastore: Connected to metastore.
> Exception in thread "main" java.lang.NoSuchFieldError: HIVE_STATS_JDBC_TIMEOUT
>         at org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:473)
>         at org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:192)
>         at org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:185)
>         at org.apache.spark.sql.hive.HiveContext$$anon$1.<init>(HiveContext.scala:422)
>         at org.apache.spark.sql.hive.HiveContext.catalog$lzycompute(HiveContext.scala:422)
>         at org.apache.spark.sql.hive.HiveContext.catalog(HiveContext.scala:421)
>         at org.apache.spark.sql.hive.HiveContext.catalog(HiveContext.scala:72)
>         at org.apache.spark.sql.SQLContext.table(SQLContext.scala:739)
>         at org.apache.spark.sql.SQLContext.table(SQLContext.scala:735)
> {noformat}



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