202 lines
7.1 KiB
Markdown
202 lines
7.1 KiB
Markdown
## Create ConfigMap
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ConfigMap is used to store the configuration of the operator
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```bash
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$ kubectl create -f manifests/configmap.yaml
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```
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## Deploying the operator
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First you need to install the service account definition in your Minikube cluster.
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```bash
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$ kubectl create -f manifests/operator-service-account-rbac.yaml
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```
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Next deploy the postgres-operator from the docker image Zalando is using:
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```bash
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$ kubectl create -f manifests/postgres-operator.yaml
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```
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If you prefer to build the image yourself follow up down below.
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## Check if CustomResourceDefinition has been registered
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```bash
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$ kubectl get crd
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NAME KIND
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postgresqls.acid.zalan.do CustomResourceDefinition.v1beta1.apiextensions.k8s.io
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```
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# How to configure PostgreSQL operator
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## Select the namespace to deploy to
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The operator can run in a namespace other than `default`. For example, to use
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the `test` namespace, run the following before deploying the operator's
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manifests:
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```bash
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$ kubectl create namespace test
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$ kubectl config set-context --namespace=test
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```
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All subsequent `kubectl` commands will work with the `test` namespace. The
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operator will run in this namespace and look up needed resources - such as its
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config map - there.
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## Specify the namespace to watch
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Watching a namespace for an operator means tracking requests to change
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Postgresql clusters in the namespace such as "increase the number of Postgresql
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replicas to 5" and reacting to the requests, in this example by actually
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scaling up.
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By default, the operator watches the namespace it is deployed to. You can
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change this by altering the `WATCHED_NAMESPACE` env var in the operator
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deployment manifest or the `watched_namespace` field in the operator configmap.
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In the case both are set, the env var takes the precedence. To make the
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operator listen to all namespaces, explicitly set the field/env var to "`*`".
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Note that for an operator to manage pods in the watched namespace, the
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operator's service account (as specified in the operator deployment manifest)
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has to have appropriate privileges to access the watched namespace. The
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operator may not be able to function in the case it watches all namespaces but
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lacks access rights to any of them (except Kubernetes system namespaces like
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`kube-system`). The reason is that for multiple namespaces operations such as
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'list pods' execute at the cluster scope and fail at the first violation of
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access rights.
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The watched namespace also needs to have a (possibly different) service account
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in the case database pods need to talk to the Kubernetes API (e.g. when using
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Kubernetes-native configuration of Patroni). The operator checks that the
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`pod_service_account_name` exists in the target namespace, and, if not, deploys
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there the `pod_service_account_definition` from the operator
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[`Config`](pkg/util/config/config.go) with the default value of:
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```yaml
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apiVersion: v1
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kind: ServiceAccount
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metadata:
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name: operator
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```
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In this definition, the operator overwrites the account's name to match
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`pod_service_account_name` and the `default` namespace to match the target
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namespace. The operator performs **no** further syncing of this account.
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## Role-based access control for the operator
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The `manifests/operator-rbac.yaml` defines cluster roles and bindings needed
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for the operator to function under access control restrictions. To deploy the
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operator with this RBAC policy use:
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```bash
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$ kubectl create -f manifests/configmap.yaml
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$ kubectl create -f manifests/operator-rbac.yaml
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$ kubectl create -f manifests/postgres-operator.yaml
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$ kubectl create -f manifests/minimal-postgres-manifest.yaml
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```
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Note that the service account in `operator-rbac.yaml` is named
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`zalando-postgres-operator`. You may have to change the `service_account_name`
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in the operator configmap and `serviceAccountName` in the postgres-operator
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deployment appropriately.
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This is done intentionally, as to avoid breaking those setups that already work
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with the default `operator` account. In the future the operator should ideally
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be run under the `zalando-postgres-operator` service account.
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The service account defined in `operator-rbac.yaml` acquires some privileges
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not really used by the operator (i.e. we only need list and watch on
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configmaps), this is also done intentionally to avoid breaking things if
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someone decides to configure the same service account in the operator's
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configmap to run postgres clusters.
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### Use taints and tolerations for dedicated PostgreSQL nodes
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To ensure Postgres pods are running on nodes without any other application
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pods, you can use
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[taints and tolerations](https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/)
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and configure the required toleration in the operator ConfigMap.
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As an example you can set following node taint:
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```bash
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$ kubectl taint nodes <nodeName> postgres=:NoSchedule
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```
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And configure the toleration for the PostgreSQL pods by adding following line
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to the ConfigMap:
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```yaml
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: postgres-operator
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data:
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toleration: "key:postgres,operator:Exists,effect:NoSchedule"
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...
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```
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## Custom Pod Environment Variables
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It is possible to configure a config map which is used by the Postgres pods as
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an additional provider for environment variables.
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One use case is to customize the Spilo image and configure it with environment
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variables. The config map with the additional settings is configured in the
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operator's main config map:
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**postgres-operator ConfigMap**
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```yaml
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: postgres-operator
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data:
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# referencing config map with custom settings
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pod_environment_configmap: postgres-pod-config
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...
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```
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**referenced ConfigMap `postgres-pod-config`**
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```yaml
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: postgres-pod-config
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namespace: default
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data:
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MY_CUSTOM_VAR: value
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```
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This ConfigMap is then added as a source of environment variables to the
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Postgres StatefulSet/pods.
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## Limiting the number of instances in clusters with `min_instances` and `max_instances`
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As a preventive measure, one can restrict the minimum and the maximum number of
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instances permitted by each Postgres cluster managed by the operator. If either
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`min_instances` or `max_instances` is set to a non-zero value, the operator may
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adjust the number of instances specified in the cluster manifest to match
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either the min or the max boundary. For instance, of a cluster manifest has 1
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instance and the min_instances is set to 3, the cluster will be created with 3
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instances. By default, both parameters are set to -1.
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## Load balancers
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For any Postgresql/Spilo cluster, the operator creates two separate k8s
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services: one for the master pod and one for replica pods. To expose these
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services to an outer network, one can attach load balancers to them by setting
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`enableMasterLoadBalancer` and/or `enableReplicaLoadBalancer` to `true` in the
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cluster manifest. In the case any of these variables are omitted from the
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manifest, the operator configmap's settings `enable_master_load_balancer` and
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`enable_replica_load_balancer` apply. Note that the operator settings affect
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all Postgresql services running in a namespace watched by the operator.
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