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[SPARK-56761][PYTHON][TESTS] Skip string-to-decimal assertions in test_type_coercion_string_to_numeric on Pandas 3 #55701

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[SPARK-56761][PYTHON][TESTS] Skip string-to-decimal assertions in test_type_coercion_string_to_numeric on Pandas 3 #55701

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18 changes: 14 additions & 4 deletions python/pyspark/sql/tests/arrow/test_arrow_python_udf.py
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Original file line number Diff line number Diff line change
Expand Up @@ -190,11 +190,21 @@ def test_type_coercion_string_to_numeric(self):
with self.assertRaises(PythonException):
df_floating_value.select(udf(lambda x: x, "int")("value").alias("res")).collect()

with self.assertRaises(PythonException):
df_int_value.select(udf(lambda x: x, "decimal")("value").alias("res")).collect()
# Pandas 3 backs string Series with an Arrow string array, and
# `pa.Array.from_pandas(series, type=pa.decimal128(...))` then silently
# casts those strings to decimal instead of raising. Skip the
# string -> decimal assertions on Pandas >= 3.
import pandas as pd
from pyspark.loose_version import LooseVersion

if LooseVersion(pd.__version__) < "3.0.0":
with self.assertRaises(PythonException):
df_int_value.select(udf(lambda x: x, "decimal")("value").alias("res")).collect()

with self.assertRaises(PythonException):
df_floating_value.select(udf(lambda x: x, "decimal")("value").alias("res")).collect()
with self.assertRaises(PythonException):
df_floating_value.select(
udf(lambda x: x, "decimal")("value").alias("res")
).collect()

def test_arrow_udf_int_to_decimal_coercion(self):
with self.sql_conf(
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