* Boilerplate server-only use case
* wip: integration suite instrumentation setup
* Working poc testing compileProject
* Add pnpm script to run e2e tests only
* Use vitest globals
* Remove commented line
* Remove useless export
* Add modifier to test only one fixture project
* Handle package manager and log level choice
* Update server-only example
* Setup / teardown + split compile for package manager capabilities
* Ignore yarn files
* Fix issue with corepack, store version in engines field
* Rename test file
* Fix npm updates yarn.lock
* Move typecheking in a dedicated test
* Stop bundling the compile command to allow for more granular testing
* Put config resolving in separate test
* Add no-config test case and add test case expected errors configuration
* Add wantCompilationError option
* Add dependencies handling
* Use packageManager passed as option to resolve required deps
* Remove unused guard clauses
* Add postinstall & hash handling step
* Add worker start test
* Handle yarn.lock copy renaming on sigterm and sigkill
* Update vitest and use concurrent option
* Add a readme file
* Add CI workflow
* Fix handle cli deps
* Run cli v3 e2e tests on publish action
* Increase timeout on deps resolving step
* Add changeset
* Remove .pnp.cjs as we use yarn with nodeLinker node-modules
* Add missing .yarnrc.yml file
* No need to build CLI to run E2E tests
* Remove bun.lockb files
* Update beige-pears-explode.md
---------
Co-authored-by: Eric Allam <eallam@icloud.com>
* WIP job run performance improvements
- Added a `perf` tool to better measure job run performance under heavy load
- Removed `runFinished` job (not really needed)
- startQueuedRuns now uses a jobKey with replace
- Fixed an issue with ZodWorker when using jobKey
* Publish improvement docker images
* fixed the improvement docker publishing
* Downgrade back to prisma 4.16.0 because 5.1.x broke docker builds
* Changes to how queued runs work
- Split the worker into two different workers, one dedicated to performRunExecution
- Schedule performRunExecution in a single place, with a queue and using a round robin manually controlled concurrency
- Remove startQueuedRuns
- All runs are queued before they are started
- Setting the worker maxPoolSize to the same as the worker concurrency
- Starting to be able to split the docker image
* Remove queue name from startRun graphile job
* Make the prisma connection pool stuff configurable through env vars
* Hardcode (for now) the max concurrent runs limit
* Rewrite performRunExecution to be more performant
PerformRunExecutionV2:
- Does not create and manage jobRunExecution records
- Does not reimplement retrying, uses graphile worker retrying instead
I’ve kept around PerformRunExecutionV1 so this works when deploying. Definitely needs LOTS of testing
* Fix issues with cached tasks
- Limit the size of the cached tasks sent when executing a run, using the knapsack problem dynamic programming approach
- Actually USE the cached tasks in IO by using the idempotencyKey instead of the task ID
- Remove output from all logs
- Added a stress test job catalog
* Forgot to commit the logger updates
* Never log connectionString
* Login to docker hub to get around rate limits
* Add additional logging to the graphile workers
* Fix the *_ENABLED env vars
* Allow adding and removing jobs to be done from the webapp
* Don’t set the job to failed if it’s being retried
* Deprecated queue options in the job and removed startPosition. Now using the job/env combo as the job queue name
* Dequeung jobs doesn’t check if the runner is initialized
* Fixed issues with retrying a run getting stuck on a cancelled task, and errors from parsing the results of dequeing a job
* Remove queued round robin thing that isn’t used anymore
* Added slack to job catalog
* Better forwards compat
* Added long delay
* Fixed lock file
Émile Ré