- enrich SSE events with relations
- remove queries from sse metadata events
- on sse event, manage store
- on object/field metadata changes, manage store
TODO left:
- fix other metadata items
---------
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions <github-actions@twenty.com>
Co-authored-by: Charles Bochet <charles@twenty.com>
## Summary
Replace the single `metadataVersion` integer with per-entity-type
**collection hashes** for granular metadata staleness detection. The
backend already generates a UUID per flat entity map on each cache
recompute (`crypto.randomUUID()` in `WorkspaceCacheService`); we now
expose these via the minimal metadata endpoint and SSE events so the
frontend can compare and know exactly which entity types are stale.
### Key changes
**Backend:**
- `WorkspaceCacheService.getCacheHashes()` — new public method that
reads only `:hash` keys from Redis without fetching full data
- `MinimalMetadataDTO` — added `collectionHashes: Record<string,
string>` (JSON scalar mapping `AllMetadataName` → collection hash),
removed `metadataVersion`
- `MetadataEventDTO` — added optional `updatedCollectionHash` field to
SSE events
- `MetadataEventsToDbListener` — reads the collection hash for the
affected entity type after cache invalidation and attaches it to the SSE
event before publishing
- `MinimalMetadataService` — no longer queries the workspace table; uses
`getCacheHashes()` for all flat entity maps and maps cache keys to
`AllMetadataName` locally
**Frontend:**
- `metadataCollectionHashesState` — new Jotai atom with
`atomWithStorage` + `getOnInit: true` storing
`Partial<Record<MetadataEntityKey, string>>`
- `mapAllMetadataNameToEntityKey()` — explicit mapping from backend
`AllMetadataName` to frontend `MetadataEntityKey` (23 entries)
- `useLoadMinimalMetadata` — stores `collectionHashes` from server,
computes `staleEntityKeys` by comparing local vs server hashes
- `patchMetadataStoreFromSSEEvent()` — accepts optional
`updatedCollectionHash` and updates `metadataCollectionHashesState`
- All 11 SSE effect components — pass
`eventDetail.updatedCollectionHash` through to the patch function
- `useStaleMetadataEntities` — new hook returning entity keys missing
from collection hashes (not yet loaded/synced)
- `resetMetadataStore()` — also clears collection hashes
- Deleted `metadataVersionState` (superseded by collection hashes)
### Design decisions
- **No change to hash generation** — existing `crypto.randomUUID()` is
sufficient. Hashes are persisted in Redis, survive server restarts, and
change only on `invalidateAndRecompute`.
- **"Collection hash" naming** — used consistently to clarify the hash
represents an entire entity collection (e.g., all views), not a single
record.
- **Mapping localized** — backend `WorkspaceCacheKeyName` →
`AllMetadataName` mapping lives in the minimal metadata service.
Frontend `AllMetadataName` → `MetadataEntityKey` mapping lives in a
local utility. Nothing in `twenty-shared`.
- **Backward compatible** — `collectionHashes` is additive;
`updatedCollectionHash` is nullable.
Create the necessary tooling to listen to metadata events and plug it to
the front components. Now we have a hot reload like experience when we
edit a component in an app.
## Backend
- Split `EventWithQueryIds` into `ObjectRecordEventWithQueryIds` and
`MetadataEventWithQueryIds`
- Publish metadata event batches to active SSE streams in
`MetadataEventsToDbListener`
## Frontend
- Create a metadata event dispatching pipeline: SSE metadata events are
grouped by metadata name, transformed into
`MetadataOperationBrowserEventDetail` objects, and dispatched as browser
`CustomEvents`
- Add `useListenToMetadataOperationBrowserEvent` hook for consuming
metadata operation events filtered by metadata name and operation type
- Rename `useListenToObjectRecordEventsForQuery` to
`useListenToEventsForQuery`, now accepting both
`RecordGqlOperationSignature` and `MetadataGqlOperationSignature`
- Implement `useOnFrontComponentUpdated` which subscribes to front
component metadata events and updates the Apollo cache when the
component is modified
- Add `builtComponentChecksum` to the front component query and appends
it to the component URL for browser cache invalidation
This PR handles SSE event stream edge cases.
- When a pod restarts, the front clients have to reconnect to SSE
- When the dev server restarts or is hot reloaded, the front client has
to reconnect to SSE
- When redis server restarts or the redis key is cleared for any reason,
the server has to recreate the event stream in redis, this can happen
when navigating for example.
