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https://issues.apache.org/jira/browse/SPARK-29272?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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张焕明 updated SPARK-29272:
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Summary: dataframe.write.format("libsvm").save() take too much time (was:
dataframe.write.format("libsvm").save() 保存时间太长)
> 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
>
> 我有一个pyspark的dataframe，小数据测试，只有3M，当调用
> MLUtils.convertVectorColumnsToML(dataframe).write.format("libsvm").save('path'),
> mode='overwrite')时，花费10秒，而当我用filter函数只筛选出10条数据再保存
> temp_df =
> dataframe.filter(train_df['__index'].between(int(0,10))，仍然需要8s的时间开销，为什么那么慢啊，我需要怎么改进吗
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