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Posted to issues@spark.apache.org by "张焕明 (Jira)" <ji...@apache.org> on 2019/09/27 09:24:00 UTC

[jira] [Created] (SPARK-29272) dataframe.write.format("libsvm").save() 保存时间太长

张焕明 created SPARK-29272:
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             Summary: dataframe.write.format("libsvm").save() 保存时间太长
                 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


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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