Andrew Duffy

Just chiming in, I'm also hitting this issue in the context of trying to store the tonic client inside of my own struct. ``` pub struct SchemaClient { inner: SchemaServiceClient...

We also bumped into this, it appears to be fixed since the merge in upstream Spark by using `ArrayList` instead of `Array` https://github.com/apache/spark/commit/96030876383822645a5b35698ee407a8d4eb76af#diff-01fea32e6ec6bcf6f34d06282e08705aR103

Also seeing this, here is an example failed GH Action run in case helpful https://github.com/IntrinsicLabsAI/intrinsic-model-server/actions/runs/6868629622/job/18679613918

Bumping my Python patch release from 3.11.4 -> 3.11.5 fixed the issue for me. It looks like Poetry may have fixed this via a (as yet unreleased) backport: https://github.com/python-poetry/poetry/pull/8649/files So,...

Hey! Just curious, are there any plans to add the filters to the C API? I have a file format (implemented in Rust) that I'd like to write an extension...

 Ran the compress_taxi benchmark, got ~80% slower. I am a bit surprised that the biggest culprit seems to be creating new counters in the FSST training loop. That doesn't...

Alright, using the change in https://github.com/spiraldb/fsst/pull/21 helped a lot. New benchmark result: ``` end to end - taxi/compress time: [100.73 ms 101.72 ms 102.96 ms] change: [-45.073% -43.470% -42.057%] (p...

And I think we can go even lower, ideally we'd just use the trained compressor over the samples to compress the full array

Ok I've done a few things today 1. Introduced a way to reuse compressors in our samplingcompressor code 2. Keep tweaking some things on the FSST side, including matching how...

Ok I added a new benchmark now which just compresses the comments column in-memory via Vortex, and i'm seeing it take ~500ms, which is roughly 2-3x longer than just doing...