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-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org