Managing VACUUM on Heroku Postgres
Last updated January 25, 2021
Table of Contents
Postgres uses a mechanism called
to track changes in your database. As a side effect, some rows become
“dead” and are no longer visible to any running transaction. Dead rows are generated not just by
DELETE operations, but also by
UPDATEs, as well as transactions that have to be rolled back.
Your database needs periodic maintenance to clean out these dead rows. This is essentially a form of garbage collection. Typically, this happens automatically, but it can be useful to understand the details and tune the maintenance settings as needed.
Vacuuming a database
The built-in mechanism for managing this cleanup is called
VACUUM. This can be run as a regular command, but Postgres also
includes facilities for running the
VACUUM process automatically in
the background as a maintenance task, periodically trying to clean out
old data where necessary. This process will perform its
maintenance based on a set of configuration parameters.
The default Heroku configuration is enough for many applications, but in some situations, you may need to make some changes or occasionally take manual action.
To check whether you need to vacuum, you can run a query to give you information on table and index “bloat”. Bloat is extra space taken by these database objects on disk due to dead rows. The simplest way to do this is to install the pg-extras plugin for the Heroku CLI.
Once installed, you can check bloat by running the following command:
$ heroku pg:bloat DATABASE_URL --app sushi type | schemaname | object_name | bloat | waste -------+------------+-------------------------+-------+----------- table | public | users | 1.0 | 109 MB table | public | logs | 1.0 | 47 MB index | public | queue_classic_jobs_pkey | 3.1 | 25 MB table | public | reviews | 2.2 | 16 MB table | public | queue_classic_jobs | 32.5 | 1512 kB ...
The “bloat” column shows the bloat factor, which is the fraction of the original table that exists as bloat. Because it is a ratio, there are no units. The “waste” column shows the total bloat (in bytes) in each table and index in the system.
A very large bloat factor on a table or index can lead to poor performance for some queries, as Postgres will plan them without considering the bloat.
The threshold for excessive bloat varies according to your query patterns and the size of the table, but generally anything with a bloat factor over 10 is worth looking into, especially on tables over 100 MB.
To check on vacuuming in your database, you can use another pg-extras command:
$ heroku pg:vacuum_stats DATABASE_URL --app sushi schema | table | last_vacuum | last_autovacuum | rowcount | dead_rowcount | autovacuum_threshold | expect_autovacuum --------+--------------------+-------------+------------------+----------------+----------------+----------------------+------------------- public | queue_classic_jobs | | 2013-05-20 16:54 | 82,617 | 36,056 | 16,573 | yes public | logs | | 2013-05-20 16:27 | 1 | 18 | 50 | public | reviews | | 2013-05-20 01:36 | 87 | 0 | 67 | public | users | | 2013-05-20 16:28 | 0 | 23 | 50 | ...
This will tell you when each table was last vacuumed, and whether that was through a manual action or the autovacuum background worker. It also shows the threshold number of dead rows that will trigger an autovacuum for that particular table, and whether you should expect an autovacuum to occur.
Bloat can be contained by ensuring that
VACUUM runs regularly, and
reduced by running
VACUUM FULL if it’s getting out of hand. Note
that the autovacuum process will only ever run a regular, non-full
Note that while
VACUUM FULL offers a more exhaustive cleanup,
actually reducing bloat (rather than just flagging that space as
available, as with regular
VACUUM), it’s also a much more
VACUUM FULL actually rewrites the entire
table, and thus prevents any other statements from running
concurrently (even simple
SELECT queries). Generally, it’s a good
idea to keep autovacuum in an aggressive-enough configuration so that
VACUUM FULL is never needed.
In some cases, where a table is only used to track transient data
(such as a work queue), it may be useful to run the
instead. This will delete all the data in the table in a batch
operation. For very bloated tables, this can be much faster than a
Automatic vacuuming with autovacuum
The most effective way to manage bloat is by tweaking autovacuum settings as necessary.
You can change when a table is eligible for
VACUUM. This is controlled by two settings (on Heroku, the changes can only be made on a per-table basis):
$ heroku pg:psql => ALTER TABLE users SET (autovacuum_vacuum_threshold = 50); ALTER TABLE => ALTER TABLE users SET (autovacuum_vacuum_scale_factor = 0.2); ALTER TABLE
The threshold is a raw number of dead rows needed, and the scale factor is the fraction of live rows in the table that must exist as dead rows. The defaults are 50 and 0.2.
