Addressed all comments by @pwendell

assembly/pom.xml

@@ -163,6 +163,11 @@
           <artifactId>spark-hive_${scala.binary.version}</artifactId>
           <version>${project.version}</version>
         </dependency>
+      </dependencies>
+    </profile>
+    <profile>
+      <id>hive-thriftserver</id>
+      <dependencies>
         <dependency>
           <groupId>org.apache.spark</groupId>
           <artifactId>spark-hive-thriftserver_${scala.binary.version}</artifactId>

bin/spark-sql

@@ -17,15 +17,8 @@
 # limitations under the License.
 #
 
-SCALA_VERSION=2.10
-
-cygwin=false
-case "`uname`" in
-    CYGWIN*) cygwin=true;;
-esac
-
-# Enter posix mode for bash
-set -o posix
+#
+# Shell script for starting the Spark SQL CLI
 
 # Figure out where Spark is installed
 FWDIR="$(cd `dirname $0`/..; pwd)"
@@ -36,46 +29,5 @@ if [[ "$@" = *--help ]] || [[ "$@" = *-h ]]; then
   exit 0
 fi
 
-ASSEMBLY_DIR="$FWDIR/assembly/target/scala-$SCALA_VERSION"
-
-if [ -n "$JAVA_HOME" ]; then
-  JAR_CMD="$JAVA_HOME/bin/jar"
-else
-  JAR_CMD="jar"
-fi
-
-# Use spark-assembly jar from either RELEASE or assembly directory
-if [ -f "$FWDIR/RELEASE" ]; then
-  assembly_folder="$FWDIR"/lib
-else
-  assembly_folder="$ASSEMBLY_DIR"
-fi
-
-num_jars=$(ls "$assembly_folder" | grep "spark-assembly.*hadoop.*\.jar" | wc -l)
-if [ "$num_jars" -eq "0" ]; then
-  echo "Failed to find Spark assembly in $assembly_folder"
-  echo "You need to build Spark before running this program."
-  exit 1
-fi
-if [ "$num_jars" -gt "1" ]; then
-  jars_list=$(ls "$assembly_folder" | grep "spark-assembly.*hadoop.*.jar")
-  echo "Found multiple Spark assembly jars in $assembly_folder:"
-  echo "$jars_list"
-  echo "Please remove all but one jar."
-  exit 1
-fi
-
-ASSEMBLY_JAR=$(ls "$assembly_folder"/spark-assembly*hadoop*.jar 2>/dev/null)
-
-# Verify that versions of java used to build the jars and run Spark are compatible
-jar_error_check=$("$JAR_CMD" -tf "$ASSEMBLY_JAR" nonexistent/class/path 2>&1)
-if [[ "$jar_error_check" =~ "invalid CEN header" ]]; then
-  echo "Loading Spark jar with '$JAR_CMD' failed. " 1>&2
-  echo "This is likely because Spark was compiled with Java 7 and run " 1>&2
-  echo "with Java 6. (see SPARK-1703). Please use Java 7 to run Spark " 1>&2
-  echo "or build Spark with Java 6." 1>&2
-  exit 1
-fi
-
 CLASS="org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver"
-exec "$FWDIR"/bin/spark-submit --class $CLASS $@ $ASSEMBLY_JAR
+exec "$FWDIR"/bin/spark-submit --class $CLASS $@ spark-internal

core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala

@@ -46,6 +46,10 @@ object SparkSubmit {
   private val CLUSTER = 2
   private val ALL_DEPLOY_MODES = CLIENT | CLUSTER
 
+  // A special jar name that indicates the class being run is inside of Spark itself, and therefore
+  // no user jar is needed.
+  private val SPARK_INTERNAL = "spark-internal"
+
   // Special primary resource names that represent shells rather than application jars.
   private val SPARK_SHELL = "spark-shell"
   private val PYSPARK_SHELL = "pyspark-shell"
@@ -257,7 +261,9 @@ object SparkSubmit {
     // In yarn-cluster mode, use yarn.Client as a wrapper around the user class
     if (clusterManager == YARN && deployMode == CLUSTER) {
       childMainClass = "org.apache.spark.deploy.yarn.Client"
-      childArgs += ("--jar", args.primaryResource)
+      if (args.primaryResource != SPARK_INTERNAL) {
+        childArgs += ("--jar", args.primaryResource)
+      }
       childArgs += ("--class", args.mainClass)
       if (args.childArgs != null) {
         args.childArgs.foreach { arg => childArgs += ("--arg", arg) }
@@ -332,7 +338,7 @@ object SparkSubmit {
    * Return whether the given primary resource represents a user jar.
    */
   private def isUserJar(primaryResource: String): Boolean = {
-    !isShell(primaryResource) && !isPython(primaryResource)
+    !isShell(primaryResource) && !isPython(primaryResource) && !isInternal(primaryResource)
   }
 
