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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/09/27 12:04:00 UTC

[jira] [Resolved] (SPARK-29272) dataframe.write.format("libsvm").save() take too much time

     [ https://issues.apache.org/jira/browse/SPARK-29272?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-29272.
----------------------------------
    Resolution: Invalid

> dataframe.write.format("libsvm").save() take too much time
> ----------------------------------------------------------
>
>                 Key: SPARK-29272
>                 URL: https://issues.apache.org/jira/browse/SPARK-29272
>             Project: Spark
>          Issue Type: Question
>          Components: ML
>    Affects Versions: 2.2.0
>            Reporter: 张焕明
>            Priority: Major
>
> I have a pyspark dataframe with about 10 thousand records，while using pyspark api to dump the whole dataset. It take 10 seconds. While I use filter api to select 10 records and dump the temp_df again. It take 8 seconds.why will it take so much time? How can I improve it? Thank you!
> MLUtils.convertVectorColumnsToML(dataframe).write.format("libsvm").save('path'), mode='overwrite'),
> temp_df = dataframe.filter(train_df['__index'].between(int(0,10))



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