Replica clusters ================ .. raw:: html A replica cluster is a CloudNativePG ``Cluster`` resource designed to replicate data from another PostgreSQL instance, ideally also managed by CloudNativePG. Typically, a replica cluster is deployed in a different Kubernetes cluster in another region. These clusters can be configured to perform cascading replication and can rely on object stores for data replication from the source, as detailed further down. There are primarily two use cases for replica clusters: 1. **Disaster Recovery and High Availability**: Enhance disaster recovery and, to some extent, high availability of a CloudNativePG cluster across different Kubernetes clusters, typically located in different regions. In CloudNativePG terms, this is known as a :ref:`Distributed Topology ` . 2. **Read-Only Workloads**: Create standalone replicas of a PostgreSQL cluster for purposes such as reporting or Online Analytical Processing (OLAP). These replicas are primarily for read-only workloads. In CloudNativePG terms, this is referred to as a :ref:`Standalone Replica Clusters ` . For example, the diagram below — taken from the :ref:`Architecture ` — illustrates a distributed PostgreSQL topology spanning two Kubernetes clusters, with a symmetric replica cluster primarily serving disaster recovery purposes. .. figure:: /images/multi-cluster.png :width: 70% :alt: An example of multi-cluster deployment with a primary and a replica cluster An example of multi-cluster deployment with a primary and a replica cluster Basic Concepts -------------- CloudNativePG builds on the PostgreSQL replication framework, allowing you to create and synchronize a PostgreSQL cluster from an existing source cluster using the replica cluster feature — described in this section. The source can be a primary cluster or another replica cluster (cascading replication). About PostgreSQL Roles ^^^^^^^^^^^^^^^^^^^^^^ A replica cluster operates in continuous recovery mode, meaning no changes to the database, including the catalog and global objects like roles or databases, are permitted. These changes are deferred until the ``Cluster`` transitions to primary. During this phase, global objects such as roles remain as defined in the source cluster. CloudNativePG applies any local redefinitions once the cluster is promoted. If you are not planning to promote the cluster (e.g., for read-only workloads) or if you intend to detach completely from the source cluster once the replica cluster is promoted, you don’t need to take any action. This is normally the case of the :ref:`Standalone Replica Clusters ` . If you are planning to promote the cluster at some point, CloudNativePG will manage the following roles and passwords when transitioning from replica cluster to primary: - the application user - the superuser (if you are using it) - any role defined using the :ref:`declarative interface ` If your intention is to seamlessly ensure that the above roles and passwords don’t change, you need to define the necessary secrets for the above in each ``Cluster`` . This is normally the case of the :ref:`Distributed Topology ` . Bootstrapping a Replica Cluster ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The first step is to bootstrap the replica cluster using one of the following methods: - **Streaming replication** via ``pg_basebackup`` - **Recovery from a volume snapshot** - **Recovery from a Barman Cloud backup** in an object store For detailed instructions on cloning a PostgreSQL server using ``pg_basebackup`` (streaming) or recovery (volume snapshot or object store), refer to the :ref:`Bootstrap ` . Configuring Replication ^^^^^^^^^^^^^^^^^^^^^^^ Once the base backup for the replica cluster is available, you need to define how changes will be replicated from the origin using PostgreSQL continuous recovery. There are three main options: 1. **Streaming Replication**: Set up streaming replication between the replica cluster and the source. This method requires configuring network connections and implementing appropriate administrative and security measures to ensure seamless data transfer. 2. **WAL Archive**: Use the WAL (Write-Ahead Logging) archive stored in an object store. WAL files are regularly transferred from the source cluster to the object store, from where a CNPG-I plugin like `Barman Cloud `_ retrieves them for the replica cluster via the ``restore_command`` . 