Connection pooling v1

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EDB Postgres for Kubernetes 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 EDB Postgres for Kubernetes 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 EDB Postgres for Kubernetes. 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.

Applications writing to the single primary via PgBouncer

Quick start

This example helps to show how EDB Postgres for Kubernetes implements a PgBouncer pooler:

apiVersion: postgresql.k8s.enterprisedb.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"
Important

The pooler name can't be the same as any cluster name in the same namespace.

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.

Important

The Pooler resource sets only the * fallback database in PgBouncer. This setting means that that all parameters in the connection strings passed from the client are relayed to the PostgreSQL server. For details, see "Section [databases]" in the PgBouncer documentation.

EDB Postgres for Kubernetes also creates a secret with the same name as the pooler containing the configuration files used with PgBouncer.

API reference

For details, see PgBouncerSpec in the API reference.

Pooler resource lifecycle

Pooler resources aren't cluster-managed resources. You create poolers manually when they're needed. You can also deploy multiple poolers per PostgreSQL cluster.

What's important is that the life cycles of the Cluster and the Pooler resources are currently independent. Deleting the cluster doesn't imply the deletion of the pooler, and vice versa.

Important

Once you know how a pooler works, you have full freedom in terms of possible architectures. You can have clusters without poolers, clusters with a single pooler, or clusters with several poolers, that is, one per application.

Important

When the operator is upgraded, the pooler pods will undergo a rolling upgrade. This is necessary to ensure that the instance manager within the pooler pods is also upgraded.

Security

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

Specifically, PgBouncer reuses the certificates of the PostgreSQL server. It also uses TLS client certificate authentication to connect to the PostgreSQL server to run the auth_query for clients' password authentication (see Authentication).

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

Certificates

By default, a PgBouncer pooler uses the same certificates that are used by the cluster. However, if you provide those certificates, the pooler accepts secrets with the following formats:

  1. Basic Auth
  2. TLS
  3. Opaque

In the Opaque case, it looks for the following specific keys that need to be used:

  • tls.crt
  • tls.key

So you can treat this secret as a TLS secret, and start from there.

Authentication

Password-based authentication is the only supported method for clients of PgBouncer in EDB Postgres for Kubernetes.

Internally, the implementation relies on PgBouncer's auth_user and auth_query options. Specifically, the operator:

  • Creates a standard user called cnp_pooler_pgbouncer in the PostgreSQL server
  • Creates the lookup function in the postgres database and grants execution privileges to the cnp_pooler_pgbouncer user (PoLA)
  • Issues a TLS certificate for this user
  • Sets cnp_pooler_pgbouncer as the auth_user
  • Configures PgBouncer to use the TLS certificate to authenticate cnp_pooler_pgbouncer against the PostgreSQL server
  • Removes all the above when it detects that a cluster doesn't have any pooler associated to it
Important

If you specify your own secrets, the operator doesn't automatically integrate the pooler.

To manually integrate the pooler, if you specified your own secrets, you must run the following queries from inside your cluster.

First, you must create the role:

CREATE ROLE cnp_pooler_pgbouncer WITH LOGIN;

Then, for each application database, grant the permission for cnp_pooler_pgbouncer to connect to it:

GRANT CONNECT ON DATABASE { database name here } TO cnp_pooler_pgbouncer;

Finally, as a superuser connect in each application database, and then create the authentication function inside each of the application databases:

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;';

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

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

Given that user_search is a SECURITY DEFINER function, you need to create it through a role with SUPERUSER privileges, such as the postgres user.

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 quay.io/enterprisedb/pgbouncer.

This example shows Pooler specifying `PodAntiAffinity``:

apiVersion: postgresql.k8s.enterprisedb.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"
Note

Explicitly set .spec.template.spec.containers to [] when not modified, as it's a required field for a PodSpec. If .spec.template.spec.containers isn't set, the Kubernetes api-server returns the following error when trying to apply the manifest:error validating "pooler.yaml": error validating data: ValidationError(Pooler.spec.template.spec): missing required field "containers"

This example sets resources and changes the used image:

apiVersion: postgresql.k8s.enterprisedb.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.k8s.enterprisedb.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
Warning

Specifying a ServicePort with the name pgbouncer or the port 5432 will prevent the default ServicePort from being added. This because ServicePort entries with the same name or port are not allowed on Kubernetes and result in errors.

