## Context
1. We are debugging the experience on messaging and calendar sync. I'm
adding two scripts to relaunch messaging and calendar channels
2. We are seeing errors in Sentry regarding microsoft drivers errors. I
was about to fix them but I'm refactoring / simplifying a bit the logic
first. It will be a betters starting point
In this PR:
- refactor timelineActivity computation to batch it
- make sure to pass the authContext to insert-query-builder in order to
pass user information to timelineActivity
- refactor message-participant /calendar-participant creation to batch
more
- fix favorite on view race condition (FE)
- deprecate PARTIAL_CALENDAR_EVENT_FETCH_LIST syncStage as we will
deprecate partial vs full notion (we will just leverage cursor emptyness
or not)
- introduce calendar / messging SCHEDULED syncStage that will allow
better performance granularity later
- activate quick message import after message list fetch to speed
performance on small message lists
This PR aims to improve performances as we are making A LOT of queries
after having added events emission to the ORM layer. While investigating
issues, I've come across multiple problems I will describe below
## Add index on workspace.activationStatus as we are querying it a lot
As per title
## Add logs on core datasource destroy
It seems that we have postgres connection pool destruction in
production. I cannot reproduce locally but I suspect the Query Timeouts
to be the root cause. I'm fixing most of the Query Timeouts cause in
this PR but I'm adding the logs so we have more information in case in
keeps happening in production.
## GraphQL query runner createMany
It was using a for loop on each record. This is as issue has we will
emit an event separately for each record => we should always try to
batch events.
Replacing by a save on all records. Note that this is not perfect as we
should avoid using save (bad performances), and use insert + updateMany
instead. As I have follow up discussions regarding permissions, I
haven't replaced it by insert and updateMany yet. Using save instead of
a for loop makes the problem less worrying.
## Introduce updateMany in ORM @Weiko @ijreilly FYI
.save(manyRecords) is bad as it's querying the data for no good reason
(and doing a select for each record...).
We already have .insert(), i'm introducing .updateMany()
I think our ORM layer should be simplified a lot but I'm not starting
the refacto yet
## Fixing ORM @Weiko @ijreilly FYI
- Fixing events emission in delete function
- Fixing events emission in insert function
- make sure everything is batched
## Events performance @Weiko @ijreilly FYI
Do not emit timelineActivity db events as this does not seem useful and
is quite heavy
## Messaging and Calendar performance @bosiraphael FYI
Rework many functions to make sure they are batched. This does not touch
the driver layer and I have heavily tested it. (multiple account, with
multiple channels, common thread, common messages, etc...)
## Workflow Trigger relation Fetch performance @martmull FYI
Improved performance by batching
## Context
Add an eventEmitter instance to twenty datasources so we can emit DB
events.
Add input and output formatting to twenty orm (formatData, formatResult)
Those 2 elements simplified existing logic when we interact with the
ORM, input will be formatted by the ORM so we can directly use
field-like structure instead of column-like. The output will be
formatted, for builder queries it will be in `result.generatedMaps`
where `result.raw` preserves the previous column-like structure.
Important change: We now have an authContext that we can pass when we
get a repository, this will be used for the different events emitted in
the ORM. We also removed the caching for repositories as it was not
scaling well and not necessary imho
Note: An upcoming PR should handle the onDelete: cascade behavior where
we send DESTROY events in cascade when there is an onDelete: CASCADE on
the FK.
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
Fixes https://github.com/twentyhq/twenty/issues/8300
## Context
API events were created too late and were already formatted as Gql
responses (including nesting with edges/node/type + formatting that
should not exist in an event payload). This PR moves the emit logic to
the resolver where we actually do the DB query
Note: Also added RESTORED events