   /**
@@ -349,6 +355,10 @@ object SparkSubmit {
     primaryResource.endsWith(".py") || primaryResource == PYSPARK_SHELL
   }
 
+  private[spark] def isInternal(primaryResource: String): Boolean = {
+    primaryResource == SPARK_INTERNAL
+  }
+
   /**
    * Merge a sequence of comma-separated file lists, some of which may be null to indicate
    * no files, into a single comma-separated string.

core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala

@@ -318,7 +318,7 @@ private[spark] class SparkSubmitArguments(args: Seq[String]) {
               SparkSubmit.printErrorAndExit(errMessage)
             case v =>
               primaryResource =
-                if (!SparkSubmit.isShell(v)) {
+                if (!SparkSubmit.isShell(v) && !SparkSubmit.isInternal(v)) {
                   Utils.resolveURI(v).toString
                 } else {
                   v

docs/sql-programming-guide.md

@@ -605,7 +605,7 @@ You may also use the beeline script comes with Hive.
 
 #### Reducer number
 
-In Shark, default reducer number is 1, and can be tuned by property `mapred.reduce.tasks`. In Spark SQL, reducer number is default to 200, and can be customized by the `spark.sql.shuffle.partitions` property:
+In Shark, default reducer number is 1 and is controlled by the property `mapred.reduce.tasks`. Spark SQL deprecates this property by a new property `spark.sql.shuffle.partitions`, whose default value is 200. Users may customize this property via `SET`:
 
 ```
 SET spark.sql.shuffle.partitions=10;
@@ -615,6 +615,8 @@ GROUP BY page ORDER BY c DESC LIMIT 10;
 
 You may also put this property in `hive-site.xml` to override the default value.
 
+For now, the `mapred.reduce.tasks` property is still recognized, and is converted to `spark.sql.shuffle.partitions` automatically.
+
 #### Caching
 
 The `shark.cache` table property no longer exists, and tables whose name end with `_cached` are no longer automcatically cached. Instead, we provide `CACHE TABLE` and `UNCACHE TABLE` statements to let user control table caching explicitly:
@@ -697,7 +699,7 @@ Spark SQL supports the vast majority of Hive features, such as:
 
 #### Unsupported Hive Functionality
 
-Below is a list of Hive features that we don't support yet. Most of these features are rarely  used in Hive deployments.
+Below is a list of Hive features that we don't support yet. Most of these features are rarely used in Hive deployments.
 
 **Major Hive Features**
 
@@ -723,7 +725,7 @@ A handful of Hive optimizations are not yet included in Spark. Some of these (su
 
 * Block level bitmap indexes and virtual columns (used to build indexes)
 * Automatically convert a join to map join: For joining a large table with multiple small tables, Hive automatically converts the join into a map join. We are adding this auto conversion in the next release.
-* Automatically determine the number of reducers for joins and groupbys: Currently in Spark SQL, you need to control the degree of parallelism post-shuffle using "set mapred.reduce.tasks=[num_tasks];". We are going to add auto-setting of parallelism in the next release.
+* Automatically determine the number of reducers for joins and groupbys: Currently in Spark SQL, you need to control the degree of parallelism post-shuffle using "SET spark.sql.shuffle.partitions=[num_tasks];". We are going to add auto-setting of parallelism in the next release.
 * Meta-data only query: For queries that can be answered by using only meta data, Spark SQL still launches tasks to compute the result.
 * Skew data flag: Spark SQL does not follow the skew data flags in Hive.
 * `STREAMTABLE` hint in join: Spark SQL does not follow the `STREAMTABLE` hint.

sbin/start-thriftserver.sh

@@ -20,65 +20,17 @@
 #
 # Shell script for starting the Spark SQL Thrift server
 
-SCALA_VERSION=2.10
-
-cygwin=false
-case "`uname`" in
-    CYGWIN*) cygwin=true;;
-esac
-
 # Enter posix mode for bash
 set -o posix
 
+# Figure out where Spark is installed
+FWDIR="$(cd `dirname $0`/..; pwd)"
+
 if [[ "$@" = *--help ]] || [[ "$@" = *-h ]]; then
