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rapidsai / cudf

cuDF - GPU DataFrame Library
https://docs.rapids.ai/api/cudf/stable/
Apache License 2.0
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[BUG] dask_cudf.concat(args, ignore_index=True) fails when indices are different type #11741

Closed eriknw closed 2 years ago

eriknw commented 2 years ago

Describe the bug

dask_cudf.concat(args, ignore_index=True) raises when indices are different dtype, so the indices are not in fact ignored.

Steps/Code to reproduce bug

import numpy as np
import cudf
import dask_cudf

s1 = cudf.Series(index=np.arange(4, dtype=np.int32))
s2 = cudf.Series(index=np.arange(4, dtype=np.int64))

cudf.concat([s1, s2], ignore_index=True)  # works as expected

ds1 = dask_cudf.from_cudf(s1, npartitions=2)
ds2 = dask_cudf.from_cudf(s2, npartitions=2)

dask_cudf.concat([ds1, ds2], ignore_index=True).compute()  # RAISES
Traceback ```python-traceback --------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In [9], line 1 ----> 1 dask_cudf.concat([ds1, ds2], ignore_index=True).compute() File ~/miniconda3/envs/cugraph_dev13/lib/python3.9/site-packages/dask/base.py:315, in DaskMethodsMixin.compute(self, **kwargs) 291 def compute(self, **kwargs): 292 """Compute this dask collection 293 294 This turns a lazy Dask collection into its in-memory equivalent. (...) 313 dask.base.compute 314 """ --> 315 (result,) = compute(self, traverse=False, **kwargs) 316 return result File ~/miniconda3/envs/cugraph_dev13/lib/python3.9/site-packages/dask/base.py:601, in compute(traverse, optimize_graph, scheduler, get, *args, **kwargs) 598 postcomputes.append(x.__dask_postcompute__()) 600 results = schedule(dsk, keys, **kwargs) --> 601 return repack([f(r, *a) for r, (f, a) in zip(results, postcomputes)]) File ~/miniconda3/envs/cugraph_dev13/lib/python3.9/site-packages/dask/base.py:601, in (.0) 598 postcomputes.append(x.__dask_postcompute__()) 600 results = schedule(dsk, keys, **kwargs) --> 601 return repack([f(r, *a) for r, (f, a) in zip(results, postcomputes)]) File ~/miniconda3/envs/cugraph_dev13/lib/python3.9/site-packages/dask/dataframe/core.py:143, in finalize(results) 142 def finalize(results): --> 143 return _concat(results) File ~/miniconda3/envs/cugraph_dev13/lib/python3.9/site-packages/dask/dataframe/core.py:138, in _concat(args, ignore_index) 130 # We filter out empty partitions here because pandas frequently has 131 # inconsistent dtypes in results between empty and non-empty frames. 132 # Ideally this would be handled locally for each operation, but in practice 133 # this seems easier. TODO: don't do this. 134 args2 = [i for i in args if len(i)] 135 return ( 136 args[0] 137 if not args2 --> 138 else methods.concat(args2, uniform=True, ignore_index=ignore_index) 139 ) File ~/miniconda3/envs/cugraph_dev13/lib/python3.9/site-packages/dask/dataframe/dispatch.py:62, in concat(dfs, axis, join, uniform, filter_warning, ignore_index, **kwargs) 60 else: 61 func = concat_dispatch.dispatch(type(dfs[0])) ---> 62 return func( 63 dfs, 64 axis=axis, 65 join=join, 66 uniform=uniform, 67 filter_warning=filter_warning, 68 ignore_index=ignore_index, 69 **kwargs, 70 ) File ~/miniconda3/envs/cugraph_dev13/lib/python3.9/contextlib.py:79, in ContextDecorator.__call__..inner(*args, **kwds) 76 @wraps(func) 77 def inner(*args, **kwds): 78 with self._recreate_cm(): ---> 79 return func(*args, **kwds) File ~/miniconda3/envs/cugraph_dev13/lib/python3.9/site-packages/dask_cudf/backends.py:275, in concat_cudf(dfs, axis, join, uniform, filter_warning, sort, ignore_index, **kwargs) 270 if ignore_order: 271 raise NotImplementedError( 272 "ignore_order parameter is not yet supported in dask-cudf" 273 ) --> 275 return cudf.concat(dfs, axis=axis, ignore_index=ignore_index) File ~/miniconda3/envs/cugraph_dev13/lib/python3.9/site-packages/cudf/core/reshape.py:416, in concat(objs, axis, join, ignore_index, sort) 414 return objs[0] 415 else: --> 416 return cudf.Series._concat( 417 objs, axis=axis, index=None if ignore_index else True 418 ) 419 elif typ is cudf.MultiIndex: 420 return cudf.MultiIndex._concat(objs) File ~/miniconda3/envs/cugraph_dev13/lib/python3.9/contextlib.py:79, in ContextDecorator.__call__..inner(*args, **kwds) 76 @wraps(func) 77 def inner(*args, **kwds): 78 with self._recreate_cm(): ---> 79 return func(*args, **kwds) File ~/miniconda3/envs/cugraph_dev13/lib/python3.9/site-packages/cudf/core/series.py:1356, in Series._concat(cls, objs, axis, index) 1354 index = cudf.MultiIndex._concat([o.index for o in objs]) 1355 else: -> 1356 index = cudf.core.index.GenericIndex._concat( 1357 [o.index for o in objs] 1358 ) 1360 names = {obj.name for obj in objs} 1361 if len(names) == 1: File ~/miniconda3/envs/cugraph_dev13/lib/python3.9/contextlib.py:79, in ContextDecorator.__call__..inner(*args, **kwds) 76 @wraps(func) 77 def inner(*args, **kwds): 78 with self._recreate_cm(): ---> 79 return func(*args, **kwds) File ~/miniconda3/envs/cugraph_dev13/lib/python3.9/site-packages/cudf/core/index.py:1000, in GenericIndex._concat(cls, objs) 998 result = _concat_range_index(objs) 999 else: -> 1000 data = concat_columns([o._values for o in objs]) 1001 result = as_index(data) 1003 names = {obj.name for obj in objs} File ~/miniconda3/envs/cugraph_dev13/lib/python3.9/site-packages/cudf/core/column/column.py:2398, in concat_columns(objs) 2394 objs[i] = column_empty_like( 2395 head, dtype=head.dtype, masked=True, newsize=len(obj) 2396 ) 2397 else: -> 2398 raise ValueError("All columns must be the same type") 2400 # TODO: This logic should be generalized to a dispatch to 2401 # ColumnBase._concat so that all subclasses can override necessary 2402 # behavior. However, at the moment it's not clear what that API should look 2403 # like, so CategoricalColumn simply implements a minimal working API. 2404 if all(is_categorical_dtype(o.dtype) for o in objs): ValueError: All columns must be the same type ```

