Connection pooling

CloudNativePG provides native support for connection pooling with PgBouncer, one of the most popular open source connection poolers for PostgreSQL, through the Pooler custom resource definition (CRD).

In brief, a pooler in CloudNativePG is a deployment of PgBouncer pods that sits between your applications and a PostgreSQL service, for example, the rw service. It creates a separate, scalable, configurable, and highly available database access layer.

Architecture

The following diagram highlights how introducing a database access layer based on PgBouncer changes the architecture of CloudNativePG. Instead of directly connecting to the PostgreSQL primary service, applications can connect to the equivalent service for PgBouncer. This ability enables reuse of existing connections for faster performance and better resource management on the PostgreSQL side.

Quick start

This example helps to show how CloudNativePG implements a PgBouncer pooler:

apiVersion: postgresql.cnpg.io/v1
kind: Pooler
metadata:
  name: pooler-example-rw
spec:
  cluster:
    name: cluster-example

  instances: 3
  type: rw
  pgbouncer:
    poolMode: session
    parameters:
      max_client_conn: "1000"
      default_pool_size: "10"

This example creates a Pooler resource called pooler-example-rw that's strictly associated with the Postgres Cluster resource called cluster-example. It points to the primary, identified by the read/write service (rw, therefore cluster-example-rw).

The Pooler resource must live in the same namespace as the Postgres cluster. It consists of a Kubernetes deployment of 3 pods running the latest stable image of PgBouncer, configured with the session pooling mode and accepting up to 1000 connections each. The default pool size is 10 user/database pairs toward PostgreSQL.

CloudNativePG also creates a secret with the same name as the pooler containing the configuration files used with PgBouncer.

Pooler resource lifecycle

Pooler resources are not managed automatically by the operator. You create them manually when needed, and you can deploy multiple poolers for the same PostgreSQL cluster.

The key point to understand is that the lifecycles of the Cluster and Pooler resources are independent. Deleting a cluster does not automatically remove its poolers, and deleting a pooler does not affect the cluster.

Security

Any PgBouncer pooler is transparently integrated with CloudNativePG support for in-transit encryption by way of TLS connections, both on the client (application) and server (PostgreSQL) side of the pool.

Containers run as the pgbouncer system user, and access to the pgbouncer administration database is allowed only by way of local connections, through peer authentication.

Certificates

By default, a PgBouncer pooler reuses the same certificates as the PostgreSQL cluster. It relies on TLS client certificate authentication to connect to the PostgreSQL server and run the auth_query used for client password authentication (see "Authentication").

Supplying your own secrets disables the built-in integration. From that point, you gain complete control (and responsibility) for managing authentication. Supported secret formats are:

1. Basic Auth
2. TLS
3. Opaque

For Opaque secrets, the Pooler resource expects the following keys:

• tls.crt
• tls.key

In practice, this means you can treat an Opaque secret as a TLS secret, starting from the same structure.

Authentication

Default authentication method

By default, CloudNativePG natively supports password-based authentication for PgBouncer clients connecting to the PostgreSQL database.

This built-in mechanism leverages PgBouncer’s auth_dbname (introduced in version 1.19), together with the auth_user and auth_query options.

The built-in integration performs the following tasks:

• Creates a dedicated user called cnpg_pooler_pgbouncer in the PostgreSQL server
• Creates the lookup function in the postgres database and grants execution privileges to cnpg_pooler_pgbouncer (following PoLA principles)
• Issues a TLS certificate for this user
• Configures PgBouncer to use cnpg_pooler_pgbouncer as the auth_user and postgres as the auth_dbname
• Configures PgBouncer to authenticate cnpg_pooler_pgbouncer against PostgreSQL using the issued TLS certificate
• Cleans up all of the above automatically when no poolers are associated with the cluster

SQL instructions

As part of the built-in integration, CloudNativePG automatically executes a set of SQL statements during reconciliation. These statements are run by the instance manager using the postgres user against the postgres database.

