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Dask-cuDF cumulative groupby ops #10889

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merged 14 commits into from
Jul 27, 2022
Merged

Dask-cuDF cumulative groupby ops #10889

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26bff13
add tests
brandon-b-miller May 18, 2022
5b92522
Merge branch 'branch-22.08' into fea-daskcudf-cumsum-etc
brandon-b-miller Jun 8, 2022
f9297e7
Merge branch 'branch-22.08' into fea-daskcudf-cumsum-etc
brandon-b-miller Jun 8, 2022
346d0e8
Merge branch 'branch-22.08' into fea-daskcudf-cumsum-etc
brandon-b-miller Jun 29, 2022
1c9e7bf
Merge branch 'branch-22.08' into fea-daskcudf-cumsum-etc
brandon-b-miller Jul 11, 2022
12f3c17
working through bugs
brandon-b-miller Jul 12, 2022
5eb5bb8
updates
brandon-b-miller Jul 19, 2022
5fd707c
Merge branch 'branch-22.08' into fea-daskcudf-cumsum-etc
brandon-b-miller Jul 20, 2022
20fa2d2
Merge branch 'branch-22.08' into fea-daskcudf-cumsum-etc
brandon-b-miller Jul 25, 2022
10c6234
pass style checks
brandon-b-miller Jul 25, 2022
034f13c
test series object as well
brandon-b-miller Jul 25, 2022
2379a0a
Update python/dask_cudf/dask_cudf/tests/test_groupby.py
charlesbluca Jul 26, 2022
096f5d9
xfail and point to dask
brandon-b-miller Jul 26, 2022
9992e2e
Merge branch 'fea-daskcudf-cumsum-etc' of github.com:brandon-b-miller…
brandon-b-miller Jul 26, 2022
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9 changes: 8 additions & 1 deletion python/dask_cudf/dask_cudf/groupby.py
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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,12 @@
import cudf
from cudf.utils.utils import _dask_cudf_nvtx_annotate

SUPPORTED_AGGS = (
CUMULATIVE_AGGS = (
"cumsum",
"cumcount",
)

AGGS = (
"count",
"mean",
"std",
Expand All @@ -34,6 +39,8 @@
"last",
)

SUPPORTED_AGGS = (*AGGS, *CUMULATIVE_AGGS)


def _check_groupby_supported(func):
"""
Expand Down
38 changes: 33 additions & 5 deletions python/dask_cudf/dask_cudf/tests/test_groupby.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,12 +11,11 @@
from cudf.core._compat import PANDAS_GE_120

import dask_cudf
from dask_cudf.groupby import SUPPORTED_AGGS, _aggs_supported
from dask_cudf.groupby import AGGS, CUMULATIVE_AGGS, _aggs_supported


@pytest.mark.parametrize("aggregation", SUPPORTED_AGGS)
@pytest.mark.parametrize("series", [False, True])
def test_groupby_basic(series, aggregation):
@pytest.fixture
def pdf():
np.random.seed(0)

# note that column name "x" is a substring of the groupby key;
Expand All @@ -28,6 +27,12 @@ def test_groupby_basic(series, aggregation):
"y": np.random.normal(size=10000),
}
)
return pdf


@pytest.mark.parametrize("aggregation", AGGS)
@pytest.mark.parametrize("series", [False, True])
def test_groupby_basic(series, aggregation, pdf):

gdf = cudf.DataFrame.from_pandas(pdf)
gdf_grouped = gdf.groupby("xx")
Expand All @@ -54,6 +59,29 @@ def test_groupby_basic(series, aggregation):
dd.assert_eq(a, b)


@pytest.mark.parametrize("series", [True, False])
@pytest.mark.parametrize("aggregation", CUMULATIVE_AGGS)
def test_groupby_cumulative(aggregation, pdf, series):
gdf = cudf.DataFrame.from_pandas(pdf)
ddf = dask_cudf.from_cudf(gdf, npartitions=5)

gdf_grouped = gdf.groupby("xx")
ddf_grouped = ddf.groupby("xx")

if series:
gdf_grouped = gdf_grouped.xx
ddf_grouped = ddf_grouped.xx

a = getattr(gdf_grouped, aggregation)()
b = getattr(ddf_grouped, aggregation)().compute()

if aggregation == "cumsum" and series:
with pytest.xfail(reason="https://github.com/dask/dask/issues/9313"):
dd.assert_eq(a, b)
else:
dd.assert_eq(a, b)


@pytest.mark.parametrize(
"func",
[
Expand Down Expand Up @@ -679,7 +707,7 @@ def test_groupby_agg_redirect(aggregations):
],
)
def test_is_supported(arg, supported):
assert _aggs_supported(arg, SUPPORTED_AGGS) is supported
assert _aggs_supported(arg, AGGS) is supported
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Nitpicky, but we might want to keep this as SUPPORTED_AGGS to make sure we don't eventually mess something up with support for new aggregations down the line:

Suggested change
assert _aggs_supported(arg, AGGS) is supported
assert _aggs_supported(arg, SUPPORTED_AGGS) is supported

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@charlesbluca charlesbluca Jul 21, 2022 •
edited
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Actually, disregard this, I am forgetting that _aggs_supported really only needs to be tested for different groupby agg structures 😅 I think that a reasonable way to check that all aggregations are actually "supported" (i.e. use dask-cudf's groupby codepath) is to add the layer check I proposed in #10853



def test_groupby_unique_lists():
Expand Down