Charmed PostgreSQL VM

Channel Revision Published Runs on
latest/stable 345 09 Nov 2023
Ubuntu 22.04 Ubuntu 20.04 Ubuntu 18.04 Ubuntu 16.04 Ubuntu 14.04
latest/stable 239 09 Feb 2022
Ubuntu 22.04 Ubuntu 20.04 Ubuntu 18.04 Ubuntu 16.04 Ubuntu 14.04
latest/stable 226 01 Apr 2021
Ubuntu 22.04 Ubuntu 20.04 Ubuntu 18.04 Ubuntu 16.04 Ubuntu 14.04
14/stable 468 11 Sep 2024
Ubuntu 22.04
14/stable 467 11 Sep 2024
Ubuntu 22.04
14/candidate 468 02 Sep 2024
Ubuntu 22.04
14/candidate 467 02 Sep 2024
Ubuntu 22.04
14/beta 516 19 Nov 2024
Ubuntu 22.04
14/beta 515 19 Nov 2024
Ubuntu 22.04
14/edge 518 19 Nov 2024
Ubuntu 22.04
14/edge 517 19 Nov 2024
Ubuntu 22.04
juju deploy postgresql --channel 14/candidate
Show information

Platform:

Ubuntu
22.04 20.04 18.04 16.04 14.04

How to deploy on LXD

This guide assumes you have a running Juju and LXD environment.

For a detailed walkthrough of setting up an environment and deploying the charm on LXD, refer to the Tutorial.

Prerequisites


Bootstrap a juju controller and create a model if you haven’t already:

juju bootstrap localhost <controller name>
juju add-model <model name>

Deploy PostgreSQL:

juju deploy postgresql

See the juju deploy documentation for all available options at deploy time.

See the Configurations tab for specific PostgreSQL parameters.

Sample output of juju status --watch 1s:

Model       Controller  Cloud/Region         Version  SLA          Timestamp
postgresql  overlord    localhost/localhost  2.9.42   unsupported  09:41:53+01:00

App         Version  Status  Scale  Charm       Channel    Rev  Exposed  Message
postgresql           active      1  postgresql  14/stable  281  no       

Unit           Workload  Agent  Machine  Public address  Ports  Message
postgresql/0*  active    idle   0        10.89.49.129           

Machine  State    Address       Inst id        Series  AZ  Message
0        started  10.89.49.129  juju-a8a31d-0  jammy       Running

If you expect having several concurrent connections frequently, it is highly recommended to deploy PgBouncer alongside PostgreSQL. For more information, read our explanation about Connection pooling.