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Posted to issues@spark.apache.org by "张焕明 (Jira)" <ji...@apache.org> on 2019/09/27 09:27:00 UTC
[jira] [Updated] (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 ]
张焕明 updated SPARK-29272:
------------------------
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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