Performing advanced builds

By default, builds are completed by pods using unbound resources, such as memory and CPU. These resources can be limited.

Procedure

You can limit resource use in two ways:

Limit resource use by specifying resource limits in the default container limits of a project.
Limit resource use by specifying resource limits as part of the build configuration. ** In the following example, each of the , cpu, and memory parameters are optional:

However, if a quota has been defined for your project, one of the following two items is required:
- A resources section set with an explicit requests:
```
resources:
  requests: (1)
    cpu: "100m"
    memory: "256Mi"
```
  1 The requests object contains the list of resources that correspond to the list of resources in the quota.
- A limit range defined in your project, where the defaults from the LimitRange object apply to pods created during the build process.
  
  Otherwise, build pod creation will fail, citing a failure to satisfy quota.

Setting maximum duration

When defining a BuildConfig object, you can define its maximum duration by setting the completionDeadlineSeconds field. It is specified in seconds and is not set by default. When not set, there is no maximum duration enforced.

The maximum duration is counted from the time when a build pod gets scheduled in the system, and defines how long it can be active, including the time needed to pull the builder image. After reaching the specified timeout, the build is terminated by OKD.

Procedure

This setting is not supported with the Pipeline Strategy option.

Builds can be targeted to run on specific nodes by specifying labels in the nodeSelector field of a build configuration. The nodeSelector value is a set of key-value pairs that are matched to Node labels when scheduling the build pod.

The nodeSelector value can also be controlled by cluster-wide default and override values. Defaults will only be applied if the build configuration does not define any key-value pairs for the nodeSelector and also does not define an explicitly empty map value of nodeSelector:{}. Override values will replace values in the build configuration on a key by key basis.

Procedure

Assign builds to run on specific nodes by assigning labels in the nodeSelector field of the BuildConfig, for example:
```
apiVersion: "v1"
  name: "sample-build"
spec:
  nodeSelector:(1)
    key1: value1
    key2: value2
```
1 Builds associated with this build configuration will run only on nodes with the key1=value2 and key2=value2 labels.

Chained builds

For compiled languages such as Go, C, C++, and Java, including the dependencies necessary for compilation in the application image might increase the size of the image or introduce vulnerabilities that can be exploited.

To avoid these problems, two builds can be chained together. One build that produces the compiled artifact, and a second build that places that artifact in a separate image that runs the artifact.

In the following example, a source-to-image (S2I) build is combined with a docker build to compile an artifact that is then placed in a separate runtime image.

Although this example chains a S2I build and a docker build, the first build can use any strategy that produces an image containing the desired artifacts, and the second build can use any strategy that can consume input content from an image.

The first build takes the application source and produces an image containing a WAR file. The image is pushed to the artifact-image image stream. The path of the output artifact depends on the assemble script of the S2I builder used. In this case, it is output to /wildfly/standalone/deployments/ROOT.war.

The second build uses image source with a path to the WAR file inside the output image from the first build. An inline dockerfile copies that WAR file into a runtime image.

apiVersion: v1
kind: BuildConfig
metadata:
  name: image-build
spec:
  output:
    to:
      kind: ImageStreamTag
      name: image-build:latest
  source:
    dockerfile: |-
      FROM jee-runtime:latest
      COPY ROOT.war /deployments/ROOT.war
    - from: (1)
        kind: ImageStreamTag
        name: artifact-image:latest
      - sourcePath: /wildfly/standalone/deployments/ROOT.war
        destinationDir: "."
  strategy:
    dockerStrategy:
      from: (3)
        kind: ImageStreamTag
        name: jee-runtime:latest
  triggers:
  - imageChange: {}
    type: ImageChange

By default, builds that have completed their lifecycle are persisted indefinitely. You can limit the number of previous builds that are retained.

Procedure

Limit the number of previous builds that are retained by supplying a positive integer value for successfulBuildsHistoryLimit or failedBuildsHistoryLimit in your BuildConfig, for example:

1 successfulBuildsHistoryLimit will retain up to two builds with a status of completed.
2 failedBuildsHistoryLimit will retain up to two builds with a status of failed, canceled, or error.
Trigger build pruning by one of the following actions:
- Updating a build configuration.
- Waiting for a build to complete its lifecycle.

Builds are sorted by their creation timestamp with the oldest builds being pruned first.

Administrators can manually prune builds using the ‘oc adm’ object pruning command.

Build run policy

The build run policy describes the order in which the builds created from the build configuration should run. This can be done by changing the value of the runPolicy field in the spec section of the Build specification.

It is also possible to change the runPolicy value for existing build configurations, by:

Changing Serial to and triggering a new build causes cancellation of all existing builds in queue, except the currently running build and the most recently created build. The newest build runs next.

1	`successfulBuildsHistoryLimit` will retain up to two builds with a status of `completed`.
2	`failedBuildsHistoryLimit` will retain up to two builds with a status of `failed`, `canceled`, or `error`.