Weichen Xu created SPARK-34463:
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Summary: toPandas failed with error: buffer source array is
read-only
Key: SPARK-34463
URL: https://issues.apache.org/jira/browse/SPARK-34463
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 3.0.2
Reporter: Weichen Xu
Environment:
apache/park master
pandas version > 1.0.5
Reproduce code:
{code: python}
spark.conf.set('spark.sql.execution.arrow.pyspark.enabled', True)
spark.conf.set('spark.sql.execution.arrow.pyspark.selfDestruct.enabled', True)
spark.createDataFrame(sc.parallelize([(i,) for i in
range(13)], 1), 'id long').selectExpr('IF(id % 3==0, id+1, NULL) AS f1',
'(id+1) % 2 AS label').toPandas()['label'].value_counts()
{code}
Get error like:
{{Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pandas/core/base.py",
line 1033, in value_counts
dropna=dropna,
File
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pandas/core/algorithms.py",
line 820, in value_counts
keys, counts = value_counts_arraylike(values, dropna)
File
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pandas/core/algorithms.py",
line 865, in value_counts_arraylike
keys, counts = f(values, dropna)
File "pandas/_libs/hashtable_func_helper.pxi", line 1098, in
pandas._libs.hashtable.value_count_int64
File "stringsource", line 658, in View.MemoryView.memoryview_cwrapper
File "stringsource", line 349, in View.MemoryView.memoryview.__cinit__
ValueError: buffer source array is read-only
}}
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