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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/10/24 08:48:58 UTC

[jira] [Resolved] (SPARK-18071) How to solve Java heap space error in prefixSpan (pySpark)?

     [ https://issues.apache.org/jira/browse/SPARK-18071?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-18071.
-------------------------------
    Resolution: Invalid

Please read https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark first

Questions should start at the mailing list. But, the first answer is that you need more memory.

> How to solve Java heap space error in prefixSpan (pySpark)?
> -----------------------------------------------------------
>
>                 Key: SPARK-18071
>                 URL: https://issues.apache.org/jira/browse/SPARK-18071
>             Project: Spark
>          Issue Type: Question
>         Environment: pySpark
>            Reporter: Naveen Mathew
>            Priority: Minor
>
> data = sc.parallelize(sequences, 2)
> model = PrefixSpan.train(data)
> model.freqSequences().collect()
> ** Java heap space error **



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