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Running PgBouncer
This tutorial will show you how to use KubeDB to run a PgBouncer.
Before You Begin
At first, you need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using kind.
Now, install KubeDB cli on your workstation and KubeDB operator in your cluster following the steps here.
To keep things isolated, this tutorial uses a separate namespace called demo
throughout this tutorial.
$ kubectl create ns demo
namespace/demo created
Note: YAML files used in this tutorial are stored in docs/examples/pgbouncer folder in GitHub repository kubedb/docs.
We have designed this tutorial to demonstrate a production setup of KubeDB managed PgBouncer. If you just want to try out KubeDB, you can bypass some of the safety features following the tips here.
Find Available PgBouncerVersion
When you have installed KubeDB, it has created PgBouncerVersion
crd for all supported PgBouncer versions. Let’s check available PgBouncerVersion by,
$ kubectl get pgbouncerversions
NAME VERSION PGBOUNCER_IMAGE DEPRECATED AGE
1.17.0 1.17.0 kubedb/pgbouncer:1.17.0 2d23h
Notice the DEPRECATED
column. Here, true
means that this PgBouncerVersion is deprecated for current KubeDB version. KubeDB will not work for deprecated PgBouncerVersion.
In this tutorial, we will use 1.17.0
PgBouncerVersion crd to create PgBouncer. To know more about what PgBouncerVersion
crd is, please visit here. You can also see supported PgBouncerVersion here.
Get PostgreSQL Server ready
PgBouncer is a connection-pooling middleware for PostgreSQL. Therefore you will need to have a PostgreSQL server up and running for PgBouncer to connect to.
Luckily PostgreSQL is readily available in KubeDB as crd and can easily be deployed using this guide here.
In this tutorial, we will use a Postgres named quick-postgres
in the demo
namespace.
$ kubectl create -f https://github.com/kubedb/docs/raw/v2022.10.18/docs/examples/pgbouncer/quickstart/quick-postgres.yaml
postgres.kubedb.com/quick-postgres created
KubeDB creates all the necessary resources including services, secrets, and appbindings to get this server up and running. A default database postgres
is created in quick-postgres
. Database secret quick-postgres-auth
holds this user’s username and password. Following is the yaml file for it.
$ kubectl get secrets -n demo quick-postgres-auth -o yaml
apiVersion: v1
data:
password: WkZvcGVMbndrU2ZfZjVZcw==
username: cG9zdGdyZXM=
kind: Secret
metadata:
creationTimestamp: "2022-06-01T11:51:32Z"
labels:
app.kubernetes.io/component: database
app.kubernetes.io/instance: quick-postgres
app.kubernetes.io/managed-by: kubedb.com
app.kubernetes.io/name: postgreses.kubedb.com
name: quick-postgres-auth
namespace: demo
resourceVersion: "195262"
uid: abe166bc-a1da-40d9-8a5e-996a8f5d6246
type: kubernetes.io/basic-auth
For the purpose of this tutorial, we will need to extract the username and password from database secret quick-postgres-auth
.
$ kubectl get secrets -n demo quick-postgres-auth -o jsonpath='{.data.\password}' | base64 -d
ZFopeLnwkSf_f5Ys⏎
$ kubectl get secrets -n demo quick-postgres-auth -o jsonpath='{.data.\username}' | base64 -d
postgres⏎
Now, to test connection with this database using the credentials obtained above, we will expose the service port associated with quick-postgres
to localhost.
$ kubectl port-forward -n demo svc/quick-postgres 5432
Forwarding from 127.0.0.1:5432 -> 5432
Forwarding from [::1]:5432 -> 5432
With that done , we should now be able to connect to postgres
database using username postgres
, and password ZFopeLnwkSf_f5Ys
.
