[SPARK-14601][DOC] Minor doc/usage changes related to removal of Spark assembly

bin/spark-class2.cmd

@@ -36,7 +36,7 @@ if exist "%SPARK_HOME%\RELEASE" (
 )
 
 if not exist "%SPARK_JARS_DIR%"\ (
-  echo Failed to find Spark assembly JAR.
+  echo Failed to find Spark jars directory.
   echo You need to build Spark before running this program.
   exit /b 1
 )

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

@@ -62,7 +62,7 @@ object PythonRunner {
     // ready to serve connections.
     thread.join()
 
-    // Build up a PYTHONPATH that includes the Spark assembly JAR (where this class is), the
+    // Build up a PYTHONPATH that includes the Spark assembly (where this class is), the
     // python directories in SPARK_HOME (if set), and any files in the pyFiles argument
     val pathElements = new ArrayBuffer[String]
     pathElements ++= formattedPyFiles

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

@@ -478,7 +478,8 @@ private[deploy] class SparkSubmitArguments(args: Seq[String], env: Map[String, S
     val command = sys.env.get("_SPARK_CMD_USAGE").getOrElse(
       """Usage: spark-submit [options] <app jar | python file> [app arguments]
         |Usage: spark-submit --kill [submission ID] --master [spark://...]
-        |Usage: spark-submit --status [submission ID] --master [spark://...]""".stripMargin)
+        |Usage: spark-submit --status [submission ID] --master [spark://...]
+        |Usage: spark-submit run-example [options] example-class [example args]""".stripMargin)
     outStream.println(command)
 
     val mem_mb = Utils.DEFAULT_DRIVER_MEM_MB

docs/building-spark.md

@@ -192,7 +192,7 @@ If you have JDK 8 installed but it is not the system default, you can set JAVA_H
 
 # Packaging without Hadoop Dependencies for YARN
 
-The assembly jar produced by `mvn package` will, by default, include all of Spark's dependencies, including Hadoop and some of its ecosystem projects. On YARN deployments, this causes multiple versions of these to appear on executor classpaths: the version packaged in the Spark assembly and the version on each node, included with `yarn.application.classpath`.  The `hadoop-provided` profile builds the assembly without including Hadoop-ecosystem projects, like ZooKeeper and Hadoop itself.
+The assembly directory produced by `mvn package` will, by default, include all of Spark's dependencies, including Hadoop and some of its ecosystem projects. On YARN deployments, this causes multiple versions of these to appear on executor classpaths: the version packaged in the Spark assembly and the version on each node, included with `yarn.application.classpath`.  The `hadoop-provided` profile builds the assembly without including Hadoop-ecosystem projects, like ZooKeeper and Hadoop itself.
 
 # Building with SBT
 

docs/sql-programming-guide.md

@@ -1651,7 +1651,7 @@ SELECT * FROM jsonTable
 Spark SQL also supports reading and writing data stored in [Apache Hive](http://hive.apache.org/).
 However, since Hive has a large number of dependencies, it is not included in the default Spark assembly.
 Hive support is enabled by adding the `-Phive` and `-Phive-thriftserver` flags to Spark's build.
-This command builds a new assembly jar that includes Hive. Note that this Hive assembly jar must also be present
+This command builds a new assembly directory that includes Hive. Note that this Hive assembly directory must also be present
 on all of the worker nodes, as they will need access to the Hive serialization and deserialization libraries
 (SerDes) in order to access data stored in Hive.
 
@@ -1770,7 +1770,7 @@ The following options can be used to configure the version of Hive that is used
       property can be one of three options:
       <ol>
         <li><code>builtin</code></li>
-        Use Hive 1.2.1, which is bundled with the Spark assembly jar when <code>-Phive</code> is
+        Use Hive 1.2.1, which is bundled with the Spark assembly when <code>-Phive</code> is
         enabled. When this option is chosen, <code>spark.sql.hive.metastore.version</code> must be
         either <code>1.2.1</code> or not defined.
         <li><code>maven</code></li>

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRelation.scala

@@ -784,7 +784,7 @@ private[sql] object ParquetRelation extends Logging {
       // scalastyle:on classforname
       redirect(JLogger.getLogger("parquet"))
     } catch { case _: Throwable =>
-      // SPARK-9974: com.twitter:parquet-hadoop-bundle:1.6.0 is not packaged into the assembly jar
+      // SPARK-9974: com.twitter:parquet-hadoop-bundle:1.6.0 is not packaged into the assembly
       // when Spark is built with SBT. So `parquet.Log` may not be found.  This try/catch block
       // should be removed after this issue is fixed.
     }

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

@@ -429,7 +429,7 @@ private[hive] object HiveContext extends Logging {
       | Location of the jars that should be used to instantiate the HiveMetastoreClient.
       | This property can be one of three options: "
       | 1. "builtin"
-      |   Use Hive ${hiveExecutionVersion}, which is bundled with the Spark assembly jar when
+      |   Use Hive ${hiveExecutionVersion}, which is bundled with the Spark assembly when
       |   <code>-Phive</code> is enabled. When this option is chosen,
       |   <code>spark.sql.hive.metastore.version</code> must be either
       |   <code>${hiveExecutionVersion}</code> or not defined.