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https://issues.apache.org/jira/browse/SPARK-12261?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15145077#comment-15145077
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Niall McCarroll commented on SPARK-12261:
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In various windows environments I've tried, I see failures intermittently in
some but not all. Using spark standalone 1.5.2 and 1.6.0. I don't think its
related to memory resources. I added some logging to the python and scala
sides to trace the protocol.
The change above is a simple (but inefficient) workaround based on what I think
the underlying issue might be. I hope it should not impact functionality.
I am more than happy to work on this and and try and come up with a proper
solution if it does turn out to be a bug.
> pyspark crash for large dataset
> -------------------------------
>
> Key: SPARK-12261
> URL: https://issues.apache.org/jira/browse/SPARK-12261
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.5.2
> Environment: windows
> Reporter: zihao
>
> I tried to import a local text(over 100mb) file via textFile in pyspark, when
> i ran data.take(), it failed and gave error messages including:
> 15/12/10 17:17:43 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times;
> aborting job
> Traceback (most recent call last):
> File "E:/spark_python/test3.py", line 9, in <module>
> lines.take(5)
> File "D:\spark\spark-1.5.2-bin-hadoop2.6\python\pyspark\rdd.py", line 1299,
> in take
> res = self.context.runJob(self, takeUpToNumLeft, p)
> File "D:\spark\spark-1.5.2-bin-hadoop2.6\python\pyspark\context.py", line
> 916, in runJob
> port = self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd,
> partitions)
> File "C:\Anaconda2\lib\site-packages\py4j\java_gateway.py", line 813, in
> __call__
> answer, self.gateway_client, self.target_id, self.name)
> File "D:\spark\spark-1.5.2-bin-hadoop2.6\python\pyspark\sql\utils.py", line
> 36, in deco
> return f(*a, **kw)
> File "C:\Anaconda2\lib\site-packages\py4j\protocol.py", line 308, in
> get_return_value
> format(target_id, ".", name), value)
> py4j.protocol.Py4JJavaError: An error occurred while calling
> z:org.apache.spark.api.python.PythonRDD.runJob.
> : 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): java.net.SocketException: Connection reset by peer:
> socket write error
> Then i ran the same code for a small text file, this time .take() worked fine.
> How can i solve this problem?
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