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Bump ray[default] from 2.7.1 to 2.9.0 #52

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merged 3 commits into from
Jan 8, 2024

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@dependabot dependabot bot commented on behalf of github Dec 21, 2023

Bumps ray[default] from 2.7.1 to 2.9.0.

Release notes

Sourced from ray[default]'s releases.

Ray-2.9.0

Release Highlights

  • This release contains fixes for the Ray Dashboard. Additional context can be found here: https://www.anyscale.com/blog/update-on-ray-cves-cve-2023-6019-cve-2023-6020-cve-2023-6021-cve-2023-48022-cve-2023-48023 
  • Ray Train has now upgraded support for spot node preemption -- allowing Ray Train to handle preemption node failures differently than application errors.
  • Ray is now compatible with Pydantic versions =2.5.0, addressing a piece of user feedback we’ve consistently received.
  • The Ray Dashboard now has a page for Ray Data to monitor real-time execution metrics.
  • Streaming generator is now officially a public API (#41436, #38784). Streaming generator allows writing streaming applications easily on top of Ray via Python generator API and has been used for Ray Serve and Ray data for several releases. See the documentation for details. 
  • We’ve added experimental support for new accelerators: Intel GPU (#38553), Intel Gaudi Accelerators (#40561), and Huawei Ascend NPU (#41256).

Ray Libraries

Ray Data

🎉 New Features:

💫 Enhancements:

  • Optimize OpState.outqueue_num_blocks (#41748)
  • Improve stall detection for StreamingOutputsBackpressurePolicy (#41637)
  • Enable read-only Datasets to be executed on new execution backend (#41466, #41597)
  • Inherit block size from downstream ops (#41019)
  • Use runtime object memory for scheduling (#41383)
  • Add retries to file writes (#41263)
  • Make range datasource streaming (#41302)
  • Test core performance metrics (#40757)
  • Allow ConcurrencyCapBackpressurePolicy._cap_multiplier to be set to 1.0 (#41222)
  • Create StatsManager to manage _StatsActor remote calls (#40913)
  • Expose max_retry_cnt parameter for BigQuery Write (#41163)
  • Add rows outputted to data metrics (#40280)
  • Add fault tolerance to remote tasks (#41084)
  • Add operator-level dropdown to ray data overview (#40981)
  • Avoid slicing too-small blocks (#40840)
  • Ray Data jobs detail table (#40756)
  • Update default shuffle block size to 1GB (#40839)
  • Log progress bar to data logs (#40814)
  • Operator level metrics (#40805)

🔨 Fixes:

  • Partial fix for Dataset.context not being sealed after creation (#41569)
  • Fix the issue that DataContext is not propagated when using streaming_split (#41473)
  • Fix Parquet partition filter bug (#40947)
  • Fix split read output blocks (#41070)
  • Fix BigQueryDatasource fault tolerance bugs (#40986)

... (truncated)

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Bumps [ray[default]](https://github.com/ray-project/ray) from 2.7.1 to 2.9.0.
- [Release notes](https://github.com/ray-project/ray/releases)
- [Commits](ray-project/ray@ray-2.7.1...ray-2.9.0)

---
updated-dependencies:
- dependency-name: ray[default]
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot requested a review from kellyaa as a code owner December 21, 2023 17:33
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Dec 21, 2023
pyproject.toml Outdated Show resolved Hide resolved
@kellyaa kellyaa merged commit 0eb5503 into main Jan 8, 2024
3 of 4 checks passed
@dependabot dependabot bot deleted the dependabot/pip/ray-default--2.9.0 branch January 8, 2024 16:05
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