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Merge pull request #4967 from kireetb/main
Allow configuration of bucket sizes in metrics - #4833
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@@ -33,6 +33,16 @@ export JUPYTERHUB_METRICS_PREFIX=jupyterhub_prod
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would result in the metric `jupyterhub_prod_active_users`, etc.
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would result in the metric `jupyterhub_prod_active_users`, etc.
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## Customizing spawn bucket sizes
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As of JupyterHub 5.3, override `JUPYTERHUB_SERVER_SPAWN_DURATION_SECONDS_BUCKETS` env variable in Hub's environment to allow custom bucket sizes. Otherwise default to, [0.5, 1, 2.5, 5, 10, 15, 30, 60, 120, 180, 300, 600, float("inf")]
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For example,
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```bash
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export JUPYTERHUB_SERVER_SPAWN_DURATION_SECONDS_BUCKETS="1,2,4,6,12,30,60,120"
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```
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## Configuring metrics
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## Configuring metrics
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```{eval-rst}
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```{eval-rst}
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@@ -37,6 +37,28 @@ from . import orm
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from .utils import utcnow
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from .utils import utcnow
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metrics_prefix = os.getenv('JUPYTERHUB_METRICS_PREFIX', 'jupyterhub')
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metrics_prefix = os.getenv('JUPYTERHUB_METRICS_PREFIX', 'jupyterhub')
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_env_buckets = os.environ.get(
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'JUPYTERHUB_SERVER_SPAWN_DURATION_SECONDS_BUCKETS', ""
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).strip()
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if _env_buckets:
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spawn_duration_buckets = [float(_s) for _s in _env_buckets.split(",")]
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else:
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spawn_duration_buckets = [
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0.5,
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1,
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2.5,
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5,
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10,
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15,
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30,
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60,
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120,
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180,
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300,
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600,
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float("inf"),
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]
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REQUEST_DURATION_SECONDS = Histogram(
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REQUEST_DURATION_SECONDS = Histogram(
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'request_duration_seconds',
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'request_duration_seconds',
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@@ -51,7 +73,7 @@ SERVER_SPAWN_DURATION_SECONDS = Histogram(
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['status'],
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['status'],
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# Use custom bucket sizes, since the default bucket ranges
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# Use custom bucket sizes, since the default bucket ranges
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# are meant for quick running processes. Spawns can take a while!
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# are meant for quick running processes. Spawns can take a while!
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buckets=[0.5, 1, 2.5, 5, 10, 15, 30, 60, 120, 180, 300, 600, float("inf")],
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buckets=spawn_duration_buckets,
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namespace=metrics_prefix,
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namespace=metrics_prefix,
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)
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)
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