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Posted to issues@spark.apache.org by "Srinivasan (JIRA)" <ji...@apache.org> on 2018/04/12 10:47:00 UTC

[jira] [Created] (SPARK-23969) Using FPGrowth with PipelinedRDD gives EOF Error

Srinivasan created SPARK-23969:
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             Summary: Using FPGrowth with PipelinedRDD gives EOF Error
                 Key: SPARK-23969
                 URL: https://issues.apache.org/jira/browse/SPARK-23969
             Project: Spark
          Issue Type: Bug
          Components: MLlib, Spark Submit
    Affects Versions: 2.0.2
         Environment: Spark 2.0.2

Python2.6 (This is due to a slight issue with the Altiscale environment we are using. We will be moving to 3.5)

Driver Memory = 32GB

5 nodes with 4 cores each and 32GB memory

Shuffle Service = False

Dynamic Allocation = False

Cross Join = True
            Reporter: Srinivasan


I am trying to find association rule on a data set with 27 million rows and 9 columns. The data is stored in a hive table and loaded into an RDD. 

I am not using the collect function as I keep getting out of memory error. I understand that FPGrowth needs a list of transactions. Which means I need to convert my dataframe into a list of lists. But I keep getting serializer.py EOF error.



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