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@ueshin ueshin commented Mar 4, 2021

Now that Spark 3.1 has been released, we should refresh GitHub Action's workflow matrix to focus more on the newer versions.

The new matrix:

Python PySpark pandas PyArrow
3.5 2.3.4 0.23.4 0.16.0
3.6 2.3.4 0.24.2 0.10.0
3.6 2.4.7 0.24.2 0.14.1
3.7 2.4.7 0.25.3 0.15.1
3.7 3.0.2 1.0.5 1.0.1
3.7 3.1.1 1.1.5 2.0.0
3.8 3.0.2 1.1.5 2.0.0
3.8 3.1.1 1.2.3 3.0.0

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Yeah, sounds good if tests pass.

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codecov-io commented Mar 5, 2021

Codecov Report

Merging #2083 (57add74) into master (9150ca4) will decrease coverage by 0.96%.
The diff coverage is 100.00%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master    #2083      +/-   ##
==========================================
- Coverage   95.27%   94.31%   -0.97%     
==========================================
  Files          57       57              
  Lines       13196    13219      +23     
==========================================
- Hits        12573    12467     -106     
- Misses        623      752     +129     
Impacted Files Coverage Δ
databricks/koalas/internal.py 95.31% <ø> (-1.31%) ⬇️
databricks/koalas/indexes/multi.py 93.40% <100.00%> (-0.44%) ⬇️
databricks/koalas/usage_logging/__init__.py 26.66% <0.00%> (-65.84%) ⬇️
databricks/koalas/usage_logging/usage_logger.py 47.82% <0.00%> (-52.18%) ⬇️
databricks/conftest.py 92.18% <0.00%> (-7.82%) ⬇️
databricks/koalas/typedef/typehints.py 87.70% <0.00%> (-6.71%) ⬇️
databricks/koalas/__init__.py 88.00% <0.00%> (-4.00%) ⬇️
databricks/koalas/tests/indexes/test_datetime.py 96.92% <0.00%> (-3.08%) ⬇️
databricks/koalas/indexes/datetimes.py 96.58% <0.00%> (-1.52%) ⬇️
... and 2 more

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@ueshin ueshin marked this pull request as ready for review March 5, 2021 03:57
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ueshin commented Mar 6, 2021

Let me merge this now. Please feel free to leave comments if any. Thanks.

@ueshin ueshin merged commit b32203b into databricks:master Mar 6, 2021
@ueshin ueshin deleted the workflow_matrix branch March 6, 2021 00:40
@ueshin ueshin mentioned this pull request Mar 6, 2021
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3 participants