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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2020/09/20 00:13:00 UTC
[jira] [Work logged] (BEAM-10814) DataframeTransform: when input is
element-wise produce element-wise output
[ https://issues.apache.org/jira/browse/BEAM-10814?focusedWorklogId=486587&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-486587 ]
ASF GitHub Bot logged work on BEAM-10814:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 20/Sep/20 00:12
Start Date: 20/Sep/20 00:12
Worklog Time Spent: 10m
Work Description: TheNeuralBit opened a new pull request #12882:
URL: https://github.com/apache/beam/pull/12882
This PR adds the ability for `DataframeTransform` to produce element-wise PCollections, via a new `UnbatchPandas` transform. The original behavior is still possible, with a `yield_dataframes=True` option.
In order to support this, the PR also adds more robust support for converting between native Python types and pandas/numpy dtypes. Note that pandas' catch-all `np.object` type is mapped to `typing.Any`. This PR also closes BEAM-10570 - it adds support for RowCoder to encode fields with arbitrary Python types using FastPrimitivesCoder.
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Issue Time Tracking
-------------------
Worklog Id: (was: 486587)
Remaining Estimate: 0h
Time Spent: 10m
> DataframeTransform: when input is element-wise produce element-wise output
> --------------------------------------------------------------------------
>
> Key: BEAM-10814
> URL: https://issues.apache.org/jira/browse/BEAM-10814
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Brian Hulette
> Assignee: Brian Hulette
> Priority: P2
> Fix For: 2.25.0
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> If input is DataFrame yield DataFrames, if it's elements yield elements.
> We should also provide a way to override the default
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