<h1>User Guide</h1>

Learn how to work with the Postgres Operator in a Kubernetes (K8s) environment.

## Create a manifest for a new PostgreSQL cluster

Make sure you have [set up](quickstart.md) the operator. Then you can create a
new Postgres cluster by applying manifest like this [minimal example](../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: "12"
```

Once you cloned the Postgres Operator [repository](https://github.com/zalando/postgres-operator)
you can find this example also in the manifests folder:

```bash
kubectl create -f manifests/minimal-postgres-manifest.yaml
```

Make sure, the `spec` section of the manifest contains at least a `teamId`, the
`numberOfInstances` and the `postgresql` object with the `version` specified.
The minimum volume size to run the `postgresql` resource on Elastic Block
Storage (EBS) is `1Gi`.

Note, that the name of the cluster must start with the `teamId` and `-`. At
Zalando we use team IDs (nicknames) to lower the chance of duplicate cluster
names and colliding entities. The team ID would also be used to query an API to
get all members of a team and create [database roles](#teams-api-roles) for
them. Besides, the maximum cluster name length is 53 characters.

## Watch pods being created

Check if the database pods are coming up. Use the label `application=spilo` to
filter and list the label `spilo-role` to see when the master is promoted and
replicas get their labels.

```bash
kubectl get pods -l application=spilo -L spilo-role -w
```

The operator also emits K8s events to the Postgresql CRD which can be inspected
in the operator logs or with:

```bash
kubectl describe postgresql acid-minimal-cluster
```

## Connect to PostgreSQL

With a `port-forward` on one of the database pods (e.g. the master) you can
connect to the PostgreSQL database. Use labels to filter for the master pod of
our test cluster.

```bash
# get name of master pod of acid-minimal-cluster
export PGMASTER=$(kubectl get pods -o jsonpath={.items..metadata.name} -l application=spilo,cluster-name=acid-minimal-cluster,spilo-role=master)

# set up port forward
kubectl port-forward $PGMASTER 6432:5432
```

Open another CLI and connect to the database. Use the generated secret of the
`postgres` robot user to connect to our `acid-minimal-cluster` master running
in Minikube. As non-encrypted connections are rejected by default set the SSL
mode to require:

```bash
export PGPASSWORD=$(kubectl get secret postgres.acid-minimal-cluster.credentials -o 'jsonpath={.data.password}' | base64 -d)
export PGSSLMODE=require
psql -U postgres -p 6432
```

## Defining database roles in the operator

Postgres Operator allows defining roles to be created in the resulting database
cluster. It covers three use-cases:

* `manifest roles`: create application roles specific to the cluster described
in the manifest.
* `infrastructure roles`: create application roles that should be automatically
created on every cluster managed by the operator.
* `teams API roles`: automatically create users for every member of the team
owning the database cluster.

In the next sections, we will cover those use cases in more details. Note, that
the Postgres Operator can also create databases with pre-defined owner, reader
and writer roles which saves you the manual setup. Read more in the next
chapter.

### Manifest roles

Manifest roles are defined directly in the cluster manifest. See
[minimal postgres manifest](../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. In certain cases such empty field may be missing later
removed by K8s [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
K8s cluster and connecting to Postgres 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:

* With the infrastructure roles secret only
* With both the the secret and the infrastructure role ConfigMap.

#### Infrastructure roles secret

Infrastructure roles can be specified by the `infrastructure_roles_secrets`
parameter where you can reference multiple existing secrets. Prior to `v1.6.0`
the operator could only reference one secret with the
`infrastructure_roles_secret_name` option. However, this secret could contain
multiple roles using the same set of keys plus incrementing index.

```yaml
apiVersion: v1
kind: Secret
metadata:
  name: postgresql-infrastructure-roles
data:
  user1: ZGJ1c2Vy
  password1: c2VjcmV0
  inrole1: b3BlcmF0b3I=
  user2: ...
```

The block above describes the infrastructure role 'dbuser' with password
'secret' that is a member of the 'operator' role. The resulting role will
automatically be a login role.

With the new option users can configure the names of secret keys that contain
the user name, password etc. The secret itself is referenced by the
`secretname` key. If the secret uses a template for multiple roles as described
above list them separately.

