polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Incorrect Plan Optimization for `pl.LazyFrame` with `group_by`, `shift` and `filter`
- What is the `Map` datatype for?
- perf: Start writeback per row group instead of at file close
- Wrapping a PyCapsule-interface Arrow array with an extension type backed by Dictionary-typed storage fails with `ComputeError("Dictionary Array must contain a dictionary in ffi")`
- perf: Optimize `rolling_min` and `rolling_max` with a van Herk block scan
- Stale path on ObjectStore error
- Predicate pushdown into `scan_parquet` evaluates the predicate on truncated string/binary column statistics and fails
- DuplicateError when a LazyFrame from `scan_parquet` is reused after a query that joined it with its own `with_row_index`
- `strptime` with `strict=False` still raise error when format is inferred from the data
- Installing polars-cloud silently switches the index type to UInt64 because polars-runtime-64 takes precedence
- Docs
- Rust not yet supported