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).

Warning

If your infrastructure spans multiple availability zones with high latency across them, be aware of network hops. Consider, for example, the case of your application running in zone 2, connecting to PgBouncer running in zone 3, and pointing to the PostgreSQL primary in zone 1.

PgBouncer configuration options

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

Warning

You are responsible for correctly setting the value of each option, as the operator doesn't validate 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.

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.

Warning

Every PgBouncer pod has the same configuration, aligned with the parameters in the specification. A mistake in these parameters might disrupt the operability of the whole pooler. The operator doesn't validate the value of any option.

Monitoring

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

  • SHOW LISTS (prefix: cnp_pgbouncer_lists)
  • SHOW POOLS (prefix: cnp_pgbouncer_pools)
  • SHOW STATS (prefix: cnp_pgbouncer_stats)

Like the EDB Postgres for Kubernetes 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_*).

Info

You can inspect the exported metrics on a pod running PgBouncer. For instructions, see How to inspect the exported metrics. Make sure that you use the correct IP and the 9127 port.

This example shows the output for cnp_pgbouncer metrics:

# HELP cnp_pgbouncer_collection_duration_seconds Collection time duration in seconds
# TYPE cnp_pgbouncer_collection_duration_seconds gauge
cnp_pgbouncer_collection_duration_seconds{collector="Collect.up"} 0.002443168

# HELP cnp_pgbouncer_collections_total Total number of times PostgreSQL was accessed for metrics.
# TYPE cnp_pgbouncer_collections_total counter
cnp_pgbouncer_collections_total 1

# HELP cnp_pgbouncer_last_collection_error 1 if the last collection ended with error, 0 otherwise.
# TYPE cnp_pgbouncer_last_collection_error gauge
cnp_pgbouncer_last_collection_error 0

# HELP cnp_pgbouncer_lists_databases Count of databases.
# TYPE cnp_pgbouncer_lists_databases gauge
cnp_pgbouncer_lists_databases 1

# HELP cnp_pgbouncer_lists_dns_names Count of DNS names in the cache.
# TYPE cnp_pgbouncer_lists_dns_names gauge
cnp_pgbouncer_lists_dns_names 0

# HELP cnp_pgbouncer_lists_dns_pending Not used.
# TYPE cnp_pgbouncer_lists_dns_pending gauge
cnp_pgbouncer_lists_dns_pending 0

# HELP cnp_pgbouncer_lists_dns_queries Count of in-flight DNS queries.
# TYPE cnp_pgbouncer_lists_dns_queries gauge
cnp_pgbouncer_lists_dns_queries 0

# HELP cnp_pgbouncer_lists_dns_zones Count of DNS zones in the cache.
# TYPE cnp_pgbouncer_lists_dns_zones gauge
cnp_pgbouncer_lists_dns_zones 0

# HELP cnp_pgbouncer_lists_free_clients Count of free clients.
# TYPE cnp_pgbouncer_lists_free_clients gauge
cnp_pgbouncer_lists_free_clients 49

# HELP cnp_pgbouncer_lists_free_servers Count of free servers.
# TYPE cnp_pgbouncer_lists_free_servers gauge
cnp_pgbouncer_lists_free_servers 0

# HELP cnp_pgbouncer_lists_login_clients Count of clients in login state.
# TYPE cnp_pgbouncer_lists_login_clients gauge
cnp_pgbouncer_lists_login_clients 0

# HELP cnp_pgbouncer_lists_pools Count of pools.
# TYPE cnp_pgbouncer_lists_pools gauge
cnp_pgbouncer_lists_pools 1

# HELP cnp_pgbouncer_lists_used_clients Count of used clients.
# TYPE cnp_pgbouncer_lists_used_clients gauge
cnp_pgbouncer_lists_used_clients 1

# HELP cnp_pgbouncer_lists_used_servers Count of used servers.
# TYPE cnp_pgbouncer_lists_used_servers gauge
cnp_pgbouncer_lists_used_servers 0