```yaml
apiVersion: v1
kind: OperatorConfiguration
metadata:
  name: postgresql-operator-configuration
configuration:
  kubernetes:
    infrastructure_roles_secrets:
    - secretname: "postgresql-infrastructure-roles"
      userkey: "user1"
      passwordkey: "password1"
      rolekey: "inrole1"
    - secretname: "postgresql-infrastructure-roles"
      userkey: "user2"
      ...
```

Note, only the CRD-based configuration allows for referencing multiple secrets.
As of now, the ConfigMap is restricted to either one or the existing template
option with `infrastructure_roles_secret_name`. Please, refer to the example
manifests to understand how `infrastructure_roles_secrets` has to be configured
for the [configmap](../manifests/configmap.yaml) or [CRD configuration](../manifests/postgresql-operator-default-configuration.yaml).

If both `infrastructure_roles_secret_name` and `infrastructure_roles_secrets`
are defined the operator will create roles for both of them. So make sure,
they do not collide. Note also, that with definitions that solely use the
infrastructure roles secret there is no way to specify role options (like
superuser or nologin) or role memberships. This is where the additional
ConfigMap comes into play.

#### Secret plus ConfigMap

A [ConfigMap](https://kubernetes.io/docs/tasks/configure-pod-container/configure-pod-configmap/)
allows for defining more details regarding the infrastructure roles. Therefore,
one should use the new style that specifies infrastructure roles using both the
secret and a ConfigMap. The ConfigMap must have the same name as the secret.
The secret should contain an entry with 'rolename:rolepassword' for each role.

```yaml
dbuser: c2VjcmV0
```

And the role description for that user should be specified in the ConfigMap.

```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
```

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.

Both definitions can be mixed 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](../manifests/infrastructure-roles.yaml)
and [infrastructure roles configmap](../manifests/infrastructure-roles-configmap.yaml)
for the examples.

### Teams API roles

These roles are meant for database activity of human users. It's possible to
configure the operator to automatically create database roles for lets say all
employees of one team. They are not listed in the manifest and there are no K8s
secrets created for them. Instead they would use an OAuth2 token to connect. To
get all members of the team the operator queries a defined API endpoint that
returns usernames. A minimal Teams API should work like this:

```
/.../<teamname> -> ["name","anothername"]
```

A ["fake" Teams API](../manifests/fake-teams-api.yaml) deployment is provided
in the manifests folder to set up a basic API around whatever services is used
for user management. The Teams API's URL is set in the operator's
[configuration](reference/operator_parameters.md#automatic-creation-of-human-users-in-the-database)
and `enable_teams_api` must be set to `true`. There are more settings available
to choose superusers, group roles, [PAM configuration](https://github.com/CyberDem0n/pam-oauth2)
etc. An OAuth2 token can be passed to the Teams API via a secret. The name for
this secret is configurable with the `oauth_token_secret_name` parameter.

### Additional teams and members per cluster

Postgres clusters are associated with one team by providing the `teamID` in
the manifest. Additional superuser teams can be configured as mentioned in
the previous paragraph. However, this is a global setting. To assign
additional teams, superuser teams and single users to clusters of a given
team, use the [PostgresTeam CRD](../manifests/postgresteam.yaml). It provides
a simple mapping structure.


```yaml
apiVersion: "acid.zalan.do/v1"
kind: PostgresTeam
metadata:
  name: custom-team-membership
spec:
  additionalSuperuserTeams:
    acid:
    - "postgres_superusers"
  additionalTeams:
    acid: []
  additionalMembers:
    acid:
    - "elephant"
```

One `PostgresTeam` resource could contain mappings of multiple teams but you
can choose to create separate CRDs, alternatively. On each CRD creation or
update the operator will gather all mappings to create additional human users
in databases the next time they are synced. Additional teams are resolved
transitively, meaning you will also add users for their `additionalTeams`
or (not and) `additionalSuperuserTeams`.

For each additional team the Teams API would be queried. Additional members
will be added either way. There can be "virtual teams" that do not exists in
your Teams API but users of associated teams as well as members will get
created. With `PostgresTeams` it's also easy to cover team name changes. Just
add the mapping between old and new team name and the rest can stay the same.

