Individual Postgres clusters are described by the Kubernetes cluster manifest
that has the structure defined by the postgresql
CRD (custom resource
definition). The following section describes the structure of the manifest and
the purpose of individual keys. You can take a look at the examples of the
minimal
and the
complete
cluster manifests.
When Kubernetes resources, such as memory, CPU or volumes, are configured, their amount is usually described as a string together with the units of measurements. Please, refer to the Kubernetes documentation for the possible values of those.
❗ If both operator configmap/CRD and a Postgres cluster manifest define the same parameter, the value from the Postgres cluster manifest is applied.
A Postgres manifest is a YAML
document. On the top level both individual
parameters and parameter groups can be defined. Parameter names are written
in camelCase.
Those parameters are grouped under the metadata
top-level key.
-
name the name of the cluster. Must start with the
teamId
followed by a dash. Changing it after the cluster creation is not supported. Required field. -
namespace the namespace where the operator creates Kubernetes objects (i.e. pods, services, secrets) for the cluster. Changing it after the cluster creation results in deploying or updating a completely separate cluster in the target namespace. Optional (if present, should match the namespace where the manifest is applied).
-
labels if labels are matching one of the
inherited_labels
configured in the operator parameters, they will automatically be added to all the objects (StatefulSet, Service, Endpoints, etc.) that are created by the operator. Labels that are set here but not listed asinherited_labels
in the operator parameters are ignored.
These parameters are grouped directly under the spec
key in the manifest.
-
teamId name of the team the cluster belongs to. Required field.
-
numberOfInstances total number of instances for a given cluster. The operator parameters
max_instances
andmin_instances
may also adjust this number. Required field. -
dockerImage custom Docker image that overrides the docker_image operator parameter. It should be a Spilo image. Optional.
-
schedulerName specifies the scheduling profile for database pods. If no value is provided K8s'
default-scheduler
will be used. Optional. -
spiloRunAsUser sets the user ID which should be used in the container to run the process. This must be set to run the container without root. By default the container runs with root. This option only works for Spilo versions >= 1.6-p3.
-
spiloRunAsGroup sets the group ID which should be used in the container to run the process. This must be set to run the container without root. By default the container runs with root. This option only works for Spilo versions >= 1.6-p3.
-
spiloFSGroup the Persistent Volumes for the Spilo pods in the StatefulSet will be owned and writable by the group ID specified. This will override the spilo_fsgroup operator parameter. This is required to run Spilo as a non-root process, but requires a custom Spilo image. Note the FSGroup of a Pod cannot be changed without recreating a new Pod. Optional.
-
enableMasterLoadBalancer boolean flag to override the operator defaults (set by the
enable_master_load_balancer
parameter) to define whether to enable the load balancer pointing to the Postgres primary. Optional. -
enableMasterPoolerLoadBalancer boolean flag to override the operator defaults (set by the
enable_master_pooler_load_balancer
parameter) to define whether to enable the load balancer for master pooler pods pointing to the Postgres primary. Optional. -
enableReplicaLoadBalancer boolean flag to override the operator defaults (set by the
enable_replica_load_balancer
parameter) to define whether to enable the load balancer pointing to the Postgres standby instances. Optional. -
enableReplicaPoolerLoadBalancer boolean flag to override the operator defaults (set by the
enable_replica_pooler_load_balancer
parameter) to define whether to enable the load balancer for replica pooler pods pointing to the Postgres standby instances. Optional. -
allowedSourceRanges when one or more load balancers are enabled for the cluster, this parameter defines the comma-separated range of IP networks (in CIDR-notation). The corresponding load balancer is accessible only to the networks defined by this parameter. Optional, when empty the load balancer service becomes inaccessible from outside of the Kubernetes cluster.
