[SPARK-6908] [SQL] Use isolated Hive client

This PR switches Spark SQL's Hive support to use the isolated hive client interface introduced by #5851, instead of directly interacting with the client.  By using this isolated client we can now allow users to dynamically configure the version of Hive that they are connecting to by setting `spark.sql.hive.metastore.version` without the need recompile.  This also greatly reduces the surface area for our interaction with the hive libraries, hopefully making it easier to support other versions in the future.

Jars for the desired hive version can be configured using `spark.sql.hive.metastore.jars`, which accepts the following options:
 - a colon-separated list of jar files or directories for hive and hadoop.
 - `builtin` - attempt to discover the jars that were used to load Spark SQL and use those. This
            option is only valid when using the execution version of Hive.
 - `maven` - download the correct version of hive on demand from maven.

By default, `builtin` is used for Hive 13.

This PR also removes the test step for building against Hive 12, as this will no longer be required to talk to Hive 12 metastores.  However, the full removal of the Shim is deferred until a later PR.

Remaining TODOs:
 - Remove the Hive Shims and inline code for Hive 13.
 - Several HiveCompatibility tests are not yet passing.
  - `nullformatCTAS` - As detailed below, we now are handling CTAS parsing ourselves instead of hacking into the Hive semantic analyzer.  However, we currently only handle the common cases and not things like CTAS where the null format is specified.
  - `combine1` now leaks state about compression somehow, breaking all subsequent tests.  As such we currently add it to the blacklist
  - `part_inherit_tbl_props` and `part_inherit_tbl_props_with_star` do not work anymore.  We are correctly propagating the information
  - "load_dyn_part14.*" - These tests pass when run on their own, but fail when run with all other tests.  It seems our `RESET` mechanism may not be as robust as it used to be?

Other required changes:
 -  `CreateTableAsSelect` no longer carries parts of the HiveQL AST with it through the query execution pipeline.  Instead, we parse CTAS during the HiveQL conversion and construct a `HiveTable`.  The full parsing here is not yet complete as detailed above in the remaining TODOs.  Since the operator is Hive specific, it is moved to the hive package.
 - `Command` is simplified to be a trait that simply acts as a marker for a LogicalPlan that should be eagerly evaluated.

Author: Michael Armbrust <[email protected]>

Closes #5876 from marmbrus/useIsolatedClient and squashes the following commits:

258d000 [Michael Armbrust] really really correct path handling
e56fd4a [Michael Armbrust] getAbsolutePath
5a259f5 [Michael Armbrust] fix typos
81bb366 [Michael Armbrust] comments from vanzin
5f3945e [Michael Armbrust] Merge remote-tracking branch 'origin/master' into useIsolatedClient
4b5cd41 [Michael Armbrust] yin's comments
f5de7de [Michael Armbrust] cleanup
11e9c72 [Michael Armbrust] better coverage in versions suite
7e8f010 [Michael Armbrust] better error messages and jar handling
e7b3941 [Michael Armbrust] more permisive checking for function registration
da91ba7 [Michael Armbrust] Merge remote-tracking branch 'origin/master' into useIsolatedClient
5fe5894 [Michael Armbrust] fix serialization suite
81711c4 [Michael Armbrust] Initial support for running without maven
1d8ae44 [Michael Armbrust] fix final tests?
1c50813 [Michael Armbrust] more comments
a3bee70 [Michael Armbrust] Merge remote-tracking branch 'origin/master' into useIsolatedClient
a6f5df1 [Michael Armbrust] style
ab07f7e [Michael Armbrust] WIP
4d8bf02 [Michael Armbrust] Remove hive 12 compilation
8843a25 [Michael Armbrust] [SPARK-6908] [SQL] Use isolated Hive client

(cherry picked from commit cd1d411)
Signed-off-by: Yin Huai <[email protected]>

Author: marmbrus

dev/run-tests

@@ -142,29 +142,6 @@ CURRENT_BLOCK=$BLOCK_BUILD
 
 {
   HIVE_BUILD_ARGS="$SBT_MAVEN_PROFILES_ARGS -Phive -Phive-thriftserver"
-  HIVE_12_BUILD_ARGS="$HIVE_BUILD_ARGS -Phive-0.12.0"
-
-  # First build with Hive 0.12.0 to ensure patches do not break the Hive 0.12.0 build
-  echo "[info] Compile with Hive 0.12.0"
-  [ -d "lib_managed" ] && rm -rf lib_managed
-  echo "[info] Building Spark with these arguments: $HIVE_12_BUILD_ARGS"
-
-  if [ "${AMPLAB_JENKINS_BUILD_TOOL}" == "maven" ]; then
-    build/mvn $HIVE_12_BUILD_ARGS clean package -DskipTests
-  else
-    # NOTE: echo "q" is needed because sbt on encountering a build file with failure
-    # (either resolution or compilation) prompts the user for input either q, r, etc
-    # to quit or retry. This echo is there to make it not block.
-    # NOTE: Do not quote $BUILD_MVN_PROFILE_ARGS or else it will be interpreted as a
-    # single argument!
-    # QUESTION: Why doesn't 'yes "q"' work?
-    # QUESTION: Why doesn't 'grep -v -e "^\[info\] Resolving"' work?
-    echo -e "q\n" \
-      | build/sbt $HIVE_12_BUILD_ARGS clean hive/compile hive-thriftserver/compile \
-      | grep -v -e "info.*Resolving" -e "warn.*Merging" -e "info.*Including"
-  fi
-
-  # Then build with default Hive version (0.13.1) because tests are based on this version
   echo "[info] Compile with Hive 0.13.1"
   [ -d "lib_managed" ] && rm -rf lib_managed
   echo "[info] Building Spark with these arguments: $HIVE_BUILD_ARGS"