```yaml
apiVersion: "acid.zalan.do/v1"
kind: PostgresTeam
metadata:
  name: virtualteam-membership
spec:
  additionalSuperuserTeams:
    acid:
    - "virtual_superusers"
    virtual_superusers:
    - "real_teamA"
    - "real_teamB"
    real_teamA:
    - "real_teamA_renamed"
  additionalTeams:
    real_teamA:
    - "real_teamA_renamed"
  additionalMembers:
    virtual_superusers:
    - "foo"
```

Note, by default the `PostgresTeam` support is disabled in the configuration.
Switch `enable_postgres_team_crd` flag to `true` and the operator will start to
watch for this CRD. Make sure, the cluster role is up to date and contains a
section for [PostgresTeam](../manifests/operator-service-account-rbac.yaml#L30).

## Prepared databases with roles and default privileges

The `users` section in the manifests only allows for creating database roles
with global privileges. Fine-grained data access control or role membership can
not be defined and must be set up by the user in the database. But, the Postgres
Operator offers a separate section to specify `preparedDatabases` that will be
created with pre-defined owner, reader and writer roles for each individual
database and, optionally, for each database schema, too. `preparedDatabases`
also enable users to specify PostgreSQL extensions that shall be created in a
given database schema.

### Default database and schema

A prepared database is already created by adding an empty `preparedDatabases`
section to the manifest. The database will then be called like the Postgres
cluster manifest (`-` are replaced with `_`) and will also contain a schema
called `data`.

```yaml
spec:
  preparedDatabases: {}
```

### Default NOLOGIN roles

Given an example with a specified database and schema:

```yaml
spec:
  preparedDatabases:
    foo:
      schemas:
        bar: {}
```

Postgres Operator will create the following NOLOGIN roles:

| Role name      | Member of      | Admin         |
| -------------- | -------------- | ------------- |
| foo_owner      |                | admin         |
| foo_reader     |                | foo_owner     |
| foo_writer     | foo_reader     | foo_owner     |
| foo_bar_owner  |                | foo_owner     |
| foo_bar_reader |                | foo_bar_owner |
| foo_bar_writer | foo_bar_reader | foo_bar_owner |

The `<dbname>_owner` role is the database owner and should be used when creating
new database objects. All members of the `admin` role, e.g. teams API roles, can
become the owner with the `SET ROLE` command. [Default privileges](https://www.postgresql.org/docs/12/sql-alterdefaultprivileges.html)
are configured for the owner role so that the `<dbname>_reader` role
automatically gets read-access (SELECT) to new tables and sequences and the
`<dbname>_writer` receives write-access (INSERT, UPDATE, DELETE on tables,
USAGE and UPDATE on sequences). Both get USAGE on types and EXECUTE on
functions.

The same principle applies for database schemas which are owned by the
`<dbname>_<schema>_owner` role. `<dbname>_<schema>_reader` is read-only,
`<dbname>_<schema>_writer` has write access and inherit reading from the reader
role. Note, that the `<dbname>_*` roles have access incl. default privileges on
all schemas, too. If you don't need the dedicated schema roles - i.e. you only
use one schema - you can disable the creation like this:

```yaml
spec:
  preparedDatabases:
    foo:
      schemas:
        bar:
          defaultRoles: false
```

Then, the schemas are owned by the database owner, too.

### Default LOGIN roles

The roles described in the previous paragraph can be granted to LOGIN roles from
the `users` section in the manifest. Optionally, the Postgres Operator can also
create default LOGIN roles for the database an each schema individually. These
roles will get the `_user` suffix and they inherit all rights from their NOLOGIN
counterparts.

| Role name           | Member of      | Admin         |
| ------------------- | -------------- | ------------- |
| foo_owner_user      | foo_owner      | admin         |
| foo_reader_user     | foo_reader     | foo_owner     |
| foo_writer_user     | foo_writer     | foo_owner     |
| foo_bar_owner_user  | foo_bar_owner  | foo_owner     |
| foo_bar_reader_user | foo_bar_reader | foo_bar_owner |
| foo_bar_writer_user | foo_bar_writer | foo_bar_owner |

These default users are enabled in the manifest with the `defaultUsers` flag:

```yaml
spec:
  preparedDatabases:
    foo:
      defaultUsers: true
      schemas:
        bar:
          defaultUsers: true
```

### Database extensions

Prepared databases also allow for creating Postgres extensions. They will be
created by the database owner in the specified schema.