-
users a map of usernames to user flags for the users that should be created in the cluster by the operator. User flags are a list, allowed elements are
SUPERUSER
,REPLICATION
,INHERIT
,LOGIN
,NOLOGIN
,CREATEROLE
,CREATEDB
,BYPASSURL
. A login user is created by default unless NOLOGIN is specified, in which case the operator creates a role. One can specify empty flags by providing a JSON empty array '[]'. If the config optionenable_cross_namespace_secret
is enabled you can specify the namespace in the user name in the form{namespace}.{username}
and the operator will create the K8s secret in that namespace. The part after the first.
is considered to be the user name. Optional. -
usersWithSecretRotation list of users to enable credential rotation in K8s secrets. The rotation interval can only be configured globally. On each rotation a new user will be added in the database replacing the
username
value in the secret of the listed user. Although, rotation users inherit all rights from the original role, keep in mind that ownership is not transferred. See more details in the administrator docs. -
usersWithInPlaceSecretRotation list of users to enable in-place password rotation in K8s secrets. The rotation interval can only be configured globally. On each rotation the password value will be replaced in the secrets which the operator reflects in the database, too. List only users here that rarely connect to the database, like a flyway user running a migration on Pod start. See more details in the administrator docs.
-
databases a map of database names to database owners for the databases that should be created by the operator. The owner users should already exist on the cluster (i.e. mentioned in the
user
parameter). Optional. -
tolerations a list of tolerations that apply to the cluster pods. Each element of that list is a dictionary with the following fields:
key
,operator
,value
,effect
andtolerationSeconds
. Each field is optional. See Kubernetes examples for details on tolerations and possible values of those keys. When set, this value overrides thepod_toleration
setting from the operator. Optional. -
podPriorityClassName a name of the priority class that should be assigned to the cluster pods. When not specified, the value is taken from the
pod_priority_class_name
operator parameter, if not set then the default priority class is taken. The priority class itself must be defined in advance. Optional. -
podAnnotations A map of key value pairs that gets attached as annotations to each pod created for the database.
-
serviceAnnotations A map of key value pairs that gets attached as annotations to the services created for the database cluster. Check the administrator docs for more information regarding default values and overwrite rules.
-
masterServiceAnnotations A map of key value pairs that gets attached as annotations to the master service created for the database cluster. Check the administrator docs for more information regarding default values and overwrite rules. This field overrides
serviceAnnotations
with the same key for the master service if not empty. -
replicaServiceAnnotations A map of key value pairs that gets attached as annotations to the replica service created for the database cluster. Check the administrator docs for more information regarding default values and overwrite rules. This field overrides
serviceAnnotations
with the same key for the replica service if not empty. -
enableShmVolume Start a database pod without limitations on shm memory. By default Docker limit
/dev/shm
to64M
(see e.g. the docker issue, which could be not enough if PostgreSQL uses parallel workers heavily. If this option is present and value istrue
, to the target database pod will be mounted a new tmpfs volume to remove this limitation. If it's not present, the decision about mounting a volume will be made based on operator configuration (enable_shm_volume
, which istrue
by default). It it's present and value isfalse
, then no volume will be mounted no matter how operator was configured (so you can override the operator configuration). Optional. -
enableConnectionPooler Tells the operator to create a connection pooler with a database for the master service. If this field is true, a connection pooler deployment will be created even if
connectionPooler
section is empty. Optional, not set by default. -
enableReplicaConnectionPooler Tells the operator to create a connection pooler with a database for the replica service. If this field is true, a connection pooler deployment for replica will be created even if
connectionPooler
section is empty. Optional, not set by default. -
enableLogicalBackup Determines if the logical backup of this cluster should be taken and uploaded to S3. Default: false. Optional.
-
logicalBackupSchedule Schedule for the logical backup K8s cron job. Please take the reference schedule format into account. Optional. Default is: "30 00 * * *"
-
additionalVolumes List of additional volumes to mount in each container of the statefulset pod. Each item must contain a
name
,mountPath
, andvolumeSource
which is a kubernetes volumeSource. It allows you to mount existing PersistentVolumeClaims, ConfigMaps and Secrets inside the StatefulSet. Also anemptyDir
volume can be shared between initContainer and statefulSet. Additionaly, you can provide aSubPath
for volume mount (a file in a configMap source volume, for example). You can also specify in which container the additional Volumes will be mounted with thetargetContainers
array option. IftargetContainers
is empty, additional volumes will be mounted only in thepostgres
container. If you set theall
special item, it will be mounted in all containers (postgres + sidecars). Else you can set the list of target containers in which the additional volumes will be mounted (eg : postgres, telegraf)
The operator can create databases with default owner, reader and writer roles
without the need to specifiy them under users
or databases
sections. Those
parameters are grouped under the preparedDatabases
top-level key. For more
information, see user docs.
