[jira] [Created] (SPARK-12261) pyspark crash for large dataset

["zihao (JIRA)" <ji...@apache.org>]

zihao created SPARK-12261:
-----------------------------

             Summary: pyspark crash for large dataset
                 Key: SPARK-12261
                 URL: https://issues.apache.org/jira/browse/SPARK-12261
             Project: Spark
          Issue Type: Bug
    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?



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org