## Summary
### Cache invalidation fix
- After migrating object/field permissions to syncable entities (#18609,
#18751, #18567), changes to `flatObjectPermissionMaps`,
`flatFieldPermissionMaps`, or `flatPermissionFlagMaps` no longer
triggered `rolesPermissions` cache invalidation
- This caused stale permission data to be served, leading to flaky
`permissions-on-relations` integration tests and potentially incorrect
permission enforcement in production after object permission upserts
- Adds the three permission-related flat map keys to the condition that
triggers `rolesPermissions` cache recomputation in
`WorkspaceMigrationRunnerService.getLegacyCacheInvalidationPromises`
- Clears memoizer after recomputation to prevent concurrent
`getOrRecompute` calls from caching stale data
### Docker Hub rate limit fix
- CI service containers (postgres, redis, clickhouse) and `docker
run`/`docker build` steps were pulling from Docker Hub
**unauthenticated**, hitting the 100-pull-per-6-hour rate limit on
shared GitHub-hosted runner IPs
- Adds `credentials` blocks to all service container definitions and
`docker/login-action` steps before `docker run`/`docker compose`
commands
- Uses `vars.DOCKERHUB_USERNAME` + `secrets.DOCKERHUB_PASSWORD`
(matching the existing twenty-infra convention)
- Affected workflows: ci-server, ci-merge-queue, ci-breaking-changes,
ci-zapier, ci-sdk, ci-create-app-e2e, ci-website,
ci-test-docker-compose, preview-env-keepalive, spawn-twenty-docker-image
action
## 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.
## Problem
The `deleteFromLocalCache` method was only setting `lastHashCheckedAt=0`
instead of actually deleting the cache entry. This caused old versions
to accumulate in the local cache when `invalidateAndRecompute` was
called.
### Flow that causes the leak:
1. `invalidateAndRecompute()` is called
2. `flush()` → `deleteFromLocalCache()` — **only sets
`lastHashCheckedAt=0`, keeps old data**
3. `recomputeDataFromProvider()` → `setInLocalCache()` — **adds new
version with new hash**
4. `cleanupStaleVersions()` — **never called** (only triggered from
`getFromLocalCache` path)
Result: Each `invalidateAndRecompute` call adds a new version to
`entry.versions` without removing the old one.
### Impact
For migration commands (like
`1-17-migrate-attachment-to-morph-relations`) that process thousands of
workspaces, this caused significant memory growth:
- Each workspace calls `getOrRecompute` (version 1)
- Then calls `invalidateAndRecompute` (version 2 added, version 1 stays)
- Memory accumulates as the command processes more workspaces
## Solution
Actually delete the local cache entry in `deleteFromLocalCache`, so
`recomputeDataFromProvider` starts fresh.
```typescript
// Before (memory leak)
if (isDefined(entry)) {
entry.lastHashCheckedAt = 0;
}
// After (proper cleanup)
this.localCache.delete(localKey);
```
---------
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
## Problem
buildEntityMetadatas in GlobalWorkspaceOrmManager is computationally
expensive and was running on every executeInWorkspaceContext call. This
method uses
TypeORM's EntitySchemaTransformer and EntityMetadataBuilder to build
metadata for all workspace entities (30-50+ objects with many fields
each).
The resulting EntityMetadata[] is not serialisable which means it cannot
be cached in Redis because they contain:
- Circular references
- Functions/methods
- References to the DataSource instance
## Solution
Extended the workspace cache system to support local-only caching, then
created a cache provider for entityMetadatas.
## Implementation details
Updated @WorkspaceCache decorator (workspace-cache.decorator.ts)
- Added localOnly?: boolean option to skip Redis storage for
non-serializable data
Created WorkspaceEntityMetadatasCacheService
- Computes entity metadatas from DB to avoid race condition, this is
acceptable
Simplified GlobalWorkspaceOrmManager
- Now fetches entityMetadatas from cache instead of rebuilding on every
call
Updated Workspace migration runner - the only entry point where metadata
can change
- Now invalidate the new 'entityMetadata' local cache when
shouldIncrementMetadataGraphqlSchemaVersion is true (== field/object
mutations)
## Context
We've recently introduced a new workspace cache service which now acts
as a cache access and local storage for all workspace related data,
deprecating the individual specific services.
- Better performance through multiple caching/fetching strategies
- Consistent data access patterns across the codebase
- Reduced redis queries through MGET/MSET/PIPELINE with multiple cache
keys
## Context
Implementing a single service managing all the cache scoped to a
workspace, this will be dynamically injected as a WorkspaceContext in
the app during a request lifetime (ingested by the future global
datasource for example).
Usage:
```typescript
this.globalWorkspaceOrmManager.executeInWorkspaceContext(
authContext,
async () => {
// Everything here will have access to a workspaceContext, containing all the cache data + a ready to use datasource with workspace scoped metadata, permissions, feature flags, etc...
// Internally will call loadWorkspaceContext
}
```
Note: executeInWorkspaceContext will probably be owned by a higher level
service later and not only the ORM.
```typescript
private async loadWorkspaceContext(
authContext: WorkspaceAuthContext,
): Promise<WorkspaceContext> {
const workspaceId = authContext.workspace.id;
const cache =
await this.workspaceContextCacheService.get<WorkspaceContextData>(
workspaceId,
[
'objectMetadataMaps',
'metadataVersion',
'featureFlagsMap',
'permissionsPerRoleId',
],
);
return {
authContext,
objectMetadataMaps: cache.objectMetadataMaps,
metadataVersion: cache.metadataVersion,
featureFlagsMap: cache.featureFlagsMap,
permissionsPerRoleId: cache.permissionsPerRoleId,
};
}
```
The cache retrieval strategy is as followed:
```
- Check if there is an ongoing promise fetching data from the cache =>
return the promise.
- Check in the local cache entry if lastCheckedAt has expired. If not,
return as it is without querying redis.
- Check in redis the cache entry hash and compare with local cache entry
hash, if they are the same return the local cache entry data
- Check in redis the cache entry data, if it's there return it and store
it into the local cache entry data and update local cache entry hash. If
it's not there recompute the data by querying the DB and update both
redis and local cache
```
Etienne