[ https://issues.apache.org/jira/browse/SPARK-13446?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16589790#comment-16589790
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Leo Gallucci commented on SPARK-13446:
--------------------------------------
This line is still in the source code:
https://github.com/apache/spark/blob/2a0a8f753bbdc8c251f8e699c0808f35b94cfd20/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveUtils.scala#L204
Hitting the problem with Spark 2.3.1 Hadoop 3.1.1 Hive 3.1.0
> 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
> Assignee: Xiao Li
> Priority: Major
> Fix For: 2.2.0
>
>
> 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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