[
https://issues.apache.org/jira/browse/SPARK-14098?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Kazuaki Ishizaki updated SPARK-14098:
-------------------------------------
Description:
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.
was:
When DataFrame.cache() is called, data is stored as column-oriented storage in
CachedBatch. In some cases, data is compressed.
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.
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
