Validations :
- relations count (in common api)
- oneToMany relation nested count (in common)
- requested fields count (in gql)
- root resolver count (in gql)
- root resolver duplicates (in gql)
- specific complexity for metadata / nesting count (in gql)
## Context
We are experiencing bad performance on Twenty. One of the root cause
hypothesis is that computing `currentUser.currentWorkspace.views` is CPU
consuming. Without views, the GetCurrentUser response is ~1000 lines.
With its ~10000 lines.
As graphql is going through all fields recursively this can be quite
heavy on CPU. We had a similar issues on ObjectMetadataItems 2 years ago
and came with storing the response in redis.
Note: I thought there was also a cache in RAM but this is not the case,
so to invalidate the cache we can just empty redis.
## How
- Extract getting all views from GetCurrentUser and update frontend to
perform both queries
- Add views to cached graphql operations
- invalidate the cache manually on view or related core entities update
/ create / delete / destroy
## Tests
I have tested a lot on v1
## Context
Added to the existing useGraphQLErrorHandlerHook yoga hook to increment
metrics after all query executions based on their error codes. I
originally wanted to create a new useMetrics hook but most of the error
handling was done in useGraphQLErrorHandlerHook so we decided to keep it
there for now.
<img width="1310" alt="Screenshot 2025-06-24 at 15 58 26"
src="https://github.com/user-attachments/assets/498d3754-851a-4051-a5c2-23ac8253aa6a"
/>
More progress on translations:
- Migrate from translations.io to crowdin
- Optimize performance and robustness
- Set workspaceMember/user locale upon signup
In this PR:
- removing ugprade-0.24 commands as we are releasing 0.30
- introducing cache:flush command
- refactoring upgrade command and sync-metadata command to use the
ActiveWorkspacesCommand so they consistently run on all workspaces or
selected workspaces
Fixes:
- clear localStorage on sign out
- fix missing workspaceMember in verify resolver
- do not throw on datasource already destroyed exception which can
happen with race condition when several resolvers are resolving in
parallel
In this PR:
1. Refactor guards to avoid duplicated queries: WorkspaceAuthGuard and
UserAuthGuard only check for existence of workspace and user in the
request without querying the database
## Context
As we grow, the messaging scripts are experiencing performance issues
forcing us to temporarily disable them on the cloud.
While investigating the performance, I have noticed that generating the
entity schema (for twentyORM) in the repository is taking ~500ms locally
on my Mac M2 so likely more on pods. Caching the entitySchema then!
I'm also clarifying naming around schemaVersion and cacheVersions ==>
both are renamed workspaceMetadataVersion and migrated to the workspace
table (the workspaceCacheVersion table is dropped).
We call convertExceptionToGraphQLError in the exception handler for http
exceptions but we don't take into account those that already are
graphqlErrors and because of that the logic of convertExceptionToGraphql
is to fallback to a 500.
Now if the exception is a BaseGraphqlError (custom graphql error we
throw in the code), we throw them directly.
BEFORE
<img width="957" alt="Screenshot 2024-07-12 at 15 33 03"
src="https://github.com/user-attachments/assets/22ddae13-4996-4ad3-8f86-dd17c2922ca8">
AFTER
<img width="923" alt="Screenshot 2024-07-12 at 15 32 01"
src="https://github.com/user-attachments/assets/d3d6db93-6d28-495c-a4b4-ba4e47d45abd">
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
## Context
@lucasbordeau introduced a new Yoga plugin that allows us to cache our
requests (👏), see https://github.com/twentyhq/twenty/pull/5189
I'm simply updating the implementation to allow us to use different
cache storage types such as redis
Also adding a check so it does not use cache for other operations than
ObjectMetadataItems
## Test
locally, first call takes 340ms, 2nd takes 30ms with 'redis' and 13ms
with 'memory'
In this PR I'm introducing a simple custom graphql-yoga plugin to create
a caching mechanism specific to our metadata.
The cache key is made of : workspace id + workspace cache version, with
this the cache is automatically invalidated each time a change is made
on the workspace metadata.
- Implemented dataloader package on metadata graphql server
- Implemented a dataloader for relation metadata module
---------
Co-authored-by: Jérémy M <jeremy.magrin@gmail.com>
Etienne