[jira] [Created] (SPARK-16449) unionAll raises "Task not serializable"

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

Jeff Levy created SPARK-16449:
---------------------------------

             Summary: unionAll raises "Task not serializable"
                 Key: SPARK-16449
                 URL: https://issues.apache.org/jira/browse/SPARK-16449
             Project: Spark
          Issue Type: Bug
          Components: PySpark
    Affects Versions: 1.6.1
         Environment: AWS EMR, Jupyter notebook
            Reporter: Jeff Levy
            Priority: Minor


Goal: Take the output from `describe` on a large DataFrame, then use a loop to calculate `skewness` and `kurtosis` from pyspark.sql.functions for each column, build them into a DataFrame of two rows, then use `unionAll` to merge them together.

Issue: Despite having the same column names, in the same order with the same dtypes, the `unionAll` fails with "Task not serializable".  However, if I build two test rows using dummy data then `unionAll` works fine.  Also, if I collect my results then turn them straight back into DataFrames, `unionAll` succeeds.  


Step-by-step code and output with comments can be seen here: https://github.com/UrbanInstitute/pyspark-tutorials/blob/master/unionAll%20error.ipynb



--
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