$ export PGPASSWORD=ZFopeLnwkSf_f5Ys
$ psql --host=localhost --port=5432 --username=postgres postgres
psql (14.1 (Ubuntu 14.1-2.pgdg20.04+1), server 13.2)
Type "help" for help.
postgres=#
After establishing connection successfully, we will create a table in postgres
database and populate it with data.
postgres=# CREATE TABLE COMPANY( NAME TEXT NOT NULL, EMPLOYEE INT NOT NULL);
CREATE TABLE
postgres=# INSERT INTO COMPANY (name, employee) VALUES ('Apple',10);
INSERT 0 1
postgres=# INSERT INTO COMPANY (name, employee) VALUES ('Google',15);
INSERT 0 1
After data insertion, we need to verify that our data have been inserted successfully.
postgres=# SELECT * FROM company ORDER BY name;
name | employee
--------+----------
Apple | 10
Google | 15
(2 rows)
postgres=# \q
If no error occurs, quick-postgres
is ready to be used by PgBouncer.
You can also use any other tool to deploy your PostgreSQL server and create a database postgres
for user postgres
.
Should you choose not to use KubeDB to deploy Postgres, create AppBinding(s) to point PgBouncer to your PostgreSQL server(s) where your target databases are located. Click here for detailed instructions on how to manually create AppBindings for Postgres.
Create a PgBouncer Server
KubeDB implements a PgBouncer crd to define the specifications of a PgBouncer.
Below is the PgBouncer object created in this tutorial.
apiVersion: kubedb.com/v1alpha2
kind: PgBouncer
metadata:
name: pgbouncer-server
namespace: demo
spec:
version: "1.17.0"
replicas: 1
databases:
- alias: "postgres"
databaseName: "postgres"
databaseRef:
name: "quick-postgres"
namespace: demo
connectionPool:
maxClientConnections: 20
reservePoolSize: 5
adminUsers:
- admin
- admin1
userListSecretRef:
name: db-user-pass
terminationPolicy: Delete
Here,
spec.version
is name of the PgBouncerVersion crd where the docker images are specified. In this tutorial, a PgBouncer with base image version 1.17.0 is created.spec.replicas
specifies the number of replica pgbouncer server pods to be created for the PgBouncer object.spec.databases
specifies the databases that are going to be served via PgBouncer.spec.connectionPool
specifies the configurations for connection pool.spec.userListSecretRef
specifies the secret that contains the standard pgbounceruserlist
file.spec.terminationPolicy
specifies what policy to apply while deletion.
spec.databases
Databases contain three required
fields and two optional
fields.
spec.databases.alias
: specifies an alias for the target database located in a postgres server specified by an appbinding.spec.databases.databaseName
: specifies the name of the target database.spec.databases.databaseRef
: specifies the name and namespace of the appBinding that contains the path to a PostgreSQL server where the target database can be found.spec.databases.username
(optional): specifies the user with whom this particular database should have an exclusive connection. By default, if this field is left empty, all users will be able to use the database.spec.databases.password
(optional): specifies password to authenticate the user with whom this particular database should have an exclusive connection.
spec.connectionPool
ConnectionPool is used to configure pgbouncer connection pool. All the fields here are accompanied by default values and can be left unspecified if no customization is required by the user.
spec.connectionPool.port
: specifies the port on which pgbouncer should listen to connect with clients. The default is 5432.spec.connectionPool.adminUsers
: specifies the values of admin_users. An array of names of admin users are listed here.spec.connectionPool.authType
: specifies how to authenticate users.spec.connectionPool.poolMode
: specifies the value of pool_mode.spec.connectionPool.maxClientConnections
: specifies the value of max_client_conn.spec.connectionPool.defaultPoolSize
: specifies the value of default_pool_size.spec.connectionPool.minPoolSize
: specifies the value of min_pool_size.spec.connectionPool.reservePoolSize
: specifies the value of reserve_pool_size.spec.connectionPool.reservePoolTimeout
: specifies the value of reserve_pool_timeout.spec.connectionPool.maxDbConnections
: specifies the value of max_db_connections.spec.connectionPool.maxUserConnections
: specifies the value of max_user_connections.
spec.userListSecretRef
UserList field is used to specify a secret that contains the list of authorized users along with their passwords. Basically this secret is created from the standard pgbouncer userlist file.
spec.userListSecretRef.name
: specifies the name of the secret containing userlist in the same namespace as the PgBouncer crd.
