feat(sqlite): migrate internal actor storage to sqlite#5384
Draft
NathanFlurry wants to merge 2 commits into
Draft
feat(sqlite): migrate internal actor storage to sqlite#5384NathanFlurry wants to merge 2 commits into
NathanFlurry wants to merge 2 commits into
Conversation
NathanFlurry
commented
Jul 8, 2026
Member
- Move internal RivetKit actor runtime persistence from actor KV into SQLite-backed tables, including state, hibernatable connections, queues, alarms, workflow/user KV shims, and migration import.
- Keep the inspector token KV mirror for dashboard compatibility while making SQLite the runtime source of truth.
- Update TypeScript/NAPI runtime surfaces, docs, limits, and driver coverage for the SQLite-backed storage path.
- Validate with rivetkit-core lib tests, rivetkit-core check, and the included native/local plus wasm/remote driver matrix.
|
🚅 Deployed to the rivet-pr-5384 environment in rivet-frontend
|
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.