[SPARK-5979][SPARK-6032] Smaller safer --packages fix

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

@@ -655,8 +655,7 @@ private[spark] object SparkSubmitUtils {
 
 /**
  * Extracts maven coordinates from a comma-delimited string. Coordinates should be provided
- * in the format `groupId:artifactId:version` or `groupId/artifactId:version`. The latter provides
- * simplicity for Spark Package users.
+ * in the format `groupId:artifactId:version` or `groupId/artifactId:version`.
  * @param coordinates Comma-delimited string of maven coordinates
  * @return Sequence of Maven coordinates
  */
@@ -747,6 +746,35 @@ private[spark] object SparkSubmitUtils {
       md.addDependency(dd)
     }
   }
+
+  /** Add exclusion rules for dependencies already included in the spark-assembly */
+  private[spark] def addExclusionRules(
+      ivySettings: IvySettings,
+      ivyConfName: String,
+      md: DefaultModuleDescriptor): Unit = {
+    // Add scala exclusion rule
+    val scalaArtifacts = new ArtifactId(new ModuleId("*", "scala-library"), "*", "*", "*")
+    val scalaDependencyExcludeRule =
+      new DefaultExcludeRule(scalaArtifacts, ivySettings.getMatcher("glob"), null)
+    scalaDependencyExcludeRule.addConfiguration(ivyConfName)
+    md.addExcludeRule(scalaDependencyExcludeRule)
+
+    // We need to specify each component explicitly, otherwise we miss spark-streaming-kafka and
+    // other spark-streaming utility components. Underscore is there to differentiate between
+    // spark-streaming_2.1x and spark-streaming-kafka-assembly_2.1x
+    val components = Seq("bagel_", "catalyst_", "core_", "graphx_", "hive_", "mllib_", "repl_",
+      "sql_", "streaming_", "yarn_", "network-common_", "network-shuffle_", "network-yarn_")
+
+    components.foreach { comp =>
+      val sparkArtifacts =
+        new ArtifactId(new ModuleId("org.apache.spark", s"spark-$comp*"), "*", "*", "*")
+      val sparkDependencyExcludeRule =
+        new DefaultExcludeRule(sparkArtifacts, ivySettings.getMatcher("glob"), null)
+      sparkDependencyExcludeRule.addConfiguration(ivyConfName)
+
+      md.addExcludeRule(sparkDependencyExcludeRule)
+    }
+  }
 
   /** A nice function to use in tests as well. Values are dummy strings. */
   private[spark] def getModuleDescriptor = DefaultModuleDescriptor.newDefaultInstance(
@@ -768,6 +796,9 @@ private[spark] object SparkSubmitUtils {
     if (coordinates == null || coordinates.trim.isEmpty) {
       ""
     } else {
+      val sysOut = System.out
+      // To prevent ivy from logging to system out
+      System.setOut(printStream)
       val artifacts = extractMavenCoordinates(coordinates)
       // Default configuration name for ivy
       val ivyConfName = "default"
@@ -811,19 +842,9 @@ private[spark] object SparkSubmitUtils {
       val md = getModuleDescriptor
       md.setDefaultConf(ivyConfName)
 
-      // Add an exclusion rule for Spark and Scala Library
-      val sparkArtifacts = new ArtifactId(new ModuleId("org.apache.spark", "*"), "*", "*", "*")
-      val sparkDependencyExcludeRule =
-        new DefaultExcludeRule(sparkArtifacts, ivySettings.getMatcher("glob"), null)
-      sparkDependencyExcludeRule.addConfiguration(ivyConfName)
-      val scalaArtifacts = new ArtifactId(new ModuleId("*", "scala-library"), "*", "*", "*")
-      val scalaDependencyExcludeRule =
-        new DefaultExcludeRule(scalaArtifacts, ivySettings.getMatcher("glob"), null)
-      scalaDependencyExcludeRule.addConfiguration(ivyConfName)
-
-      // Exclude any Spark dependencies, and add all supplied maven artifacts as dependencies
-      md.addExcludeRule(sparkDependencyExcludeRule)
-      md.addExcludeRule(scalaDependencyExcludeRule)
+      // Add exclusion rules for Spark and Scala Library
+      addExclusionRules(ivySettings, ivyConfName, md)
+      // add all supplied maven artifacts as dependencies
       addDependenciesToIvy(md, artifacts, ivyConfName)
 
       // resolve dependencies
@@ -835,7 +856,7 @@ private[spark] object SparkSubmitUtils {
       ivy.retrieve(rr.getModuleDescriptor.getModuleRevisionId,
         packagesDirectory.getAbsolutePath + File.separator + "[artifact](-[classifier]).[ext]",
         retrieveOptions.setConfs(Array(ivyConfName)))
-
+      System.setOut(sysOut)
       resolveDependencyPaths(rr.getArtifacts.toArray, packagesDirectory)
     }
   }

core/src/test/scala/org/apache/spark/deploy/SparkSubmitUtilsSuite.scala

@@ -117,8 +117,20 @@ class SparkSubmitUtilsSuite extends FunSuite with BeforeAndAfterAll {
   }
 
   test("neglects Spark and Spark's dependencies") {
-    val path = SparkSubmitUtils.resolveMavenCoordinates(
-      "org.apache.spark:spark-core_2.10:1.2.0", None, None, true)
+    val components = Seq("bagel_", "catalyst_", "core_", "graphx_", "hive_", "mllib_", "repl_",
+      "sql_", "streaming_", "yarn_", "network-common_", "network-shuffle_", "network-yarn_")
+
+    val coordinates =
+      components.map(comp => s"org.apache.spark:spark-${comp}2.10:1.2.0").mkString(",") +
+      ",org.apache.spark:spark-core_fake:1.2.0"
+
+    val path = SparkSubmitUtils.resolveMavenCoordinates(coordinates, None, None, true)
     assert(path === "", "should return empty path")
+    // Should not exclude the following dependency. Will throw an error, because it doesn't exist,
+    // but the fact that it is checking means that it wasn't excluded.
+    intercept[RuntimeException] {
+      SparkSubmitUtils.resolveMavenCoordinates(coordinates +
+        ",org.apache.spark:spark-streaming-kafka-assembly_2.10:1.2.0", None, None, true)
+    }
   }
 }