In this tutorial we will use a standard userlist text file to create a secret for spec.userListSecretRef. In the userlist text file we have added pgbouncer
as user and ZFopeLnwkSf_f5Ys
as corresponding password. The file looks like this:
"postgres" "ZFopeLnwkSf_f5Ys"
"myuser" "mypass"
We will need user myuser
with password mypass
later in this tutorial.
$ wget https://raw.githubusercontent.com/kubedb/docs/v2022.10.18/docs/examples/pgbouncer/quickstart/userlist
2022-06-01 12:29:02 (1.02 MB/s) - ‘userlist’ saved [47/47]
$ kubectl create secret generic -n demo db-user-pass --from-file=./userlist.txt
secret/db-user-pass created
spec.terminationPolicy
terminationPolicy
gives flexibility whether to nullify
(reject) the delete operation of PgBouncer
crd or which resources KubeDB should keep or delete when you delete PgBouncer
crd. KubeDB provides following four termination policies:
- DoNotTerminate
- Delete (
Default
) - WipeOut
When terminationPolicy
is DoNotTerminate
, KubeDB takes advantage of ValidationWebhook
feature in Kubernetes 1.9.0 or later clusters to provide safety from accidental deletion of database. If admission webhook is enabled, KubeDB prevents users from deleting the database as long as the spec.terminationPolicy
is set to DoNotTerminate
.
Following table show what KubeDB does when you delete Postgres crd for different termination policies,
Behavior | DoNotTerminate | Delete | WipeOut |
---|---|---|---|
1. Block Delete operation | ✓ | ✗ | ✗ |
2. Delete StatefulSet | ✗ | ✓ | ✓ |
3. Delete Services | ✗ | ✓ | ✓ |
4. Delete PVCs | ✗ | ✓ | ✓ |
5. Delete Secrets | ✗ | ✗ | ✓ |
Now that we’ve been introduced to the pgBouncer crd, let’s create it,
$ kubectl create -f https://github.com/kubedb/docs/raw/v2022.10.18/docs/examples/pgbouncer/quickstart/pgbouncer-server.yaml
pgbouncer.kubedb.com/pgbouncer-server created
Connect via PgBouncer
To connect via pgBouncer we have to expose its service to localhost.
$ kubectl port-forward -n demo svc/pgbouncer-server 5432
Forwarding from 127.0.0.1:5432 -> 5432
Forwarding from [::1]:5432 -> 5432
Now, let’s connect to postgres
database via PgBouncer using psql.
$ env PGPASSWORD=ZFopeLnwkSf_f5Ys psql --host=localhost --port=5432 --username=postgres postgres
psql (14.1 (Ubuntu 14.1-2.pgdg20.04+1), server 13.2)
Type "help" for help.
postgres=# \q
If everything goes well, we’ll be connected to the postgres
database and be able to execute commands. Let’s confirm if the company data we inserted in the postgres
database before are available via PgBouncer:
$ env PGPASSWORD=ZFopeLnwkSf_f5Ys psql --host=localhost --port=5432 --username=postgres postgres --command='SELECT * FROM company ORDER BY name;'
name | employee
--------+----------
Apple | 10
Google | 15
(2 rows)
Add New Connections to the Pool
We will add a new user and a new database to our PostgreSQL server quick-postgres
and add this database to the existing pool and connect to this database using newly created user.