Role creation:

CREATE ROLE cnpg_pooler_pgbouncer WITH LOGIN;

Grant access to the postgres database:

GRANT CONNECT ON DATABASE postgres TO cnpg_pooler_pgbouncer;

Create the lookup function for password verification. This function is created in the postgres database with SECURITY DEFINER privileges and is used by PgBouncer’s auth_query option:

CREATE OR REPLACE FUNCTION public.user_search(uname TEXT)
  RETURNS TABLE (usename name, passwd text)
  LANGUAGE sql SECURITY DEFINER AS
  'SELECT usename, passwd FROM pg_catalog.pg_shadow WHERE usename=$1;';

Restrict and grant permissions on the lookup function:

REVOKE ALL ON FUNCTION public.user_search(text)
  FROM public;

GRANT EXECUTE ON FUNCTION public.user_search(text)
  TO cnpg_pooler_pgbouncer;

Custom authentication method

Providing your own certificate secrets disables the built-in integration.

This gives you the flexibility — and responsibility — to manage the authentication process yourself. You can follow the instructions above to replicate similar behavior to the default setup.

Pod templates

You can take advantage of pod templates specification in the template section of a Pooler resource. For details, see PoolerSpec in the API reference.

Using templates, you can configure pods as you like, including fine control over affinity and anti-affinity rules for pods and nodes. By default, containers use images from ghcr.io/cloudnative-pg/pgbouncer.

This example shows Pooler specifying `PodAntiAffinity``:

apiVersion: postgresql.cnpg.io/v1
kind: Pooler
metadata:
  name: pooler-example-rw
spec:
  cluster:
    name: cluster-example
  instances: 3
  type: rw

  template:
    metadata:
      labels:
        app: pooler
    spec:
      containers: []
      affinity:
        podAntiAffinity:
          requiredDuringSchedulingIgnoredDuringExecution:
          - labelSelector:
              matchExpressions:
              - key: app
                operator: In
                values:
                - pooler
            topologyKey: "kubernetes.io/hostname"

This example sets resources and changes the used image:

apiVersion: postgresql.cnpg.io/v1
kind: Pooler
metadata:
  name: pooler-example-rw
spec:
  cluster:
    name: cluster-example
  instances: 3
  type: rw

  template:
    metadata:
      labels:
        app: pooler
    spec:
      containers:
        - name: pgbouncer
          image: my-pgbouncer:latest
          resources:
            requests:
              cpu: "0.1"
              memory: 100Mi
            limits:
              cpu: "0.5"
              memory: 500Mi

Service Template

Sometimes, your pooler will require some different labels, annotations, or even change the type of the service, you can achieve that by using the serviceTemplate field:

apiVersion: postgresql.cnpg.io/v1
kind: Pooler
metadata:
  name: pooler-example-rw
spec:
  cluster:
    name: cluster-example
  instances: 3
  type: rw
  serviceTemplate:
    metadata:
      labels:
        app: pooler
    spec:
      type: LoadBalancer
  pgbouncer:
    poolMode: session
    parameters:
      max_client_conn: "1000"
      default_pool_size: "10"

The operator by default adds a ServicePort with the following data:

  ports:
  - name: pgbouncer
    port: 5432
    protocol: TCP
    targetPort: pgbouncer

High availability (HA)

Because of Kubernetes' deployments, you can configure your pooler to run on a single instance or over multiple pods. The exposed service makes sure that your clients are randomly distributed over the available pods running PgBouncer, which then manages and reuses connections toward the underlying server (if using the rw service) or servers (if using the ro service with multiple replicas).

PgBouncer configuration options

The operator manages most of the configuration options for PgBouncer, allowing you to modify only a subset of them.

These are the PgBouncer options you can customize, with links to the PgBouncer documentation for each parameter. Unless stated otherwise, the default values are the ones directly set by PgBouncer.

• auth_type
• application_name_add_host
• autodb_idle_timeout
• cancel_wait_timeout
• client_idle_timeout
• client_login_timeout
• client_tls_sslmode
• default_pool_size
• disable_pqexec
• dns_max_ttl
• dns_nxdomain_ttl
• idle_transaction_timeout
• ignore_startup_parameters: to be appended to extra_float_digits,options - required by CloudNativePG
• listen_backlog
• log_connections
• log_disconnections
• log_pooler_errors
• log_stats: by default disabled (0), given that statistics are already collected by the Prometheus export as described in the "Monitoring" section below
• max_client_conn
• max_db_connections
• max_packet_size
• max_prepared_statements
• max_user_connections
• min_pool_size
• pkt_buf
• query_timeout
• query_wait_timeout
• reserve_pool_size
• reserve_pool_timeout
• sbuf_loopcnt
• server_check_delay
• server_check_query
• server_connect_timeout
• server_fast_close
• server_idle_timeout
• server_lifetime
• server_login_retry
• server_reset_query
• server_reset_query_always
• server_round_robin
• server_tls_ciphers
• server_tls_protocols
• server_tls_sslmode
• stats_period
• suspend_timeout
• tcp_defer_accept
• tcp_keepalive
• tcp_keepcnt
• tcp_keepidle
• tcp_keepintvl
• tcp_user_timeout
• tcp_socket_buffer
• track_extra_parameters
• verbose