-
defaultUsers The operator will always create default
NOLOGIN
roles for defined prepared databases, but ifdefaultUsers
is set totrue
three additionalLOGIN
roles with_user
suffix will get created. Default isfalse
. -
extensions map of extensions with target database schema that the operator will install in the database. Optional.
-
schemas map of schemas that the operator will create. Optional - if no schema is listed, the operator will create a schema called
data
. Under each schema key, it can be defined ifdefaultRoles
(NOLOGIN) anddefaultUsers
(LOGIN) roles shall be created that have schema-exclusive privileges. Both flags are set tofalse
by default. -
secretNamespace for each default LOGIN role the operator will create a secret. You can specify the namespace in which these secrets will get created, if
enable_cross_namespace_secret
is set totrue
in the config. Otherwise, the cluster namespace is used.
Those parameters are grouped under the postgresql
top-level key, which is
required in the manifest.
-
version the Postgres major version of the cluster. Looks at the Spilo project for the list of supported versions. Changing the cluster version once the cluster has been bootstrapped is not supported. Required field.
-
parameters a dictionary of Postgres parameter names and values to apply to the resulting cluster. Optional (Spilo automatically sets reasonable defaults for parameters like
work_mem
ormax_connections
).
Those parameters are grouped under the patroni
top-level key. See the Patroni
documentation for the
explanation of ttl
and loop_wait
parameters.
-
initdb a map of key-value pairs describing initdb parameters. For
data-checksums
,debug
,no-locale
,noclean
,nosync
andsync-only
parameters usetrue
as the value if you want to set them. Changes to this option do not affect the already initialized clusters. Optional. -
pg_hba list of custom
pg_hba
lines to replace default ones. Note that the default ones includehostssl all +pamrole all pam
where pamrole is the name of the role for the pam authentication; any custom
pg_hba
should include the pam line to avoid breaking pam authentication. Optional. -
ttl Patroni
ttl
parameter value, optional. The default is set by the Spilo Docker image. Optional. -
loop_wait Patroni
loop_wait
parameter value, optional. The default is set by the Spilo Docker image. Optional. -
retry_timeout Patroni
retry_timeout
parameter value, optional. The default is set by the Spilo Docker image. Optional. -
maximum_lag_on_failover Patroni
maximum_lag_on_failover
parameter value, optional. The default is set by the Spilo Docker image. Optional. -
slots permanent replication slots that Patroni preserves after failover by re-creating them on the new primary immediately after doing a promote. Slots could be reconfigured with the help of
patronictl edit-config
. It is the responsibility of a user to avoid clashes in names between replication slots automatically created by Patroni for cluster members and permanent replication slots. Optional. -
synchronous_mode Patroni
synchronous_mode
parameter value. The default is set tofalse
. Optional. -
synchronous_mode_strict Patroni
synchronous_mode_strict
parameter value. Can be used in addition tosynchronous_mode
. The default is set tofalse
. Optional. -
synchronous_node_count Patroni
synchronous_node_count
parameter value. Note, this option is only available for Spilo images with Patroni 2.0+. The default is set to1
. Optional. -
failsafe_mode Patroni
failsafe_mode
parameter value. If enabled, allows Patroni to cope with DCS outages and avoid leader demotion. Note, this option is currently not included in any Patroni release. The default is set tofalse
. Optional.
Those parameters define CPU and memory requests and limits
for the Postgres container. They are grouped under the resources
top-level
key with subgroups requests
and limits
.
CPU and memory requests for the Postgres container.
