## Create a manifest for a new PostgreSQL cluster As an example you can take this [minimal example](https://github.com/zalando-incubator/postgres-operator/blob/master/manifests/minimal-postgres-manifest.yaml): ```yaml apiVersion: "acid.zalan.do/v1" kind: postgresql metadata: name: acid-minimal-cluster spec: teamId: "ACID" volume: size: 1Gi numberOfInstances: 2 users: # database owner zalando: - superuser - createdb # role for application foo foo_user: # or 'foo_user: []' #databases: name->owner databases: foo: zalando postgresql: version: "10" ``` ## Create a new Spilo cluster ```bash $ kubectl create -f manifests/minimal-postgres-manifest.yaml ``` ## Watch pods being created ```bash $ kubectl get pods -w --show-labels ``` ## Connect to PostgreSQL We can use the generated secret of the `postgres` robot user to connect to our `acid-minimal-cluster` master running in Minikube: ```bash $ export PGHOST=db_host $ export PGPORT=db_port $ export PGPASSWORD=$(kubectl get secret postgres.acid-minimal-cluster.credentials -o 'jsonpath={.data.password}' | base64 -d) $ psql -U postgres ``` # Defining database roles in the operator Postgres operator allows defining roles to be created in the resulting database cluster. It covers three use-cases: * create application roles specific to the cluster described in the manifest: `manifest roles`. * create application roles that should be automatically created on every cluster managed by the operator: `infrastructure roles`. * automatically create users for every member of the team owning the database cluster: `teams API roles`. In the next sections, we will cover those use cases in more details. ## Manifest roles Manifest roles are defined directly in the cluster manifest. See [minimal postgres manifest](https://github.com/zalando-incubator/postgres-operator/blob/master/manifests/minimal-postgres-manifest.yaml) for an example of `zalando` role, defined with `superuser` and `createdb` flags. Manifest roles are defined as a dictionary, with a role name as a key and a list of role options as a value. For a role without any options it is best to supply the empty list `[]`. It is also possible to leave this field empty as in our example manifests, but in certain cases such empty field may removed by Kubernetes [due to the `null` value it gets](https://kubernetes.io/docs/concepts/overview/object-management-kubectl/declarative-config/#how-apply-calculates-differences-and-merges-changes) (`foobar_user:` is equivalent to `foobar_user: null`). The operator accepts the following options: `superuser`, `inherit`, `login`, `nologin`, `createrole`, `createdb`, `replication`, `bypassrls`. By default, manifest roles are login roles (aka users), unless `nologin` is specified explicitly. The operator automatically generates a password for each manifest role and places it in the secret named `{username}.{team}-{clustername}.credentials.postgresql.acid.zalan.do` in the same namespace as the cluster. This way, the application running in the Kubernetes cluster and working with the database can obtain the password right from the secret, without ever sharing it outside of the cluster. At the moment it is not possible to define membership of the manifest role in other roles. ## Infrastructure roles An infrastructure role is a role that should be present on every PostgreSQL cluster managed by the operator. An example of such a role is a monitoring user. There are two ways to define them: * Exclusively via the infrastructure roles secret (specified by the `infrastructure_roles_secret_name` parameter). The role definition looks like this (values are base64 encoded): ```yaml user1: ZGJ1c2Vy password1: c2VjcmV0 inrole1: b3BlcmF0b3I= ``` A block above describes the infrastructure role 'dbuser' with the password 'secret' that is the member of the 'operator' role. For the following definitions one must increase the index, i.e. the next role will be defined as 'user2' and so on. Note that there is no way to specify role options (like superuser or nologin) this way, and the resulting role will automatically be a login role. * Via both the infrastructure roles secret and the infrastructure role configmap (with the same name as the infrastructure roles secret). The infrastructure roles secret should contain an entry with 'rolename: rolepassword' for each role, and the role description should be specified in the configmap. Below is the example: ```yaml dbuser: c2VjcmV0 ``` and the configmap definition for that user: ```yaml data: dbuser: | inrole: [operator, admin] # following roles will be assigned to the new user user_flags: - createdb db_parameters: # db parameters, applied for this particular user log_statement: all ``` Note that the definition above allows for more details than the one that relies solely on the infrastructure role secret. In particular, one can allow membership in multiple roles via the `inrole` array parameter, define role flags via the `user_flags` list and supply per-role options through the `db_parameters` dictionary. All those parameters are optional. The definitions that solely use the infrastructure roles secret are more limited and