Physical replication is one of the strengths of PostgreSQL and one of the reasons why some of the largest organizations in the world have chosen it for the management of their data in business continuity contexts. Primarily used to achieve high availability, physical replication also allows scale-out of read-only workloads and offloading of some work from the primary.
This section is about replication within the same
managed in the same Kubernetes cluster. For information about how to
replicate with another Postgres
Cluster resource, even across different
Kubernetes clusters, please refer to the "Replica clusters"
Having contributed throughout the years to the replication feature in PostgreSQL, we have decided to build high availability in EDB Postgres for Kubernetes on top of the native physical replication technology, and integrate it directly in the Kubernetes API.
In Kubernetes terms, this is referred to as application-level replication, in contrast with storage-level replication.
A very mature technology
PostgreSQL has a very robust and mature native framework for replicating data from the primary instance to one or more replicas, built around the concept of transactional changes continuously stored in the WAL (Write Ahead Log).
Started as the evolution of crash recovery and point in time recovery technologies, physical replication was first introduced in PostgreSQL 8.2 (2006) through WAL shipping from the primary to a warm standby in continuous recovery.
PostgreSQL 9.0 (2010) enhanced it with WAL streaming and read-only replicas via hot standby, while 9.1 (2011) introduced synchronous replication at the transaction level (for RPO=0 clusters). Cascading replication was released with PostgreSQL 9.2 (2012). The foundations of logical replication were laid in PostgreSQL 9.4, while version 10 (2017) introduced native support for the publisher/subscriber pattern to replicate data from an origin to a destination.
Streaming replication support
At the moment, EDB Postgres for Kubernetes natively and transparently manages
physical streaming replicas within a cluster in a declarative way, based on
the number of provided
instances in the
Immediately after the initialization of a cluster, the operator creates a user
streaming_replica as follows:
Out of the box, the operator automatically sets up streaming replication within
the cluster over an encrypted channel and enforces TLS client certificate
authentication for the
streaming_replica user - as highlighted by the following
excerpt taken from
For details on how EDB Postgres for Kubernetes manages certificates, please refer to the "Certificates" section in the documentation.
If configured, the operator manages replication slots for all the replicas in the HA cluster, ensuring that WAL files required by each standby are retained on the primary's storage, even after a failover or switchover.
Replication slots for High Availability
For details on how EDB Postgres for Kubernetes automatically manages replication slots for the High Availability replicas, please refer to the "Replication slots for High Availability" section below.
Continuous backup integration
In case continuous backup is configured in the cluster, EDB Postgres for Kubernetes
transparently configures replicas to take advantage of
in continuous recovery. As a result, PostgreSQL can use the WAL archive
as a fallback option whenever pulling WALs via streaming replication fails.
EDB Postgres for Kubernetes supports the configuration of quorum-based synchronous
streaming replication via two configuration options called
maxSyncReplicas, which are the minimum and the maximum number of expected
synchronous standby replicas available at any time.
For self-healing purposes, the operator always compares these two values with
the number of available replicas to determine the quorum.
By default, synchronous replication selects among all the available
replicas indistinctively. You can limit on which nodes your synchronous
replicas can be scheduled, by working on node labels through the
syncReplicaElectionConstraint option as described in the next section.
Synchronous replication is disabled by default (
maxSyncReplicas are not defined).
In case both
maxSyncReplicas are set, EDB Postgres for Kubernetes
automatically updates the
synchronous_standby_names option in
PostgreSQL to the following value:
qis an integer automatically calculated by the operator to be:
1 <= minSyncReplicas <= q <= maxSyncReplicas <= readyReplicas
pod1, pod2, ...is the list of all PostgreSQL pods in the cluster
To provide self-healing capabilities, the operator can ignore
minSyncReplicas if such value is higher than the currently available
number of replicas. Synchronous replication is automatically disabled
As stated in the
ANY specifies a quorum-based synchronous replication and makes
transaction commits wait until their WAL records are replicated to at least the
requested number of synchronous standbys in the list.
Even though the operator chooses self-healing over enforcement of
synchronous replication settings, our recommendation is to plan for
synchronous replication only in clusters with 3+ instances or,
more generally, when
maxSyncReplicas < (instances - 1).
