polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- `sink_batches` memory grows with the input length when the plan computes a column and the callback unpivots the batches
- `slice` does not pushdown `n_rows` into IO plugins.
- Invert pure maps during filter pushdown
- perf: Admit parked cloud reads in issue order
- docs: Rewrite query profiling page and add it to the user guide landing page
- fix: Attribute a cache's multiplexer to the `Cache` IR node
- Cost-aware CPU/GPU subplan execution within a single LazyFrame query
- `pl.col("list").str.split("~")` isn't flag as InvalidOperationError at `collect_schema`
- Merging list columns in `group_by().agg()` is ~7x slower than a join/split workaround
- perf: `is_in` with more than 100 values does not skip Parquet row groups between the values
- Docs
- Rust not yet supported