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Drops image label in container_memory_working_set_bytes metric #1435

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wrbbz
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@wrbbz wrbbz commented May 21, 2024

In according to documentation, container_memory_working_set_bytes has only three labels (by default):

  • container
  • pod
  • namespace

Thus, image label was deleted from query due to its possible absence

@wrbbz wrbbz changed the title fix(labels): drops image label in container_memory_working_set_bytes metric Drops image label in container_memory_working_set_bytes metric May 21, 2024
@arikalon1
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hey @wrbbz

we filter on the label to prevent incorrectly doubling the metric (see stackoverflow below)
https://stackoverflow.com/questions/69281327/why-container-memory-usage-is-doubled-in-cadvisor-metrics

Are you scraping this from cadvisor? What version? What is your prometheus distribution? (kube-prometheus-stack? other?) And do you have any metric_relabel_configs?

@wrbbz
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wrbbz commented May 24, 2024

Yeah

I'm using Prometheus installed in k8s cluster. Prom version in 2.45.2.
This metric has these labels: container_memory_working_set_bytes{container="", instance="", job="", namespace="", node="", pod="", scrape_endpoint="cadvisor", tier=""}

Also, there is a relabeling rules:

* Renamed labels:
  * pod_name -> pod
  * container_name -> container
* Dropped labels (id, image, name)
* Dropped metrics w/o labels pod, container or namespace

However, according to Kubernetes Metrics specification, container_memory_working_set_bytes has only three labels:
image

Also, according to the answer on stack overflow, there would not be any doubling due to excluded metrics without container label:

sum(container_memory_working_set_bytes{namespace="$namespace", pod=~"$pod", container!=""}) by (pod, job)

and

sum(container_memory_working_set_bytes{namespace="$namespace", pod=~"$pod", container=~"$container"}) by (container, pod, job)

Part of the answer:

There are multiple ways to fix the problem. For example, you can exclude metrics without container name by using container!="" label filter.

@wrbbz
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wrbbz commented Jun 3, 2024

@arikalon1, what do you think?

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