[SPARK-7758] [SQL] Override more configs to avoid failure when connec…

…t to a postgre sql

https://issues.apache.org/jira/browse/SPARK-7758

When initializing `executionHive`, we only masks
`javax.jdo.option.ConnectionURL` to override metastore location.  However,
other properties that relates to the actual Hive metastore data source are not
masked.  For example, when using Spark SQL with a PostgreSQL backed Hive
metastore, `executionHive` actually tries to use settings read from
`hive-site.xml`, which talks about PostgreSQL, to connect to the temporary
Derby metastore, thus causes error.

To fix this, we need to mask all metastore data source properties.
Specifically, according to the code of [Hive `ObjectStore.getDataSourceProps()`
method] [1], all properties whose name mentions "jdo" and "datanucleus" must be
included.

[1]: https://github.com/apache/hive/blob/release-0.13.1/metastore/src/java/org/apache/hadoop/hive/metastore/ObjectStore.java#L288

Have tested using postgre sql as metastore, it worked fine.

Author: WangTaoTheTonic <wangtao111@huawei.com>

Closes #6314 from WangTaoTheTonic/SPARK-7758 and squashes the following commits:

ca7ae7c [WangTaoTheTonic] add comments
86caf2c [WangTaoTheTonic] delete unused import
e4f0feb [WangTaoTheTonic] block more data source related property
92a81fa [WangTaoTheTonic] fix style check
e3e683d [WangTaoTheTonic] override more configs to avoid failuer connecting to postgre sql

core/src/main/scala/org/apache/spark/SparkContext.scala

@@ -1884,7 +1884,7 @@ class SparkContext(config: SparkConf) extends Logging with ExecutorAllocationCli
    *
    * @param f the closure to clean
    * @param checkSerializable whether or not to immediately check <tt>f</tt> for serializability
-   * @throws <tt>SparkException<tt> if <tt>checkSerializable</tt> is set but <tt>f</tt> is not
+   * @throws SparkException if <tt>checkSerializable</tt> is set but <tt>f</tt> is not
    *   serializable
    */
   private[spark] def clean[F <: AnyRef](f: F, checkSerializable: Boolean = true): F = {

sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala

@@ -25,6 +25,7 @@ import org.apache.hadoop.hive.ql.parse.VariableSubstitution
 import org.apache.spark.sql.catalyst.ParserDialect
 
 import scala.collection.JavaConversions._
+import scala.collection.mutable.HashMap
 import scala.language.implicitConversions
 
 import org.apache.hadoop.fs.{FileSystem, Path}
@@ -153,7 +154,7 @@ class HiveContext(sc: SparkContext) extends SQLContext(sc) {
    * 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.
+   * for storing persistent metadata, and only point to a dummy metastore in a temporary directory.
    */
   @transient
   protected[hive] lazy val executionHive: ClientWrapper = {
@@ -507,8 +508,19 @@ private[hive] object HiveContext {
   def newTemporaryConfiguration(): Map[String, String] = {
     val tempDir = Utils.createTempDir()
     val localMetastore = new File(tempDir, "metastore").getAbsolutePath
-    Map(
-      "javax.jdo.option.ConnectionURL" -> s"jdbc:derby:;databaseName=$localMetastore;create=true")
+    val propMap: HashMap[String, String] = HashMap()
+    // We have to mask all properties in hive-site.xml that relates to metastore data source
+    // as we used a local metastore here.
+    HiveConf.ConfVars.values().foreach { confvar  =>
+      if (confvar.varname.contains("datanucleus") || confvar.varname.contains("jdo")) {
+        propMap.put(confvar.varname, confvar.defaultVal)
+      }
+    }
+    propMap.put("javax.jdo.option.ConnectionURL",
+      s"jdbc:derby:;databaseName=$localMetastore;create=true")
+    propMap.put("datanucleus.rdbms.datastoreAdapterClassName",
+      "org.datanucleus.store.rdbms.adapter.DerbyAdapter")
+    propMap.toMap
   }
 
   protected val primitiveTypes =