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Enable the tests for collect over window. #1830

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Mar 9, 2021
Merged

Enable the tests for collect over window. #1830

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88 changes: 33 additions & 55 deletions integration_tests/src/main/python/window_function_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -223,66 +223,44 @@ def test_window_aggs_for_ranges_of_dates(data_gen):
'from window_agg_table'
)

_gen_data_for_collect = [
('a', RepeatSeqGen(LongGen(), length=20)),
('b', IntegerGen()),
('c_int', IntegerGen()),
('c_long', LongGen()),
('c_time', DateGen()),
('c_string', StringGen()),
('c_float', FloatGen()),
('c_decimal', DecimalGen(precision=8, scale=3)),
('c_struct', StructGen(children=[
['child_int', IntegerGen()],
['child_time', DateGen()],
['child_string', StringGen()],
['child_decimal', DecimalGen(precision=8, scale=3)]]))]

def _gen_data_for_collect(nullable=True):
return [
('a', RepeatSeqGen(LongGen(), length=20)),
('b', IntegerGen()),
('c_int', IntegerGen(nullable=nullable)),
('c_long', LongGen(nullable=nullable)),
('c_time', DateGen(nullable=nullable)),
('c_string', StringGen(nullable=nullable)),
('c_float', FloatGen(nullable=nullable)),
('c_decimal', DecimalGen(nullable=nullable, precision=8, scale=3)),
('c_struct', StructGen(nullable=nullable, children=[
['child_int', IntegerGen()],
['child_time', DateGen()],
['child_string', StringGen()],
['child_decimal', DecimalGen(precision=8, scale=3)]]))]



_collect_sql_string =\
'''
select
collect_list(c_int) over
(partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_int,
collect_list(c_long) over
(partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_long,
collect_list(c_time) over
(partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_time,
collect_list(c_string) over
(partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_string,
collect_list(c_float) over
(partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_float,
collect_list(c_decimal) over
(partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_decimal,
collect_list(c_struct) over
(partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_struct
from window_collect_table
'''

# SortExec does not support array type, so sort the result locally.
@ignore_order(local=True)
@pytest.mark.xfail(reason="https://github.com/NVIDIA/spark-rapids/issues/1638")
def test_window_aggs_for_rows_collect_list():
assert_gpu_and_cpu_are_equal_sql(
lambda spark : gen_df(spark, _gen_data_for_collect(), length=2048),
"window_collect_table",
_collect_sql_string,
{'spark.rapids.sql.expression.CollectList': 'true'})


'''
Spark will drop nulls when collecting, but seems GPU does not yet, so exceptions come up.
Now set nullable to false to verify the current functionality without null values.
Once native supports dropping nulls, will enable the tests above and remove this one.
'''
# SortExec does not support array type, so sort the result locally.
@ignore_order(local=True)
def test_window_aggs_for_rows_collect_list_no_nulls():
assert_gpu_and_cpu_are_equal_sql(
lambda spark : gen_df(spark, _gen_data_for_collect(False), length=2048),
lambda spark : gen_df(spark, _gen_data_for_collect),
"window_collect_table",
_collect_sql_string,
'''
select
collect_list(c_int) over
(partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_int,
collect_list(c_long) over
(partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_long,
collect_list(c_time) over
(partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_time,
collect_list(c_string) over
(partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_string,
collect_list(c_float) over
(partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_float,
collect_list(c_decimal) over
(partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_decimal,
collect_list(c_struct) over
(partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_struct
from window_collect_table
''',
{'spark.rapids.sql.expression.CollectList': 'true'})