sink_parquet

This release introduces several performance improvements, new features like Iceberg schema evolution and correlated subqueries, and numerous bug fixes. It also deprecates the `rechunk` parameter and related functions.

This release introduces significant performance improvements across various operations, including pushdown optimizations, enhanced join strategies, and more efficient memory handling. It also brings a host of new features like `struct.drop()`, improved CSV scanning, and experimental out-of-core spilling, alongside numerous bug fixes for enhanced stability and correctness.

This release introduces streaming support for grouped AsOf joins and numerous performance optimizations across the engine, particularly in streaming operations. Several bugs related to joins, aggregations, and data reading have been fixed, and support for the dataframe interchange protocol has been deprecated.

This release focuses heavily on performance improvements across the streaming engine, I/O operations (CSV, NDJSON, Parquet), and various expression evaluations. Numerous bugs related to type handling, panics in streaming operations, and SQL compatibility have also been addressed.

This release focuses heavily on performance improvements across various operations, especially in streaming contexts, and introduces significant enhancements to SQL support and data type handling, including new Extension types.

This release focuses heavily on performance improvements across streaming, I/O, and core computations, alongside numerous bug fixes for stability and correctness. A key change is the deprecation of the `retries` argument in favor of using `storage_options`.

This release focuses heavily on performance improvements, particularly in the new streaming engine, and introduces several enhancements like lossy decoding for CSVs and DataFrame.write_iceberg. Numerous bug fixes address stability issues across various operations including rolling statistics and sink phases.