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
