[
https://issues.apache.org/jira/browse/ARROW-17029?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tobias Zagorni updated ARROW-17029:
-----------------------------------
Description:
Topics I can think of right now:
* introducing some utility functions for working with RLE data that I'm
collecting currently as rle_util.h on my filter branch
* how physical/logical indices work, especially in combination with arrow
offsets
* how common kinds of kernels can be converted to RLE. E.g scalar kernels with
a single input could automatically be run on the internal data array of RLE.
Scalar with multiple inputs and some kinds of vector algorithms should use
VisitMergedRuns...
was:
Topics I can think of right now: * introducing some utility functions for
working with RLE data that I'm collecting currently as rle_util.h on my filter
branch
* how physical/logical indices work, especially in combination with arrow
offsets
* how common kinds of kernels can be converted to RLE. E.g scalar kernels with
a single input could automatically be run on the internal data array of RLE.
Scalar with multiple inputs and some kinds of vector algorithms should use
VisitMergedRuns...
> [Docs][C++] Guide to to work with RLE data (in kernels?)
> --------------------------------------------------------
>
> Key: ARROW-17029
> URL: https://issues.apache.org/jira/browse/ARROW-17029
> Project: Apache Arrow
> Issue Type: Sub-task
> Components: C++, Documentation
> Reporter: Tobias Zagorni
> Priority: Major
>
> Topics I can think of right now:
> * introducing some utility functions for working with RLE data that I'm
> collecting currently as rle_util.h on my filter branch
> * how physical/logical indices work, especially in combination with arrow
> offsets
> * how common kinds of kernels can be converted to RLE. E.g scalar kernels
> with a single input could automatically be run on the internal data array of
> RLE. Scalar with multiple inputs and some kinds of vector algorithms should
> use VisitMergedRuns...
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