Expected behavior To not raise and give the same result as cudf

Environment overview (please complete the following information)

Environment details

Click here to see environment details

     **git***
     commit 02d5e83592619e55fd297515e814cbdbfdf9c205 (HEAD -> branch-22.10, origin/branch-22.10, origin/HEAD)
     Author: Ralf Gommers 
     Date:   Wed Sep 21 15:50:25 2022 +0200

     Add a `__dataframe__` method to the protocol dataframe object (#11692)

     This will align the implementation with those in other libraries, xref https://github.com/data-apis/dataframe-api/issues/80.

     Cc @shwina

     Authors:
     - Ralf Gommers (https://github.com/rgommers)

     Approvers:
     - Ashwin Srinath (https://github.com/shwina)

     URL: https://github.com/rapidsai/cudf/pull/11692
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     |                               |                      |                  N/A |
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     | N/A   32C    P0    42W / 300W |      0MiB / 32768MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   7  Tesla V100-SXM2...  On   | 00000000:8A:00.0 Off |                    0 |
     | N/A   28C    P0    40W / 300W |      0MiB / 32768MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+

     +-----------------------------------------------------------------------------+
     | Processes:                                                                  |
     |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
     |        ID   ID                                                   Usage      |
     |=============================================================================|
     |  No running processes found                                                 |
     +-----------------------------------------------------------------------------+

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     ***CMake***
     /home/nfs/erwelch/miniconda3/envs/cugraph_dev13/bin/cmake
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     ***nvcc***
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     nvcc: NVIDIA (R) Cuda compiler driver
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     Cuda compilation tools, release 11.5, V11.5.119
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     /home/nfs/erwelch/miniconda3/envs/cugraph_dev13/bin/python
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     ***conda packages***
     /home/nfs/erwelch/miniconda3/condabin/conda
     # packages in environment at /home/nfs/erwelch/miniconda3/envs/cugraph_dev13:
     #
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Additional context This actually happens from within the finalize method of dask.dataframe.

wence- commented 2 years ago

This is a bug in dask, rather than dask_cudf. The finalize method of dask.dataframe.Series doesn't know anything about the keyword arguments passed to concat:

import pandas as pd
import dask.dataframe as dd

s = pd.Series([1,2,3], index=pd.RangeIndex(4, 7))
ds = dd.from_pandas(s, npartitions=1)
assert (s.index == ds.compute().index).all()

cs = pd.concat([s], ignore_index=True)
dcs = dd.concat([ds], ignore_index=True)
assert (cs.index == dcs.compute().index).all() => AssertionError
eriknw commented 2 years ago

Dask doesn't purport to support concat with ignore_index=True. dask_cudf does. See: https://github.com/dask/dask/issues/8353

wence- commented 2 years ago

dask_cudf does [claim to support ignore_index=True]

Where do you see this? The definition of concat in dask_cudf is just concat = dask.dataframe.concat.

[I'm not arguing that this shouldn't be supported, btw]

eriknw commented 2 years ago

That is a great question. I... don't recall why I thought that. Maybe stepping through pdb twists the brain?

In other news, this now works for me (and is a sufficient workaround):

dask_cudf.concat([ds1.reset_index(drop=True), ds2.reset_index(drop=True)]).compute()

Previously, the index dtype would remain the same (such as int32) after reset_index. Now the index dtype changes to int64. Either that, or I was seeing things earlier.

I'm now content with my workaround; happy to close this issue.

wence- commented 2 years ago

That is a great question. I... don't recall why I thought that. Maybe stepping through pdb twists the brain?

:). Will close, but watch the dask side issue, which if fixed would fix this too.