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