```yaml
spec:
  preparedDatabases:
    foo:
      extensions:
        pg_partman: public
        postgis: data
```

Some extensions require SUPERUSER rights on creation unless they are not
whitelisted by the [pgextwlist](https://github.com/dimitri/pgextwlist)
extension, that is shipped with the Spilo image. To see which extensions are
on the list check the `extwlist.extension` parameter in the postgresql.conf
file.

```bash
SHOW extwlist.extensions;
```

Make sure that `pgextlist` is also listed under `shared_preload_libraries` in
the PostgreSQL configuration. Then the database owner should be able to create
the extension specified in the manifest.

### From `databases` to `preparedDatabases`

If you wish to create the role setup described above for databases listed under
the `databases` key, you have to make sure that the owner role follows the
`<dbname>_owner` naming convention of `preparedDatabases`. As roles are synced
first, this can be done with one edit:

```yaml
# before
spec:
  databases:
    foo: db_owner

# after
spec:
  databases:
    foo: foo_owner
  preparedDatabases:
    foo:
      schemas:
        my_existing_schema: {}
```

Adding existing database schemas to the manifest to create roles for them as
well is up the user and not done by the operator. Remember that if you don't
specify any schema a new database schema called `data` will be created. When
everything got synced (roles, schemas, extensions), you are free to remove the
database from the `databases` section. Note, that the operator does not delete
database objects or revoke privileges when removed from the manifest.

## Resource definition

The compute resources to be used for the Postgres containers in the pods can be
specified in the postgresql cluster manifest.

```yaml
spec:
  resources:
    requests:
      cpu: 10m
      memory: 100Mi
    limits:
      cpu: 300m
      memory: 300Mi
```

The minimum limits to properly run the `postgresql` resource are configured to
`250m` for `cpu` and `250Mi` for `memory`. If a lower value is set in the
manifest the operator will raise the limits to the configured minimum values.
If no resources are defined in the manifest they will be obtained from the
configured [default requests](reference/operator_parameters.md#kubernetes-resource-requests).

## 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
spec:
  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 from an S3 bucket (recommended)
* Clone directly from a source cluster

Note, that cloning can also be used for [major version upgrades](administrator.md#minor-and-major-version-upgrade)
of PostgreSQL.

### Clone from S3

Cloning from S3 has the advantage that there is no impact on your production
database. A new Postgres cluster is created by restoring the data of another
source cluster. If you create it in the same Kubernetes environment, use a
different name.

```yaml
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`.
Note, that a time zone is required for `timestamp` in the format of +00:00 which
is UTC. The `uid` field is also mandatory. The operator will use it to find a
correct key inside an S3 bucket. You can find this field in the metadata of the
source cluster:

```yaml
apiVersion: acid.zalan.do/v1
kind: postgresql
metadata:
  name: acid-test-cluster
  uid: efd12e58-5786-11e8-b5a7-06148230260c
```

For non AWS S3 following settings can be set to support cloning from other S3
implementations:

```yaml
spec:
  clone:
    uid: "efd12e58-5786-11e8-b5a7-06148230260c"
    cluster: "acid-batman"
    timestamp: "2017-12-19T12:40:33+01:00"
    s3_endpoint: https://s3.acme.org
    s3_access_key_id: 0123456789abcdef0123456789abcdef
    s3_secret_access_key: 0123456789abcdef0123456789abcdef
    s3_force_path_style: true
```

### Clone directly

Another way to get a fresh copy of your source DB cluster is via basebackup. To
use this feature simply leave out the timestamp field from the clone section.
The operator will 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.

```yaml
spec:
  clone:
    cluster: "acid-batman"
```

Be aware that on a busy source database this can result in an elevated load!

## Setting up a standby cluster

Standby cluster is a [Patroni feature](https://github.com/zalando/patroni/blob/master/docs/replica_bootstrap.rst#standby-cluster)
that first clones a database, and keeps replicating changes afterwards. As the
replication is happening by the means of archived WAL files (stored on S3 or
the equivalent of other cloud providers), the standby cluster can exist in a
different location than its source database. Unlike cloning, the PostgreSQL
version between source and target cluster has to be the same.

