# Ray 2.34.0 — Release 2.34.0 Notes

- Product: Ray (https://whatsnew.fyi/product/ray)
- Vendor: Anyscale
- Date: 2024-07-31
- Version: 2.34.0
- Original notes: https://github.com/ray-project/ray/releases/tag/ray-2.34.0
- Permalink: https://whatsnew.fyi/product/ray/releases/2.34.0

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 better support for UDF returns from list of datetime objects
- **fixed** — Remove read task warning if size bytes not set in metadata
- **fixed** — Sort workers by node ID rather than by node IP
- **removed** — Remove dead RayDatasetSpec
- **added** — Initial design for Ray-Data based offline RL Algos on new API stack
- **added** — Add user-defined schemas for data loading
- **added** — Make data pipeline better configurable and tuneable for users
- **changed** — Move DQN into the TargetNetworkAPI
- **deprecated** — Deprecate RLModuleWithTargetNetworksInterface
- **fixed** — Rename all np.product usage to np.prod for numpy compatibility
- **changed** — Cleanup, rename, clarify: Algorithm.workers/evaluation_workers, local_worker(), etc.
- **changed** — Add new python GcsClient binding

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

##### Ray Data<a id="ray-data"></a>
💫 Enhancements:
  - Add better support for UDF returns from list of datetime objects (#46762)
  
🔨 Fixes:
  - Remove read task warning if size bytes not set in metadata (#46765)

📖 Documentation:
  - Fix read_tfrecords() docstring to display tfx-bsl tip (#46717)
  - Update Dataset.zip() docs (#46757)


##### Ray Train<a id="ray-train"></a>
🔨 Fixes:
  - Sort workers by node ID rather than by node IP (#46163)

🏗 Architecture refactoring:
  - Remove dead RayDatasetSpec (#46764)

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

🎉 New Features:
  - Offline RL support on new API stack:
     - Initial design for Ray-Data based offline RL Algos (on new API stack). (#44969)
     - Add user-defined schemas for data loading. (#46738)
     - Make data pipeline better configurable and tuneable for users. (#46777)

💫 Enhancements:
- Move DQN into the TargetNetworkAPI (and deprecate `RLModuleWithTargetNetworksInterface`). (#46752)

🔨 Fixes:
- Numpy version fix: Rename all np.product usage to np.prod (#46317)

📖 Documentation:
- Examples for new API stack: Add 2 (count-based) curiosity examples. (#46737)
- Remove RLlib CLI from docs (soon to be deprecated and replaced by python API). (#46724)

🏗 Architecture refactoring:
- Cleanup, rename, clarify: Algorithm.workers/evaluation_workers, local_worker(), etc.. (#46726)

#### Ray Core<a id="ray-core"></a>

🏗 Architecture refactoring:
- New python GcsClient binding (#46186)




Many thanks to all those who contributed to this release! @KyleKoon, @ruisearch42, @rynewang, @sven1977, @saihaj, @aslonnie, @bveeramani, @akshay-anyscale, @kevin85421, @omatthew98, @anyscalesam, @MaxVanDijck, @justinvyu, @simonsays1980, @can-anyscale, @peytondmurray, @scottjlee