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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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