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Posted to issues@spark.apache.org by "Feynman Liang (JIRA)" <ji...@apache.org> on 2015/08/25 02:01:34 UTC
[jira] [Updated] (SPARK-10199) Avoid using reflections for parquet
model save
[ https://issues.apache.org/jira/browse/SPARK-10199?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Feynman Liang updated SPARK-10199:
----------------------------------
Component/s: MLlib
> 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 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)`.
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