First lets create a new user myuser
with password mypass
$ env PGPASSWORD=ZFopeLnwkSf_f5Ys psql --host=localhost --port=5432 --username=postgres postgres --command="create user myuser with encrypted password 'mypass'"
CREATE ROLE
And then create a new database mydb
$ env PGPASSWORD=ZFopeLnwkSf_f5Ys psql --host=localhost --port=5432 --username=postgres postgres --command="CREATE DATABASE mydb;"
CREATE DATABASE
And then grant privileges on database mydb
to myuser
$ env PGPASSWORD=ZFopeLnwkSf_f5Ys psql --host=localhost --port=5432 --username=postgres postgres --command="grant all privileges on database mydb to myuser"
GRANT
Now we will need to edit our PgBouncer’s spec.databases to add this database to the connection pool.
The YAML file should now look like this:
apiVersion: kubedb.com/v1alpha2
kind: PgBouncer
metadata:
name: pgbouncer-server
namespace: demo
spec:
version: "1.17.0"
replicas: 1
databases:
- alias: "postgres"
databaseName: "postgres"
databaseRef:
name: "quick-postgres"
namespace: demo
- alias: "tmpdb"
databaseName: "mydb"
databaseRef:
name: "quick-postgres"
namespace: demo
connectionPool:
maxClientConnections: 20
reservePoolSize: 5
adminUsers:
- admin
- admin1
userListSecretRef:
name: db-user-pass
terminationPolicy: Delete
We have given our newly added database an alias tmpdb
. We will now apply this modified file.
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2022.10.18/docs/examples/pgbouncer/quickstart/pgbouncer-server-mod.yaml
pgbouncer.kubedb.com/pgbouncer-server configured
Let’s try to connect to mydb
via PgBouncer.
$ env PGPASSWORD=mypass psql --host=localhost --port=5432 --username=myuser tmpdb
psql (14.1 (Ubuntu 14.1-2.pgdg20.04+1), server 13.2)
Type "help" for help.
tmpdb=>
We can now switch our connection between our existing databases postgres
and mydb
as well.
tmpdb=> \c postgres
psql (14.1 (Ubuntu 14.1-2.pgdg20.04+1), server 13.2)
You are now connected to database "postgres" as user "myuser".
postgres=> \c tmpdb
psql (14.1 (Ubuntu 14.1-2.pgdg20.04+1), server 13.2)
You are now connected to database "tmpdb" as user "myuser".
tmpdb=> \q
KubeDB operator watches for PgBouncer objects using Kubernetes api. When a PgBouncer object is created, KubeDB operator will create a new StatefulSet and a Service with the matching name. KubeDB operator will also create a governing service for StatefulSet with the name kubedb
, if one is not already present.
KubeDB operator sets the status.phase
to Running
once the connection-pooling mechanism is ready.
$ kubectl get pb -n demo pgbouncer-server -o wide
NAME VERSION STATUS AGE
pgbouncer-server 1.17.0 Ready 2h
Let’s describe PgBouncer object pgbouncer-server
$ kubectl dba describe pb -n demo pgbouncer-server
Name: pgbouncer-server
Namespace: demo
Labels: <none>
Annotations: <none>
API Version: kubedb.com/v1alpha2
Kind: PgBouncer
Metadata:
Creation Timestamp: 2022-06-01T11:18:39Z
Finalizers:
kubedb.com
Generation: 2
Managed Fields:
API Version: kubedb.com/v1alpha2
Fields Type: FieldsV1
fieldsV1:
f:metadata:
f:annotations:
.:
f:kubectl.kubernetes.io/last-applied-configuration:
f:spec:
.:
f:connectionPool:
.:
f:adminUsers:
f:maxClientConnections:
f:reservePoolSize:
f:databases:
f:replicas:
f:userListSecretRef:
.:
f:name:
f:version:
Manager: kubectl-client-side-apply
Operation: Update
Time: 2022-06-01T11:18:39Z
API Version: kubedb.com/v1alpha2
Fields Type: FieldsV1
fieldsV1:
f:metadata:
f:finalizers:
.:
