Vitest Pros:
* Automated failing test comments on github PRs
* A nice local UI with incremental testing when changing files (`yarn
test:ui`)
* Also nicely supported in all major IDEs, click to run test works (so
we won't miss what we had with jest).
* Works well with ESM
Vitest Cons:
* The ESBuild transformer vitest uses takes a little longer to transform
than our current SWC/jest setup, however, it is possible to setup SWC as
the transformer for vitest as well (though it only does one transform,
so we're paying ~7-10 seconds instead of ~ 2-3 seconds in transform
phase).
* Exposes how slow our tests are (tongue in cheek here)
We're migrating to ESM, which will allow us to import the latest
versions of our dependencies.
Co-Authored-By: Christopher Kolstad <chriswk@getunleash.io>
## About the changes
Builds on top of #8766 to use memoized results from stats-service.
Because stats service depends on version service, and to avoid making
the version service depend on stats service creating a cyclic
dependency. I've introduced a telemetry data provider. It's not clean
code, but it does the job.
After validating this works as expected I'll clean up
Added an e2e test validating that the replacement is correct:
[8475492](847549234c)
and it did:
https://github.com/Unleash/unleash/actions/runs/11861854341/job/33060032638?pr=8776#step:9:294
Finally, cleaning up version service
## About the changes
Our stats are used for many places and many times to publish prometheus
metrics and some other things.
Some of these queries are heavy, traversing all tables to calculate
aggregates.
This adds a feature flag to be able to memoize 1 minute (by default) how
long to keep the calculated values in memory.
We can use the key of the function to individually control which ones
are memoized or not and for how long using a numeric variant.
Initially, this will be disabled and we'll test in our instances first
## About the changes
We have many aggregation queries that run on a schedule:
f63496d47f/src/lib/metrics.ts (L714-L719)
These staticCounters are usually doing db query aggregations that
traverse tables and we run all of them in parallel:
f63496d47f/src/lib/metrics.ts (L410-L412)
This can add strain to the db. This PR suggests a way of handling these
queries in a more structured way, allowing us to run them sequentially
(therefore spreading the load):
f02fe87835/src/lib/metrics-gauge.ts (L38-L40)
As an additional benefit, we get both the gauge definition and the
queries in a single place:
f02fe87835/src/lib/metrics.ts (L131-L141)
This PR only tackles 1 metric, and it only focuses on gauges to gather
initial feedback. The plan is to migrate these metrics and eventually
incorporate more types (e.g. counters)
---------
Co-authored-by: Nuno Góis <github@nunogois.com>
## About the changes
App stats is mainly used to cap the number of applications reported to
Unleash based on the last 7 days information:
cc2ccb1134/src/lib/middleware/response-time-metrics.ts (L24-L28)
Instead of getting all stats, just calculate appCount statistics
Use scheduler service instead of setInterval
As part of more telemetry on the usage of Unleash.
This PR adds a new `stat_` prefixed table as well as a trigger on the
events table trigger on each insert to increment a counter per
environment per day.
The trigger will trigger on every insert into the events base, but will
filter and only increment the counter for events that actually have the
environment set. (there are events, like user-created, that does not
relate to a specific environment).
Bit wary on this, but since we truncate down to row per (day,
environment) combo, finding conflict and incrementing shouldn't take too
long here.
@ivarconr was it something like this you were considering?
## About the changes
- `getActiveUsers` is using multiple stores, so it is refactored into
read-model
- Refactored Instance stats service into `features` to co-locate related
code
Closes https://linear.app/unleash/issue/UNL-230/active-users-prometheus
### Important files
`src/lib/features/instance-stats/getActiveUsers.ts`
## Discussion points
`getActiveUsers` is coded less _class-based_ then previous similar
read-models. In one file instead of 3 (read-model interface, fake read
model, sql read model). I find types and functions way more readable,
but I'm ready to refactor it to interfaces and classes if consistency is
more important.
