Merge branch 'master' of https://github.com/apache/spark

Author: zhzhan

bagel/src/test/resources/log4j.properties

@@ -21,7 +21,7 @@ log4j.appender.file=org.apache.log4j.FileAppender
 log4j.appender.file.append=false
 log4j.appender.file.file=target/unit-tests.log
 log4j.appender.file.layout=org.apache.log4j.PatternLayout
-log4j.appender.file.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss.SSS} %p %c{1}: %m%n
+log4j.appender.file.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss.SSS} %t %p %c{1}: %m%n
 
 # Ignore messages below warning level from Jetty, because it's a bit verbose
 log4j.logger.org.eclipse.jetty=WARN

bin/spark-sql

@@ -24,7 +24,6 @@
 set -o posix
 
 CLASS="org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver"
-CLASS_NOT_FOUND_EXIT_STATUS=101
 
 # Figure out where Spark is installed
 FWDIR="$(cd "`dirname "$0"`"/..; pwd)"
@@ -53,13 +52,4 @@ source "$FWDIR"/bin/utils.sh
 SUBMIT_USAGE_FUNCTION=usage
 gatherSparkSubmitOpts "$@"
 
-"$FWDIR"/bin/spark-submit --class $CLASS "${SUBMISSION_OPTS[@]}" spark-internal "${APPLICATION_OPTS[@]}"
-exit_status=$?
-
-if [[ exit_status -eq CLASS_NOT_FOUND_EXIT_STATUS ]]; then
-  echo
-  echo "Failed to load Spark SQL CLI main class $CLASS."
-  echo "You need to build Spark with -Phive."
-fi
-
-exit $exit_status
+exec "$FWDIR"/bin/spark-submit --class $CLASS "${SUBMISSION_OPTS[@]}" spark-internal "${APPLICATION_OPTS[@]}"

core/pom.xml

@@ -322,6 +322,17 @@
           </tasks>
         </configuration>
       </plugin>
+      <plugin>
+        <artifactId>maven-clean-plugin</artifactId>
+        <configuration>
+          <filesets>
+            <fileset>
+              <directory>${basedir}/../python/build</directory>
+            </fileset>
+          </filesets>
+          <verbose>true</verbose>
+        </configuration>
+      </plugin>
       <plugin>
         <groupId>org.apache.maven.plugins</groupId>
         <artifactId>maven-shade-plugin</artifactId>

core/src/main/scala/org/apache/spark/api/python/PythonRDD.scala

@@ -339,26 +339,34 @@ private[spark] object PythonRDD extends Logging {
   def readRDDFromFile(sc: JavaSparkContext, filename: String, parallelism: Int):
   JavaRDD[Array[Byte]] = {
     val file = new DataInputStream(new FileInputStream(filename))
-    val objs = new collection.mutable.ArrayBuffer[Array[Byte]]
     try {
-      while (true) {
-        val length = file.readInt()
-        val obj = new Array[Byte](length)
-        file.readFully(obj)
-        objs.append(obj)
+      val objs = new collection.mutable.ArrayBuffer[Array[Byte]]
+      try {
+        while (true) {
+          val length = file.readInt()
+          val obj = new Array[Byte](length)
+          file.readFully(obj)
+          objs.append(obj)
+        }
+      } catch {
+        case eof: EOFException => {}
       }
-    } catch {
-      case eof: EOFException => {}
+      JavaRDD.fromRDD(sc.sc.parallelize(objs, parallelism))
+    } finally {
+      file.close()
     }
-    JavaRDD.fromRDD(sc.sc.parallelize(objs, parallelism))
   }
 
   def readBroadcastFromFile(sc: JavaSparkContext, filename: String): Broadcast[Array[Byte]] = {
     val file = new DataInputStream(new FileInputStream(filename))
-    val length = file.readInt()
-    val obj = new Array[Byte](length)
-    file.readFully(obj)
-    sc.broadcast(obj)
+    try {
+      val length = file.readInt()
+      val obj = new Array[Byte](length)
+      file.readFully(obj)
+      sc.broadcast(obj)
+    } finally {
+      file.close()
+    }
   }
 
   def writeIteratorToStream[T](iter: Iterator[T], dataOut: DataOutputStream) {

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

@@ -320,6 +320,10 @@ object SparkSubmit {
     } catch {
       case e: ClassNotFoundException =>
         e.printStackTrace(printStream)
+        if (childMainClass.contains("thriftserver")) {
+          println(s"Failed to load main class $childMainClass.")
+          println("You need to build Spark with -Phive.")
+        }
         System.exit(CLASS_NOT_FOUND_EXIT_STATUS)
     }
 

core/src/main/scala/org/apache/spark/scheduler/TaskResultGetter.scala

@@ -19,6 +19,8 @@ package org.apache.spark.scheduler
 
 import java.nio.ByteBuffer
 
+import scala.util.control.NonFatal
+
 import org.apache.spark._
 import org.apache.spark.TaskState.TaskState
 import org.apache.spark.serializer.SerializerInstance
@@ -32,7 +34,7 @@ private[spark] class TaskResultGetter(sparkEnv: SparkEnv, scheduler: TaskSchedul
 
   private val THREADS = sparkEnv.conf.getInt("spark.resultGetter.threads", 4)
   private val getTaskResultExecutor = Utils.newDaemonFixedThreadPool(
-    THREADS, "Result resolver thread")
+    THREADS, "task-result-getter")
 
