## 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
```