3. **Hybrid Approach**: Combine both streaming replication and WAL archive methods. PostgreSQL can manage and switch between these two approaches as needed to ensure data consistency and availability. Defining an External Cluster ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ When configuring the external cluster, you have the following options: - **``plugin`` section**: - Enables bootstrapping the replica cluster using a `CNPG-I `_ plugin that support the `restore_job `_ and the `wal `_ protocols. - CloudNativePG supports the `Barman Cloud Plugin `_ to allow bootstrapping the replica cluster from an object store. - **``connectionParameters`` section**: - Enables bootstrapping the replica cluster via streaming replication using the ``pg_basebackup`` section. - CloudNativePG automatically sets the ``primary_conninfo`` option in the designated primary instance, initiating a WAL receiver process to connect to the source cluster and receive data. You still have access to the **``barmanObjectStore`` section**, although deprecated: - Enables use of the WAL archive, with CloudNativePG automatically setting the ``restore_command`` in the designated primary instance. - Allows bootstrapping the replica cluster from an object store using the ``recovery`` section if volume snapshots are not feasible. Backup and Symmetric Architectures ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The replica cluster can perform backups to a reserved object store from the designated primary, supporting symmetric architectures in a distributed environment. This architectural choice is crucial as it ensures the cluster is prepared for promotion during a controlled data center switchover or a failover following an unexpected event. Distributed Architecture Flexibility ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ You have the flexibility to design your preferred distributed architecture for a PostgreSQL database, choosing from: - **Private Cloud**: Spanning multiple Kubernetes clusters in different data centers. - **Public Cloud**: Spanning multiple Kubernetes clusters in different regions. - **Hybrid Cloud**: Combining private and public clouds. - **Multi-Cloud**: Spanning multiple Kubernetes clusters across different regions and Cloud Service Providers. Setting Up a Replica Cluster ---------------------------- To set up a replica cluster from a source cluster, follow these steps to create a cluster YAML file and configure it accordingly: 1. **Define External Clusters**: - In the ``externalClusters`` section, specify the replica cluster. - For a distributed PostgreSQL topology aimed at disaster recovery (DR) and high availability (HA), this section should be defined for every PostgreSQL cluster in the distributed database. 2. **Bootstrap the Replica Cluster**: - **Streaming Bootstrap**: Use the ``pg_basebackup`` section for bootstrapping via streaming replication. - **Snapshot/Object Store Bootstrap**: Use the ``recovery`` section to bootstrap from a volume snapshot or an object store. 3. **Continuous Recovery Strategy**: Define this in the ``.spec.replica`` stanza: - **Distributed Topology**: Configure using the ``primary`` , ``source`` , and ``self`` fields along with the distributed topology defined in ``externalClusters`` . This allows CloudNativePG to declaratively control the demotion of a primary cluster and the subsequent promotion of a replica cluster using a promotion token. - **Standalone Replica Cluster**: Enable continuous recovery using the ``enabled`` option and set the ``source`` field to point to an ``externalClusters`` name. This configuration is suitable for creating replicas primarily intended for read-only workloads. Both the Distributed Topology and the Standalone Replica Cluster strategies for continuous recovery are thoroughly explained below. Distributed Topology -------------------- Planning for a Distributed PostgreSQL Database ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ As Dwight Eisenhower famously said, “Planning is everything”, and this holds true for designing PostgreSQL architectures in Kubernetes. First, conceptualize your distributed topology on paper, and then translate it into a CloudNativePG API configuration. This configuration primarily involves: - The ``externalClusters`` section, which must be included in every ``Cluster`` definition within your distributed PostgreSQL setup. - The ``.spec.replica`` stanza, specifically the ``primary`` , ``source`` , and (optionally) ``self`` fields. For example, suppose you want to deploy a PostgreSQL cluster distributed across two Kubernetes clusters located in Southern Europe and Central Europe. In this scenario, assume you have CloudNativePG installed in the Southern Europe Kubernetes cluster, with a PostgreSQL ``Cluster`` named ``cluster-eu-south`` acting as the primary. This cluster has continuous backup configured with a local object store. This object store is also accessible by the PostgreSQL ``Cluster`` named ``cluster-eu-central`` , installed in the Central European Kubernetes cluster. Initially, ``cluster-eu-central`` functions as a replica cluster. Following a symmetric approach, it also has a local object store for continuous backup, which needs to be read by ``cluster-eu-south`` . In this example, recovery is performed solely through WAL shipping, without any streaming replication between the two clusters. However, you can configure the setup to use streaming replication alone or adopt a hybrid approach—streaming replication with WAL shipping as a fallback—as described in the :ref:`“Configuring replication” ` section. Here’s how you would configure the ``externalClusters`` section for both ``Cluster`` resources, relying on Barman Cloud Plugin for the object store: .. code:: yaml ## Distributed topology configuration externalClusters: - name: cluster-eu-south plugin: name: barman-cloud.cloudnative-pg.io parameters: barmanObjectName: cluster-eu-south serverName: cluster-eu-south - name: cluster-eu-central plugin: name: barman-cloud.cloudnative-pg.io parameters: barmanObjectName: cluster-eu-central serverName: cluster-eu-central The ``.spec.replica`` stanza for the ``cluster-eu-south`` PostgreSQL primary ``Cluster`` should be configured as follows: .. code:: yaml replica: primary: cluster-eu-south source: cluster-eu-central Meanwhile, the ``.spec.replica`` stanza for the ``cluster-eu-central`` PostgreSQL replica ``Cluster`` should be configured as: .. code:: yaml replica: primary: cluster-eu-south source: cluster-eu-south In this configuration, when the ``primary`` field matches the name of the ``Cluster`` resource (or ``.spec.replica.self`` if a different one is used), the current cluster is considered the primary in the distributed topology. Otherwise, it is set as a replica from the ``source`` (in this case, using the Barman object store). This setup allows you to efficiently manage a distributed PostgreSQL architecture across multiple Kubernetes clusters, ensuring both high availability and disaster recovery through controlled switchover of a primary PostgreSQL cluster using declarative configuration. Controlled switchover in a distributed topology is a two-step process involving: - Demotion of a primary cluster to a replica cluster - Promotion of a replica cluster to a primary cluster These processes are described in the next sections. .. Note:: Before you proceed, ensure you review the :ref:`About PostgreSQL Roles ` above and use identical role definitions, including secrets, in all ``Cluster`` objects participating in the distributed topology. 　 Demoting a Primary to a Replica Cluster ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ CloudNativePG provides the functionality to demote a primary cluster to a replica cluster. This action is typically planned when transitioning the primary role from one data center to another. The process involves demoting the current primary cluster (e.g., ``cluster-eu-south`` ) to a replica cluster and subsequently promoting the designated replica cluster (e.g., ``cluster-eu-central`` ) to primary when fully synchronized. Provided you have defined an external cluster in the current primary ``Cluster`` resource that points to the replica cluster that’s been selected to become the new primary, all you need to do is change the ``primary`` field as follows: .. code:: yaml replica: primary: cluster-eu-central source: cluster-eu-central When the primary PostgreSQL cluster is demoted, write operations are no longer possible. CloudNativePG then: 1. Archives the WAL file containing the shutdown checkpoint as a ``.partial`` file in the WAL archive. 2. Generates a ``demotionToken`` in the status, a base64-encoded JSON structure containing relevant information from ``pg_controldata`` such as the system identifier, the timestamp, timeline ID, REDO location, and REDO WAL file of the latest checkpoint. The first step is necessary to demote/promote using solely the WAL archive to feed the continuous recovery process (without streaming replication). The second step, generation of the ``.status.demotionToken`` , will ensure a smooth demotion/promotion process, without any data loss and without rebuilding the former primary. At this stage, the former primary has transitioned to a replica cluster, awaiting WAL data from the new global primary: ``cluster-eu-central`` . To proceed with promoting the other cluster, you need to retrieve the ``demotionToken`` from ``cluster-eu-south`` using the following command: .. code:: sh kubectl get cluster cluster-eu-south \ -o jsonpath={.status.demotionToken} You can obtain the ``demotionToken`` using the ``cnpg`` plugin by checking the cluster’s status. The token is listed under the ``Demotion token`` section. .. Note:: The `demotionToken` obtained from `cluster-eu-south` will serve as the `promotionToken` for `cluster-eu-central` . 　 You can verify the role change using the ``cnpg`` plugin, checking the status of the cluster: .. code:: shell kubectl cnpg status cluster-eu-south Promoting a Replica to a Primary Cluster ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ To promote a PostgreSQL replica cluster (e.g., ``cluster-eu-central`` ) to a primary cluster and make the designated primary an actual primary instance, you need to perform the following steps simultaneously: 1. Set the ``.spec.replica.primary`` to the name of the current replica cluster to be promoted (e.g., ``cluster-eu-central`` ). 2. Set the ``.spec.replica.promotionToken`` with the value obtained from the former primary cluster (refer to :ref:`Demoting a Primary to a Replica Cluster ` ). The updated ``replica`` section in ``cluster-eu-central`` ’s spec should look like this: .. code:: yaml replica: primary: cluster-eu-central promotionToken: source: cluster-eu-south .. Warning:: It is crucial to apply the changes to the `primary` and `promotionToken` fields simultaneously. If the promotion token is omitted, a failover will be triggered, necessitating a rebuild of the former primary. 　 