[
https://issues.apache.org/jira/browse/SPARK-15380?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15288797#comment-15288797
]
Apache Spark commented on SPARK-15380:
--------------------------------------
User 'kiszk' has created a pull request for this issue:
https://github.com/apache/spark/pull/13171
> Generate code that stores a float/double value in each column from
> ColumnarBatch when DataFrame.cache() is used
> ---------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-15380
> URL: https://issues.apache.org/jira/browse/SPARK-15380
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Kazuaki Ishizaki
>
> When DataFrame.cache() is called, data will be stored as column-oriented
> storage in CachedBatch. The current Catalyst generates Java program to store
> a computed value to an InternalRow and then the value is stored into
> CachedBatch even if data is read from ColumnarBatch for ParquetReader.
> This JIRA generates Java code to store a value into a ColumnarBatch, and
> store data from the ColumnarBatch to the CachedBatch. This JIRA handles only
> float and double types for a value.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
