Bump polars from 0.35.4 to 0.38.0

Open dependabot[bot] opened this issue 1 year ago • 0 comments

Bumps polars from 0.35.4 to 0.38.0.

Release notes

Rust Polars 0.38.0

🏆 Highlights

fast path for COUNT(*) queries (#14574)

Implemented tree formatting for LogicalPlan (#14221)

💥 Breaking changes

Infer values columns in DataFrame.pivot when values is None (#14477)

Mark DataFrame::new_no_checks and DataFrame::new_no_length_checks unsafe (#14443)

Remove DatetimeChunked::convert_time_zone (#14046)

Rename LiteralValue::to_anyvalue to LiteralValue::to_any_value (#14033)

🚀 Performance improvements

auto-tune concurrency budget (#14753)

Don't materialize for broadcasting fill_null value and default value of replace (#14736)

Improve performance of boolean filters 1-100x. (#14746)

fix accidental quadratic utf8 validation in parquet (#14705)

fast path for COUNT(*) queries (#14574)

Elide the total order wrapper for non-(float/option) types (#14648)

add utf8-validation fast paths for utf8view (#14644)

don't reassign chunks back to df owner (#14633)

If there are many small chunks in write_parquet(), convert to a single chunk (#14484) (#14487)

Polars thread pool was not used properly in various functions (#14583)

use owned arithmetic in horizontal_sum (#14525)

Combine small chunks in sinks for streaming pipelines (#14346)

reduce heap allocs in expression/logical-plan iteration (#14440)

simplify and speed up cum_sum and cum_prod (#14409)

simplify negated predicates to improve row groups skipping (#14370)

prune parquet row groups when is_not_null is used (#14260)

use is_between to skip parquet row groups (#14244)

Use a compression API that is designed for this use case (#11699) (#14194)

Use UnitVec in polars-plan traversal (#14199)

use UnitVec in streaming joins (#14197)

improve ChunkId (#14175)

improve iteration performance (#14126)

elide unneeded work in window? (#14108)

run window functions more in parallel (#14095)

improve skip row group using statistics condition (#14056)

✨ Enhancements

Change default for maximum number of Series items printed to 10 to match DataFrame (#14703)

Infer values columns in DataFrame.pivot when values is None (#14477)

fast path for COUNT(*) queries (#14574)

let rolling accept index_column of type UInt32 or UInt64 (#14669)

Treat float -0.0 == 0.0 and -NaN == NaN in group-by, joins and unique (#14617)

Properly cache object-stores (#14598)

Mark DataFrame::new_no_checks and DataFrame::new_no_length_checks unsafe (#14443)

... (truncated)

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Mar 04 '24 01:03 dependabot[bot]