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  • Matei Zaharia's avatar
    b4ceed40
    Merge remote-tracking branch 'origin/master' into conf2 · b4ceed40
    Matei Zaharia authored
    Conflicts:
    	core/src/main/scala/org/apache/spark/SparkContext.scala
    	core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
    	core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala
    	core/src/main/scala/org/apache/spark/scheduler/cluster/ClusterTaskSetManager.scala
    	core/src/main/scala/org/apache/spark/scheduler/local/LocalScheduler.scala
    	core/src/main/scala/org/apache/spark/util/MetadataCleaner.scala
    	core/src/test/scala/org/apache/spark/scheduler/TaskResultGetterSuite.scala
    	core/src/test/scala/org/apache/spark/scheduler/TaskSetManagerSuite.scala
    	new-yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
    	streaming/src/main/scala/org/apache/spark/streaming/Checkpoint.scala
    	streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaStreamingContext.scala
    	streaming/src/main/scala/org/apache/spark/streaming/scheduler/JobGenerator.scala
    	streaming/src/test/scala/org/apache/spark/streaming/BasicOperationsSuite.scala
    	streaming/src/test/scala/org/apache/spark/streaming/CheckpointSuite.scala
    	streaming/src/test/scala/org/apache/spark/streaming/InputStreamsSuite.scala
    	streaming/src/test/scala/org/apache/spark/streaming/TestSuiteBase.scala
    	streaming/src/test/scala/org/apache/spark/streaming/WindowOperationsSuite.scala
    b4ceed40
    History
    Merge remote-tracking branch 'origin/master' into conf2
    Matei Zaharia authored
    Conflicts:
    	core/src/main/scala/org/apache/spark/SparkContext.scala
    	core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
    	core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala
    	core/src/main/scala/org/apache/spark/scheduler/cluster/ClusterTaskSetManager.scala
    	core/src/main/scala/org/apache/spark/scheduler/local/LocalScheduler.scala
    	core/src/main/scala/org/apache/spark/util/MetadataCleaner.scala
    	core/src/test/scala/org/apache/spark/scheduler/TaskResultGetterSuite.scala
    	core/src/test/scala/org/apache/spark/scheduler/TaskSetManagerSuite.scala
    	new-yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
    	streaming/src/main/scala/org/apache/spark/streaming/Checkpoint.scala
    	streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaStreamingContext.scala
    	streaming/src/main/scala/org/apache/spark/streaming/scheduler/JobGenerator.scala
    	streaming/src/test/scala/org/apache/spark/streaming/BasicOperationsSuite.scala
    	streaming/src/test/scala/org/apache/spark/streaming/CheckpointSuite.scala
    	streaming/src/test/scala/org/apache/spark/streaming/InputStreamsSuite.scala
    	streaming/src/test/scala/org/apache/spark/streaming/TestSuiteBase.scala
    	streaming/src/test/scala/org/apache/spark/streaming/WindowOperationsSuite.scala
java_gateway.py 2.71 KiB
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

import os
import sys
import signal
import platform
from subprocess import Popen, PIPE
from threading import Thread
from py4j.java_gateway import java_import, JavaGateway, GatewayClient


SPARK_HOME = os.environ["SPARK_HOME"]


def launch_gateway():
    # Launch the Py4j gateway using Spark's run command so that we pick up the
    # proper classpath and SPARK_MEM settings from spark-env.sh
    on_windows = platform.system() == "Windows"
    script = "spark-class.cmd" if on_windows else "spark-class"
    command = [os.path.join(SPARK_HOME, script), "py4j.GatewayServer",
               "--die-on-broken-pipe", "0"]
    if not on_windows:
        # Don't send ctrl-c / SIGINT to the Java gateway:
        def preexec_func():
            signal.signal(signal.SIGINT, signal.SIG_IGN)
        proc = Popen(command, stdout=PIPE, stdin=PIPE, preexec_fn=preexec_func)
    else:
        # preexec_fn not supported on Windows
        proc = Popen(command, stdout=PIPE, stdin=PIPE)
    # Determine which ephemeral port the server started on:
    port = int(proc.stdout.readline())
    # Create a thread to echo output from the GatewayServer, which is required
    # for Java log output to show up:
    class EchoOutputThread(Thread):
        def __init__(self, stream):
            Thread.__init__(self)
            self.daemon = True
            self.stream = stream

        def run(self):
            while True:
                line = self.stream.readline()
                sys.stderr.write(line)
    EchoOutputThread(proc.stdout).start()
    # Connect to the gateway
    gateway = JavaGateway(GatewayClient(port=port), auto_convert=False)
    # Import the classes used by PySpark
    java_import(gateway.jvm, "org.apache.spark.SparkConf")
    java_import(gateway.jvm, "org.apache.spark.api.java.*")
    java_import(gateway.jvm, "org.apache.spark.api.python.*")
    java_import(gateway.jvm, "org.apache.spark.mllib.api.python.*")
    java_import(gateway.jvm, "scala.Tuple2")
    return gateway