   protected val serializer = new ThreadLocal[SerializerInstance] {
     override def initialValue(): SerializerInstance = {
@@ -70,7 +72,8 @@ private[spark] class TaskResultGetter(sparkEnv: SparkEnv, scheduler: TaskSchedul
           case cnf: ClassNotFoundException =>
             val loader = Thread.currentThread.getContextClassLoader
             taskSetManager.abort("ClassNotFound with classloader: " + loader)
-          case ex: Exception =>
+          // Matching NonFatal so we don't catch the ControlThrowable from the "return" above.
+          case NonFatal(ex) =>
             logError("Exception while getting task result", ex)
             taskSetManager.abort("Exception while getting task result: %s".format(ex))
         }

core/src/main/scala/org/apache/spark/util/Utils.scala

@@ -23,6 +23,8 @@ import java.nio.ByteBuffer
 import java.util.{Properties, Locale, Random, UUID}
 import java.util.concurrent.{ThreadFactory, ConcurrentHashMap, Executors, ThreadPoolExecutor}
 
+import org.eclipse.jetty.util.MultiException
+
 import scala.collection.JavaConversions._
 import scala.collection.Map
 import scala.collection.mutable.ArrayBuffer
@@ -1437,7 +1439,7 @@ private[spark] object Utils extends Logging {
     val serviceString = if (serviceName.isEmpty) "" else s" '$serviceName'"
     for (offset <- 0 to maxRetries) {
       // Do not increment port if startPort is 0, which is treated as a special port
-      val tryPort = if (startPort == 0) startPort else (startPort + offset) % 65536
+      val tryPort = if (startPort == 0) startPort else (startPort + offset) % (65536 - 1024) + 1024
       try {
         val (service, port) = startService(tryPort)
         logInfo(s"Successfully started service$serviceString on port $port.")
@@ -1470,6 +1472,7 @@ private[spark] object Utils extends Logging {
           return true
         }
         isBindCollision(e.getCause)
+      case e: MultiException => e.getThrowables.exists(isBindCollision)
       case e: Exception => isBindCollision(e.getCause)
       case _ => false
     }

core/src/test/resources/log4j.properties

@@ -21,7 +21,7 @@ log4j.appender.file=org.apache.log4j.FileAppender
 log4j.appender.file.append=false
 log4j.appender.file.file=target/unit-tests.log
 log4j.appender.file.layout=org.apache.log4j.PatternLayout
-log4j.appender.file.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss.SSS} %p %c{1}: %m%n
+log4j.appender.file.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss.SSS} %t %p %c{1}: %m%n
 
 # Ignore messages below warning level from Jetty, because it's a bit verbose
 log4j.logger.org.eclipse.jetty=WARN

examples/src/main/java/org/apache/spark/examples/JavaSparkPi.java

@@ -31,7 +31,6 @@
  * Usage: JavaSparkPi [slices]
  */
 public final class JavaSparkPi {
-  
 
   public static void main(String[] args) throws Exception {
     SparkConf sparkConf = new SparkConf().setAppName("JavaSparkPi");
@@ -61,5 +60,7 @@ public Integer call(Integer integer, Integer integer2) {
     });
 
     System.out.println("Pi is roughly " + 4.0 * count / n);
+
+    jsc.stop();
   }
 }

examples/src/main/java/org/apache/spark/examples/sql/JavaSparkSQL.java

@@ -61,7 +61,8 @@ public static void main(String[] args) throws Exception {
     // Load a text file and convert each line to a Java Bean.
     JavaRDD<Person> people = ctx.textFile("examples/src/main/resources/people.txt").map(
       new Function<String, Person>() {
-        public Person call(String line) throws Exception {
+        @Override
+        public Person call(String line) {
           String[] parts = line.split(",");
 
           Person person = new Person();
@@ -82,6 +83,7 @@ public Person call(String line) throws Exception {
     // The results of SQL queries are SchemaRDDs and support all the normal RDD operations.
     // The columns of a row in the result can be accessed by ordinal.
     List<String> teenagerNames = teenagers.map(new Function<Row, String>() {
+      @Override
       public String call(Row row) {
         return "Name: " + row.getString(0);
       }
@@ -104,6 +106,7 @@ public String call(Row row) {
     JavaSchemaRDD teenagers2 =
       sqlCtx.sql("SELECT name FROM parquetFile WHERE age >= 13 AND age <= 19");
     teenagerNames = teenagers2.map(new Function<Row, String>() {
+      @Override
       public String call(Row row) {
           return "Name: " + row.getString(0);
       }
@@ -136,6 +139,7 @@ public String call(Row row) {
     // The results of SQL queries are JavaSchemaRDDs and support all the normal RDD operations.
     // The columns of a row in the result can be accessed by ordinal.
     teenagerNames = teenagers3.map(new Function<Row, String>() {
+      @Override
       public String call(Row row) { return "Name: " + row.getString(0); }
     }).collect();
     for (String name: teenagerNames) {
@@ -162,12 +166,15 @@ public String call(Row row) {
 
     JavaSchemaRDD peopleWithCity = sqlCtx.sql("SELECT name, address.city FROM people2");
     List<String> nameAndCity = peopleWithCity.map(new Function<Row, String>() {
+      @Override
       public String call(Row row) {
         return "Name: " + row.getString(0) + ", City: " + row.getString(1);
       }
     }).collect();
     for (String name: nameAndCity) {
       System.out.println(name);
     }
+
+    ctx.stop();
   }
 }