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Reduce execution time of Python ORC tests #14776

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merged 8 commits into from
Feb 8, 2024
Merged

Reduce execution time of Python ORC tests #14776

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b1f60d8
add stripe size support to chunked orc writer
vuule Jan 17, 2024
ac7ba75
reduce py ORC tests
vuule Jan 17, 2024
af56dd4
Merge branch 'branch-24.02' into impr-orc-py-tests
vuule Jan 18, 2024
dc021d7
Merge branch 'branch-24.04' into impr-orc-py-tests
vuule Feb 6, 2024
0d4de48
merge fix
vuule Feb 6, 2024
1f9b727
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vuule Feb 7, 2024
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vuule Feb 7, 2024
eedfc0d
Merge branch 'branch-24.04' into impr-orc-py-tests
vuule Feb 7, 2024
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47 changes: 24 additions & 23 deletions python/cudf/cudf/tests/test_orc.py
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Original file line number Diff line number Diff line change
Expand Up @@ -604,13 +604,13 @@ def normalized_equals(value1, value2):


@pytest.mark.parametrize("stats_freq", ["STRIPE", "ROWGROUP"])
@pytest.mark.parametrize("nrows", [1, 100, 6000000])
@pytest.mark.parametrize("nrows", [1, 100, 100000])
def test_orc_write_statistics(tmpdir, datadir, nrows, stats_freq):
from pyarrow import orc

supported_stat_types = supported_numpy_dtypes + ["str"]
# Can't write random bool columns until issue #6763 is fixed
if nrows == 6000000:
# Writing bool columns to multiple row groups is disabled until #6763 is fixed
if nrows == 100000:
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@bdice bdice Feb 7, 2024 •
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Why does this work for nrows=1 or nrows=100?

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We can write a single row group of random bools, just not multiple (at least not in the way that does not cause issues with other readers). So anything below 10k rows is fine. I know this is very hacky :(

supported_stat_types.remove("bool")

# Make a dataframe
Expand All @@ -623,7 +623,7 @@ def test_orc_write_statistics(tmpdir, datadir, nrows, stats_freq):
fname = tmpdir.join("gdf.orc")

# Write said dataframe to ORC with cuDF
gdf.to_orc(fname.strpath, statistics=stats_freq)
gdf.to_orc(fname.strpath, statistics=stats_freq, stripe_size_rows=30000)

# Read back written ORC's statistics
orc_file = orc.ORCFile(fname)
Expand Down Expand Up @@ -678,28 +678,30 @@ def test_orc_write_statistics(tmpdir, datadir, nrows, stats_freq):


@pytest.mark.parametrize("stats_freq", ["STRIPE", "ROWGROUP"])
@pytest.mark.parametrize("nrows", [2, 100, 6000000])
@pytest.mark.parametrize("nrows", [2, 100, 200000])
def test_orc_chunked_write_statistics(tmpdir, datadir, nrows, stats_freq):
from pyarrow import orc

np.random.seed(0)
supported_stat_types = supported_numpy_dtypes + ["str"]
# Can't write random bool columns until issue #6763 is fixed
if nrows == 6000000:
# Writing bool columns to multiple row groups is disabled until #6763 is fixed
if nrows == 200000:
supported_stat_types.remove("bool")

gdf_fname = tmpdir.join("chunked_stats.orc")
writer = ORCWriter(gdf_fname)
writer = ORCWriter(
gdf_fname, statistics=stats_freq, stripe_size_rows=30000
)

max_char_length = 1000 if nrows < 10000 else 100
max_char_length = 100 if nrows < 10000 else 10

# Make a dataframe
gdf = cudf.DataFrame(
{
"col_"
+ str(dtype): gen_rand_series(
dtype,
int(nrows / 2),
nrows // 2,
has_nulls=True,
low=0,
high=max_char_length,
Expand All @@ -718,7 +720,7 @@ def test_orc_chunked_write_statistics(tmpdir, datadir, nrows, stats_freq):
"col_"
+ str(dtype): gen_rand_series(
dtype,
int(nrows / 2),
nrows // 2,
has_nulls=True,
low=0,
high=max_char_length,
Expand Down Expand Up @@ -785,7 +787,7 @@ def test_orc_chunked_write_statistics(tmpdir, datadir, nrows, stats_freq):
assert stats_num_vals == actual_num_vals


@pytest.mark.parametrize("nrows", [1, 100, 6000000])
@pytest.mark.parametrize("nrows", [1, 100, 100000])
def test_orc_write_bool_statistics(tmpdir, datadir, nrows):
from pyarrow import orc

Expand All @@ -794,7 +796,7 @@ def test_orc_write_bool_statistics(tmpdir, datadir, nrows):
fname = tmpdir.join("gdf.orc")

# Write said dataframe to ORC with cuDF
gdf.to_orc(fname.strpath)
gdf.to_orc(fname.strpath, stripe_size_rows=30000)

# Read back written ORC's statistics
orc_file = orc.ORCFile(fname)
Expand Down Expand Up @@ -848,21 +850,20 @@ def test_orc_bool_encode_fail():
np.random.seed(0)
buffer = BytesIO()

# Generate a boolean column longer than a single stripe
fail_df = cudf.DataFrame({"col": gen_rand_series("bool", 600000)})
# Invalidate the first row in the second stripe to break encoding
fail_df["col"][500000] = None
# Generate a boolean column longer than a single row group
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Modified this test based on the actual checks we perform on bool columns - all row groups except for the last one in each stripe need to have the number of valid elements divisible by 8. The row group size is 10k, so a single null fails this check and the writer should throw.
I have no idea what I meant with the original comments, they don't match the code at all 🤷‍♂️

fail_df = cudf.DataFrame({"col": gen_rand_series("bool", 20000)})
# Invalidate a row in the first row group
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the old comment was incorrect, the test file had a single stripe

fail_df["col"][5000] = None

# Should throw instead of generating a file that is incompatible
# with other readers (see issue #6763)
with pytest.raises(RuntimeError):
fail_df.to_orc(buffer)

# Generate a boolean column that fits into a single stripe
okay_df = cudf.DataFrame({"col": gen_rand_series("bool", 500000)})
okay_df["col"][500000 - 1] = None
# Invalid row is in the last row group of the stripe;
# encoding is assumed to be correct
# Generate a boolean column longer than a single row group
okay_df = cudf.DataFrame({"col": gen_rand_series("bool", 20000)})
okay_df["col"][15000] = None
# Invalid row is in the last row group; encoding is assumed to be correct
okay_df.to_orc(buffer)

# Also validate data
Expand Down Expand Up @@ -1130,7 +1131,7 @@ def test_pyspark_struct(datadir):
assert_eq(pdf, gdf)


def gen_map_buff(size=10000):
def gen_map_buff(size):
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default value was unused

from string import ascii_letters as al

from pyarrow import orc
Expand Down
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