- Log in / log out flow
With this PR we avoid error messages in the front end due to TTL or pod
crash, we implement a resilient way of reconnecting silently.
To avoid DDoSing our servers if pods crash or a full restart of the
cluster is made, we evenly space retry attempts to reconnect from all
the clients, to avoid n clients reconnection at the same time, we use a
random wait time between 0 and a constant max wait time (set to 2 mins
for now). This is the cheapest and most effective solution, clients who
want to force reconnect have to refresh or navigate to another page.
Fixes https://github.com/twentyhq/core-team-issues/issues/2045
This PR update the redis subscription iterator wrapper with an heartbeat
system. Heartbeat interval are based on event stream TTL. Those refresh
the event stream TTL and active streams in redis.
I also cleaned a few functions that were not used anymore.
---------
Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com>
This PR implements SSE update events across the main components of the
application : tables, boards, calendars, show pages.
There is still work to do on other event type and on making sure
everything works fine, but this first implementation should be robust
enough to start with.
Some problems encountered along the way :
- Events are returning raw Postgres output, because they are not
normalized by the GraphQL layer, so we ended up with amountMicros as
string values, which the frontend does not like, so I implemented a
small util in our `formatResult` generic pipeline to turn amountMicros
to a number if it's a string value. We could implement other formatters
for composite fields if we see problems with events.
-`action` property was missing in SSE events, which is required by the
frontend to know what kind of event it is.
# QA
https://github.com/user-attachments/assets/393b45ac-59d2-48b0-855b-2ce9c4b8ae57https://github.com/user-attachments/assets/cb214e7a-1595-4b85-bdb6-87630993d2e2
- new channel EVENT_STREAM_CHANNEL based on event stream id
- on event, perform the matching and publish only to the right streams
- store a list of active streams per workspace
- store the user id along with the queries for each stream
Bonus:
- remove onSubscriptionMatch
This PR is a follow-up of https://github.com/twentyhq/twenty/pull/16966
and implements a new mechanism to handle SSE events.
It creates only one event stream per browser tab, then use mutations to
tell the backend which query to listen to, without re-mounting the event
stream connexion.
Then each event that comes from this unique subscription is then
dispatched in a new JavaScript CustomEvent, per queryId, on which
specific hooks add an event listener.
This PR introduces the generic tooling as well as the handling of update
events on table.
- moved a few gql types to twenty shared to re-use in server
- added a new endpoint, onEventSubscription that expect a streamId to
create a connection
- two new endpoints to store queries in Redis
- updated the existing batch channel to directly use object record type
We were using a global ValidationPipe in main.ts. This is an issue as
@Controllers should return HttpExecption and @Resolvers should return
GraphqlErrors
Removing the global pipe and creating a ResolverValidationPipe able to
generate GraphqlError. We also need to handle the exception in a filter
to avoid nest to think it's unhandled and make it flow to logs
Next step:
- it would be nice to have both @UsePipes(ResolverValidationPipe) +
@UseFilters(GraphqlValidationExceptionFilter) come together. This should
be possible if we create a @GraphQLResolver annotation
related to https://github.com/twentyhq/core-team-issues/issues/601
## Done
- add a `onDbEvent` `Subscription` graphql endpoint to listen to
database_event using what we have done with webhooks:
- you can subscribe to any `action` (created, updated, ...) for any
`objectNameSingular` or a specific `recordId`. Parameters are nullable
and treated as wildcards when null.
- returns events with following shape
```typescript
@Field(() => String)
eventId: string;
@Field()
emittedAt: string;
@Field(() => DatabaseEventAction)
action: DatabaseEventAction;
@Field(() => String)
objectNameSingular: string;
@Field(() => GraphQLJSON)
record: ObjectRecord;
@Field(() => [String], { nullable: true })
updatedFields?: string[];
```
- front provide a componentEffect `<ListenRecordUpdatesEffect />` that
listen for an `objectNameSingular`, a `recordId` and a list of
`listenedFields`. It subscribes to record updates and updates its apollo
cached value for specified `listenedFields`
- subscription is protected with credentials
## Result
Here is an application with `workflowRun`
https://github.com/user-attachments/assets/c964d857-3b54-495f-bf14-587ba26c5a8c
---------
Co-authored-by: prastoin <paul@twenty.com>