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compat: Support dask query-planning, drop Python 3.9 #171
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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #171 +/- ##
==========================================
- Coverage 77.74% 77.64% -0.11%
==========================================
Files 50 50
Lines 4871 4875 +4
==========================================
- Hits 3787 3785 -2
- Misses 1084 1090 +6 ☔ View full report in Codecov by Sentry. |
@@ -13,25 +13,22 @@ | |||
from dask import delayed | |||
from dask.dataframe.core import get_parallel_type | |||
from dask.dataframe.extensions import make_array_nonempty | |||
from dask.dataframe.partitionquantiles import partition_quantiles |
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This was removed when they dropped the legacy implementation:
USE_PYGEOS = '0' | ||
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[environments] | ||
test-39 = ["py39", "test-core", "test", "test-task", "example", "test-example"] |
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dask 2025.1 only supports Python 3.10.
) | ||
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with warnings.catch_warnings(): | ||
warnings.filterwarnings( |
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This only happens for s3 parquet tests with following warning:
UserWarning: Dask annotations {'retries': 5} detected. Annotations will be ignored when using query-planning.
Full output
❯ pytest "spatialpandas/tests/test_parquet_s3.py::test_read_parquet_dask_remote[glob_parquet]"
/home/shh/.local/conda/envs/holoviz/lib/python3.12/site-packages/pytest_asyncio/plugin.py:207: PytestDeprecationWarning: The configuration option "asyncio_default_fixture_loop_scope" is unset.
The event loop scope for asynchronous fixtures will default to the fixture caching scope. Future versions of pytest-asyncio will default the loop scope for asynchronous fixtures to function scope. Set the default fixture loop scope explicitly in order to avoid unexpected behavior in the future. Valid fixture loop scopes are: "function", "class", "module", "package", "session"
warnings.warn(PytestDeprecationWarning(_DEFAULT_FIXTURE_LOOP_SCOPE_UNSET))
===================================================================================================================== test session starts =====================================================================================================================
platform linux -- Python 3.12.8, pytest-8.3.4, pluggy-1.5.0
Using --randomly-seed=2711051231
rootdir: /home/shh/projects/holoviz/repos/spatialpandas
configfile: pyproject.toml
plugins: hypothesis-6.124.7, anyio-4.8.0, xdist-3.6.1, rerunfailures-15.0, randomly-3.15.0, asyncio-0.25.3, base-url-2.1.0, nbval-0.11.0, playwright-0.6.2
asyncio: mode=Mode.STRICT, asyncio_default_fixture_loop_scope=None
collected 1 item
spatialpandas/tests/test_parquet_s3.py E [100%]
=========================================================================================================================== ERRORS ============================================================================================================================
________________________________________________________________________________________________ ERROR at setup of test_read_parquet_dask_remote[glob_parquet] ________________________________________________________________________________________________
s3_fixture = ('s3://test_bucket', {'anon': False, 'endpoint_url': 'http://127.0.0.1:5555/'}), sdf = point
0 Point([0.0, 1.0])
1 Point([2.0, 3.0])
2 Point([4.0, 5.0])
3 Point([6.0, 7.0])
@pytest.fixture(scope="module")
def s3_parquet_dask(s3_fixture, sdf):
path, s3so = s3_fixture
path = f"{path}/test_dask"
ddf = dd.from_pandas(sdf, npartitions=2)
> to_parquet_dask(ddf, path, storage_options=s3so)
spatialpandas/tests/test_parquet_s3.py:69:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
spatialpandas/io/parquet.py:189: in to_parquet_dask
dd_to_parquet(
/home/shh/.local/conda/envs/holoviz/lib/python3.12/site-packages/dask/dataframe/dask_expr/io/parquet.py:634: in to_parquet
out = new_collection(
/home/shh/.local/conda/envs/holoviz/lib/python3.12/site-packages/dask/dataframe/dask_expr/_collection.py:4816: in new_collection
return get_collection_type(meta)(expr)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <[RecursionError('maximum recursion depth exceeded') raised in repr()] Scalar object at 0x7db63aa19130>
expr = ToParquet(frame=RenameFrame(frame=ResetIndex(frame=df), columns={'index': '__null_dask_index__'}), path='test_bucket/t...'schema': point: fixed_size_binary[8]
__null_dask_index__: int64, 'index_cols': ['__null_dask_index__']}, append=False)
def __init__(self, expr):
global _WARN_ANNOTATIONS
if _WARN_ANNOTATIONS and (annot := get_annotations()):
_WARN_ANNOTATIONS = False
> warnings.warn(
f"Dask annotations {annot} detected. Annotations will be ignored when using query-planning."
)
E UserWarning: Dask annotations {'retries': 5} detected. Annotations will be ignored when using query-planning.
/home/shh/.local/conda/envs/holoviz/lib/python3.12/site-packages/dask/dataframe/dask_expr/_collection.py:308: UserWarning
-------------------------------------------------------------------------------------------------------------------- Captured stdout setup --------------------------------------------------------------------------------------------------------------------
Starting a new Thread with MotoServer running on 127.0.0.1:5555...
--------------------------------------------------------------------------------------------------------------------- Captured log setup ----------------------------------------------------------------------------------------------------------------------
INFO aiobotocore.credentials:credentials.py:567 Found credentials in environment variables.
INFO werkzeug:_internal.py:97 127.0.0.1 - - [31/Jan/2025 10:43:08] "GET /test_bucket?list-type=2&max-keys=1&encoding-type=url HTTP/1.1" 404 -
INFO werkzeug:_internal.py:97 127.0.0.1 - - [31/Jan/2025 10:43:08] "GET /test_bucket?location HTTP/1.1" 404 -
INFO werkzeug:_internal.py:97 127.0.0.1 - - [31/Jan/2025 10:43:08] "PUT /test_bucket HTTP/1.1" 200 -
INFO werkzeug:_internal.py:97 127.0.0.1 - - [31/Jan/2025 10:43:08] "GET /test_bucket?list-type=2&max-keys=1&encoding-type=url HTTP/1.1" 200 -
INFO werkzeug:_internal.py:97 127.0.0.1 - - [31/Jan/2025 10:43:08] "GET /test_bucket?list-type=2&max-keys=1&encoding-type=url HTTP/1.1" 200 -
=================================================================================================================== short test summary info ===================================================================================================================
ERROR spatialpandas/tests/test_parquet_s3.py::test_read_parquet_dask_remote[glob_parquet] - UserWarning: Dask annotations {'retries': 5} detected. Annotations will be ignored when using query-planning.
====================================================================================================================== 1 error in 1.91s =======================================================================================================================
I have tested a dev release with HoloViews and Datashader, and both test suites passed. |
@@ -86,6 +81,9 @@ test-unit = 'pytest spatialpandas/tests -n logical --dist loadgroup' | |||
[feature.test-example.dependencies] | |||
nbval = "*" | |||
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[feature.test-example.activation.env] | |||
DASK_SCHEDULER = "single-threaded" |
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'pandas', | ||
'pyarrow >=10', | ||
'pandas >=2.0', | ||
'pyarrow >=14.0.1', |
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These two are part of the minimum dependencies of dask
Resolves #146
Resolves #169
I don't want to support the legacy method, so I'm pinning to 2025.1, the first version with the dask-expr part of the dask library. This version only supports Python 3.10 and forward.
I haven't done any performance benchmarks. This is only to get spatialpandas to work with dask going forward.
reference: https://docs.dask.org/en/stable/dataframe-extend.html