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From "Feynman Liang (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-10199) Avoid using reflections for parquet model save
Date Mon, 31 Aug 2015 22:20:46 GMT

    [ https://issues.apache.org/jira/browse/SPARK-10199?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14724138#comment-14724138
] 

Feynman Liang commented on SPARK-10199:
---------------------------------------

CC [~mengxr] [~josephkb]

> Avoid using reflections for parquet model save
> ----------------------------------------------
>
>                 Key: SPARK-10199
>                 URL: https://issues.apache.org/jira/browse/SPARK-10199
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, MLlib
>            Reporter: Feynman Liang
>            Priority: Minor
>
> These items are not high priority since the overhead writing to Parquest is much greater
than for runtime reflections.
> Multiple model save/load in MLlib use case classes to infer a schema for the data frame
saved to Parquet. However, inferring a schema from case classes or tuples uses [runtime reflection|https://github.com/apache/spark/blob/d7b4c095271c36fcc7f9ded267ecf5ec66fac803/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala#L361]
which is unnecessary since the types are already known at the time `save` is called.
> It would be better to just specify the schema for the data frame directly using {{sqlContext.createDataFrame(dataRDD,
schema)}}



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