Skip to content
New issue

Have a question about this project? # for a free GitHub account to open an issue and contact its maintainers and the community.

#

By clicking “#”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? # to your account

Fix some cast_tests for Spark 4.0.0 [databricks] #11049

Merged
merged 1 commit into from
Jun 28, 2024
Merged

Fix some cast_tests for Spark 4.0.0 [databricks] #11049

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
9 changes: 6 additions & 3 deletions integration_tests/src/main/python/cast_test.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# Copyright (c) 2021-2023, NVIDIA CORPORATION.
# Copyright (c) 2021-2024, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
Expand Down Expand Up @@ -427,7 +427,10 @@ def fun(spark):
data = [invalid_value]
df = spark.createDataFrame(data, type)
return df.select(f.col('value').cast(TimestampType())).collect()
assert_gpu_and_cpu_error(fun, {"spark.sql.ansi.enabled": True}, "SparkDateTimeException")

assert_gpu_and_cpu_error(fun, {"spark.sql.ansi.enabled": True},
error_message="SparkDateTimeException"
if is_before_spark_400() else "DateTimeException")

# if float.floor > Long.max or float.ceil < Long.min, throw exception
@pytest.mark.skipif(is_before_spark_330(), reason="ansi cast throws exception only in 3.3.0+")
Expand Down Expand Up @@ -583,7 +586,7 @@ def fun(spark):
data=[invalid_string]
df = spark.createDataFrame(data, StringType())
return df.select(f.col('value').cast(dtType)).collect()
assert_gpu_and_cpu_error(fun, {}, "java.lang.IllegalArgumentException")
assert_gpu_and_cpu_error(fun, {}, "IllegalArgumentException")

@pytest.mark.skipif(is_before_spark_330(), reason='casting between interval and integral is not supported before Pyspark 3.3.0')
def test_cast_day_time_interval_to_integral_no_overflow():
Expand Down