Customizations of the PgBouncer configuration are written declaratively in the .spec.pgbouncer.parameters map.

The operator reacts to the changes in the pooler specification, and every PgBouncer instance reloads the updated configuration without disrupting the service.

Monitoring

The PgBouncer implementation of the Pooler comes with a default Prometheus exporter. It makes available several metrics having the cnpg_pgbouncer_ prefix by running:

• SHOW LISTS (prefix: cnpg_pgbouncer_lists)
• SHOW POOLS (prefix: cnpg_pgbouncer_pools)
• SHOW STATS (prefix: cnpg_pgbouncer_stats)

Like the CloudNativePG instance, the exporter runs on port 9127 of each pod running PgBouncer and also provides metrics related to the Go runtime (with the prefix go_*).

This example shows the output for cnpg_pgbouncer metrics:

# HELP cnpg_pgbouncer_collection_duration_seconds Collection time duration in seconds
# TYPE cnpg_pgbouncer_collection_duration_seconds gauge
cnpg_pgbouncer_collection_duration_seconds{collector="Collect.up"} 0.002338805
# HELP cnpg_pgbouncer_collection_errors_total Total errors occurred accessing PostgreSQL for metrics.
# TYPE cnpg_pgbouncer_collection_errors_total counter
cnpg_pgbouncer_collection_errors_total{collector="sql: Scan error on column index 16, name \"load_balance_hosts\": converting NULL to int is unsupported"} 5
# HELP cnpg_pgbouncer_collections_total Total number of times PostgreSQL was accessed for metrics.
# TYPE cnpg_pgbouncer_collections_total counter
cnpg_pgbouncer_collections_total 5
# HELP cnpg_pgbouncer_last_collection_error 1 if the last collection ended with error, 0 otherwise.
# TYPE cnpg_pgbouncer_last_collection_error gauge
cnpg_pgbouncer_last_collection_error 0
# HELP cnpg_pgbouncer_lists_databases Count of databases.
# TYPE cnpg_pgbouncer_lists_databases gauge
cnpg_pgbouncer_lists_databases 1
# HELP cnpg_pgbouncer_lists_dns_names Count of DNS names in the cache.
# TYPE cnpg_pgbouncer_lists_dns_names gauge
cnpg_pgbouncer_lists_dns_names 0
# HELP cnpg_pgbouncer_lists_dns_pending Not used.
# TYPE cnpg_pgbouncer_lists_dns_pending gauge
cnpg_pgbouncer_lists_dns_pending 0
# HELP cnpg_pgbouncer_lists_dns_queries Count of in-flight DNS queries.
# TYPE cnpg_pgbouncer_lists_dns_queries gauge
cnpg_pgbouncer_lists_dns_queries 0
# HELP cnpg_pgbouncer_lists_dns_zones Count of DNS zones in the cache.
# TYPE cnpg_pgbouncer_lists_dns_zones gauge
cnpg_pgbouncer_lists_dns_zones 0
# HELP cnpg_pgbouncer_lists_free_clients Count of free clients.
# TYPE cnpg_pgbouncer_lists_free_clients gauge
cnpg_pgbouncer_lists_free_clients 49
# HELP cnpg_pgbouncer_lists_free_servers Count of free servers.
# TYPE cnpg_pgbouncer_lists_free_servers gauge
cnpg_pgbouncer_lists_free_servers 0
# HELP cnpg_pgbouncer_lists_login_clients Count of clients in login state.
# TYPE cnpg_pgbouncer_lists_login_clients gauge
cnpg_pgbouncer_lists_login_clients 0
# HELP cnpg_pgbouncer_lists_pools Count of pools.
# TYPE cnpg_pgbouncer_lists_pools gauge
cnpg_pgbouncer_lists_pools 1
# HELP cnpg_pgbouncer_lists_used_clients Count of used clients.
# TYPE cnpg_pgbouncer_lists_used_clients gauge
cnpg_pgbouncer_lists_used_clients 1
# HELP cnpg_pgbouncer_lists_used_servers Count of used servers.
# TYPE cnpg_pgbouncer_lists_used_servers gauge
cnpg_pgbouncer_lists_used_servers 0
# HELP cnpg_pgbouncer_lists_users Count of users.
# TYPE cnpg_pgbouncer_lists_users gauge
cnpg_pgbouncer_lists_users 2
# HELP cnpg_pgbouncer_pools_cl_active Client connections that are linked to server connection and can process queries.
# TYPE cnpg_pgbouncer_pools_cl_active gauge
cnpg_pgbouncer_pools_cl_active{database="pgbouncer",user="pgbouncer"} 1
# HELP cnpg_pgbouncer_pools_cl_active_cancel_req Client connections that have forwarded query cancellations to the server and are waiting for the server response.
# TYPE cnpg_pgbouncer_pools_cl_active_cancel_req gauge
cnpg_pgbouncer_pools_cl_active_cancel_req{database="pgbouncer",user="pgbouncer"} 0