-
cpu CPU requests for the Postgres container. Optional, overrides the
default_cpu_requests
operator configuration parameter. -
memory memory requests for the Postgres container. Optional, overrides the
default_memory_request
operator configuration parameter.
CPU and memory limits for the Postgres container.
-
cpu CPU limits for the Postgres container. Optional, overrides the
default_cpu_limits
operator configuration parameter. -
memory memory limits for the Postgres container. Optional, overrides the
default_memory_limits
operator configuration parameter.
Those parameters are applied when the cluster should be a clone of another one
that is either already running or has a basebackup on S3. They are grouped
under the clone
top-level key and do not affect the already running cluster.
-
cluster name of the cluster to clone from. Translated to either the service name or the key inside the S3 bucket containing base backups. Required when the
clone
section is present. -
uid Kubernetes UID of the cluster to clone from. Since cluster name is not a unique identifier of the cluster (as identically named clusters may exist in different namespaces) , the operator uses UID in the S3 bucket name in order to guarantee uniqueness. Has no effect when cloning from the running clusters. Optional.
-
timestamp the timestamp up to which the recovery should proceed. The operator always configures non-inclusive recovery target, stopping right before the given timestamp. When this parameter is set the operator will not consider cloning from the live cluster, even if it is running, and instead goes to S3. Optional.
-
s3_wal_path the url to S3 bucket containing the WAL archive of the cluster to be cloned. Optional.
-
s3_endpoint the url of the S3-compatible service should be set when cloning from non AWS S3. Optional.
-
s3_access_key_id the access key id, used for authentication on S3 service. Optional.
-
s3_secret_access_key the secret access key, used for authentication on S3 service. Optional.
-
s3_force_path_style to enable path-style addressing(i.e., http://s3.amazonaws.com/BUCKET/KEY) when connecting to an S3-compatible service that lack of support for sub-domain style bucket URLs (i.e., http://BUCKET.s3.amazonaws.com/KEY). Optional.
On startup, an existing standby
top-level key creates a standby Postgres
cluster streaming from a remote location - either from a S3 or GCS WAL
archive or a remote primary. Only one of options is allowed and required
if the standby
key is present.
-
s3_wal_path the url to S3 bucket containing the WAL archive of the remote primary.
-
gs_wal_path the url to GS bucket containing the WAL archive of the remote primary.
-
standby_host hostname or IP address of the primary to stream from.
-
standby_port TCP port on which the primary is listening for connections. Patroni will use
"5432"
if not set.
Those parameters are grouped under the volume
top-level key and define the
properties of the persistent storage that stores Postgres data.
-
size the size of the target volume. Usual Kubernetes size modifiers, i.e.
Gi
orMi
, apply. Required. -
storageClass the name of the Kubernetes storage class to draw the persistent volume from. See Kubernetes documentation for the details on storage classes. Optional.
-
subPath Subpath to use when mounting volume into Spilo container. Optional.
-
iops When running the operator on AWS the latest generation of EBS volumes (
gp3
) allows for configuring the number of IOPS. Maximum is 16000. Optional. -
throughput When running the operator on AWS the latest generation of EBS volumes (
gp3
) allows for configuring the throughput in MB/s. Maximum is 1000. Optional. -
selector A label query over PVs to consider for binding. See the Kubernetes documentation for details on using
matchLabels
andmatchExpressions
. Optional
Those parameters are defined under the sidecars
key. They consist of a list
of dictionaries, each defining one sidecar (an extra container running
along the main Postgres container on the same pod). The following keys can be
defined in the sidecar dictionary:
-
name name of the sidecar. Required.
-
image Docker image of the sidecar. Required.
-
env a dictionary of environment variables. Use usual Kubernetes definition (https://kubernetes.io/docs/tasks/inject-data-application/environment-variable-expose-pod-information/) for environment variables. Optional.
-
resources CPU and memory requests and limits for each sidecar container. Optional.
CPU and memory requests for the sidecar container.