After making these adjustments, CloudNativePG will initiate the promotion of the replica cluster to a primary cluster. Initially, CloudNativePG will wait for the designated primary cluster to replicate all Write-Ahead Logging (WAL) information up to the specified Log Sequence Number (LSN) contained in the token. Once this target is achieved, the promotion process will commence. The new primary cluster will switch timelines, archive the history file and new WAL, thereby unblocking the replication process in the ``cluster-eu-south`` cluster, which will then operate as a replica. To verify the role change, use the ``cnpg`` plugin to check the status of the cluster: .. code:: shell kubectl cnpg status cluster-eu-central This command will provide you with the current status of ``cluster-eu-central`` , confirming its promotion to primary. By following these steps, you ensure a smooth and controlled promotion process, minimizing disruption and maintaining data integrity across your PostgreSQL clusters. Standalone Replica Clusters --------------------------- .. Note:: Standalone Replica Clusters were previously known as Replica Clusters before the introduction of the Distributed Topology strategy in CloudNativePG 1.24. 　 In CloudNativePG, a Standalone Replica Cluster is a PostgreSQL cluster in continuous recovery with the following configurations: - ``.spec.replica.enabled`` set to ``true`` - A physical replication source defined via the ``.spec.replica.source`` field, pointing to an ``externalClusters`` name When ``.spec.replica.enabled`` is set to ``false`` , the replica cluster exits continuous recovery mode and becomes a primary cluster, completely detached from the original source. .. Warning:: Disabling replication is an **irreversible** operation. Once replication is disabled and the designated primary is promoted to primary, the replica cluster and the source cluster become two independent clusters definitively. 　 .. Note:: Standalone replica clusters are suitable for several use cases, primarily involving read-only workloads. If you are planning to setup a disaster recovery solution, look into "Distributed Topology" above. 　 Main Differences with Distributed Topology ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Although Standalone Replica Clusters can be used for disaster recovery purposes, they differ from the “Distributed Topology” strategy in several key ways: - **Lack of Distributed Database Concept**: Standalone Replica Clusters do not support the concept of a distributed database, whether in simple forms (two clusters) or more complex configurations (e.g., three clusters in a circular topology). - **No Global Primary Cluster**: There is no notion of a global primary cluster in Standalone Replica Clusters. - **No Controlled Switchover**: A Standalone Replica Cluster can only be promoted to primary. The former primary cluster must be re-cloned, as controlled switchover is not possible. Failover is identical in both strategies, requiring the former primary to be re-cloned if it ever comes back up. Example of Standalone Replica Cluster using ``pg_basebackup`` ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ This **first example** defines a standalone replica cluster using streaming replication in both bootstrap and continuous recovery. The replica cluster connects to the source cluster using TLS authentication. You can check the `sample YAML `_ in the ``samples/`` subdirectory. Note the ``bootstrap`` and ``replica`` sections pointing to the source cluster. .. code:: yaml bootstrap: pg_basebackup: source: cluster-example replica: enabled: true source: cluster-example The previous configuration assumes that the application database and its owning user are set to the default, ``app`` . If the PostgreSQL cluster being restored uses different names, you must specify them as documented in :ref:`Configure the application database ` . You should also consider copying over the application user secret from the original cluster and keep it synchronized with the source. See :ref:`About PostgreSQL Roles ` for more details. In the ``externalClusters`` section, remember to use the right namespace for the host in the ``connectionParameters`` sub-section. The ``-replication`` and ``-ca`` secrets should have been copied over if necessary, in case the replica cluster is in a separate namespace. .. code:: yaml externalClusters: - name: connectionParameters: host: -rw..svc user: streaming_replica sslmode: verify-full dbname: postgres sslKey: name: -replication key: tls.key sslCert: name: -replication key: tls.crt sslRootCert: name: -ca key: ca.crt Example of Standalone Replica Cluster from an object store ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The **second example** defines a replica cluster that bootstraps from an object store using the ``recovery`` section and continuous recovery using both streaming replication and the given object store. For streaming replication, the replica cluster connects to the source cluster using basic authentication. You can check the `sample YAML `_ for it in the ``samples/`` subdirectory. Note the ``bootstrap`` and ``replica`` sections pointing to the source cluster. .. code:: yaml bootstrap: recovery: source: cluster-example replica: enabled: true source: cluster-example The previous configuration assumes that the application database and its owning user are set to the default, ``app`` . If the PostgreSQL cluster being restored uses different names, you must specify them as documented in :ref:`Configure the application database ` . You should also consider copying over the application user secret from the original cluster and keep it synchronized with the source. See :ref:`About PostgreSQL Roles ` for more details. In the ``externalClusters`` section, take care to use the right namespace in the ``endpointURL`` and the ``connectionParameters.host`` . And do ensure that the necessary secrets have been copied if necessary, and that a backup of the source cluster has been created already. .. code:: yaml externalClusters: - name: # Example with Barman Cloud Plugin plugin: name: barman-cloud.cloudnative-pg.io parameters: barmanObjectName: serverName: … connectionParameters: host: -rw.default.svc user: postgres dbname: postgres password: name: -superuser key: password .. Note:: To use streaming replication between the source cluster and the replica cluster, we need to make sure there is network connectivity between the two clusters, and that all the necessary secrets which hold passwords or certificates are properly created in advance. 　 Example using a Volume Snapshot ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ If you use volume snapshots and your storage class provides snapshots cross-cluster availability, you can leverage that to bootstrap a replica cluster through a volume snapshot of the source cluster. The **third example** defines a replica cluster that bootstraps from a volume snapshot using the ``recovery`` section. It uses streaming replication (via basic authentication) and the object store to fetch the WAL files. You can check the `sample YAML `_ for it in the ``samples/`` subdirectory. The example assumes that the application database and its owning user are set to the default, ``app`` . If the PostgreSQL cluster being restored uses different names, you must specify them as documented in :ref:`Configure theapplication database ` . You should also consider copying over the application user secret from the original cluster and keep it synchronized with the source. See :ref:`About PostgreSQL Roles ` for more details. Delayed replicas ---------------- CloudNativePG supports the creation of **delayed replicas** through the :ref:`.spec.replica.minApplyDelay ` , leveraging PostgreSQL’s `recovery_min_apply_delay `_ . Delayed replicas are designed to intentionally lag behind the primary database by a specified amount of time. This delay is configurable using the ``.spec.replica.minApplyDelay`` option, which maps to the underlying ``recovery_min_apply_delay`` parameter in PostgreSQL. The primary objective of delayed replicas is to mitigate the impact of unintended SQL statement executions on the primary database. This is especially useful in scenarios where operations such as ``UPDATE`` or ``DELETE`` are performed without a proper ``WHERE`` clause. To configure a delay in a replica cluster, adjust the ``.spec.replica.minApplyDelay`` option. This parameter determines how much time the replicas will lag behind the primary. For example: .. code:: yaml # ... replica: enabled: true source: cluster-example # Enforce a delay of 8 hours minApplyDelay: 8h # ... The above example helps safeguard against accidental data modifications by providing a buffer period of 8 hours to detect and correct issues before they propagate to the replicas. Monitor and adjust the delay as needed based on your recovery time objectives and the potential impact of unintended primary database operations. The main use cases of delayed replicas can be summarized into: 1. mitigating human errors: reduce the risk of data corruption or loss resulting from unintentional SQL operations on the primary database 2. recovery time optimization: facilitate quicker recovery from unintended changes by having a delayed replica that allows you to identify and rectify issues before changes are applied to other replicas. 3. enhanced data protection: safeguard critical data by introducing a time buffer that provides an opportunity to intervene and prevent the propagation of undesirable changes. .. Warning:: The `minApplyDelay` option of delayed replicas cannot be used in conjunction with `promotionToken` . 　 By integrating delayed replicas into your replication strategy, you can enhance the resilience and data protection capabilities of your PostgreSQL environment. Adjust the delay duration based on your specific needs and the criticality of your data. .. Note:: Always measure your goals. Depending on your environment, it might be more efficient to rely on volume snapshot-based recovery for faster outcomes. Evaluate and choose the approach that best aligns with your unique requirements and infrastructure.