Hyukjin Kwon created SPARK-46181:
------------------------------------
Summary: Split scheduled Python build
Key: SPARK-46181
URL: https://issues.apache.org/jira/browse/SPARK-46181
Project: Spark
Issue Type: Sub-task
Components: Project Infra, PySpark
Affects Versions: 4.0.0
Reporter: Hyukjin Kwon
Python 3.12 build fails as below:
{code}
/__w/spark/spark/python/pyspark/pandas/utils.py:1015:
PandasAPIOnSparkAdviceWarning: `to_pandas` loads all data into the driver's
memory. It should only be used if the resulting pandas Series is expected to be
small.
warnings.warn(message, PandasAPIOnSparkAdviceWarning)
/__w/spark/spark/python/pyspark/testing/pandasutils.py:401: FutureWarning:
`assertPandasOnSparkEqual` will be removed in Spark 4.0.0. Use
`ps.testing.assert_frame_equal`, `ps.testing.assert_series_equal` and
`ps.testing.assert_index_equal` instead.
warnings.warn(
/__w/spark/spark/python/pyspark/pandas/utils.py:1015:
PandasAPIOnSparkAdviceWarning: `to_pandas` loads all data into the driver's
memory. It should only be used if the resulting pandas DataFrame is expected to
be small.
warnings.warn(message, PandasAPIOnSparkAdviceWarning)
ok (15.809s)
test_groupby_rolling_sum
(pyspark.pandas.tests.connect.test_parity_ops_on_diff_frames_groupby_rolling.OpsOnDiffFramesGroupByRollingParityTests.test_groupby_rolling_sum)
... ERROR StatusCo
Had test failures in
pyspark.pandas.tests.connect.test_parity_ops_on_diff_frames_groupby_rolling
with python3.12; see logs.
Error: running /__w/spark/spark/python/run-tests
--modules=pyspark-pandas-connect-part2 --parallelism=1
--python-executables=pypy3,python3.10,python3.11,python3.12 ; received return
code 255
Error: Process completed with exit code 19.
{code}
https://github.com/apache/spark/actions/runs/7034467411/job/19154767856
I suspect this by OOM. We could split the build.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