   echo "Usage: ./sbin/start-thriftserver [options]"
   $FWDIR/bin/spark-submit --help 2>&1 | grep -v Usage 1>&2
   exit 0
 fi
 
-# Figure out where Spark is installed
-FWDIR="$(cd `dirname $0`/..; pwd)"
-
-ASSEMBLY_DIR="$FWDIR/assembly/target/scala-$SCALA_VERSION"
-
-if [ -n "$JAVA_HOME" ]; then
-  JAR_CMD="$JAVA_HOME/bin/jar"
-else
-  JAR_CMD="jar"
-fi
-
-# Use spark-assembly jar from either RELEASE or assembly directory
-if [ -f "$FWDIR/RELEASE" ]; then
-  assembly_folder="$FWDIR"/lib
-else
-  assembly_folder="$ASSEMBLY_DIR"
-fi
-
-num_jars=$(ls "$assembly_folder" | grep "spark-assembly.*hadoop.*\.jar" | wc -l)
-if [ "$num_jars" -eq "0" ]; then
-  echo "Failed to find Spark assembly in $assembly_folder"
-  echo "You need to build Spark before running this program."
-  exit 1
-fi
-if [ "$num_jars" -gt "1" ]; then
-  jars_list=$(ls "$assembly_folder" | grep "spark-assembly.*hadoop.*.jar")
-  echo "Found multiple Spark assembly jars in $assembly_folder:"
-  echo "$jars_list"
-  echo "Please remove all but one jar."
-  exit 1
-fi
-
-ASSEMBLY_JAR=$(ls "$assembly_folder"/spark-assembly*hadoop*.jar 2>/dev/null)
-
-# Verify that versions of java used to build the jars and run Spark are compatible
-jar_error_check=$("$JAR_CMD" -tf "$ASSEMBLY_JAR" nonexistent/class/path 2>&1)
-if [[ "$jar_error_check" =~ "invalid CEN header" ]]; then
-  echo "Loading Spark jar with '$JAR_CMD' failed. " 1>&2
-  echo "This is likely because Spark was compiled with Java 7 and run " 1>&2
-  echo "with Java 6. (see SPARK-1703). Please use Java 7 to run Spark " 1>&2
-  echo "or build Spark with Java 6." 1>&2
-  exit 1
-fi
-
 CLASS="org.apache.spark.sql.hive.thriftserver.HiveThriftServer2"
-exec "$FWDIR"/bin/spark-submit --class $CLASS $@ $ASSEMBLY_JAR
+exec "$FWDIR"/bin/spark-submit --class $CLASS $@ spark-internal

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

@@ -30,24 +30,24 @@ import scala.collection.JavaConverters._
  * SQLConf is thread-safe (internally synchronized so safe to be used in multiple threads).
  */
 trait SQLConf {
+  import SQLConf._
 
   /** ************************ Spark SQL Params/Hints ******************* */
   // TODO: refactor so that these hints accessors don't pollute the name space of SQLContext?
 
   /** Number of partitions to use for shuffle operators. */
-  private[spark] def numShufflePartitions: Int = get("spark.sql.shuffle.partitions", "200").toInt
+  private[spark] def numShufflePartitions: Int = get(SHUFFLE_PARTITIONS, "200").toInt
 
   /**
    * Upper bound on the sizes (in bytes) of the tables qualified for the auto conversion to
    * a broadcast value during the physical executions of join operations.  Setting this to 0
    * effectively disables auto conversion.
    * Hive setting: hive.auto.convert.join.noconditionaltask.size.
    */
-  private[spark] def autoConvertJoinSize: Int =
-    get("spark.sql.auto.convert.join.size", "10000").toInt
+  private[spark] def autoConvertJoinSize: Int = get(AUTO_CONVERT_JOIN_SIZE, "10000").toInt
 
   /** A comma-separated list of table names marked to be broadcasted during joins. */
-  private[spark] def joinBroadcastTables: String = get("spark.sql.join.broadcastTables", "")
+  private[spark] def joinBroadcastTables: String = get(JOIN_BROADCAST_TABLES, "")
 
   /** ********************** SQLConf functionality methods ************ */
 
@@ -61,7 +61,7 @@ trait SQLConf {
 
   def set(key: String, value: String): Unit = {
     require(key != null, "key cannot be null")
-    require(value != null, s"value cannot be null for ${key}")
+    require(value != null, s"value cannot be null for $key")
     settings.put(key, value)
   }
 
@@ -90,3 +90,13 @@ trait SQLConf {
   }
 
 }
+
+object SQLConf {
+  val AUTO_CONVERT_JOIN_SIZE = "spark.sql.auto.convert.join.size"
+  val SHUFFLE_PARTITIONS = "spark.sql.shuffle.partitions"
+  val JOIN_BROADCAST_TABLES = "spark.sql.join.broadcastTables"
+
+  object Deprecated {
+    val MAPRED_REDUCE_TASKS = "mapred.reduce.tasks"
+  }
+}

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

@@ -17,12 +17,13 @@
 
 package org.apache.spark.sql.execution
 