To start a cluster as standby, add the following `standby` section in the YAML
file and specify the S3 bucket path. An empty path will result in an error and
no statefulset will be created.

```yaml
spec:
  standby:
    s3_wal_path: "s3 bucket path to the master"
```

At the moment, the operator only allows to stream from the WAL archive of the
master. Thus, it is recommended to deploy standby clusters with only [one pod](../manifests/standby-manifest.yaml#L10).
You can raise the instance count when detaching. Note, that the same pod role
labels like for normal clusters are used: The standby leader is labeled as
`master`.

### Providing credentials of source cluster

A standby cluster is replicating the data (including users and passwords) from
the source database and is read-only. The system and application users (like
standby, postgres etc.) all have a password that does not match the credentials
stored in secrets which are created by the operator. One solution is to create
secrets beforehand and paste in the credentials of the source cluster.
Otherwise, you will see errors in the Postgres logs saying users cannot log in
and the operator logs will complain about not being able to sync resources.

When you only run a standby leader, you can safely ignore this, as it will be
sorted out once the cluster is detached from the source. It is also harmless if
you don’t plan it. But, when you created a standby replica, too, fix the
credentials right away. WAL files will pile up on the standby leader if no
connection can be established between standby replica(s). You can also edit the
secrets after their creation. Find them by:

```bash
kubectl get secrets --all-namespaces | grep <standby-cluster-name>
```

### Promote the standby

One big advantage of standby clusters is that they can be promoted to a proper
database cluster. This means it will stop replicating changes from the source,
and start accept writes itself. This mechanism makes it possible to move
databases from one place to another with minimal downtime. Currently, the
operator does not support promoting a standby cluster. It has to be done
manually using `patronictl edit-config` inside the postgres container of the
standby leader pod. Remove the following lines from the YAML structure and the
leader promotion happens immediately. Before doing so, make sure that the
standby is not behind the source database.

```yaml
standby_cluster:
  create_replica_methods:
    - bootstrap_standby_with_wale
    - basebackup_fast_xlog
  restore_command: envdir "/home/postgres/etc/wal-e.d/env-standby" /scripts/restore_command.sh
     "%f" "%p"
```

Finally, remove the `standby` section from the postgres cluster manifest.

### Turn a normal cluster into a standby

There is no way to transform a non-standby cluster to a standby cluster through
the operator. Adding the `standby` section to the manifest of a running
Postgres cluster will have no effect. But, as explained in the previous
paragraph it can be done manually through `patronictl edit-config`. This time,
by adding the `standby_cluster` section to the Patroni configuration. However,
the transformed standby cluster will not be doing any streaming. It will be in
standby mode and allow read-only transactions only.

## 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
spec:
  sidecars:
    - name: "container-name"
      image: "company/image:tag"
      resources:
        limits:
          cpu: 500m
          memory: 500Mi
        requests:
          cpu: 100m
          memory: 100Mi
      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`.

**Note**: The operator will not create a cluster if sidecar containers are
specified but globally disabled in the configuration. The `enable_sidecars`
option must be set to `true`.

If you want to add a sidecar to every cluster managed by the operator, you can specify it in the [operator configuration](administrator.md#sidecars-for-postgres-clusters) instead.

## InitContainers Support

Each cluster can specify arbitrary init containers to run. These containers can
be used to run custom actions before any normal and sidecar containers start.
An init container can be specified like this:

```yaml
spec:
  initContainers:
    - name: "container-name"
      image: "company/image:tag"
      env:
        - name: "ENV_VAR_NAME"
          value: "any-k8s-env-things"
```

`initContainers` accepts full `v1.Container` definition.

**Note**: The operator will not create a cluster if `initContainers` are
specified but globally disabled in the configuration. The
`enable_init_containers` option must be set to `true`.

## Increase volume size

Postgres 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:

```yaml
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 pod using `kubectl exec` and resize 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
new size is only applied to the volumes attached to the running pods. The
size of volumes that correspond to the previously running pods is not changed.

## Logical backups

You can enable logical backups from the cluster manifest by adding the following
parameter in the spec section:

```yaml
spec:
  enableLogicalBackup: true
```

The operator will create and sync a K8s cron job to do periodic logical backups
of this particular Postgres cluster. Due to the [limitation of K8s cron jobs](https://kubernetes.io/docs/concepts/workloads/controllers/cron-jobs/#cron-job-limitations)
it is highly advisable to set up additional monitoring for this feature; such
monitoring is outside the scope of operator responsibilities. See
[configuration reference](reference/cluster_manifest.md) and
[administrator documentation](administrator.md) for details on how backups are
executed.

## Connection pooler

The operator can create a database side connection pooler for those applications
where an application side pooler is not feasible, but a number of connections is
high. To create a connection pooler together with a database, modify the
manifest:

