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[FEA] Fixed-point support for to_arrow and from_arrow #7116

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razajafri opened this issue Jan 11, 2021 · 5 comments · Fixed by #7609
Closed

[FEA] Fixed-point support for to_arrow and from_arrow #7116

razajafri opened this issue Jan 11, 2021 · 5 comments · Fixed by #7609
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feature request New feature or request libcudf Affects libcudf (C++/CUDA) code. Spark Functionality that helps Spark RAPIDS

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@razajafri
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Is your feature request related to a problem? Please describe.
Spark supports fixed-point precision for conversion to/from Arrow

Describe the solution you'd like
We need to support to_arrow and from_arrow for fixed-point precision

Additional context
This builds upon #3556

@razajafri razajafri added feature request New feature or request Needs Triage Need team to review and classify Spark Functionality that helps Spark RAPIDS labels Jan 11, 2021
@jrhemstad
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This will be a little tricky since Arrow uses 128bit integers for its fixed-point decimal representation. We'll need some conversion logic and such.

@kkraus14
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I believe @shwina has worked out the logic in Python in #6715 and ideally we could move that directly to libcudf.

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github-actions bot commented Mar 5, 2021

This issue has been labeled inactive-30d due to no recent activity in the past 30 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed. This issue will be labeled inactive-90d if there is no activity in the next 60 days.

@kkraus14
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kkraus14 commented Mar 5, 2021

This is planned to be tackled in 0.19.

@shwina
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shwina commented Mar 16, 2021

@codereport and I will be pairing on this, PR should be up shortly!

rapids-bot bot pushed a commit that referenced this issue Apr 12, 2021
devavret pushed a commit to harrism/cudf that referenced this issue Apr 14, 2021
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Labels
feature request New feature or request libcudf Affects libcudf (C++/CUDA) code. Spark Functionality that helps Spark RAPIDS
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5 participants