# HELP cnp_pgbouncer_lists_users Count of users.
# TYPE cnp_pgbouncer_lists_users gauge
cnp_pgbouncer_lists_users 2

# HELP cnp_pgbouncer_pools_cl_active Client connections that are linked to server connection and can process queries.
# TYPE cnp_pgbouncer_pools_cl_active gauge
cnp_pgbouncer_pools_cl_active{database="pgbouncer",user="pgbouncer"} 1

# HELP cnp_pgbouncer_pools_cl_cancel_req Client connections that have not forwarded query cancellations to the server yet.
# TYPE cnp_pgbouncer_pools_cl_cancel_req gauge
cnp_pgbouncer_pools_cl_cancel_req{database="pgbouncer",user="pgbouncer"} 0

# HELP cnp_pgbouncer_pools_cl_waiting Client connections that have sent queries but have not yet got a server connection.
# TYPE cnp_pgbouncer_pools_cl_waiting gauge
cnp_pgbouncer_pools_cl_waiting{database="pgbouncer",user="pgbouncer"} 0

# HELP cnp_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 cnp_pgbouncer_pools_maxwait gauge
cnp_pgbouncer_pools_maxwait{database="pgbouncer",user="pgbouncer"} 0

# HELP cnp_pgbouncer_pools_maxwait_us Microsecond part of the maximum waiting time.
# TYPE cnp_pgbouncer_pools_maxwait_us gauge
cnp_pgbouncer_pools_maxwait_us{database="pgbouncer",user="pgbouncer"} 0

# HELP cnp_pgbouncer_pools_pool_mode The pooling mode in use. 1 for session, 2 for transaction, 3 for statement, -1 if unknown
# TYPE cnp_pgbouncer_pools_pool_mode gauge
cnp_pgbouncer_pools_pool_mode{database="pgbouncer",user="pgbouncer"} 3

# HELP cnp_pgbouncer_pools_sv_active Server connections that are linked to a client.
# TYPE cnp_pgbouncer_pools_sv_active gauge
cnp_pgbouncer_pools_sv_active{database="pgbouncer",user="pgbouncer"} 0

# HELP cnp_pgbouncer_pools_sv_idle Server connections that are unused and immediately usable for client queries.
# TYPE cnp_pgbouncer_pools_sv_idle gauge
cnp_pgbouncer_pools_sv_idle{database="pgbouncer",user="pgbouncer"} 0

# HELP cnp_pgbouncer_pools_sv_login Server connections currently in the process of logging in.
# TYPE cnp_pgbouncer_pools_sv_login gauge
cnp_pgbouncer_pools_sv_login{database="pgbouncer",user="pgbouncer"} 0

# HELP cnp_pgbouncer_pools_sv_tested Server connections that are currently running either server_reset_query or server_check_query.
# TYPE cnp_pgbouncer_pools_sv_tested gauge
cnp_pgbouncer_pools_sv_tested{database="pgbouncer",user="pgbouncer"} 0

# HELP cnp_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 cnp_pgbouncer_pools_sv_used gauge
cnp_pgbouncer_pools_sv_used{database="pgbouncer",user="pgbouncer"} 0

# HELP cnp_pgbouncer_stats_avg_query_count Average queries per second in last stat period.
# TYPE cnp_pgbouncer_stats_avg_query_count gauge
cnp_pgbouncer_stats_avg_query_count{database="pgbouncer"} 1

# HELP cnp_pgbouncer_stats_avg_query_time Average query duration, in microseconds.
# TYPE cnp_pgbouncer_stats_avg_query_time gauge
cnp_pgbouncer_stats_avg_query_time{database="pgbouncer"} 0

# HELP cnp_pgbouncer_stats_avg_recv Average received (from clients) bytes per second.
# TYPE cnp_pgbouncer_stats_avg_recv gauge
cnp_pgbouncer_stats_avg_recv{database="pgbouncer"} 0

# HELP cnp_pgbouncer_stats_avg_sent Average sent (to clients) bytes per second.
# TYPE cnp_pgbouncer_stats_avg_sent gauge
cnp_pgbouncer_stats_avg_sent{database="pgbouncer"} 0

