Jeff Levy created SPARK-16449:
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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
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