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Garbage Collection

Overview

The OpenShift Enterprise node performs two types of garbage collection:

Container Garbage Collection

The policy for container garbage collection is based on three node settings:

Setting Description

minimum-container-ttl-duration

The minimum age that a container is eligible for garbage collection. The default is 1m (one minute). Use 0 for no limit. Values for this setting can be specified using unit suffixes such as h for hour, m for minutes, s for seconds.

maximum-dead-containers-per-container

The number of instances to retain per pod container. The default is 2.

maximum-dead-containers

The maximum number of total dead containers in the node. The default is 100.

The maximum-dead-containers setting takes precedence over the maximum-dead-containers-per-container setting when there is a conflict. For example, if retaining the number of maximum-dead-containers-per-container would result in a total number of containers that is greater than maximum-dead-containers, the oldest containers will be removed to satisfy the maximum-dead-containers limit.

When the node removes the dead containers, all files inside those containers are removed as well. Only containers created by the node will be garbage collected.

You can specify values for these settings in the kubeletArguments section of the /etc/origin/node/node-config.yaml file on node hosts. Add the section if it does not already exist:

Container Garbage Collection Settings
kubeletArguments:
  minimum-container-ttl-duration:
    - "10s"
  maximum-dead-containers-per-container:
    - "2"
  maximum-dead-containers:
    - "100"

Detecting Containers for Deletion

Each spin of the garbage collector loop goes through the following steps:

  1. Retrieve a list of available containers.

  2. Filter out all containers that are running or are not alive longer than the minimum-container-ttl-duration parameter.

  3. Classify all remaining containers into equivalence classes based on pod and image name membership.

  4. Remove all unidentified containers (containers that are managed by kubelet but their name is malformed).

  5. For each class that contains more containers than the maximum-dead-containers-per-container parameter, sort containers in the class by creation time.

  6. Start removing containers from the oldest first until the maximum-dead-containers-per-container parameter is met.

  7. If there are still more containers in the list than the maximum-dead-containers parameter, the collector starts removing containers from each class so the number of containers in each one is not greater than the average number of containers per class, or <all_remaining_containers>/<number_of_classes>.

  8. If this is still not enough, sort all containers in the list and start removing containers from the oldest first until the maximum-dead-containers criterion is met.

Image Garbage Collection

Image garbage collection relies on disk usage as reported by cAdvisor on the node to decide which images to remove from the node. It takes the following settings into consideration:

Setting Description

image-gc-high-threshold

The percent of disk usage (expressed as an integer) which triggers image garbage collection. The default is 90.

image-gc-low-threshold

The percent of disk usage (expressed as an integer) to which image garbage collection attempts to free. Default is 80.

You can specify values for these settings in the kubeletArguments section of the /etc/origin/node/node-config.yaml file on node hosts. Add the section if it does not already exist:

Image Garbage Collection Settings
kubeletArguments:
  image-gc-high-threshold:
    - "90"
  image-gc-low-threshold:
    - "80"

Detecting Images for Deletion

Two lists of images are retrieved in each garbage collector run:

  1. A list of images currently running in at least one pod

  2. A list of images available on a host

As new containers are run, new images appear. All images are marked with a time stamp. If the image is running (the first list above) or is newly detected (the second list above), it is marked with the current time. The remaining images are already marked from the previous spins. All images are then sorted by the time stamp.

Once the collection starts, the oldest images get deleted first until the stopping criterion is met.