# HELP cnp_pgbouncer_stats_avg_wait_time Time spent by clients waiting for a server, in microseconds (average per second).
# TYPE cnp_pgbouncer_stats_avg_wait_time gauge
cnp_pgbouncer_stats_avg_wait_time{database="pgbouncer"} 0

# HELP cnp_pgbouncer_stats_avg_xact_count Average transactions per second in last stat period.
# TYPE cnp_pgbouncer_stats_avg_xact_count gauge
cnp_pgbouncer_stats_avg_xact_count{database="pgbouncer"} 1

# HELP cnp_pgbouncer_stats_avg_xact_time Average transaction duration, in microseconds.
# TYPE cnp_pgbouncer_stats_avg_xact_time gauge
cnp_pgbouncer_stats_avg_xact_time{database="pgbouncer"} 0

# HELP cnp_pgbouncer_stats_total_query_count Total number of SQL queries pooled by pgbouncer.
# TYPE cnp_pgbouncer_stats_total_query_count gauge
cnp_pgbouncer_stats_total_query_count{database="pgbouncer"} 3

# HELP cnp_pgbouncer_stats_total_query_time Total number of microseconds spent by pgbouncer when actively connected to PostgreSQL, executing queries.
# TYPE cnp_pgbouncer_stats_total_query_time gauge
cnp_pgbouncer_stats_total_query_time{database="pgbouncer"} 0

# HELP cnp_pgbouncer_stats_total_received Total volume in bytes of network traffic received by pgbouncer.
# TYPE cnp_pgbouncer_stats_total_received gauge
cnp_pgbouncer_stats_total_received{database="pgbouncer"} 0

# HELP cnp_pgbouncer_stats_total_sent Total volume in bytes of network traffic sent by pgbouncer.
# TYPE cnp_pgbouncer_stats_total_sent gauge
cnp_pgbouncer_stats_total_sent{database="pgbouncer"} 0

# HELP cnp_pgbouncer_stats_total_wait_time Time spent by clients waiting for a server, in microseconds.
# TYPE cnp_pgbouncer_stats_total_wait_time gauge
cnp_pgbouncer_stats_total_wait_time{database="pgbouncer"} 0

# HELP cnp_pgbouncer_stats_total_xact_count Total number of SQL transactions pooled by pgbouncer.
# TYPE cnp_pgbouncer_stats_total_xact_count gauge
cnp_pgbouncer_stats_total_xact_count{database="pgbouncer"} 3

# HELP cnp_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 cnp_pgbouncer_stats_total_xact_time gauge
cnp_pgbouncer_stats_total_xact_time{database="pgbouncer"} 0

As for clusters, a specific pooler can be monitored using the Prometheus operator's resource PodMonitor. A PodMonitor correctly pointing to a pooler can be created by the operator by setting .spec.monitoring.enablePodMonitor to true in the Pooler resource. The default is false.

Important

Any change to PodMonitor created automatically is overridden by the operator at the next reconciliation cycle. If you need to customize it, you can do so as shown in the following example.

To deploy a PodMonitor for a specific pooler manually, you can define it as follows and change it as needed:

apiVersion: monitoring.coreos.com/v1
kind: PodMonitor
metadata:
  name: <POOLER_NAME>
spec:
  selector:
    matchLabels:
      k8s.enterprisedb.io/poolerName: <POOLER_NAME>
  podMetricsEndpoints:
  - port: metrics

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.

PAUSE

For more information, see PAUSE in the PgBouncer documentation.

Important

In future versions, the switchover operation will be fully integrated with the PgBouncer pooler and take advantage of the PAUSE/RESUME features to reduce the perceived downtime by client applications. Currently, you can achieve the same results by setting the paused attribute to true, issuing the switchover command through the cnp plugin, and then restoring the paused attribute to false.

Limitations

Single PostgreSQL cluster

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

Controlled configurability

EDB Postgres for Kubernetes 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.

Note

The adopted solution likely addresses the majority of use cases. It leaves room for the future implementation of a separate operator for PgBouncer to complete the gamma with more advanced and customized scenarios.

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