# HELP cnpg_pgbouncer_pools_cl_cancel_req Client connections that have not forwarded query cancellations to the server yet.
# TYPE cnpg_pgbouncer_pools_cl_cancel_req gauge
cnpg_pgbouncer_pools_cl_cancel_req{database="pgbouncer",user="pgbouncer"} 0
# HELP cnpg_pgbouncer_pools_cl_waiting Client connections that have sent queries but have not yet got a server connection.
# TYPE cnpg_pgbouncer_pools_cl_waiting gauge
cnpg_pgbouncer_pools_cl_waiting{database="pgbouncer",user="pgbouncer"} 0
# HELP cnpg_pgbouncer_pools_cl_waiting_cancel_req Client connections that have not forwarded query cancellations to the server yet.
# TYPE cnpg_pgbouncer_pools_cl_waiting_cancel_req gauge
cnpg_pgbouncer_pools_cl_waiting_cancel_req{database="pgbouncer",user="pgbouncer"} 0
# HELP cnpg_pgbouncer_pools_load_balance_hosts Number of hosts not load balancing between hosts
# TYPE cnpg_pgbouncer_pools_load_balance_hosts gauge
cnpg_pgbouncer_pools_load_balance_hosts{database="pgbouncer",user="pgbouncer"} 0
# HELP cnpg_pgbouncer_pools_maxwait How long the first (oldest) client in the queue has waited, in seconds. If this starts increasing, then the current pool of servers does not handle requests quickly enough. The reason may be either an overloaded server or just too small of a pool_size setting.
# TYPE cnpg_pgbouncer_pools_maxwait gauge
cnpg_pgbouncer_pools_maxwait{database="pgbouncer",user="pgbouncer"} 0
# HELP cnpg_pgbouncer_pools_maxwait_us Microsecond part of the maximum waiting time.
# TYPE cnpg_pgbouncer_pools_maxwait_us gauge
cnpg_pgbouncer_pools_maxwait_us{database="pgbouncer",user="pgbouncer"} 0
# HELP cnpg_pgbouncer_pools_pool_mode The pooling mode in use. 1 for session, 2 for transaction, 3 for statement, -1 if unknown
# TYPE cnpg_pgbouncer_pools_pool_mode gauge
cnpg_pgbouncer_pools_pool_mode{database="pgbouncer",user="pgbouncer"} 3
# HELP cnpg_pgbouncer_pools_sv_active Server connections that are linked to a client.
# TYPE cnpg_pgbouncer_pools_sv_active gauge
cnpg_pgbouncer_pools_sv_active{database="pgbouncer",user="pgbouncer"} 0
# HELP cnpg_pgbouncer_pools_sv_active_cancel Server connections that are currently forwarding a cancel request
# TYPE cnpg_pgbouncer_pools_sv_active_cancel gauge
cnpg_pgbouncer_pools_sv_active_cancel{database="pgbouncer",user="pgbouncer"} 0
# HELP cnpg_pgbouncer_pools_sv_idle Server connections that are unused and immediately usable for client queries.
# TYPE cnpg_pgbouncer_pools_sv_idle gauge
cnpg_pgbouncer_pools_sv_idle{database="pgbouncer",user="pgbouncer"} 0
# HELP cnpg_pgbouncer_pools_sv_login Server connections currently in the process of logging in.
# TYPE cnpg_pgbouncer_pools_sv_login gauge
cnpg_pgbouncer_pools_sv_login{database="pgbouncer",user="pgbouncer"} 0
# HELP cnpg_pgbouncer_pools_sv_tested Server connections that are currently running either server_reset_query or server_check_query.
# TYPE cnpg_pgbouncer_pools_sv_tested gauge
cnpg_pgbouncer_pools_sv_tested{database="pgbouncer",user="pgbouncer"} 0
# HELP cnpg_pgbouncer_pools_sv_used Server connections that have been idle for more than server_check_delay, so they need server_check_query to run on them before they can be used again.
# TYPE cnpg_pgbouncer_pools_sv_used gauge
cnpg_pgbouncer_pools_sv_used{database="pgbouncer",user="pgbouncer"} 0
# HELP cnpg_pgbouncer_pools_sv_wait_cancels Servers that normally could become idle, but are waiting to do so until all in-flight cancel requests have completed that were sent to cancel a query on this server.
# TYPE cnpg_pgbouncer_pools_sv_wait_cancels gauge
cnpg_pgbouncer_pools_sv_wait_cancels{database="pgbouncer",user="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_avg_bind_count Average number of prepared statements readied for execution by clients and forwarded to PostgreSQL by pgbouncer.
# TYPE cnpg_pgbouncer_stats_avg_bind_count gauge
cnpg_pgbouncer_stats_avg_bind_count{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_avg_client_parse_count Average number of prepared statements created by clients.
# TYPE cnpg_pgbouncer_stats_avg_client_parse_count gauge
cnpg_pgbouncer_stats_avg_client_parse_count{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_avg_query_count Average queries per second in last stat period.
