Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/6314#discussion_r30904612
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala ---
@@ -149,22 +149,6 @@ class HiveContext(sc: SparkContext) extends
SQLContext(sc) {
protected[sql] lazy val substitutor = new VariableSubstitution()
/**
- * The copy of the hive client that is used for execution. Currently
this must always be
- * Hive 13 as this is the version of Hive that is packaged with Spark
SQL. This copy of the
- * client is used for execution related tasks like registering temporary
functions or ensuring
- * that the ThreadLocal SessionState is correctly populated. This copy
of Hive is *not* used
- * for storing peristent metadata, and only point to a dummy metastore
in a temporary directory.
- */
- @transient
- protected[hive] lazy val executionHive: ClientWrapper = {
- logInfo(s"Initilizing execution hive, version $hiveExecutionVersion")
- new ClientWrapper(
- version = IsolatedClientLoader.hiveVersion(hiveExecutionVersion),
- config = newTemporaryConfiguration())
--- End diff --
@scwf This is a Spark SQL specific design, which enables us to connect
multiple versions of Hive metastore with a single code base. The
`executionHive` is used for internal jobs within Spark SQL framework, while the
`metadataHive` is used to talk to external Hive metastore.
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