project/MimaExcludes.scala

@@ -89,6 +89,8 @@ object MimaExcludes {
             ProblemFilters.exclude[MissingMethodProblem](
               "org.apache.spark.mllib.linalg.Vector.numActives")
           ) ++ Seq(
+            // Execution should never be included as its always internal.
+            MimaBuild.excludeSparkPackage("sql.execution"),
             // This `protected[sql]` method was removed in 1.3.1
             ProblemFilters.exclude[MissingMethodProblem](
               "org.apache.spark.sql.SQLContext.checkAnalysis"),

project/SparkBuild.scala

@@ -193,6 +193,7 @@ object SparkBuild extends PomBuild {
    * Usage: `build/sbt sparkShell`
    */
   val sparkShell = taskKey[Unit]("start a spark-shell.")
+  val sparkSql = taskKey[Unit]("starts the spark sql CLI.")
 
   enable(Seq(
     connectInput in run := true,
@@ -203,6 +204,12 @@ object SparkBuild extends PomBuild {
 
     sparkShell := {
       (runMain in Compile).toTask(" org.apache.spark.repl.Main -usejavacp").value
+    },
+
+    javaOptions in Compile += "-Dspark.master=local",
+
+    sparkSql := {
+      (runMain in Compile).toTask(" org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver").value
     }
   ))(assembly)
 
@@ -497,7 +504,7 @@ object TestSettings {
     // Setting SPARK_DIST_CLASSPATH is a simple way to make sure any child processes
     // launched by the tests have access to the correct test-time classpath.
     envVars in Test ++= Map(
-      "SPARK_DIST_CLASSPATH" -> 
+      "SPARK_DIST_CLASSPATH" ->
         (fullClasspath in Test).value.files.map(_.getAbsolutePath).mkString(":").stripSuffix(":"),
       "JAVA_HOME" -> sys.env.get("JAVA_HOME").getOrElse(sys.props("java.home"))),
     javaOptions in Test += "-Dspark.test.home=" + sparkHome,

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicOperators.scala

@@ -149,16 +149,6 @@ case class InsertIntoTable(
   }
 }
 
-case class CreateTableAsSelect[T](
-    databaseName: Option[String],
-    tableName: String,
-    child: LogicalPlan,
-    allowExisting: Boolean,
-    desc: Option[T] = None) extends UnaryNode {
-  override def output: Seq[Attribute] = Seq.empty[Attribute]
-  override lazy val resolved: Boolean = databaseName != None && childrenResolved
-}
-
 /**
  * A container for holding named common table expressions (CTEs) and a query plan.
  * This operator will be removed during analysis and the relations will be substituted into child.
@@ -184,10 +174,10 @@ case class WriteToFile(
 }
 
 /**
- * @param order  The ordering expressions 
- * @param global True means global sorting apply for entire data set, 
+ * @param order  The ordering expressions
+ * @param global True means global sorting apply for entire data set,
  *               False means sorting only apply within the partition.
- * @param child  Child logical plan              
+ * @param child  Child logical plan
  */
 case class Sort(
     order: Seq[SortOrder],

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/commands.scala

@@ -21,9 +21,7 @@ import org.apache.spark.sql.catalyst.expressions.Attribute
 
 /**
  * A logical node that represents a non-query command to be executed by the system.  For example,
- * commands can be used by parsers to represent DDL operations.
+ * commands can be used by parsers to represent DDL operations.  Commands, unlike queries, are
+ * eagerly executed.
  */
-abstract class Command extends LeafNode {
-  self: Product =>
-  def output: Seq[Attribute] = Seq.empty
-}
+trait Command

sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/SqlParserSuite.scala

@@ -17,11 +17,15 @@
 
 package org.apache.spark.sql.catalyst
 
+import org.apache.spark.sql.catalyst.expressions.Attribute
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 import org.apache.spark.sql.catalyst.plans.logical.Command
 import org.scalatest.FunSuite
 
