Task queues backed by ES: Tasques.

Some of these may be goals :p

• Easily scalable:
  • Servers are stateless; easily spin more up as needed
  • The storage engine is Elasticsearch, nuff' said.
• Tasks can be configured
  • Priority
  • When to run
  • Retries
    • Tasks can be configured to retry X times, with exponential increase in run times
• Timeouts
  • Tasks that are picked up by workers that either don't report in or finish on time get timed out.
• Unclaiming
  • Tasks that were picked up but can't be handled now can be requeued without consequence.

1. Go 1.13+

1. Install Go
2. Clone this repo
3. Stand up an ES (e.g. with Docker docker run -p 9200:9200 --env discovery.type=single-node elasticsearch:7.5.2)
4. Copy the config/tasques.example.yaml to config/tasques.yaml, adjust if needed
5. go run ./app and hit the endpoints.

• For Swagger, go to localhost:8080/swagger/index.html

There is also an example project that demonstrates the application-tasques-worker relationship more thoroughly; please see example/ciphers for more details.

The server supports APM, as configured according to the official docs.

1. Install Go
2. Use your favourite editor/IDE
3. For updating Swagger docs:
   1. Install Swaggo
   2. Run swag init -g app/main.go from the root project dir
      • Check that there are no time.Time fields... there's a race condition in there somewhere
   3. Commit the generated files.
4. For updating the Go Client:
   1. Install go-swagger
   2. Run swagger generate client -f docs/swagger.yaml
   3. Commit the generated files.