* refactor: batch feature metric inserts
* fix: use startOfHour when collapsing metrics
* refactor: avoid extra loop to sum yes/no values
* refactor: add experimental flag for batching metrics
* fix: prevent deadlock for batchinserting usage metrics
In client metrics v2 we utilize postgres to count the usage
across a few dimentions (featureName, app_name, environment).
It turns out that if the UPDATE values are not executed in a predictable
order we can end up in a deadlock scenario with postgresql.
In this fix we thus sort the metrics on the feature_name, app_name and
envrionment, to make sure they always are executed in a predictabel
order, and thus avoiding independent inserts colliding in to a deadlock
waiting for eachother.
* fix: tests cannot assume order
Adds a new way of handling usage metrics where we push it directly to the database and performs aggregation on the fly. All metrics are aggregated in to buckets of hours. We will for now store metrics for the 48 hours with the following dimensions:
- featureName
- projectName
- envrionment
- yes (the actual count)
- no (the actual count)
