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https://issues.apache.org/jira/browse/SPARK-29272?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16939367#comment-16939367
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Hyukjin Kwon commented on SPARK-29272:
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Questions should go to mailing list or stackoverflow. You would be able to get
a better answer there.
> 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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