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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/06/28 09:31:57 UTC
[jira] [Updated] (SPARK-16232) Getting error by making columns
using DataFrame
[ https://issues.apache.org/jira/browse/SPARK-16232?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-16232:
------------------------------
Flags: (was: Important)
Target Version/s: (was: 1.5.1)
> Getting error by making columns using DataFrame
> ------------------------------------------------
>
> Key: SPARK-16232
> URL: https://issues.apache.org/jira/browse/SPARK-16232
> Project: Spark
> Issue Type: Question
> Components: MLilb, PySpark
> Affects Versions: 1.5.1
> Environment: Winodws, ipython notebook
> Reporter: Inam Ur Rehman
> Labels: ipython, pandas, pyspark, python
>
> I am using pyspark in ipython notebook for analysis.
> I am following an example toturial this
> http://nbviewer.jupyter.org/github/bensadeghi/pyspark-churn-prediction/blob/master/churn-prediction.ipynb
> I am getting error on this step
> pd.DataFrame(CV_data.take(5), columns=CV_data.columns)
> Py4JJavaError: An error occurred while calling z:org.apache.spark.sql.execution.EvaluatePython.takeAndServe.
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 11.0 failed 1 times, most recent failure: Lost task 0.0 in stage 11.0 (TID 18, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
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