-
cpu CPU requests for the sidecar container. Optional, overrides the
default_cpu_requests
operator configuration parameter. Optional. -
memory memory requests for the sidecar container. Optional, overrides the
default_memory_request
operator configuration parameter. Optional.
CPU and memory limits for the sidecar container.
-
cpu CPU limits for the sidecar container. Optional, overrides the
default_cpu_limits
operator configuration parameter. Optional. -
memory memory limits for the sidecar container. Optional, overrides the
default_memory_limits
operator configuration parameter. Optional.
Parameters are grouped under the connectionPooler
top-level key and specify
configuration for connection pooler. If this section is not empty, a connection
pooler will be created for master service only even if enableConnectionPooler
is not present. But if this section is present then it defines the configuration
for both master and replica pooler services (if enableReplicaConnectionPooler
is enabled).
-
numberOfInstances How many instances of connection pooler to create.
-
schema Database schema to create for credentials lookup function.
-
user User to create for connection pooler to be able to connect to a database. You can also choose a role from the
users
section or a system user role. -
dockerImage Which docker image to use for connection pooler deployment.
-
maxDBConnections How many connections the pooler can max hold. This value is divided among the pooler pods.
-
mode In which mode to run connection pooler, transaction or session.
-
resources Resource configuration for connection pooler deployment.
Those parameters are grouped under the tls
top-level key.
-
secretName By setting the
secretName
value, the cluster will switch to load the given Kubernetes Secret into the container as a volume and uses that as the certificate instead. It is up to the user to create and manage the Kubernetes Secret either by hand or using a tool like the CertManager operator. -
certificateFile Filename of the certificate. Defaults to "tls.crt".
-
privateKeyFile Filename of the private key. Defaults to "tls.key".
-
caFile Optional filename to the CA certificate (e.g. "ca.crt"). Useful when the client connects with
sslmode=verify-ca
orsslmode=verify-full
. Default is empty. -
caSecretName By setting the
caSecretName
value, the ca certificate file defined by thecaFile
will be fetched from this secret instead ofsecretName
above. This secret has to hold a file with that name in its root.Optionally one can provide full path for any of them. By default it is relative to the "/tls/", which is mount path of the tls secret. If
caSecretName
is defined, the ca.crt path is relative to "/tlsca/", otherwise to the same "/tls/".
This sections enables change data capture (CDC) streams via Postgres'
logical decoding
feature and pgoutput
plugin. While the Postgres operator takes responsibility
for providing the setup to publish change events, it relies on external tools
to consume them. At Zalando, we are using a workflow based on
Debezium Connector
which can feed streams into Zalando’s distributed event broker Nakadi
among others.
The Postgres Operator creates custom resources for Zalando's internal CDC operator which will be used to set up the consumer part. Each stream object can have the following properties:
-
applicationId The application name to which the database and CDC belongs to. For each set of streams with a distinct
applicationId
a separate stream CR as well as a separate logical replication slot will be created. This means there can be different streams in the same database and streams with the sameapplicationId
are bundled in one stream CR. The stream CR will be called like the Postgres cluster plus "-" suffix. Required. -
database Name of the database from where events will be published via Postgres' logical decoding feature. The operator will take care of updating the database configuration (setting
wal_level: logical
, creating logical replication slots, using output pluginpgoutput
and creating a dedicated replication user). Required. -
tables Defines a map of table names and their properties (
eventType
,idColumn
andpayloadColumn
). The CDC operator is following the outbox pattern. The application is responsible for putting events into a (JSON/B or VARCHAR) payload column of the outbox table in the structure of the specified target event type. The operator will create a PUBLICATION in Postgres for all tables specified for onedatabase
andapplicationId
. The CDC operator will consume from it shortly after transactions are committed to the outbox table. TheidColumn
will be used in telemetry for the CDC operator. The names foridColumn
andpayloadColumn
can be configured. Defaults areid
andpayload
. The targeteventType
has to be defined. Required. -
filter Streamed events can be filtered by a jsonpath expression for each table. Optional.
-
batchSize Defines the size of batches in which events are consumed. Optional. Defaults to 1.