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Support MultiProcessCollector in RestrictedRegistry. #1150
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mathias-kende
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -10,9 +10,10 @@ it's common to have processes rather than threads to handle large workloads. | |
| To handle this the client library can be put in multiprocess mode. | ||
| This comes with a number of limitations: | ||
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| - Registries can not be used as normal, all instantiated metrics are exported | ||
| - Registries can not be used as normal | ||
| - Registering metrics to a registry later used by a `MultiProcessCollector` | ||
| may cause duplicate metrics to be exported | ||
| - Filtering on metrics works but might be inefficient | ||
|
Member
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. It would be worth calling out that it works iff |
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| - Custom collectors do not work (e.g. cpu and memory metrics) | ||
| - Gauges cannot use `set_function` | ||
| - Info and Enum metrics do not work | ||
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@@ -49,7 +50,7 @@ MY_COUNTER = Counter('my_counter', 'Description of my counter') | |
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| # Expose metrics. | ||
| def app(environ, start_response): | ||
| registry = CollectorRegistry() | ||
| registry = CollectorRegistry(support_collectors_without_names=True) | ||
| multiprocess.MultiProcessCollector(registry) | ||
| data = generate_latest(registry) | ||
| status = '200 OK' | ||
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This is probably worth keeping in as all instantiated metrics are still exported, not just those added to a specific registry. We could change exported to collected I guess since they could then be filtered before exporting now?