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CHANGELOG.md

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Changelog Polars (Rust crate)

The Python bindings of polars have their own changelog.

Polars 0.15.0

  • feature
    • extract jsonpath
    • more object support
  • performance
    • improve list take performance
  • bug fix
    • don't panic in out of bounds take, but error
    • update offsets in case of utf8lossy
  • breaking
    • take returns error
    • parsers take W: Write instead of &mut W

Polars 0.14.8

  • feature
    • concat_str function
    • more object support
    • hash and row_hash function/ expr
    • reinterpret function/ expr
    • Series.mode expr/function
    • csv file decompression
    • read_sql support
  • performance
    • divide and conquer binary expressions

Polars 0.14.7

  • feature
    • cross join added
    • dot-product
  • performance
    • improve csv-parser performance by ~25%
  • bug fix
    • fix ub of alignedvec dealloc
    • various minor

Polars 0.14.6

  • feature
    • is_first expr/method
    • asof join added
    • resolve ~ to homedir
  • performance
    • use fast csv-parser for more input types
  • bug fix
    • kleene or and and operations
    • maybe fix rayon deadlock
    • string addition lhs broadcast

Polars 0.14.5

  • feature
    • csv-parser option to ignore comment lines
  • performance
    • improve take on DataFrame
    • remove bound checks in buffer creation
    • improve performance of sorting by multiple columns
    • improve argsort performance
  • bug fix
    • fix backward/forward fill
    • window groupby context

Polars v0.13

  • performance

    • Vast reduction of compile times by making compilation dtypes of Series opt-in.
    • Fast multi-threaded csv parser. Fixes multiple gripes of old parser.

  • features

    • Series / ChunkedArray implementations
      • Series::week
      • Series::weekday
      • Series::arg_min
      • Series::arg_max

  • breaking

    • ChunkedArray::arg_unique return UInt32Chunked instead of Vec

  • bug fixes

    • various

Polars v0.12

  • Lot's of bug fixes

Polars v0.10 / v0.11

  • CSV Read IO

    • Parallel csv reader

  • Sample DataFrames/ Series

  • Performance increase in take kernel

  • Performance increase in ChunkedArray builders

  • Join operation on multiple columns.

  • ~3.5 x performance increase in groupby operations (measured on db-benchmark), due to embarrassingly parallel grouping and better branch prediction (tight loops).

  • Performance increase on join operation due to better branch prediction.

  • Categorical datatype and global string cache (BETA).

  • Lazy

    • Lot's of bug fixes in optimizer.
    • Parallel execution of Physical plan
    • Partition window function
    • More simplify expression optimizations.
    • Caching
    • Alpha release of Aggregate pushdown optimization.

  • Start of general Object type in ChunkedArray/DataFrames/Series