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[C++][Python] Table.join_asof occasionally fails in doctest #49511
Description
Describe the bug, including details regarding any error messages, version, and platform.
AMD64 Conda Python 3.11 Sphinx & Numpydoc job will occasionally fail with the following:
____________________ [doctest] pyarrow.lib.Table.join_asof _____________________
5784 --------
5785 >>> import pyarrow as pa
5786 >>> t1 = pa.table({'id': [1, 3, 2, 3, 3],
5787 ... 'year': [2020, 2021, 2022, 2022, 2023]})
5788 >>> t2 = pa.table({'id': [3, 4],
5789 ... 'year': [2020, 2021],
5790 ... 'n_legs': [5, 100],
5791 ... 'animal': ["Brittle stars", "Centipede"]})
5792
5793 >>> t1.join_asof(t2, on='year', by='id', tolerance=-2)
Differences (unified diff with -expected +actual):
@@ -5,6 +5,6 @@
animal: string
----
-id: [[1,3,2,3,3]]
-year: [[2020,2021,2022,2022,2023]]
-n_legs: [[null,5,null,5,null]]
-animal: [[null,"Brittle stars",null,"Brittle stars",null]]
+id: [[1,3],[2,3,3]]
+year: [[2020,2021],[2022,2022,2023]]
+n_legs: [[null,5],[null,5,null]]
+animal: [[null,"Brittle stars"],[null,"Brittle stars",null]]
/opt/conda/envs/arrow/lib/python3.11/site-packages/pyarrow/lib.cpython-311-x86_64-linux-gnu.so:5793: DocTestFailure
__________________ [doctest] pyarrow.lib.default_memory_pool ___________________
147 default_memory_pool()
148
149 Return the process-global memory pool.
150
151 Examples
152 --------
153 >>> default_memory_pool()
Expected:
<pyarrow.MemoryPool backend_name=... bytes_allocated=0 max_memory=...>
Got:
<pyarrow.MemoryPool backend_name=mimalloc bytes_allocated=448 max_memory=2138560>
/opt/conda/envs/arrow/lib/python3.11/site-packages/pyarrow/lib.cpython-311-x86_64-linux-gnu.so:153: DocTestFailureComponent(s)
C++, Python
Activity
rok commentedon Mar 13, 2026
@icexelloss any idea why this would happen?
icexelloss commentedon Mar 13, 2026
Hi Rok,
I don’t why this happens but doesn’t look like an actual failure. Looks like the test condition is just too strict, it should ignore different batch slicing when comparing result.
rok commentedon Mar 13, 2026
Oh, I was expecting the output would be a concated table. That makes a lot of sense, we should fix the test, thanks!
tadeja commentedon Jul 9, 2026
A more recent test failure in CI job AMD64 Conda Python 3.11 Sphinx & Numpydoc
Details
=================================== FAILURES =================================== ____________________ [doctest] pyarrow.lib.Table.join_asof _____________________ 5860 -------- 5861 >>> import pyarrow as pa 5862 >>> t1 = pa.table({'id': [1, 3, 2, 3, 3], 5863 ... 'year': [2020, 2021, 2022, 2022, 2023]}) 5864 >>> t2 = pa.table({'id': [3, 4], 5865 ... 'year': [2020, 2021], 5866 ... 'n_legs': [5, 100], 5867 ... 'animal': ["Brittle stars", "Centipede"]}) 5868 5869 >>> t1.join_asof(t2, on='year', by='id', tolerance=-2) Differences (unified diff with -expected +actual): @@ -5,6 +5,6 @@ animal: string ---- -id: [[1,3,2,3,3]] -year: [[2020,2021,2022,2022,2023]] -n_legs: [[null,5,null,5,null]] -animal: [[null,"Brittle stars",null,"Brittle stars",null]] +id: [[1,3],[2,3,3]] +year: [[2020,2021],[2022,2022,2023]] +n_legs: [[null,5],[null,5,null]] +animal: [[null,"Brittle stars"],[null,"Brittle stars",null]] /opt/conda/envs/arrow/lib/python3.11/site-packages/pyarrow/lib.cpython-311-x86_64-linux-gnu.so:5869: DocTestFailure __________________ [doctest] pyarrow.lib.default_memory_pool ___________________ 147 default_memory_pool() 148 149 Return the process-global memory pool. 150 151 Examples 152 -------- 153 >>> default_memory_pool() Expected: <pyarrow.MemoryPool backend_name=... bytes_allocated=0 max_memory=...> Got: <pyarrow.MemoryPool backend_name=mimalloc bytes_allocated=448 max_memory=2138688> /opt/conda/envs/arrow/lib/python3.11/site-packages/pyarrow/lib.cpython-311-x86_64-linux-gnu.so:153: DocTestFailureGH-49511: Fix rare doctest Table.join_asof and default_memory_pool fa…
rok commentedon Jul 9, 2026
Issue resolved by pull request 50446
#50446