polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- 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
- feat: Add `cum_n_unique` expression
- Installing polars-cloud silently switches the index type to UInt64 because polars-runtime-64 takes precedence
- pl.merge_sorted into sorted-group-by doesn't preserve sortedness on streaming engine
- Confusing error message when reading hive partitioned dataset with bad partitions
- fix(python): Keep deduplicated names unique when the suffix is already taken
- Parquet metadata pruning is disabled for scans with a column mapping (Iceberg)
- key columns in `group_by(a).having()` should be referable as scalars
- Docs
- Rust not yet supported