pg_partman is an extension to create and manage both time-based and number-based table partition sets. As of version 5.0.1, only built-in, declarative partitioning is supported and the older trigger-based methods have been deprecated.
The declarative partitioning built into PostgreSQL provides the commands to create a partitioned table and its children. pg_partman uses the built-in declarative features that PostgreSQL provides and builds upon those with additional features and enhancements to make managing partitions easier. One key way that pg_partman extends partitioning in Postgres is by providing a means to automate the child table maintenance over time (Ex. adding new children, dropping old ones based on a retention policy). pg_partman also has features to turn an existing table into a partitioned table or vice versa.
A background worker (BGW) process is included to automatically run partition maintenance without the need of an external scheduler (cron, etc) in most cases.
Bug reports & feature requests can be directed to the Issues section on Github - https://github.com/pgpartman/pg_partman/issues
For questions, comments, or if you're just not sure where to post, please use the Discussions section on Github. Feel free to post here no matter how minor you may feel your issue or question may be - https://github.com/pgpartman/pg_partman/discussions
The following list of files is found in the doc folder of the pg_partman github repository. For installation instructions, please see the next section of this README.
| File | Description |
|---|---|
| pg_partman.md | Main reference documentation for pg_partman. |
| pg_partman_howto.md | A How-To guide for general usage of pg_partman. Provides examples for setting up new partition sets and migrating existing tables to partitioned tables. |
| migrate_to_partman.md | How to migrate existing partition sets to being managed by pg_partman. |
| migrate_to_declarative.md | How to migrate from trigger-based partitioning to declarative partitioning. |
| pg_partman_5.0.1_upgrade.md | If pg_partman is being upgraded to version 5.x from any prior version, special considerations may need to be made. Please carefully review this document before performing any upgrades to 5.x or higher. |
| fix_missing_procedures.md | If pg_partman had been installed prior to PostgreSQL 11 and upgraded since then, it may be missing procedures. This document outlines how to restore those procedures and preserve the current configuration. |
Requirement:
- PostgreSQL >= 14
Recommended:
- pg_jobmon (>=v1.4.0). PG Job Monitor will automatically be used if it is installed and setup properly.
In the directory where you downloaded pg_partman, run
make installIf you do not want the background worker compiled and just want the plain PL/PGSQL functions, you can run this instead:
make NO_BGW=1 installI do not personally maintain any OS packages for pg_partman, but several repository maintainers from the PostgreSQL Development Group (PGDG) have kindly been maintaining packages for the community. Please check the PostgreSQL Downloads page to see if your OS has a package available
The background worker must be loaded on database start by adding the library to shared_preload_libraries in postgresql.conf
shared_preload_libraries = 'pg_partman_bgw' # (change requires restart)
You can also set other control variables for the BGW in postgresql.conf. "dbname" is required at a minimum for maintenance to run on the given database(s). These can be added/changed at anytime with a simple reload. See the documentation for more details. An example with some of them:
pg_partman_bgw.interval = 3600
pg_partman_bgw.role = 'keith'
pg_partman_bgw.dbname = 'keith'
Log into PostgreSQL and run the following commands. Schema is optional (but recommended) and can be whatever you wish, but it cannot be changed after installation. If you're using the BGW, the database cluster can be safely started without having the extension first created in the configured database(s). You can create the extension at any time and the BGW will automatically pick up that it exists without restarting the cluster (as long as shared_preload_libraries was set) and begin running maintenance as configured.
CREATE SCHEMA partman;
CREATE EXTENSION pg_partman SCHEMA partman;pg_partman does not require a superuser to run, but currently still requires it to be installed. If not using a superuser, it is recommended that a dedicated role is created for running pg_partman functions and to be the owner of all partition sets that pg_partman maintains. At a minimum this role will need the following privileges (assuming pg_partman is installed to the partman schema and that dedicated role is called partman_user):
CREATE ROLE partman_user WITH LOGIN;
GRANT ALL ON SCHEMA partman TO partman_user;
GRANT ALL ON ALL TABLES IN SCHEMA partman TO partman_user;
GRANT EXECUTE ON ALL FUNCTIONS IN SCHEMA partman TO partman_user;
GRANT EXECUTE ON ALL PROCEDURES IN SCHEMA partman TO partman_user;
GRANT ALL ON SCHEMA my_partition_schema TO partman_user;
GRANT TEMPORARY ON DATABASE mydb to partman_user; -- allow creation of temp tables to move data out of defaultIf you need the role to also be able to create schemas, you will need to grant create on the database as well. In general this shouldn't be required as long as you give the above role CREATE privileges on any pre-existing schemas that will contain partition sets.
GRANT CREATE ON DATABASE mydb TO partman_user;I've received many requests for being able to install this extension on Amazon RDS. As of PostgreSQL 12.5, RDS has made the pg_partman extension available. Many thanks to the RDS team for including this extension in their environment!
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/PostgreSQL_Partitions.html
Run "make install" same as above or update your respective packages to put the new script files and libraries in place. Then run the following in PostgreSQL itself:
ALTER EXTENSION pg_partman UPDATE TO '<latest version>';If you are doing a pg_dump/pg_restore and you've upgraded pg_partman in place from previous versions, it is recommended you use the --column-inserts option when dumping and/or restoring pg_partman's configuration tables. This is due to ordering of the configuration columns possibly being different (upgrades just add the columns onto the end, whereas the default of a new install may be different).
If upgrading between any major versions of pg_partman (4.x -> 5.x, etc), please carefully read all intervening version notes in the CHANGELOG, especially those notes for the major version. There are often additional instructions and other important considerations for the updates. Extra special considerations are needed if you are upgrading to 5+ from any version less than 5.0.0. Please see pg_partman_5.0.1_upgrade.md.
IMPORTANT NOTE: Some updates to pg_partman must drop and recreate its own database objects. If you are revoking PUBLIC privileges from functions/procedures, that can be added back to objects that are recreated as part of an update. If restrictions from PUBLIC use are desired for pg_partman, it is recommended to install it into its own schema as shown above and the revoke undesired access to that schema. Otherwise you may have to add an additional step to your extension upgrade procedures to revoke PUBLIC access again.
For setting up partitioning with pg_partman on a brand new table, or to migrate an existing normal table to partitioning, see pg_partman_howto.md.
For migrating a trigger-based partitioned table to declarative partitioning using pg_partman, see migrate_to_declarative.md. Note that if you plan to migrate to pg_partman, you will first have to migrate to a declarative partitioned table before it can be managed by pg_partman.
Other documents are also available in the doc folder.
See the pg_partman.md reference file in the doc folder for full details on all commands and options for pg_partman.
This extension can use the pgTAP unit testing suite to evaluate if it is working properly - http://www.pgtap.org.
WARNING: You MUST increase max_locks_per_transaction above the default value of 64. A value of 128 has worked well so far with existing tests. This is due to the subpartitioning tests that create/destroy several hundred tables in a single transaction. If you don't do this, you risk a cluster crash when running subpartitioning tests.
See the README file contained in the test folder for more information on testing.
