【发布时间】：2017-10-12 08:22:39
【问题描述】：
我正在运行一个涉及 Spark 并行化的程序多次。该程序在最初的几次迭代中运行良好，但由于内存问题而崩溃。我正在使用带有 Python 2.7 的 Spark 2.2.0，并且我正在使用 30g 内存的 AWS EC2 上运行我的测试。
以下是我的 Spark 设置：
conf = pyspark.SparkConf()
conf.set("spark.executor.memory", '4g')
conf.set('spark.executor.cores', '16')
conf.set('spark.cores.max', '16')
conf.set("spark.driver.memory",'4g')
conf.setMaster("local[*]")
这是我的错误日志：
Traceback (most recent call last):
File "C:\ProgramData\Anaconda2\lib\site-packages\flask\app.py", line
1982,
in wsgi_app
response = self.full_dispatch_request()
File "C:\ProgramData\Anaconda2\lib\site-packages\flask\app.py", line
1614,
in full_dispatch_request
rv = self.handle_user_exception(e)
File "C:\ProgramData\Anaconda2\lib\site-packages\flask\app.py", line
1517,
in handle_user_exception
reraise(exc_type, exc_value, tb)
File "C:\ProgramData\Anaconda2\lib\site-packages\flask\app.py", line
1612,
in full_dispatch_request
rv = self.dispatch_request()
File "C:\ProgramData\Anaconda2\lib\site-packages\flask\app.py", line
1598,
in dispatch_request
return self.view_functions[rule.endpoint](**req.view_args)
File
"C:/Users/Administrator/Desktop/Flex_Api_Post/
flex_api_post_func_spark_setup.py", line 152, in travel_time_est
count = ssc.parallelize(input_json).map(lambda j:
flex_func(j)).collect()
File "C:\ProgramData\Anaconda2\lib\site-packages\pyspark\rdd.py", line
809,
in collect
port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
File "C:\ProgramData\Anaconda2\lib\site-packages\py4j\java_gateway.py",
line
1160, in __call__
answer, self.gateway_client, self.target_id, self.name)
File "C:\ProgramData\Anaconda2\lib\site-packages\py4j\protocol.py", line
320, in get_return_value
format(target_id, ".", name), value)
Py4JJavaError: An error occurred while calling
z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: org.apache.spark.SparkException: Job aborted due to
stage failure: Task 7
in stage 13.0 failed 1 times, most recent failure:
Lost task 7.0 in stage
13.0 (TID 215, localhost, executor driver):
org.apache.spark.api.python.PythonException:
Traceback (most recent call
last):
File "C:\opt\spark\spark-2.2.0-bin-
hadoop2.7\python\lib\pyspark.zip\pyspark\worker.py", line 166, in main
File "C:\opt\spark\spark-2.2.0-bin-
hadoop2.7\python\lib\pyspark.zip\pyspark\worker.py", line 57, in
read_command
File "C:\opt\spark\spark-2.2.0-bin-
hadoop2.7\python\lib\pyspark.zip\pyspark\serializers.py",
line 454, in loads
return pickle.loads(obj)
MemoryError
at
org.apache.spark.api.python.PythonRunner$$anon$1.
read(PythonRDD.scala:193)
at org.apache.spark.api.python.PythonRunner$$anon$1.<init>
(PythonRDD.scala:234)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
at java.lang.Thread.run(Unknown Source)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler
$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499)
at
org.apache.spark.scheduler.DAGScheduler
$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487)
at org.apache.spark.scheduler.
DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486)
at scala.collection.
mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.
DAGScheduler.abortStage(DAGScheduler.scala:1486)
at org.apache.spark.scheduler.
DAGScheduler$$anonfun$handleTaskSetFailed$1.apply
(DAGScheduler.scala:814)
at org.apache.spark.scheduler.
DAGScheduler$$anonfun$handleTaskSetFailed$1.apply
(DAGScheduler.scala:814)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.
DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814)
at org.apache.spark.scheduler.
DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1714)
at org.apache.spark.scheduler.
DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669)
at org.apache.spark.scheduler.
DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.
runJob(DAGScheduler.scala:630)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2022)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2043)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2062)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2087)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
at org.apache.spark.rdd.RDDOperationScope$.
withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.
withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
at org.apache.spark.api.python.PythonRDD$.
collectAndServe(PythonRDD.scala:458)
at org.apache.spark.api.python.PythonRDD.
collectAndServe(PythonRDD.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:280)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Unknown Source)
Caused by: org.apache.spark.api.python.PythonException:
Traceback (most recent call last):
File "C:\opt\spark\spark-2.2.0-bin-
hadoop2.7\python\lib\pyspark.zip\pyspark\worker.py",
line 166, in main
File "C:\opt\spark\spark-2.2.0-bin-
hadoop2.7\python\lib\pyspark.zip\pyspark\worker.py",
line 57, in read_command
File "C:\opt\spark\spark-2.2.0-bin-
hadoop2.7\python\lib\pyspark.zip\pyspark\serializers.py",
line 454, in loads
return pickle.loads(obj)
MemoryError
at org.apache.spark.api.python.
PythonRunner$$anon$1.read(PythonRDD.scala:193)
at org.apache.spark.api.python.PythonRunner$$anon$1.<init>
(PythonRDD.scala:234)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
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标签： apache-spark amazon-ec2 pyspark