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Posted to issues@spark.apache.org by "Shuai Lin (JIRA)" <ji...@apache.org> on 2017/01/28 08:48:24 UTC
[jira] [Commented] (SPARK-14098) Generate code that get a
float/double value in each column from CachedBatch when DataFrame.cache()
is called
[ https://issues.apache.org/jira/browse/SPARK-14098?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15843996#comment-15843996 ]
Shuai Lin commented on SPARK-14098:
-----------------------------------
[~kiszk] Seems the title/description of this ticket is not on par with what is done in https://github.com/apache/spark/pull/15219 . Should we update the title/description here?
> Generate code that get a float/double value in each column from CachedBatch when DataFrame.cache() is called
> ------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-14098
> URL: https://issues.apache.org/jira/browse/SPARK-14098
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Kazuaki Ishizaki
>
> When DataFrame.cache() is called, data is stored as column-oriented storage in CachedBatch. The current Catalyst generates Java program to get a value of a column from an InternalRow that is translated from CachedBatch. This issue generates Java code to get a value of a column from CachedBatch. While a column for a cache may be compressed, this issue handles float and double types that are never compressed.
> Other primitive types, whose column may be compressed, will be addressed in another entry.
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