v:"kubedb.com":
f:status:
.:
f:conditions:
f:observedGeneration:
f:phase:
Manager: kubedb-provisioner
Operation: Update
Time: 2022-06-01T11:18:39Z
Resource Version: 69045
UID: eba4cf43-a489-40fc-bf7c-04b27097dcd1
Spec:
Connection Pool:
Admin Users:
admin
admin1
Auth Type: md5
Max Client Connections: 20
Pool Mode: session
Port: 5432
Reserve Pool Size: 5
Databases:
Alias: postgres
Database Name: postgres
Database Ref:
Name: quick-postgres
Namespace: demo
Alias: tmpdb
Database Name: mydb
Database Ref:
Name: quick-postgres
Namespace: demo
Pod Template:
Controller:
Metadata:
Spec:
Resources:
Limits:
Memory: 1Gi
Requests:
Cpu: 500m
Memory: 1Gi
Replicas: 1
Ssl Mode: disable
Termination Policy: Delete
User List Secret Ref:
Name: db-user-pass
Version: 1.17.0
Status:
Conditions:
Last Transition Time: 2022-06-01T11:18:39Z
Message: The KubeDB operator has started the provisioning of PgBouncer: demo/pgbouncer-server
Reason: DatabaseProvisioningStartedSuccessfully
Status: True
Type: ProvisioningStarted
Last Transition Time: 2022-06-01T11:22:08Z
Message: All replicas are ready and in Running state
Observed Generation: 2
Reason: AllReplicasReady
Status: True
Type: ReplicaReady
Last Transition Time: 2022-06-01T11:22:08Z
Message: The PgBouncer: demo/pgbouncer-server is accepting client requests.
Observed Generation: 2
Reason: DatabaseAcceptingConnectionRequest
Status: True
Type: AcceptingConnection
Last Transition Time: 2022-06-01T11:22:08Z
Message: DB is ready because of server getting Online and Running state
Observed Generation: 2
Reason: ReadinessCheckSucceeded
Status: True
Type: Ready
Last Transition Time: 2022-06-01T11:18:48Z
Message: The PgBouncer: demo/pgbouncer-server is successfully provisioned.
Observed Generation: 1
Reason: DatabaseSuccessfullyProvisioned
Status: True
Type: Provisioned
Observed Generation: 1
Phase: Ready
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal Successful 6m26s KubeDB Operator Successfully created governing service
Normal Successful 6m26s KubeDB Operator Successfully created Service
Normal Successful 6m26s KubeDB Operator Successfully created PgBouncer
Normal Successful 6m26s KubeDB Operator Successfully created appbinding
Normal Successful 3m6s KubeDB Operator Successfully patched appbinding
KubeDB has created a service for the PgBouncer object.
$ kubectl get service -n demo --selector=app.kubernetes.io/name=pgbouncers.kubedb.com,app.kubernetes.io/instance=pgbouncer-server
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
pgbouncer-server ClusterIP 10.96.136.130 <none> 5432/TCP 7m48s
pgbouncer-server-pods ClusterIP None <none> 5432/TCP 7m48s
Here, Service pgbouncer-server
targets random pods to carry out connection-pooling.
Cleaning up
To cleanup the Kubernetes resources created by this tutorial, run:
$ kubectl delete -n demo pg/quick-postgres
postgres.kubedb.com "quick-postgres" deleted
$ kubectl delete -n demo pb/pgbouncer-server
pgbouncer.kubedb.com "pgbouncer-server" deleted
$ kubectl delete secret -n demo db-user-pass
secret "db-user-pass" deleted
$ kubectl delete ns demo
namespace "demo" deleted
Next Steps
- Learn about custom PgBouncerVersions.
- Monitor your PgBouncer with KubeDB using built-in Prometheus.
- Monitor your PgBouncer with KubeDB using Prometheus operator.
- Detail concepts of PgBouncer object.
- Use private Docker registry to deploy PgBouncer with KubeDB.
- Want to hack on KubeDB? Check our contribution guidelines.