Comments (3)
That's equivalent to job priority. Faktory does not support that, as it would change the queue PUSH/POP from O(1) to O(log N), impacting scalability pretty severely.
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I see. The go and node worker libraries seem to have the notion of switching between priority queues, but they also cap at an overall number of jobs rather than adapting to capacity on the worker. Maybe this concept could be implemented on the worker side, where each queue is associated with a certain cost and the worker will run in parallel up to a certain total cost?
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The Go library has a notion of queue weights and so jobs in a higher priority queue will take precedence. Jobs themselves have no intrinsic cost or priority.
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Related Issues (20)
- Feature suggestion: Unwrap ActiveJob wrapped Job names in the WebUI HOT 6
- Handling server upgrades? HOT 4
- Custom data stripped on batch callbacks for trace metadata propagation HOT 1
- Feature Request: Unique jobs even after completion HOT 2
- Ent Faktory Batches Guarantees HOT 1
- Fail jobs immediately when worker crashes HOT 6
- Add direct TLS support HOT 2
- Publish enterprise release binary for Linux to aid in testing HOT 1
- Faktory Enterprise shutting down messages in the log file - no explanation as to why Faktory is shutting down.
- REST API for UI HOT 2
- [Feature Request] Include Redis RTT in statsd metrics that are emitted HOT 3
- [Feat Request] Improve the reliability of Faktory server when overloaded with connections HOT 1
- Support Env Var expansion in toml config files HOT 3
- Question: What is the unit of "time" for Ent Metrics HOT 6
- Crashlooping on start HOT 16
- deb packages for arm64 HOT 3
- bzip2 deprecated
- Faktory crashed with fatal error: concurrent map writes HOT 3
- Is it possible to run the faktory server in a HA setup HOT 2
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