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Posted to github@arrow.apache.org by "conbench-apache-arrow[bot] (via GitHub)" <gi...@apache.org> on 2023/10/06 12:17:10 UTC

Re: [PR] GH-37574: [Python] Compatibility with numpy 2.0 [arrow]

conbench-apache-arrow[bot] commented on PR #38040:
URL: https://github.com/apache/arrow/pull/38040#issuecomment-1750542956

   After merging your PR, Conbench analyzed the 6 benchmarking runs that have been run so far on merge-commit 1eec38d833ca57ad826cea57f85d68532172c88c.
   
   There were 5 benchmark results indicating a performance regression:
   
   - Commit Run on `ursa-i9-9960x` at [2023-10-06 05:02:36Z](https://conbench.ursa.dev/compare/runs/8016d5c3fc3e413ca0e8ab7f7bb52e1c...141651da421049f3b1669d7a3f5a4d88/)
     - [`tpch` (R) with engine=arrow, format=native, language=R, memory_map=False, query_id=TPCH-07, scale_factor=1](https://conbench.ursa.dev/compare/benchmarks/0651f8114b497d0a800064c2516f52f3...0651fad401c47b0c800019d79aa0c361)
     - [`tpch` (R) with engine=arrow, format=parquet, language=R, memory_map=False, query_id=TPCH-07, scale_factor=1](https://conbench.ursa.dev/compare/benchmarks/0651f811f62b7ccb8000cfbedc258f7b...0651fad4fab279098000eed8dccd2985)
   - and 3 more (see the report linked below)
   
   The [full Conbench report](https://github.com/apache/arrow/runs/17464494472) has more details. It also includes information about 6 possible false positives for unstable benchmarks that are known to sometimes produce them.


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