[ 
https://issues.apache.org/jira/browse/SPARK-10199?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Feynman Liang updated SPARK-10199:
----------------------------------
    Description: 
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 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)`.

  was:
Multiple model save/load in ML use case classes to infer a schema for the data 
frame saved to Parquet. However, inferring a schema from case classes 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)`.


> 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
>
> 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 
> 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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