[SPARK-45141][PYTHON][INFRA][TESTS] Pin pyarrow==12.0.1 in CI
#42897
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I guess the reason is: #42842 disable old cache, and rebuild the whole image with pyarrow=13.0.0 before #42842 the cached |
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In order to not forget, could you add a TODO PR for PyArrow 13.x, @zhengruifeng ?
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@dongjoon-hyun thanks for the reminder, I create https://issues.apache.org/jira/browse/SPARK-45143 to track this issue |
HyukjinKwon
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Sep 13, 2023
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pyarrow==12.0.1 in CIpyarrow==12.0.1 in CI
HyukjinKwon
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pyarrow==12.0.1 in CIpyarrow==12.0.1 in CI
itholic
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Sep 13, 2023
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all python tests passed, merged to master |
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Thanks! |
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According to #45545 (comment) , let me backport this to branch-3.5 and 3.4 to recover the CIs. |
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### What changes were proposed in this pull request? Pin `pyarrow==12.0.1` in CI ### Why are the changes needed? to fix test failure, https://github.com/apache/spark/actions/runs/6167186123/job/16738683632 ``` ====================================================================== FAIL [0.095s]: test_from_to_pandas (pyspark.pandas.tests.data_type_ops.test_datetime_ops.DatetimeOpsTests) ---------------------------------------------------------------------- Traceback (most recent call last): File "/__w/spark/spark/python/pyspark/testing/pandasutils.py", line 122, in _assert_pandas_equal assert_series_equal( File "/usr/local/lib/python3.9/dist-packages/pandas/_testing/asserters.py", line 931, in assert_series_equal assert_attr_equal("dtype", left, right, obj=f"Attributes of {obj}") File "/usr/local/lib/python3.9/dist-packages/pandas/_testing/asserters.py", line 415, in assert_attr_equal raise_assert_detail(obj, msg, left_attr, right_attr) File "/usr/local/lib/python3.9/dist-packages/pandas/_testing/asserters.py", line 599, in raise_assert_detail raise AssertionError(msg) AssertionError: Attributes of Series are different Attribute "dtype" are different [left]: datetime64[ns] [right]: datetime64[us] ``` ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? CI and manually test ### Was this patch authored or co-authored using generative AI tooling? No Closes #42897 from zhengruifeng/pin_pyarrow. Authored-by: Ruifeng Zheng <[email protected]> Signed-off-by: Ruifeng Zheng <[email protected]> (cherry picked from commit e3d2dfa) Signed-off-by: Dongjoon Hyun <[email protected]>
dongjoon-hyun
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Mar 17, 2024
Pin `pyarrow==12.0.1` in CI to fix test failure, https://github.com/apache/spark/actions/runs/6167186123/job/16738683632 ``` ====================================================================== FAIL [0.095s]: test_from_to_pandas (pyspark.pandas.tests.data_type_ops.test_datetime_ops.DatetimeOpsTests) ---------------------------------------------------------------------- Traceback (most recent call last): File "/__w/spark/spark/python/pyspark/testing/pandasutils.py", line 122, in _assert_pandas_equal assert_series_equal( File "/usr/local/lib/python3.9/dist-packages/pandas/_testing/asserters.py", line 931, in assert_series_equal assert_attr_equal("dtype", left, right, obj=f"Attributes of {obj}") File "/usr/local/lib/python3.9/dist-packages/pandas/_testing/asserters.py", line 415, in assert_attr_equal raise_assert_detail(obj, msg, left_attr, right_attr) File "/usr/local/lib/python3.9/dist-packages/pandas/_testing/asserters.py", line 599, in raise_assert_detail raise AssertionError(msg) AssertionError: Attributes of Series are different Attribute "dtype" are different [left]: datetime64[ns] [right]: datetime64[us] ``` No CI and manually test No Closes #42897 from zhengruifeng/pin_pyarrow. Authored-by: Ruifeng Zheng <[email protected]> Signed-off-by: Ruifeng Zheng <[email protected]> (cherry picked from commit e3d2dfa) Signed-off-by: Dongjoon Hyun <[email protected]> (cherry picked from commit 8049a20) Signed-off-by: Dongjoon Hyun <[email protected]>
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What changes were proposed in this pull request?
Pin
pyarrow==12.0.1in CIWhy are the changes needed?
to fix test failure, https://github.com/apache/spark/actions/runs/6167186123/job/16738683632
Does this PR introduce any user-facing change?
No
How was this patch tested?
CI and manually test
Was this patch authored or co-authored using generative AI tooling?
No