# TYPE cnpg_pgbouncer_stats_avg_query_count gauge
cnpg_pgbouncer_stats_avg_query_count{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_avg_query_time Average query duration, in microseconds.
# TYPE cnpg_pgbouncer_stats_avg_query_time gauge
cnpg_pgbouncer_stats_avg_query_time{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_avg_recv Average received (from clients) bytes per second.
# TYPE cnpg_pgbouncer_stats_avg_recv gauge
cnpg_pgbouncer_stats_avg_recv{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_avg_sent Average sent (to clients) bytes per second.
# TYPE cnpg_pgbouncer_stats_avg_sent gauge
cnpg_pgbouncer_stats_avg_sent{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_avg_server_parse_count Average number of prepared statements created by pgbouncer on a server.
# TYPE cnpg_pgbouncer_stats_avg_server_parse_count gauge
cnpg_pgbouncer_stats_avg_server_parse_count{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_avg_wait_time Time spent by clients waiting for a server, in microseconds (average per second).
# TYPE cnpg_pgbouncer_stats_avg_wait_time gauge
cnpg_pgbouncer_stats_avg_wait_time{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_avg_xact_count Average transactions per second in last stat period.
# TYPE cnpg_pgbouncer_stats_avg_xact_count gauge
cnpg_pgbouncer_stats_avg_xact_count{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_avg_xact_time Average transaction duration, in microseconds.
# TYPE cnpg_pgbouncer_stats_avg_xact_time gauge
cnpg_pgbouncer_stats_avg_xact_time{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_total_bind_count Total number of prepared statements readied for execution by clients and forwarded to PostgreSQL by pgbouncer
# TYPE cnpg_pgbouncer_stats_total_bind_count gauge
cnpg_pgbouncer_stats_total_bind_count{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_total_client_parse_count Total number of prepared statements created by clients.
# TYPE cnpg_pgbouncer_stats_total_client_parse_count gauge
cnpg_pgbouncer_stats_total_client_parse_count{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_total_query_count Total number of SQL queries pooled by pgbouncer.
# TYPE cnpg_pgbouncer_stats_total_query_count gauge
cnpg_pgbouncer_stats_total_query_count{database="pgbouncer"} 15
# HELP cnpg_pgbouncer_stats_total_query_time Total number of microseconds spent by pgbouncer when actively connected to PostgreSQL, executing queries.
# TYPE cnpg_pgbouncer_stats_total_query_time gauge
cnpg_pgbouncer_stats_total_query_time{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_total_received Total volume in bytes of network traffic received by pgbouncer.
# TYPE cnpg_pgbouncer_stats_total_received gauge
cnpg_pgbouncer_stats_total_received{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_total_sent Total volume in bytes of network traffic sent by pgbouncer.
# TYPE cnpg_pgbouncer_stats_total_sent gauge
cnpg_pgbouncer_stats_total_sent{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_total_server_parse_count Total number of prepared statements created by pgbouncer on a server.
# TYPE cnpg_pgbouncer_stats_total_server_parse_count gauge
cnpg_pgbouncer_stats_total_server_parse_count{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_total_wait_time Time spent by clients waiting for a server, in microseconds.
# TYPE cnpg_pgbouncer_stats_total_wait_time gauge
cnpg_pgbouncer_stats_total_wait_time{database="pgbouncer"} 0
# HELP cnpg_pgbouncer_stats_total_xact_count Total number of SQL transactions pooled by pgbouncer.
# TYPE cnpg_pgbouncer_stats_total_xact_count gauge
cnpg_pgbouncer_stats_total_xact_count{database="pgbouncer"} 15
# HELP cnpg_pgbouncer_stats_total_xact_time Total number of microseconds spent by pgbouncer when connected to PostgreSQL in a transaction, either idle in transaction or executing queries.
# TYPE cnpg_pgbouncer_stats_total_xact_time gauge
cnpg_pgbouncer_stats_total_xact_time{database="pgbouncer"} 0