Together, these two make up the actual threshold (as seen
pg:vacuum_stats above) according to the following formula:
vacuum threshold = autovacuum_vacuum_threshold + autovacuum_vacuum_scale_factor * number of rows
On large tables, you may want to decrease the scale factor to allow vacuum to start making progress earlier. For very small tables, you may increase the threshold, though this is typically not necessary.
Furthermore, autovacuum has a built in cost-based rate-limiting
mechanism, to avoid having it overwhelm the system with
activity. In busy databases, however, this can mean that autovacuum
does not make progress quickly enough, leading to excessive bloat.
To avoid that, you can change the back-off settings to be less deferential. These changes can be made at the database level.
$ heroku pg:psql => select current_database(); current_database ------------------ dd5ir2j6frrtr0 (1 row) => ALTER DATABASE dd5ir2j6frrtr0 SET vacuum_cost_limit = 300; ALTER DATABASE => ALTER DATABASE dd5ir2j6frrtr0 SET vacuum_cost_page_dirty = 25; ALTER DATABASE => ALTER DATABASE dd5ir2j6frrtr0 SET vacuum_cost_page_miss = 7; ALTER DATABASE => ALTER DATABASE dd5ir2j6frrtr0 SET vacuum_cost_page_hit = 0; ALTER DATABASE
The cost limit determines how much “cost” (in terms of I/O operations)
autovacuum can accrue before being forced to take a break; the cost
delay determines how long that break is (in milliseconds). Note that
these settings affect both autovacuum and manual vacuum
(autovacuum-only variants do exist, but they can only be set on a per-table basis
on Heroku Postgres at this time). The cost limit is set to 200 by
default. Increasing the cost limit (up to 1000 or so) or adjusting the
vacuum_cost_page_* parameters can help autovacuum progress more
If your database happens to have a very periodic workload, it may be
more efficient to use a simple worker process to “manually” run a
VACUUM (or even
VACUUM FULL, if the locking is not an issue) and
trigger it with a tool like Heroku
Scheduler during off-peak hours.
VACUUM does not have a threshold for when it “kicks in”: it
is always triggered by running the
VACUUM command. The cost-based
back-off (as with autovacuum) still applies, but it is turned off by
vacuum_cost_delay is set to 0). You can increase this
on a per-table basis if you find that a manual
VACUUM has too much impact on
your regular workload.
VACUUM, open a psql shell to the desired database and type the command:
$ heroku pg:psql => VACUUM; WARNING: skipping "pg_authid" --- only superuser can vacuum it WARNING: skipping "pg_database" --- only superuser can vacuum it WARNING: skipping "pg_tablespace" --- only superuser can vacuum it WARNING: skipping "pg_pltemplate" --- only superuser can vacuum it WARNING: skipping "pg_auth_members" --- only superuser can vacuum it WARNING: skipping "pg_shdepend" --- only superuser can vacuum it WARNING: skipping "pg_shdescription" --- only superuser can vacuum it WARNING: skipping "pg_db_role_setting" --- only superuser can vacuum it VACUUM
The warnings you’ll see are expected and can be ignored. You can also
VACUUM to a particular table, if only one or two need
$ heroku pg:psql => VACUUM users; VACUUM
VACUUM, you can add the
VERBOSE keyword to get more
details about its progress.
$ heroku pg:psql d7lrq1eg4otc3i=> VACUUM VERBOSE; INFO: vacuuming "public.reviews" INFO: index "reviews_pkey" now contains 0 row versions in 1 pages DETAIL: 0 index row versions were removed. 0 index pages have been deleted, 0 are currently reusable. CPU 0.00s/0.00u sec elapsed 0.00 sec. INFO: index "reviews_user_index" now contains 0 row versions in 1 pages DETAIL: 0 index row versions were removed. 0 index pages have been deleted, 0 are currently reusable. CPU 0.00s/0.00u sec elapsed 0.00 sec. INFO: "users": found 0 removable, 0 nonremovable row versions in 0 out of 0 pages DETAIL: 0 dead row versions cannot be removed yet. There were 0 unused item pointers. 0 pages are entirely empty. CPU 0.00s/0.00u sec elapsed 0.00 sec. ... VACUUM
With carefully managed autovacuum settings, manual vacuuming should rarely be necessary, but it’s important to understand how it works.