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https://issues.apache.org/jira/browse/SPARK-18112?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-18112.
---------------------------------
Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17232
[https://github.com/apache/spark/pull/17232]
> Spark2.x does not support read data from Hive 2.x metastore
> -----------------------------------------------------------
>
> Key: SPARK-18112
> URL: https://issues.apache.org/jira/browse/SPARK-18112
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0, 2.0.1
> Reporter: KaiXu
> Assignee: Xiao Li
> Priority: Critical
> Fix For: 2.2.0
>
>
> Hive2.0 has been released in February 2016, after that Hive2.0.1 and
> Hive2.1.0 have also been released for a long time, but till now spark only
> support to read hive metastore data from Hive1.2.1 and older version, since
> Hive2.x has many bugs fixed and performance improvement it's better and
> urgent to upgrade to support Hive2.x
> failed to load data from hive2.x metastore:
> Exception in thread "main" java.lang.NoSuchFieldError: HIVE_STATS_JDBC_TIMEOUT
> at
> org.apache.spark.sql.hive.HiveUtils$.hiveClientConfigurations(HiveUtils.scala:197)
> at
> org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:262)
> at
> org.apache.spark.sql.hive.HiveSharedState.metadataHive$lzycompute(HiveSharedState.scala:39)
> at
> org.apache.spark.sql.hive.HiveSharedState.metadataHive(HiveSharedState.scala:38)
> at
> org.apache.spark.sql.hive.HiveSharedState.externalCatalog$lzycompute(HiveSharedState.scala:4
> at
> org.apache.spark.sql.hive.HiveSharedState.externalCatalog(HiveSharedState.scala:45)
> at
> org.apache.spark.sql.hive.HiveSessionState.catalog$lzycompute(HiveSessionState.scala:50)
> at
> org.apache.spark.sql.hive.HiveSessionState.catalog(HiveSessionState.scala:48)
> at
> org.apache.spark.sql.hive.HiveSessionState.catalog(HiveSessionState.scala:31)
> at org.apache.spark.sql.SparkSession.table(SparkSession.scala:568)
> at org.apache.spark.sql.SparkSession.table(SparkSession.scala:564)
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