Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/6627#discussion_r32277894
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/client/package.scala ---
@@ -19,15 +19,27 @@ package org.apache.spark.sql.hive
/** Support for interacting with different versions of the
HiveMetastoreClient */
package object client {
- private[client] abstract class HiveVersion(val fullVersion: String, val
hasBuiltinsJar: Boolean)
+ private[client] abstract class HiveVersion(
+ val fullVersion: String,
+ val extraDeps: Seq[String] = Nil,
+ val exclusions: Seq[String] = Nil)
// scalastyle:off
private[client] object hive {
- case object v10 extends HiveVersion("0.10.0", true)
- case object v11 extends HiveVersion("0.11.0", false)
- case object v12 extends HiveVersion("0.12.0", false)
- case object v13 extends HiveVersion("0.13.1", false)
+ case object v12 extends HiveVersion("0.12.0")
+ case object v13 extends HiveVersion("0.13.1")
+
+ // Hive 0.14 depends on calcite 0.9.2-incubating-SNAPSHOT which does
not exist in
+ // maven central anymore, so override those with a version that exists.
+ //
+ // org.pentaho:pentaho-aggdesigner-algorithm is also nowhere to be
found, so exclude
+ // it explicitly. If it's needed by the metastore client, users will
have to dig it
+ // out of somewhere and use configuration to point Spark at the
correct jars.
--- End diff --
By default Spark SQL will use the hive jars that are bundled with Spark,
and for read deployments I expect most users will do as @vanzin suggests and
set `spark.sql.hive.metastore.jars`. This is really just for testing all the
versions easily. If someone wants to come up with a way to easily package all
the various hive versions and find a way to get them on to jenkins / other
places people want to run the tests we could use that instead.
@vanzin maybe we should open a JIRA for Hive though, as it would be good if
we can depend on them directly eventually and the probably don't realize that
is not possible.
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