-private[sql] case class TestCommand(cmd: String) extends Command
+private[sql] case class TestCommand(cmd: String) extends LogicalPlan with Command {
+  override def output: Seq[Attribute] = Seq.empty
+  override def children: Seq[LogicalPlan] = Seq.empty
+}
 
 private[sql] class SuperLongKeywordTestParser extends AbstractSparkSQLParser {
   protected val EXECUTE   = Keyword("THISISASUPERLONGKEYWORDTEST")

sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala

@@ -143,7 +143,6 @@ class DataFrame private[sql](
     // happen right away to let these side effects take place eagerly.
     case _: Command |
          _: InsertIntoTable |
-         _: CreateTableAsSelect[_] |
          _: CreateTableUsingAsSelect |
          _: WriteToFile =>
       LogicalRDD(queryExecution.analyzed.output, queryExecution.toRdd)(sqlContext)

sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala

@@ -70,7 +70,7 @@ import org.apache.spark.{Partition, SparkContext}
  *   spark-sql> SELECT * FROM src LIMIT 1;
  *
  *-- Exception will be thrown and switch to dialect
- *-- "sql" (for SQLContext) or 
+ *-- "sql" (for SQLContext) or
  *-- "hiveql" (for HiveContext)
  * }}}
  */
@@ -107,7 +107,7 @@ class SQLContext(@transient val sparkContext: SparkContext)
   /**
    * @return Spark SQL configuration
    */
-  protected[sql] def conf = tlSession.get().conf
+  protected[sql] def conf = currentSession().conf
 
   /**
    * Set Spark SQL configuration properties.
@@ -1197,13 +1197,17 @@ class SQLContext(@transient val sparkContext: SparkContext)
          |${stringOrError(executedPlan)}
       """.stripMargin.trim
 
-    override def toString: String =
+    override def toString: String = {
+      def output =
+        analyzed.output.map(o => s"${o.name}: ${o.dataType.simpleString}").mkString(", ")
+
       // TODO previously will output RDD details by run (${stringOrError(toRdd.toDebugString)})
       // however, the `toRdd` will cause the real execution, which is not what we want.
       // We need to think about how to avoid the side effect.
       s"""== Parsed Logical Plan ==
          |${stringOrError(logical)}
          |== Analyzed Logical Plan ==
+         |${stringOrError(output)}
          |${stringOrError(analyzed)}
          |== Optimized Logical Plan ==
          |${stringOrError(optimizedPlan)}
@@ -1212,6 +1216,7 @@ class SQLContext(@transient val sparkContext: SparkContext)
          |Code Generation: ${stringOrError(executedPlan.codegenEnabled)}
          |== RDD ==
       """.stripMargin.trim
+    }
   }
 
   /**

sql/core/src/main/scala/org/apache/spark/sql/execution/commands.scala

@@ -32,9 +32,11 @@ import org.apache.spark.sql.{DataFrame, SQLConf, SQLContext}
  * A logical command that is executed for its side-effects.  `RunnableCommand`s are
  * wrapped in `ExecutedCommand` during execution.
  */
-trait RunnableCommand extends logical.Command {
+private[sql] trait RunnableCommand extends LogicalPlan with logical.Command {
   self: Product =>
 
+  override def output: Seq[Attribute] = Seq.empty
+  override def children: Seq[LogicalPlan] = Seq.empty
   def run(sqlContext: SQLContext): Seq[Row]
 }
 

sql/core/src/main/scala/org/apache/spark/sql/sources/ddl.scala

@@ -269,8 +269,10 @@ private[sql] case class ResolvedDataSource(provider: Class[_], relation: BaseRel
  */
 private[sql] case class DescribeCommand(
     table: LogicalPlan,
-    isExtended: Boolean) extends Command {
-  override val output = Seq(
+    isExtended: Boolean) extends LogicalPlan with Command {
+
+  override def children: Seq[LogicalPlan] = Seq.empty
+  override val output: Seq[Attribute] = Seq(
     // Column names are based on Hive.
     AttributeReference("col_name", StringType, nullable = false,
       new MetadataBuilder().putString("comment", "name of the column").build())(),
@@ -292,7 +294,11 @@ private[sql] case class CreateTableUsing(
     temporary: Boolean,
     options: Map[String, String],
     allowExisting: Boolean,
-    managedIfNoPath: Boolean) extends Command
+    managedIfNoPath: Boolean) extends LogicalPlan with Command {
+
+  override def output: Seq[Attribute] = Seq.empty
+  override def children: Seq[LogicalPlan] = Seq.empty
+}
 
 /**
  * A node used to support CTAS statements and saveAsTable for the data source API.
@@ -318,7 +324,7 @@ private[sql] case class CreateTempTableUsing(
     provider: String,
     options: Map[String, String]) extends RunnableCommand {
 
-  def run(sqlContext: SQLContext): Seq[Row] = {
+  override def run(sqlContext: SQLContext): Seq[Row] = {
     val resolved = ResolvedDataSource(sqlContext, userSpecifiedSchema, provider, options)
     sqlContext.registerDataFrameAsTable(
       DataFrame(sqlContext, LogicalRelation(resolved.relation)), tableName)
@@ -333,7 +339,7 @@ private[sql] case class CreateTempTableUsingAsSelect(
     options: Map[String, String],
     query: LogicalPlan) extends RunnableCommand {
 
-  def run(sqlContext: SQLContext): Seq[Row] = {
+  override def run(sqlContext: SQLContext): Seq[Row] = {
     val df = DataFrame(sqlContext, query)
     val resolved = ResolvedDataSource(sqlContext, provider, mode, options, df)
     sqlContext.registerDataFrameAsTable(