处理较大的数据集时，Spark作业失败

时间：2018-06-24 01:57:07

标签： apache-spark pyspark

我正在将一个函数传递给Spark。该功能解决了一个优化问题，每个数据行要花费大约半秒钟的时间才能解决。但是，如果我的数据集只有10个样本，Spark将按预期处理一切。但是，如果我处理说100行或更多的数据集，则会出现此错误堆栈：

2018-06-23 21:42:16 WARN  NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
2018-06-23 21:42:17 WARN  Utils:66 - Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
[Stage 0:>                                                          (0 + 1) / 1]2018-06-23 21:48:54 ERROR Executor:91 - Exception in task 0.0 in stage 0.0 (TID 0)
java.net.SocketException: Connection reset
    at java.net.SocketInputStream.read(SocketInputStream.java:210)
    at java.net.SocketInputStream.read(SocketInputStream.java:141)
    at java.io.BufferedInputStream.read1(BufferedInputStream.java:284)
    at java.io.BufferedInputStream.read(BufferedInputStream.java:345)
    at java.io.DataInputStream.readFully(DataInputStream.java:195)
    at java.io.DataInputStream.readFully(DataInputStream.java:169)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:431)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:421)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:252)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.hasNext(RDD.scala:860)
    at scala.collection.Iterator$class.foreach(Iterator.scala:893)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.foreach(RDD.scala:859)
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
    at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.to(RDD.scala:859)
    at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.toBuffer(RDD.scala:859)
    at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.toArray(RDD.scala:859)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:939)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:939)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:109)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
2018-06-23 21:48:54 WARN  TaskSetManager:66 - Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): java.net.SocketException: Connection reset
    at java.net.SocketInputStream.read(SocketInputStream.java:210)
    at java.net.SocketInputStream.read(SocketInputStream.java:141)
    at java.io.BufferedInputStream.read1(BufferedInputStream.java:284)
    at java.io.BufferedInputStream.read(BufferedInputStream.java:345)
    at java.io.DataInputStream.readFully(DataInputStream.java:195)
    at java.io.DataInputStream.readFully(DataInputStream.java:169)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:431)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:421)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:252)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.hasNext(RDD.scala:860)
    at scala.collection.Iterator$class.foreach(Iterator.scala:893)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.foreach(RDD.scala:859)
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
    at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.to(RDD.scala:859)
    at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.toBuffer(RDD.scala:859)
    at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.toArray(RDD.scala:859)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:939)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:939)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:109)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

2018-06-23 21:48:54 ERROR TaskSetManager:70 - Task 0 in stage 0.0 failed 1 times; aborting job
Traceback (most recent call last):
  File "C:/Users/salman/PycharmProjects/TestingPySpark/testingUDF.py", line 68, in <module>
    appended.collect()
  File "C:\Users\salman\AppData\Local\Programs\Python\Python36\lib\site-packages\pyspark\rdd.py", line 834, in collect
    sock_info = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
  File "C:\Users\salman\AppData\Local\Programs\Python\Python36\lib\site-packages\py4j\java_gateway.py", line 1257, in __call__
    answer, self.gateway_client, self.target_id, self.name)
  File "C:\Users\salman\AppData\Local\Programs\Python\Python36\lib\site-packages\pyspark\sql\utils.py", line 63, in deco
    return f(*a, **kw)
  File "C:\Users\salman\AppData\Local\Programs\Python\Python36\lib\site-packages\py4j\protocol.py", line 328, in get_return_value
    format(target_id, ".", name), value)
py4j.protocol.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 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): java.net.SocketException: Connection reset
    at java.net.SocketInputStream.read(SocketInputStream.java:210)
    at java.net.SocketInputStream.read(SocketInputStream.java:141)
    at java.io.BufferedInputStream.read1(BufferedInputStream.java:284)
    at java.io.BufferedInputStream.read(BufferedInputStream.java:345)
    at java.io.DataInputStream.readFully(DataInputStream.java:195)
    at java.io.DataInputStream.readFully(DataInputStream.java:169)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:431)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:421)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:252)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.hasNext(RDD.scala:860)
    at scala.collection.Iterator$class.foreach(Iterator.scala:893)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.foreach(RDD.scala:859)
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
    at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.to(RDD.scala:859)
    at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.toBuffer(RDD.scala:859)
    at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.toArray(RDD.scala:859)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:939)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:939)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:109)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1602)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1590)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1589)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1589)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
    at scala.Option.foreach(Option.scala:257)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1823)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1772)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1761)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2055)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2074)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2099)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:939)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
    at org.apache.spark.rdd.RDD.collect(RDD.scala:938)
    at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:162)
    at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:282)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:238)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.net.SocketException: Connection reset
    at java.net.SocketInputStream.read(SocketInputStream.java:210)
    at java.net.SocketInputStream.read(SocketInputStream.java:141)
    at java.io.BufferedInputStream.read1(BufferedInputStream.java:284)
    at java.io.BufferedInputStream.read(BufferedInputStream.java:345)
    at java.io.DataInputStream.readFully(DataInputStream.java:195)
    at java.io.DataInputStream.readFully(DataInputStream.java:169)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:431)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:421)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:252)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.hasNext(RDD.scala:860)
    at scala.collection.Iterator$class.foreach(Iterator.scala:893)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.foreach(RDD.scala:859)
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
    at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.to(RDD.scala:859)
    at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.toBuffer(RDD.scala:859)
    at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
    at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anonfun$apply$27$$anon$2.toArray(RDD.scala:859)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:939)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:939)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:109)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    ... 1 more


Process finished with exit code 1

这是我的代码：

spark = SparkSession \
    .builder \
    .appName("testingUDF") \
    .getOrCreate()
temp_input = spark.read.text("demands_only.csv").rdd.map(myFunc2)
obj = SolveDemand.SolveDemand()
lines = spark.read.text("demands_only.csv").rdd.map(obj.solve)
appended = temp_input.zip(lines)
appended.collect()

有关该错误的任何建议吗？

1 个答案:

答案 0 :(得分：0)

似乎是内存问题和python进程使OOM被杀死。

添加到命令中

--executor-memory 10G 
--driver-memory 10G

示例：

./bin/spark-submit \
  --class org.apache.spark.examples.SparkPi \
  --master spark://master.node:7077 \
  --executor-memory 8G \
  --total-executor-cores 100 \
  /path/to/vaquarkhan-example.jar \
  1000
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