```yaml
spec:
  enableConnectionPooler: true
  enableReplicaConnectionPooler: true
```

This will tell the operator to create a connection pooler with default
configuration, through which one can access the master via a separate service
`{cluster-name}-pooler`. With the first option, connection pooler for master service
is created and with the second option, connection pooler for replica is created.
Note that both of these flags are independent of each other and user can set or
unset any of them as per their requirements without any effect on the other.

In most of the cases the
[default configuration](reference/operator_parameters.md#connection-pooler-configuration)
should be good enough. To configure a new connection pooler individually for
each Postgres cluster, specify:

```
spec:
  connectionPooler:
    # how many instances of connection pooler to create
    numberOfInstances: 2

    # in which mode to run, session or transaction
    mode: "transaction"

    # schema, which operator will create in each database
    # to install credentials lookup function for connection pooler
    schema: "pooler"

    # user, which operator will create for connection pooler
    user: "pooler"

    # resources for each instance
    resources:
      requests:
        cpu: 500m
        memory: 100Mi
      limits:
        cpu: "1"
        memory: 100Mi
```

The `enableConnectionPooler` flag is not required when the `connectionPooler`
section is present in the manifest. But, it can be used to disable/remove the
pooler while keeping its configuration.

By default, [`PgBouncer`](https://www.pgbouncer.org/) is used as connection pooler.
To find out about pool modes read the `PgBouncer` [docs](https://www.pgbouncer.org/config.html#pooler_mode)
(but it should be the general approach between different implementation).

Note, that using `PgBouncer` a meaningful resource CPU limit should be 1 core
or less (there is a way to utilize more than one, but in K8s it's easier just to
spin up more instances).

## Custom TLS certificates

By default, the Spilo image generates its own TLS certificate during startup.
However, this certificate cannot be verified and thus doesn't protect from
active MITM attacks. In this section we show how to specify a custom TLS
certificate which is mounted in the database pods via a K8s Secret.

Before applying these changes, in k8s the operator must also be configured with
the `spilo_fsgroup` set to the GID matching the postgres user group. If you
don't know the value, use `103` which is the GID from the default Spilo image
(`spilo_fsgroup=103` in the cluster request spec).

OpenShift allocates the users and groups dynamically (based on scc), and their
range is different in every namespace. Due to this dynamic behaviour, it's not
trivial to know at deploy time the uid/gid of the user in the cluster.
Therefore, instead of using a global `spilo_fsgroup` setting, use the
`spiloFSGroup` field per Postgres cluster.

Upload the cert as a kubernetes secret:
```sh
kubectl create secret tls pg-tls \
  --key pg-tls.key \
  --cert pg-tls.crt
```

When doing client auth, CA can come optionally from the same secret:
```sh
kubectl create secret generic pg-tls \
  --from-file=tls.crt=server.crt \
  --from-file=tls.key=server.key \
  --from-file=ca.crt=ca.crt
```

Then configure the postgres resource with the TLS secret:

```yaml
apiVersion: "acid.zalan.do/v1"
kind: postgresql

metadata:
  name: acid-test-cluster
spec:
  tls:
    secretName: "pg-tls"
    caFile: "ca.crt" # add this if the secret is configured with a CA
```

Optionally, the CA can be provided by a different secret:
```sh
kubectl create secret generic pg-tls-ca \
  --from-file=ca.crt=ca.crt
```

Then configure the postgres resource with the TLS secret:

```yaml
apiVersion: "acid.zalan.do/v1"
kind: postgresql

metadata:
  name: acid-test-cluster
spec:
  tls:
    secretName: "pg-tls"    # this should hold tls.key and tls.crt
    caSecretName: "pg-tls-ca" # this should hold ca.crt
    caFile: "ca.crt" # add this if the secret is configured with a CA
```

Alternatively, it is also possible to use
[cert-manager](https://cert-manager.io/docs/) to generate these secrets.

Certificate rotation is handled in the Spilo image which checks every 5
minutes if the certificates have changed and reloads postgres accordingly.
