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Christopher Bourez commented on SPARK-12261: -------------------------------------------- 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? -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org