# Ray 2.30.0 — Ray-2.30.0

- Product: Ray (https://whatsnew.fyi/product/ray)
- Vendor: Anyscale
- Date: 2024-06-20
- Version: 2.30.0
- Original notes: https://github.com/ray-project/ray/releases/tag/ray-2.30.0
- Permalink: https://whatsnew.fyi/product/ray/releases/2.30.0

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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- **changed** — Improve fractional CPU/GPU formatting
- **changed** — Use sampled fragments to estimate Parquet reader batch size
- **changed** — Refactor ParquetDatasource and metadata fetching logic
- **changed** — Refactor planner.py
- **changed** — Change the behavior of a missing stopping criterion metric to warn instead of raising an error
- **added** — Create internal request id to track request objects
- **changed** — Enhance env-rendering callback
- **fixed** — Fix EMA stats without window that would lead to infinite list memory leak in MetricsLogger API
- **added** — Alpha release of job level logging configuration allowing users to configure user logging in logfmt format with logging context
- **changed** — Integrate amdsmi in AMDAcceleratorManager
- **fixed** — Fix the C++ GcsClient Del not respecting del_by_prefix
- **fixed** — Fix exit handling of FiberState threads
- **changed** — Parse out json logs in Dashboard

#### Ray Libraries<a id="ray-libraries"></a>

##### Ray Data<a id="ray-data"></a>

💫 Enhancements:
- Improve fractional CPU/GPU formatting (#45673)
- Use sampled fragments to estimate Parquet reader batch size (#45749)
- Refactoring ParquetDatasource and metadata fetching logic (#45728, #45727, #45733, #45734, #45767)
- Refactor planner.py (#45706)


##### Ray Tune<a id="ray-tune"></a>
💫 Enhancements:
- Change the behavior of a missing stopping criterion metric to warn instead of raising an error. This enables the use case of reporting different sets of metrics on different iterations (ex: a separate set of training and validation metrics). ([#45613](https://github.com/ray-project/ray/pull/45613))

##### Ray Serve<a id="ray-serve"></a>

💫 Enhancements:
- Create internal request id to track request objects ([#45761](https://github.com/ray-project/ray/pull/45761))

##### RLLib<a id="rllib"></a>

💫 Enhancements:
- Stability: [DreamerV3 weekly release test](https://github.com/ray-project/ray/commit/4adb78b2bf3c968f88f72ae9064189b846833230) ([#45654](https://github.com/ray-project/ray/pull/45654)); [Add "official" benchmark script for Atari PPO benchmarks](https://github.com/ray-project/ray/commit/d49f15b1112e67d15a80d696249f587ea7b95b57). ([#45697](https://github.com/ray-project/ray/pull/45697))
- Enhance env-rendering callback (#45682)

🔨 Fixes:
- Bug fix in new MetricsLogger API: [EMA stats w/o window would lead to infinite l](https://github.com/ray-project/ray/commit/cbb1634a23ff4b59090f43dd853cf437e19fc0c8)ist mem-leak. ([#45752](https://github.com/ray-project/ray/pull/45752))
- Various other bug fixes: ([#45819](https://github.com/ray-project/ray/pull/45819), [#45820](https://github.com/ray-project/ray/pull/45820), #[45683](https://github.com/ray-project/ray/pull/45683), [#45651](https://github.com/ray-project/ray/pull/45651), [#45753](https://github.com/ray-project/ray/pull/45753))

📖 Documentation:
- Re-do `examples` overview page (new API stack): [#45382](https://github.com/ray-project/ray/pull/45382)
  - PyFlyt QuadX WayPoints example [#44758](https://github.com/ray-project/ray/pull/44758), [#45956](https://github.com/ray-project/ray/pull/45956)
  - RLModule inference on new API stack ([#45831](https://github.com/ray-project/ray/pull/45831), [#45845](https://github.com/ray-project/ray/pull/45845))
  - How to resume a tune.Tuner.fit() experiment from checkpoint. ([#45681](https://github.com/ray-project/ray/pull/45681))
  - Custom RLModule (tiny CNN): [#45774](https://github.com/ray-project/ray/pull/45774)
  - Connector examples docstrings ([#45864](https://github.com/ray-project/ray/pull/45864))
- Old API stack examples: [#43592](https://github.com/ray-project/ray/pull/43592), [#45829](https://github.com/ray-project/ray/pull/45829)

##### Ray Core<a id="ray-core"></a>
🎉 New Features:
- Alpha release of job level [logging configuration](https://docs.ray.io/en/master/ray-core/api/doc/ray.LoggingConfig.html#ray.LoggingConfig): users can now config the user logging to be logfmt format with logging context attached. (#45344)

💫 Enhancements:
- Integrate amdsmi in AMDAcceleratorManager (#44572)

🔨 Fixes:
- Fix the C++ GcsClient Del not respecting del_by_prefix (#45604)
- Fix exit handling of FiberState threads (#45834) 

##### Dashboard<a id="ray-dashboard"></a>
💫 Enhancements:
- Parse out json logs (#45853) 

Many thanks to all those who contributed to this release: @liuxsh9, @peytondmurray, @pcmoritz, @GeneDer, @saihaj, @khluu, @aslonnie, @yucai, @vickytsang, @can-anyscale, @bthananjeyan, @raulchen, @hongchaodeng, @x13n, @simonsays1980, @peterghaddad, @kevin85421, @rynewang, @angelinalg, @jjyao, @BenWilson2, @jackhumphries, @zcin, @chris-ray-zhang, @c21, @shrekris-anyscale, @alanwguo, @stephanie-wang, @Bye-legumes, @sven1977, @WeichenXu123, @bveeramani, @nikitavemuri