considered legacy ones; one should use the new style that specifies infrastructure roles using both the secret and the configmap. You can mix both in the infrastructure role secret, as long as your new-style definition can be clearly distinguished from the old-style one (for instance, do not name new-style roles`userN`). Since an infrastructure role is created uniformly on all clusters managed by the operator, it makes no sense to define it without the password. Such definitions will be ignored with a prior warning. See [infrastructure roles secret](https://github.com/zalando-incubator/postgres-operator/blob/master/manifests/infrastructure-roles.yaml) and [infrastructure roles configmap](https://github.com/zalando-incubator/postgres-operator/blob/master/manifests/infrastructure-roles-configmap.yaml) for the examples. ## Use taints and tolerations for dedicated PostgreSQL nodes To ensure Postgres pods are running on nodes without any other application pods, you can use [taints and tolerations](https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/) and configure the required toleration in the manifest. ```yaml apiVersion: "acid.zalan.do/v1" kind: postgresql metadata: name: acid-minimal-cluster spec: teamId: "ACID" tolerations: - key: postgres operator: Exists effect: NoSchedule ``` ## How to clone an existing PostgreSQL cluster You can spin up a new cluster as a clone of the existing one, using a clone section in the spec. There are two options here: * Clone directly from a source cluster using `pg_basebackup` * Clone from an S3 bucket ### Clone directly ```yaml apiVersion: "acid.zalan.do/v1" kind: postgresql metadata: name: acid-test-cluster spec: clone: cluster: "acid-batman" ``` Here `cluster` is a name of a source cluster that is going to be cloned. The cluster to clone is assumed to be running and the clone procedure invokes `pg_basebackup` from it. The operator will setup the cluster to be cloned to connect to the service of the source cluster by name (if the cluster is called test, then the connection string will look like host=test port=5432), which means that you can clone only from clusters within the same namespace. ### Clone from S3 ```yaml apiVersion: "acid.zalan.do/v1" kind: postgresql metadata: name: acid-test-cluster spec: clone: uid: "efd12e58-5786-11e8-b5a7-06148230260c" cluster: "acid-batman" timestamp: "2017-12-19T12:40:33+01:00" ``` Here `cluster` is a name of a source cluster that is going to be cloned. A new cluster will be cloned from S3, using the latest backup before the `timestamp`. In this case, `uid` field is also mandatory - operator will use it to find a correct key inside an S3 bucket. You can find this field from metadata of a source cluster: ```yaml apiVersion: acid.zalan.do/v1 kind: postgresql metadata: name: acid-test-cluster uid: efd12e58-5786-11e8-b5a7-06148230260c ``` Note that timezone is required for `timestamp`. Otherwise, offset is relative to UTC, see [RFC 3339 section 5.6) 3339 section 5.6](https://www.ietf.org/rfc/rfc3339.txt). ## Sidecar Support Each cluster can specify arbitrary sidecars to run. These containers could be used for log aggregation, monitoring, backups or other tasks. A sidecar can be specified like this: ```yaml apiVersion: "acid.zalan.do/v1" kind: postgresql metadata: name: acid-minimal-cluster spec: ... sidecars: - name: "container-name" image: "company/image:tag" env: - name: "ENV_VAR_NAME" value: "any-k8s-env-things" ``` In addition to any environment variables you specify, the following environment variables are always passed to sidecars: - `POD_NAME` - field reference to `metadata.name` - `POD_NAMESPACE` - field reference to `metadata.namespace` - `POSTGRES_USER` - the superuser that can be used to connect to the database - `POSTGRES_PASSWORD` - the password for the superuser The PostgreSQL volume is shared with sidecars and is mounted at `/home/postgres/pgdata`. ## Increase volume size PostgreSQL operator supports statefulset volume resize if you're using the operator on top of AWS. For that you need to change the size field of the volume description in the cluster manifest and apply the change: ``` apiVersion: "acid.zalan.do/v1" kind: postgresql metadata: name: acid-test-cluster spec: volume: size: 5Gi # new volume size ``` The operator compares the new value of the size field with the previous one and acts on differences. You can only enlarge the volume with the process described above, shrinking is not supported and will emit a warning. After this update all the new volumes in the statefulset are allocated according to the new size. To enlarge persistent volumes attached to the running pods, the operator performs the following actions: * call AWS API to change the volume size * connect to the pod using `kubectl exec` and resize the filesystem with `resize2fs`. Fist step has a limitation, AWS rate-limits this operation to no more than once every 6 hours. Note that if the statefulset is scaled down before resizing the size changes are only applied to the volumes attached to the running pods. The size of the volumes that correspond to the previously running pods is not changed.