As for clusters, a specific pooler can be monitored using the Prometheus operator's PodMonitor resource.

You can deploy a PodMonitor for a specific pooler using the following basic example, and change it as needed:

apiVersion: monitoring.coreos.com/v1
kind: PodMonitor
metadata:
  name: <POOLER_NAME>
spec:
  selector:
    matchLabels:
      cnpg.io/poolerName: <POOLER_NAME>
  podMetricsEndpoints:
  - port: metrics

Deprecation of Automatic PodMonitor Creation

If you are currently using this feature, we strongly recommend you either remove or set .spec.monitoring.enablePodMonitor to false and manually create a PodMonitor resource for your pooler as described above. This change ensures that you have complete ownership of your monitoring configuration, preventing it from being managed or overwritten by the operator.

Logging

Logs are directly sent to standard output, in JSON format, like in the following example:

{
  "level": "info",
  "ts": SECONDS.MICROSECONDS,
  "msg": "record",
  "pipe": "stderr",
  "record": {
    "timestamp": "YYYY-MM-DD HH:MM:SS.MS UTC",
    "pid": "<PID>",
    "level": "LOG",
    "msg": "kernel file descriptor limit: 1048576 (hard: 1048576); max_client_conn: 100, max expected fd use: 112"
  }
}

Pausing connections

The Pooler specification allows you to take advantage of PgBouncer's PAUSE and RESUME commands, using only declarative configuration. You can ado this using the paused option, which by default is set to false. When set to true, the operator internally invokes the PAUSE command in PgBouncer, which:

1. Closes all active connections toward the PostgreSQL server, after waiting for the queries to complete
2. Pauses any new connection coming from the client

When the paused option is reset to false, the operator invokes the RESUME command in PgBouncer, reopening the taps toward the PostgreSQL service defined in the Pooler resource.

Limitations

Single PostgreSQL cluster

The current implementation of the pooler is designed to work as part of a specific CloudNativePG cluster (a service). It isn't currently possible to create a pooler that spans multiple clusters.

Controlled configurability

CloudNativePG transparently manages several configuration options that are used for the PgBouncer layer to communicate with PostgreSQL. Such options aren't configurable from outside and include TLS certificates, authentication settings, the databases section, and the users section. Also, considering the specific use case for the single PostgreSQL cluster, the adopted criteria is to explicitly list the options that can be configured by users.