# Ray 2.54.0 — Ray-2.54.0

- Product: Ray (https://whatsnew.fyi/product/ray)
- Vendor: Anyscale
- Date: 2026-02-18
- Version: 2.54.0
- Original notes: https://github.com/ray-project/ray/releases/tag/ray-2.54.0
- Permalink: https://whatsnew.fyi/product/ray/releases/2.54.0

What's New is an index, not a publisher: every entry below links to the vendor's own release notes, which are the authoritative source. Entries are labelled where they are hand-curated sample data, pre-releases, or drawn from a secondary source such as a developer blog.

Reuse: the summaries, labels and curation here are © What's New. Quote freely with attribution and a link back; wholesale republication of the corpus is not permitted — terms: https://whatsnew.fyi/terms. The vendors' own release notes remain their publishers'.

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- **added** — Add checkpointing support to Ray Data
- **added** — Add list operations, fixed-size arrays, string padding, logarithmic, trigonometric, arithmetic, and rounding to Compute Expressions
- **added** — Add sql_params support to read_sql
- **added** — Add AsList aggregation
- **added** — Support CountDistinct aggregate
- **added** — Add credential provider abstraction for Databricks UC datasource
- **added** — Support callable classes for UDFExpr
- **added** — Add autoscaler metrics to Data Dashboard
- **added** — Add optional filesystem parameter to download expression
- **added** — Allow specifying partitioning style or flavor in write_parquet()
- **added** — Enable new cluster autoscaler by default
- **added** — Add Queue-based autoscaling for TaskConsumer deployments with QueueMonitor actor support for Redis and RabbitMQ
- **changed** — Improve numerical stability in scalers by handling near-zero values
- **changed** — Update to PyArrow 23
- **changed** — Demote Sort from requiring preserve_order
- **changed** — Use Arrow IPC for Arrow Schema serialization and deserialization
- **changed** — Enable and tune DownstreamCapacityBackpressurePolicy
- **changed** — Decouple Ray Train from Ray Data by removing top-level ray.data imports
- **changed** — Move extension types to ray.data
- **fixed** — Fuse MapBatches even if they modify the row count
- **removed** — Remove deprecated TENSOR_COLUMN_NAME constant

##### Ray Data

🎉 New Features

- Add checkpointing support to Ray Data (#59409)
- Compute Expressions: list operations (#59346), fixed-size arrays (#58741), string padding (#59552), logarithmic (#59549), trigonometric (#59712), arithmetic (#59678), and rounding (#59295)
- Add `sql_params` support to `read_sql` (#60030)
- Add `AsList` aggregation (#59920)
- Support `CountDistinct` aggregate (#59030)
- Add credential provider abstraction for Databricks UC datasource (#60457)
- Support callable classes for `UDFExpr` (#56725)
- Add autoscaler metrics to Data Dashboard (#60472)
- Add optional filesystem parameter to download expression (#60677)
- Allow specifying partitioning style or flavor in `write_parquet()` (#59102)
- New cluster autoscaler enabled by default (#60474)

💫 Enhancements

- Improve numerical stability in scalers by handling near-zero values (#60488)
- Export dataset operator output schema to event logger (#60086)
- Iceberg: add retry policy for Storage + Catalog writes (#60620)
- Iceberg: remove calls to Catalog Table in write tasks (#60476)
- Expose logical operators and rules via package exports (#60297, #60296)
- Demote Sort from requiring `preserve_order` (#60555)
- Improve appearance of repr(dataset) (#59631)
- Allow configuring `DefaultClusterAutoscalerV2` thresholds via env vars (#60133)
- Use Arrow IPC for Arrow Schema serialization/deserialization (#60195)
- Store _source_paths in object store to prevent excessive spilling during read task serialization (#59999)
- Add more shuffle fusion rules (#59985)
- Enable and tune `DownstreamCapacityBackpressurePolicy` (#59753)
- Enable concurrency cap backpressure with tuning (#59392)
- Set default actor pool scale up threshold to 1.75 (#59512)
- Don't downscale actors if the operator hasn't received any inputs (#59883)
- Don't reserve GPU budget for non-GPU tasks (#59789)
- Only return selected data columns in hive-partitioned Parquet files (#60236)
- Ordered + FIFO bundle queue (#60228)
- Add `node_id`, `pid`, attempt number for hanging tasks (#59793)
- Revise resource allocator task scheduling to factor in pending task outputs (#60639)
- Track block serialization time (#60574)
- Use metrics from `OpRuntimeMetrics` for progress (#60304)
- Tabular form for streaming executor op metrics (#59774)
- Info-log cluster scale-up decisions (#60357)
- Use plain mode instead of grid mode for `OpMetrics` logging (#59907)
- Progress reporting refactors (#59350, #59629, #59880)
- Remove deprecated `TENSOR_COLUMN_NAME` constant (#60573)
- Remove `meta_provider` parameter (#60379)
- Decouple Ray Train from Ray Data by removing top-level `ray.data` imports (#60292)
- Move extension types to ray.data (#59420)
- Skip upscaling validation warning for fixed-size actor pools (#60569)
- Make `StatefulShuffleAggregation.finalize` allow incremental streaming (#59972)
- Revisit `OutputSplitter` semantics to avoid unnecessary buffer accumulation (#60237)
- Update to PyArrow 23 (#60739, #59489)
- Add `BackpressurePolicy` to streaming executor progress bar (#59637)
- Support Arrow-based transformations for preprocessors (#59810)
- `StandardScaler` preprocessor with Arrow format (#59906)
- OneHotEncoder with Arrow format (#59890)

🔨 Fixes

- Fuse `MapBatches` even if they modify the row count (#60756)
- Don't push limit past `map_batches` by default (#60448)
- Fix wrong type hint of other dataset in zip and union (#60653)
- Fix `ActorPoolMapOperator` to guarantee dispatch of all given inputs (#60763)
- Fix `ArrowInvalid` error when backfilling missing fields from map tasks (#60643)
- Fix attribute error in `UnionOperator.clear_internal_output_queue` (#60538)
- Fix `DefaultClusterAutoscalerV2` raising KeyError: 'CPU' (#60208)
- Fix `ReorderingBundleQueue` handling of empty output sequences (#60470)
- Fix task completion time without backpressure grafana panel metric name (#60481)
- Fix Union operator blocking when preserve

_[Truncated at 4000 characters — full notes: https://github.com/ray-project/ray/releases/tag/ray-2.54.0]_