Select nodes for synchronous replication
EDB Postgres for Kubernetes enables you to select which PostgreSQL instances are eligible to participate in a quorum-based synchronous replication set through anti-affinity rules based on the node labels where the PVC holding the PGDATA and the Postgres pod are.
For more information on the general pod affinity and anti-affinity rules, please check the "Scheduling" section.
As an example use-case for this feature: in a cluster with a single sync replica,
we would be able to ensure the sync replica will be in a different availability
zone from the primary instance, usually identified by the
label on a node.
This would increase the robustness of the cluster in case of an outage in a single
availability zone, especially in terms of recovery point objective (RPO).
The idea of anti-affinity is to ensure that sync replicas that participate in the quorum are chosen from pods running on nodes that have different values for the selected labels (in this case, the availability zone label) then the node where the primary is currently in execution. If no node matches such criteria, the replicas are eligible for synchronous replication.
The self-healing enforcement still applies while defining additional constraints for synchronous replica election (see "Synchronous replication").
The example below shows how this can be done through the
syncReplicaElectionConstraint section within
nodeLabelsAntiAffinity allows you to specify those node labels that need to
be evaluated to make sure that synchronous replication will be dynamically
configured by the operator between the current primary and the replicas which
are located on nodes having a value of the availability zone label different
from that of the node where the primary is:
As you can imagine, the availability zone is just an example, but you could customize this behavior based on other labels that describe the node, such as storage, CPU, or memory.
Replication slots for High Availability
Replication slots are a native PostgreSQL feature introduced in 9.4 that provides an automated way to ensure that the primary does not remove WAL segments until all the attached streaming replication clients have received them, and that the primary does not remove rows which could cause a recovery conflict even when the standby is (temporarily) disconnected.
A replication slot exists solely on the instance that created it, and PostgreSQL does not replicate it on the standby servers. As a result, after a failover or a switchover, the new primary does not contain the replication slot from the old primary. This can create problems for the streaming replication clients that were connected to the old primary and have lost their slot.
EDB Postgres for Kubernetes fills this gap by introducing the concept of cluster-managed replication slots, starting with high availability clusters. This feature automatically manages physical replication slots for each hot standby replica in the High Availability cluster, both in the primary and the standby.
In EDB Postgres for Kubernetes, we use the terms:
- Primary HA slot: a physical replication slot whose lifecycle is entirely managed by the current primary of the cluster and whose purpose is to map to a specific standby in streaming replication. Such a slot lives on the primary only.
- Standby HA slot: a physical replication slot for a standby whose
lifecycle is entirely managed by another standby in the cluster, based on the
content of the
pg_replication_slotsview in the primary, and updated at regular intervals using
This feature, introduced in EDB Postgres for Kubernetes 1.18, can be enabled via configuration. For details, please refer to the "replicationSlots" section in the API reference. Here follows a brief description of the main options:
: if true, the feature is enabled (
false is the default)
: the prefix that identifies replication slots managed by the operator
for this feature (default:
: how often the standby synchronizes the position of the local copy of the
replication slots with the position on the current primary, expressed in
seconds (default: 30)
This capability requires PostgreSQL 11 or higher, as it relies on the
pg_replication_slot_advance() administration function
to directly manipulate the position of a replication slot.
In PostgreSQL 11, enabling replication slots if initially disabled, or conversely
disabling them if initially enabled, will require a rolling update of the
cluster (due to the presence of the
recovery.conf file that is only read
Although it is not recommended, if you desire a different behavior, you can customize the above options.
For example, the following manifest will create a cluster with replication slots enabled.
You can also control the frequency with which a standby queries the
pg_replication_slots view on the primary, and updates its local copy of
the replication slots, like in this example:
Replication slots must be carefully monitored in your infrastructure. By default,
we provide the
pg_replication_slots metric in our Prometheus exporter with
key information such as the name of the slot, the type, whether it is active,
the lag from the primary.
Please refer to the "Monitoring" section for details on how to monitor a EDB Postgres for Kubernetes deployment.