• Introduction
  • Postgres xtensions
  • Contributing
• Getting started
  • Using Dockers
  • Install the extension
  • Dependencies
• Acknowledgements
• TODOs

A PostgreSQL extension compiling different administration tools.

PostgreSQL is an object-relational database management system (ORDBMS) with an emphasis on extensibility and standards-compliance [source].

Apart from the PostgreSQL official documentation you can check the PostgreSQL Extension Network for additional information about extensions.

• Send a pull request with your awesome features and bug fixes
• Help users resolve their issues.

Automated builds of the image are available on Dockerhub. This is the recommended method of installation.

docker pull benizar/pg_adm

Start this image using:

docker run --name pg_adm -itd --restart always \
  --publish 5432:5432
  --volume /srv/docker/postgresql:/var/lib/postgresql \
  benizar/pg_adm

For debugging and maintenance purposes you may want access the containers shell. If you are using Docker version 1.3.0 or higher you can access a running containers shell by starting bash using docker exec:

docker exec -it pg_adm bash

Alternatively, you can use the sample docker-compose.yml file to start the container using Docker Compose

To build pg_adm:

make
make install
make installcheck

If you encounter an error such as:

ERROR:  must be owner of database regression

You need to run the test suite using a super user, such as the default "postgres" super user:

make installcheck PGUSER=postgres

If that doesn't work, for testing purposes you also can do:

sudo -u postgres createuser -s $USER

Once the extension is installed, you can add it to a database. If you're running PostgreSQL 9.1.0 or greater, it's a simple as connecting to a database as a super user and running:

CREATE EXTENSION pg_adm;

The pg_adm extension depends on other postgres extensions. See the pg_adm.control file.

Most of the provided tools are available from different projects:

• postgresql wiki
• pgx_scripts
• postgres_useful
• pgpermisions

Check the following resources:

• pg_cheat_funcs for PGLZ data compresion.
• plpgsql-tools