pg_timetable: Advanced scheduling for PostgreSQL
pg_timetable is an advanced standalone job scheduler for PostgreSQL, offering many advantages over traditional schedulers such as cron and others. It is completely database driven and provides a couple of advanced concepts. It allows you to schedule PostgreSQL commands, system programs and built-in operations:
-- Run public.my_func() at 00:05 every day in August:
SELECT timetable.add_job('execute-func', '5 0 * 8 *', 'SELECT public.my_func()');
-- Run VACUUM at minute 23 past every 2nd hour from 0 through 20 every day:
SELECT timetable.add_job('run-vacuum', '23 0-20/2 * * *', 'VACUUM');
-- Refresh materialized view every 2 hours:
SELECT timetable.add_job('refresh-matview', '@every 2 hours',
'REFRESH MATERIALIZED VIEW public.mat_view');
-- Clear log table after pg_timetable restart:
SELECT timetable.add_job('clear-log', '@reboot', 'TRUNCATE public.log');
-- Reindex at midnight on Sundays with reindexdb utility:
-- using default database under default user (no command line arguments)
SELECT timetable.add_job('reindex-job', '0 0 * * 7', 'reindexdb', job_kind := 'PROGRAM');
-- specifying target database and tables, and be verbose
SELECT timetable.add_job('reindex-job', '0 0 * * 7', 'reindexdb',
'["--table=foo", "--dbname=postgres", "--verbose"]'::jsonb, 'PROGRAM');
-- passing password using environment variable through bash shell
SELECT timetable.add_job('reindex-job', '0 0 * * 7', 'bash',
'["-c", "PGPASSWORD=5m3R7K4754p4m reindexdb -U postgres -h 192.168.0.221 -v'::jsonb,
'PROGRAM');
Documentation
https://pg-timetable.readthedocs.io/
Main features
- Tasks can be arranged in chains
- Each task executes SQL, built-in or executable command
- Parameters can be passed to tasks
- Missed chains (possibly due to downtime) can be retried automatically
- Support for configurable repetitions
- Builtin tasks such as sending emails, downloading, importing files, etc.
- Fully database driven configuration
- Full support for database driven logging
- Enhanced cron-style scheduling
- Optional concurrency protection
Installation
Complete installation guide can be found in the documentation.
Possible choices are:
- official release packages;
- Docker images;
- build from sources.
Quick Start
Complete usage guide can be found in the documentation.
-
Download pg_timetable executable
-
Make sure your PostgreSQL server is up and running and has a role with
CREATE
privilege for a target database, e.g.
my_database=> CREATE ROLE scheduler PASSWORD 'somestrong';
my_database=> GRANT CREATE ON DATABASE my_database TO scheduler;
- Create a new job, e.g. run
VACUUM
each night at 00:30
my_database=> SELECT timetable.add_job('frequent-vacuum', '30 0 * * *', 'VACUUM');
add_job
---------
3
(1 row)
- Run the pg_timetable
# pg_timetable postgresql://scheduler:somestrong@localhost/my_database --clientname=vacuumer
- PROFIT!
Supported Environments
Cloud Service | Supported | PostgreSQL Version | Supported | OS | Supported |
---|---|---|---|---|---|
Alibaba Cloud | 17 (devel) | β | Linux | β | |
Amazon RDS | 16 (beta) | Darwin | β | ||
Amazon Aurora | 15 (current) | Windows | β | ||
Azure | 14 | FreeBSD* | |||
Citus Cloud | 13 | NetBSD* | |||
Crunchy Bridge | 12 | OpenBSD* | |||
DigitalOcean | 11 | β | Solaris* | ||
Google Cloud | 10 | ||||
Heroku | β | ||||
Supabase |
* - there are no official release binaries made for these OSes. One would need to build them from sources.
** - previous PostgreSQL versions may and should work smoothly. Only officially supported PostgreSQL versions are listed in this table.
Contributing
If you want to contribute to pg_timetable and help make it better, feel free to open an issue or even consider submitting a pull request.
Support
For professional support, please contact Cybertec.
Authors
- Implementation: Pavlo Golub
- Initial idea and draft design: Hans-JΓΌrgen SchΓΆnig