Title: Bump ray from 2.54.0 to 2.55.0 by dependabot[bot] · Pull Request #8 · readerbench/ReaderBenchAPI · GitHub
Open Graph Title: Bump ray from 2.54.0 to 2.55.0 by dependabot[bot] · Pull Request #8 · readerbench/ReaderBenchAPI
X Title: Bump ray from 2.54.0 to 2.55.0 by dependabot[bot] · Pull Request #8 · readerbench/ReaderBenchAPI
Description: Bumps ray from 2.54.0 to 2.55.0.
Release notes
Sourced from ray's releases.
Ray-2.55.0
Ray Data
🎉 New Features
Add DataSourceV2 API with scanner/reader framework, file listing, and file partitioning (#61220, #61615, #61997)
Support GPU shuffle with rapidsmpf 26.2 (#61371, #62062)
Add Kafka datasink, migrate to confluent-kafka, support datetime offsets (#60307, #61284, #60909)
Add Turbopuffer datasink (#58910)
Add 2-phase commit checkpointing with trie recovery and load method (#61821, #60951)
Queue-based autoscaling policy integrated with task consumers (#59548, #60851)
Enable autoscaling for GPU stages (#61130)
Expressions: add random(), uuid(), cast, and map namespace support (#59656, #60695, #59879)
Add support for Arrow native fixed-shape tensor type (#56284)
Support writing tensors to tfrecords (#60859)
Add pathlib.Path support to read_* functions (#61126)
Add cudf as a batch_format (#61329)
Allow ActorPoolStrategy for read_datasource() via compute parameter (#59633)
Introduce ExecutionCache for streamlined caching (#60996)
Support strict=False mode for StreamingRepartition (#60295)
Port changes from lance-ray into Ray Data (#60497)
Enable PyArrow compute-to-expression conversion for predicate pushdown (#61617)
Add vLLM metrics export and Data LLM Grafana dashboard (#60385)
Include logical memory in resource manager scheduling decisions (#60774)
Add monotonically increasing ID support (#59290)
💫 Enhancements
Performance: cache _map_task args, heap-based actor ranking, actor pool map improvements (#61996, #62114, #61591)
Optimize concat tables and PyArrow schema hashing (#61315, #62108)
Reduce default DownstreamCapacityBackpressurePolicy threshold to 50% (#61890)
Improve reproducibility for random APIs (#59662)
Clamp batch size to fall within C++ 32-bit int range (#62242)
Account for external consumer object store usage in resource manager budget (#62117)
Make get_parquet_dataset configurable in number of fragments to scan (#61670)
Consolidate schema inference and make all preprocessors implement SerializablePreprocessorBase (#61213, #61341)
Disable hanging issue detection by default (#62405)
Make execution callback dataflow explicit to prevent state leakage (#61405)
Log DataContext in JSON format at execution start for traceability (#61150, #61428)
Autoscaler: configurable traceback, Prometheus gauges, relaxed constraints (#62210, #62209, #61917, #61385)
Add metrics for task scheduling time, output backpressure, and logical memory (#61192, #61007, #61436)
Prevent operators from dominating entire shared object store budget (#61605)
Eliminate generators to avoid intermediate state pinning (#60598)
Default log encoding to UTF-8 on Windows (#61143)
Remove legacy BlockList, locality_with_output, old callback API, PyArrow 9.0 checks (#60575, #61044, #62055, #61483)
Upgrade to pyiceberg 0.11.0; cap pandas to <3 (#61062, #60406)
Refactor logical operators to frozen dataclasses (#61059, #61308, #61348, #61349, #61351, #61364, #61481)
Prevent aggregator head node scheduling (#61288)
Add error for local:// paths with a zero-resource head node (#60709)
🔨 Fixes
... (truncated)
Commits
58af3fc Cherry picking to 2.55 (#62517)
2ecf83a cherrypick part of #62485 (#62520)
3c9dfdf [train] Cherrypick validation resumption deflake (#62448)
6fcc3f4 [core] Cherry-pick: Deflake test_dashboard_port_conflict (#62413)
5092068 windows base build fix: install together (#62415)
2324595 [data] Disable hanging issue detection by default 2.55 (#62405)
bc588f5 [Serve][Bugfix] Fix Serve autoscaling delay to use wall-clock time (#… (#62331)
81122e7 2.55.0 version change (#62307)
4127cd6 [core] Disable test_torch_tensor_dag_gpu cgraph test (#62303)
0d06134 [Train] Add HF TRL (Transformer Reinforcement Learning) example (#61627)
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Open Graph Description: Bumps ray from 2.54.0 to 2.55.0. Release notes Sourced from ray's releases. Ray-2.55.0 Ray Data 🎉 New Features Add DataSourceV2 API with scanner/reader framework, file listing, and file part...
X Description: Bumps ray from 2.54.0 to 2.55.0. Release notes Sourced from ray's releases. Ray-2.55.0 Ray Data 🎉 New Features Add DataSourceV2 API with scanner/reader framework, file listing, and file ...
Opengraph URL: https://github.com/readerbench/ReaderBenchAPI/pull/8
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