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Only run test_csv_infer_schema_timestamp_ntz tests with PySpark >= 3.4.1 #9445

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merged 1 commit into from
Oct 16, 2023
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Only run test_csv_infer_schema_timestamp_ntz tests with PySpark >= 3.4.1 #9445

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6 changes: 3 additions & 3 deletions integration_tests/src/main/python/csv_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@
from data_gen import *
from marks import *
from pyspark.sql.types import *
from spark_session import with_cpu_session, is_before_spark_330, is_spark_350_or_later, is_before_spark_340
from spark_session import with_cpu_session, is_before_spark_330, is_spark_350_or_later, is_before_spark_340, is_before_spark_341

_acq_schema = StructType([
StructField('loan_id', LongType()),
Expand Down Expand Up @@ -561,7 +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.skipif(is_before_spark_340(), reason='`TIMESTAMP_NTZ` is only supported in Spark 340+')
@pytest.mark.skipif(is_before_spark_341(), reason='`TIMESTAMP_NTZ` is only supported in PySpark 341+')
@pytest.mark.parametrize('date_format', csv_supported_date_formats)
@pytest.mark.parametrize('ts_part', csv_supported_ts_parts)
@pytest.mark.parametrize("timestamp_type", [
Expand All @@ -572,7 +572,7 @@ def test_csv_infer_schema_timestamp_ntz_v1(spark_tmp_path, date_format, ts_part,

@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.skipif(is_before_spark_341(), reason='`TIMESTAMP_NTZ` is only supported in PySpark 341+')
@pytest.mark.parametrize('date_format', csv_supported_date_formats)
@pytest.mark.parametrize('ts_part', csv_supported_ts_parts)
@pytest.mark.parametrize("timestamp_type", [
Expand Down