+import org.apache.spark.Logging
 import org.apache.spark.annotation.DeveloperApi
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.catalyst.errors.TreeNodeException
 import org.apache.spark.sql.catalyst.expressions.{Attribute, GenericRow}
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
-import org.apache.spark.sql.{Row, SQLContext}
+import org.apache.spark.sql.{Row, SQLConf, SQLContext}
 
 trait Command {
   /**
@@ -44,13 +45,20 @@ trait Command {
 case class SetCommand(
     key: Option[String], value: Option[String], output: Seq[Attribute])(
     @transient context: SQLContext)
-  extends LeafNode with Command {
+  extends LeafNode with Command with Logging {
 
   override protected[sql] lazy val sideEffectResult: Seq[String] = (key, value) match {
     // Set value for key k.
     case (Some(k), Some(v)) =>
-      context.set(k, v)
-      Array(s"$k=$v")
+      if (k == SQLConf.Deprecated.MAPRED_REDUCE_TASKS) {
+        logWarning(s"Property ${SQLConf.Deprecated.MAPRED_REDUCE_TASKS} is deprecated, " +
+          s"automatically converted to ${SQLConf.SHUFFLE_PARTITIONS} instead.")
+        context.set(SQLConf.SHUFFLE_PARTITIONS, v)
+        Array(s"${SQLConf.SHUFFLE_PARTITIONS}=$v")
+      } else {
+        context.set(k, v)
+        Array(s"$k=$v")
+      }
 
     // Query the value bound to key k.
     case (Some(k), _) =>

sql/hive-thriftserver/pom.xml

@@ -70,6 +70,13 @@
         <groupId>org.scalatest</groupId>
         <artifactId>scalatest-maven-plugin</artifactId>
       </plugin>
+      <plugin>
+        <groupId>org.apache.maven.plugins</groupId>
+        <artifactId>maven-deploy-plugin</artifactId>
+        <configuration>
+          <skip>true</skip>
+        </configuration>
+      </plugin>
     </plugins>
   </build>
 </project>

sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/HiveThriftServer2.scala

@@ -30,7 +30,7 @@ import org.apache.spark.sql.hive.thriftserver.ReflectionUtils._
  * The main entry point for the Spark SQL port of HiveServer2.  Starts up a `SparkSQLContext` and a
  * `HiveThriftServer2` thrift server.
  */
-object HiveThriftServer2 extends Logging {
+private[hive] object HiveThriftServer2 extends Logging {
   var LOG = LogFactory.getLog(classOf[HiveServer2])
 
   def main(args: Array[String]) {
@@ -73,7 +73,7 @@ object HiveThriftServer2 extends Logging {
   }
 }
 
-class HiveThriftServer2(hiveContext: HiveContext)
+private[hive] class HiveThriftServer2(hiveContext: HiveContext)
   extends HiveServer2
   with ReflectedCompositeService {
 

sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/ReflectionUtils.scala

@@ -17,7 +17,7 @@
 
 package org.apache.spark.sql.hive.thriftserver
 
-object ReflectionUtils {
+private[hive] object ReflectionUtils {
   def setSuperField(obj : Object, fieldName: String, fieldValue: Object) {
     setAncestorField(obj, 1, fieldName, fieldValue)
   }

sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/SparkSQLCLIDriver.scala

@@ -39,7 +39,7 @@ import org.apache.thrift.transport.TSocket
 
 import org.apache.spark.sql.Logging
 
-object SparkSQLCLIDriver {
+private[hive] object SparkSQLCLIDriver {
   private var prompt = "spark-sql"
   private var continuedPrompt = "".padTo(prompt.length, ' ')
   private var transport:TSocket = _
@@ -240,8 +240,7 @@ object SparkSQLCLIDriver {
   }
 }
 
-
-class SparkSQLCLIDriver extends CliDriver with Logging {
+private[hive] class SparkSQLCLIDriver extends CliDriver with Logging {
   private val sessionState = SessionState.get().asInstanceOf[CliSessionState]
 
   private val LOG = LogFactory.getLog("CliDriver")

sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/SparkSQLCLIService.scala

@@ -34,7 +34,7 @@ import org.apache.hive.service.{AbstractService, Service, ServiceException}
 import org.apache.spark.sql.hive.HiveContext
 import org.apache.spark.sql.hive.thriftserver.ReflectionUtils._
 
-class SparkSQLCLIService(hiveContext: HiveContext)
+private[hive] class SparkSQLCLIService(hiveContext: HiveContext)
   extends CLIService
   with ReflectedCompositeService {