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

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

    [ https://issues.apache.org/jira/browse/SPARK-12261?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15116907#comment-15116907 ] 

Christopher Bourez edited comment on SPARK-12261 at 1/26/16 8:10 AM:
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To reproduce you can follow the steps : 
- create an Aws Workspace with Windows 7 (that I can share you if you'd like) with Standard instance, 2GiB RAM
On this instance : 
- download spark (1.5 or 1.6 same pb) with hadoop 2.6
- install java 8 jdk
- download python 2.7.8 
- download the sample file https://s3-eu-west-1.amazonaws.com/christopherbourez/public/test.csv
- launch Pyspark : bin\pyspark --master local[1]
- run command : sc.textFile("test.csv").take(1) => fails (very few times worked)
- run sc.textFile("test.csv", 2000).take(1) => works

Sample file is 13M, has been created randomly
for i in {0..300000}; do
  VALUE="$RANDOM"
  for j in {0..6}; do 
    VALUE="$VALUE;$RANDOM"; 
  done
  echo $VALUE >> test.csv
done

Running Pyspark with more memory
bin\pyspark --master local[1] --conf spark.driver.memory=3g
displays more memory in http://localhost:4040/executors
but does not change the problem

Full video of the problem : https://s3-eu-west-1.amazonaws.com/christopherbourez/public/video.mov



was (Author: christopher5106):
To reproduce you can follow the steps : 
- create an Aws Workspace with Windows 7 (that I can share you if you'd like) with Standard instance, 2GiB RAM
On this instance : 
- download spark (1.5 or 1.6 same pb) with hadoop 2.6
- install java 8 jdk
- download python 2.7.8 
- downloaded the sample file https://s3-eu-west-1.amazonaws.com/christopherbourez/public/test.csv
- launch Pyspark : bin\pyspark --master local[1]
- run command : sc.textFile("test.csv").take(1) => fails (very few times worked)
- run sc.textFile("test.csv", 2000).take(1) => works

Sample file is 13M, has been created randomly
for i in {0..300000}; do
  VALUE="$RANDOM"
  for j in {0..6}; do 
    VALUE="$VALUE;$RANDOM"; 
  done
  echo $VALUE >> test.csv
done

Running Pyspark with more memory
bin\pyspark --master local[1] --conf spark.driver.memory=3g
displays more memory in http://localhost:4040/executors
but does not change the problem

Full video of the problem : https://s3-eu-west-1.amazonaws.com/christopherbourez/public/video.mov


> 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?



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