prometheus / prometheus/client_python
gauge.set_function() doesn't work in multiprocess mode
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Descripción
Multiprocess mode's collect() reads the registry files and aggregates metrics that have been written to prometheus_multiproc_dir.
This doesn't work with gauge.set_function() which does not record its value. The provided function is just called during collection.
That means with the following code:
registry = CollectorRegistry()
Gauge("test", "test", registry=self._registry).set_function(lambda: 100)
multiprocess.MultiProcessCollector(registry)
The output will be:
# HELP test test
# TYPE test gauge
test 100.0
# HELP test Multiprocess metric
# TYPE test gauge
test{pid="10705"} 0.0
Current side effects:
- If any mode other than
allorliveallis used, thepidtag won't be included. This results in duplicate metrics being reported to Prometheus. Prometheus currently only uses the first metric it reads, which is non-deterministic due to iteration over the registry's dictionary. - If
registry=Noneto avoid double reporting, only the default value of0.0is reported. - Current way to work around it is to use the mode
alland to ignore gauges in Prometheus and with the tagpid.
Proposal:
I'm not sure how you could incorporate set_function into the multiprocess registry and I'm not convinced how useful of a feature it would be. Is it reasonable to add a new multiprocess_mode: exclude which would prevent the incorrect 0.0 value being reported? Or would it be better to just add documentation to recommend using two independent registries?
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Línea de trabajo
Reproduce la discrepancia utilizando el punto de entrada collect() de multiprocess.py y el comportamiento de set_function() de registry.py, con prometheus_multiproc_dir configurado. Compara los valores informados entre los modos multiprocess y determina el comportamiento esperado para set_function(); se considera completado cuando el comportamiento elegido está documentado y se ha corregido el informe duplicado o incorrecto de 0.0.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- python
- Área
- observability-sre
- Tipo de issue
- Error
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Estancado
- Claridad
- Necesita aclaración
- Aptitud para principiantes
- 35/100