polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- feat(python): Add `create_namespace_if_not_exists` to `sink_iceberg`
- `scan_delta`: table opened several times when a scan is reused across plan branches (regression in 1.43)
- feat(python): Support sinking to Iceberg table with bucket partitioned field
- feat: Support OOC kill fraction
- fix: Fix panic in group-by `map_batches` on object-backed extension types
- read_parquet(use_pyarrow=True) cannot read a remote directory or a list of remote files
- Parquet writer merges UInt64/UInt32 page statistics with a signed comparison (row-group min > max), so `scan_parquet` filters drop matching rows
- Hive partition value `k=` of a Categorical/Enum key is read back as null instead of "" (String keys were fixed in #24546)
- Partitioning by a `Time` column drops fractional seconds from the directory name; keys that differ below one second overwrite each other and rows are lost
- perf: Copy a top-k below left, right and cross joins
- Docs
- Rust not yet supported