If you are using a released version of Kubernetes, you should refer to the docs that go with that version.
Documentation for other releases can be found at releases.k8s.io.
The ConfigMap
API resource stores data used for the configuration of applications deployed on
Kubernetes.
The main focus of this resource is to:
- Provide dynamic distribution of configuration data to deployed applications.
- Encapsulate configuration information and simplify
Kubernetes
deployments. - Create a flexible configuration model for
Kubernetes
.
A Secret
-like API resource is needed to store configuration data that pods can consume.
Goals of this design:
- Describe a
ConfigMap
API resource - Describe the semantics of consuming
ConfigMap
as environment variables - Describe the semantics of consuming
ConfigMap
as files in a volume
- As a user, I want to be able to consume configuration data as environment variables
- As a user, I want to be able to consume configuration data as files in a volume
- As a user, I want my view of configuration data in files to be eventually consistent with changes to the data
Many programs read their configuration from environment variables. ConfigMap
should be possible
to consume in environment variables. The rough series of events for consuming ConfigMap
this way
is:
- A
ConfigMap
object is created - A pod that consumes the configuration data via environment variables is created
- The pod is scheduled onto a node
- The kubelet retrieves the
ConfigMap
resource(s) referenced by the pod and starts the container processes with the appropriate data in environment variables
Many programs read their configuration from configuration files. ConfigMap
should be possible
to consume in a volume. The rough series of events for consuming ConfigMap
this way
is:
- A
ConfigMap
object is created - A new pod using the
ConfigMap
via the volume plugin is created - The pod is scheduled onto a node
- The Kubelet creates an instance of the volume plugin and calls its
Setup()
method - The volume plugin retrieves the
ConfigMap
resource(s) referenced by the pod and projects the appropriate data into the volume
Any long-running system has configuration that is mutated over time. Changes made to configuration data must be made visible to pods consuming data in volumes so that they can respond to those changes.
The resourceVersion
of the ConfigMap
object will be updated by the API server every time the
object is modified. After an update, modifications will be made visible to the consumer container:
- A
ConfigMap
object is created - A new pod using the
ConfigMap
via the volume plugin is created - The pod is scheduled onto a node
- During the sync loop, the Kubelet creates an instance of the volume plugin and calls its
Setup()
method - The volume plugin retrieves the
ConfigMap
resource(s) referenced by the pod and projects the appropriate data into the volume - The
ConfigMap
referenced by the pod is updated - During the next iteration of the
syncLoop
, the Kubelet creates an instance of the volume plugin and calls itsSetup()
method - The volume plugin projects the updated data into the volume atomically
It is the consuming pod's responsibility to make use of the updated data once it is made visible.
Because environment variables cannot be updated without restarting a container, configuration data consumed in environment variables will not be updated.
- Easy to consume in pods; consumer-agnostic
- Configuration data is persistent and versioned
- Consumers of configuration data in volumes can respond to changes in the data
The ConfigMap
resource will be added to the main API:
package api
// ConfigMap holds configuration data for pods to consume.
type ConfigMap struct {
TypeMeta `json:",inline"`
ObjectMeta `json:"metadata,omitempty"`
// Data contains the configuration data. Each key must be a valid DNS_SUBDOMAIN or leading
// dot followed by valid DNS_SUBDOMAIN.
Data map[string]string `json:"data,omitempty"`
}
type ConfigMapList struct {
TypeMeta `json:",inline"`
ListMeta `json:"metadata,omitempty"`
Items []ConfigMap `json:"items"`
}
A Registry
implementation for ConfigMap
will be added to pkg/registry/configmap
.
The EnvVarSource
will be extended with a new selector for ConfigMap
:
package api
// EnvVarSource represents a source for the value of an EnvVar.
type EnvVarSource struct {
// other fields omitted
// Specifies a ConfigMap key
ConfigMap *ConfigMapSelector `json:"configMap,omitempty"`
}
// ConfigMapSelector selects a key of a ConfigMap.
type ConfigMapSelector struct {
// The name of the ConfigMap to select a key from.
