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Posted to github@arrow.apache.org by GitBox <gi...@apache.org> on 2021/10/04 19:22:14 UTC

[GitHub] [arrow] jonkeane commented on pull request #11277: ARROW-14020: [R] Writing datafames with list columns is slow and scales poorly with nesting level

jonkeane commented on pull request #11277:
URL: https://github.com/apache/arrow/pull/11277#issuecomment-933783636


   I benchmarked this a while ago (and none of the operative code has changed since then):
   
   > [Finished ⬇️0.67% ⬆️0.67%] ursa-i9-9960x
   
   The one regression is a false positive (in fact, it's in a Python benchmark!). [The simple features benchmark has improved 99%](https://conbench.ursa.dev/compare/benchmarks/acfa1ae5902d4a17ba124962cb252131...6540baeb176d426d894a73f41e9e428e/) this is actually cheating a bit because before it would serialize a bunch of metadata and now it skips it totally. We don't otherwise have a benchmark that touches this code (we could write one that includes a list column with no metadata, but I'm not certain we need that at this point) — I did test this manually with the code in the Jira and this case is, indeed, much faster.


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