Skip to content
New issue

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

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

Already on GitHub? Sign in to your account

Temporarily skip failing tests test_csv_infer_schema_timestamp_ntz* #9335

Merged
merged 1 commit into from
Sep 28, 2023
Merged
Changes from all commits
Commits
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
2 changes: 2 additions & 0 deletions integration_tests/src/main/python/csv_test.py
Original file line number Diff line number Diff line change
Expand Up @@ -561,6 +561,7 @@ def test_csv_read_count(spark_tmp_path):
conf = {'spark.rapids.sql.explain': 'ALL'})

@allow_non_gpu('FileSourceScanExec', 'ProjectExec', 'CollectLimitExec', 'DeserializeToObjectExec')
@pytest.mark.skip(reason="https://github.com/NVIDIA/spark-rapids/issues/9325")
@pytest.mark.skipif(is_before_spark_340(), reason='`TIMESTAMP_NTZ` is only supported in Spark 340+')
@pytest.mark.parametrize('date_format', csv_supported_date_formats)
@pytest.mark.parametrize('ts_part', csv_supported_ts_parts)
Expand All @@ -569,6 +570,7 @@ def test_csv_infer_schema_timestamp_ntz_v1(spark_tmp_path, date_format, ts_part,
csv_infer_schema_timestamp_ntz(spark_tmp_path, date_format, ts_part, timestamp_type, 'csv', 'FileSourceScanExec')

@allow_non_gpu('BatchScanExec', 'FileSourceScanExec', 'ProjectExec', 'CollectLimitExec', 'DeserializeToObjectExec')
@pytest.mark.skip(reason="https://github.com/NVIDIA/spark-rapids/issues/9325")
@pytest.mark.skipif(is_before_spark_340(), reason='`TIMESTAMP_NTZ` is only supported in Spark 340+')
@pytest.mark.parametrize('date_format', csv_supported_date_formats)
@pytest.mark.parametrize('ts_part', csv_supported_ts_parts)
Expand Down