ConfigMapName string `json:"configMapName"`
// The key of the ConfigMap to select.
Key string `json:"key"`
}
A new ConfigMapVolumeSource
type of volume source containing the ConfigMap
object will be
added to the VolumeSource
struct in the API:
package api
type VolumeSource struct {
// other fields omitted
ConfigMap *ConfigMapVolumeSource `json:"configMap,omitempty"`
}
// Represents a volume that holds configuration data.
type ConfigMapVolumeSource struct {
LocalObjectReference `json:",inline"`
// A list of keys to project into the volume.
// If unspecified, each key-value pair in the Data field of the
// referenced ConfigMap will be projected into the volume as a file whose name
// is the key and content is the value.
// If specified, the listed keys will be project into the specified paths, and
// unlisted keys will not be present.
Items []KeyToPath `json:"items,omitempty"`
}
// Represents a mapping of a key to a relative path.
type KeyToPath struct {
// The name of the key to select
Key string `json:"key"`
// The relative path name of the file to be created.
// Must not be absolute or contain the '..' path. Must be utf-8 encoded.
// The first item of the relative path must not start with '..'
Path string `json:"path"`
}
Note: The update logic used in the downward API volume plug-in will be extracted and re-used in
the volume plug-in for ConfigMap
.
We will update the Secret volume plugin to have a similar API to the new ConfigMap volume plugin. The secret volume plugin will also begin updating secret content in the volume when secrets change.
apiVersion: v1
kind: ConfigMap
metadata:
name: etcd-env-config
data:
number-of-members: 1
initial-cluster-state: new
initial-cluster-token: DUMMY_ETCD_INITIAL_CLUSTER_TOKEN
discovery-token: DUMMY_ETCD_DISCOVERY_TOKEN
discovery-url: http://etcd-discovery:2379
etcdctl-peers: http://etcd:2379
This pod consumes the ConfigMap
as environment variables:
apiVersion: v1
kind: Pod
metadata:
name: config-env-example
spec:
containers:
- name: etcd
image: openshift/etcd-20-centos7
ports:
- containerPort: 2379
protocol: TCP
- containerPort: 2380
protocol: TCP
env:
- name: ETCD_NUM_MEMBERS
valueFrom:
configMap:
configMapName: etcd-env-config
key: number-of-members
- name: ETCD_INITIAL_CLUSTER_STATE
valueFrom:
configMap:
configMapName: etcd-env-config
key: initial-cluster-state
- name: ETCD_DISCOVERY_TOKEN
valueFrom:
configMap:
configMapName: etcd-env-config
key: discovery-token
- name: ETCD_DISCOVERY_URL
valueFrom:
configMap:
configMapName: etcd-env-config
key: discovery-url
- name: ETCDCTL_PEERS
valueFrom:
configMap:
configMapName: etcd-env-config
key: etcdctl-peers
redis-volume-config
is intended to be used as a volume containing a config file:
apiVersion: extensions/v1beta1
kind: ConfigMap
metadata:
name: redis-volume-config
data:
redis.conf: "pidfile /var/run/redis.pid\nport6379\ntcp-backlog 511\n databases 1\ntimeout 0\n"
The following pod consumes the redis-volume-config
in a volume:
apiVersion: v1
kind: Pod
metadata:
name: config-volume-example
spec:
containers:
- name: redis
image: kubernetes/redis
command: "redis-server /mnt/config-map/etc/redis.conf"
ports:
- containerPort: 6379
volumeMounts:
- name: config-map-volume
mountPath: /mnt/config-map
volumes:
- name: config-map-volume
configMap:
name: redis-volume-config
items:
- path: "etc/redis.conf"
key: redis.conf
In the future, we may add the ability to specify an init-container that can watch the volume contents for updates and respond to changes when they occur.