Using pg_squeeze#

Registering a table for regular processing#

First, ensure that your table has either a primary key or a unique constraint. This is necessary to process changes resulting from other transactions while pg_squeeze is doing its work.

To make the pg_squeeze extension aware of the table, you must insert a record into the squeeze.tables table. After it is added, table statistics are checked periodically. When the table meets the necessary criteria to be squeezed, a task is added to a queue. The tasks are processed sequentially, in the order they are created.

Here is an example of a simple registration:

INSERT INTO squeeze.tables (tabschema, tabname, schedule)
VALUES (public, foo, ({30}, {22}, NULL, NULL, {3, 5}));

Additional columns can be specified optionally, for example:

INSERT INTO squeeze.tables (
    tabschema,
    tabname,
    schedule,
    free_space_extra,
    vacuum_max_age,
    max_retry
)
VALUES (
    public,
    bar,
    ({30}, {22}, NULL, NULL, {3, 5}),
    30,
    2 hours,
    2
);

The following list describes the table metadata:

  • tabschema — Schema name.

  • tabname — Table name.

  • schedule — Specifies when the table should be checked and possibly squeezed. The schedule is described by a value of the following composite data type, which resembles a crontab entry:

CREATE TYPE schedule AS (
    minutes       minute[],
    hours         hour[],
    days_of_month dom[],
    months        month[],
    days_of_week  dow[]
);

In this data type minutes (0-59) and hours (0-23) determine the time when the check occurs within a day, while days_of_month (1-31), months (1-12) and days_of_week (0-7, where both 0 and 7 stand for Sunday) determine the day of the check.

The check is performed if the minutes , hours , and months all match the current timestamp. NULL means any minute, hour, and month, respectively. Either days_of_month or days_of_week must match the current timestamp or both must be NULL for the check to take place.

For example, the entries in the sample registration specify to check the table public.bar every Wednesday and Friday at 22:30.

  • free_space_extra — Minimum percentage of extra free space needed to trigger processing of the table. The extra adjective refers to the fact that free space derived from fillfactor isn’t a reason to squeeze the table.

For example, if fillfactor equals 60, then at least 40 percent of each page stays free during normal operation. If you want to ensure that 70 percent of free space makes pg_squeeze interested in the table, set free_space_extra to 30 (that is, 70 percent required to be free minus the 40 percent free due to the fillfactor ).

The default value of free_space_extra is 50.

  • min_size — Minimum disk space in megabytes that the table must occupy to be eligible for processing. The default value is 8.

  • vacuum_max_age — Maximum time since the completion of the last VACUUM to consider the free space map (FSM) fresh. After this interval has elapsed, the portion of dead tuples might be significant. In this case, you must spend more effort to evaluate the potential effect of pg_squeeze beyond checking the FSM. The default value is 1 hour.

  • max_retry — Maximum number of extra attempts to squeeze a table if the first processing of the corresponding task fails. The typical reason to retry processing is that the table definition changed while the table was being squeezed. If the number of retries is achieved, processing of the table is considered complete. The next task is created at the next scheduled time. The default value of max_retry is 0 (that is, don’t retry).

Note

The squeeze.table is the only table to modify. If you want to change anything else, make sure you understand what you're doing.

Ad hoc processing for any table#

It’s possible to squeeze tables manually without registering (that is, without inserting the corresponding record into squeeze.tables ) and without prior checking of the actual bloat.

Function signature:

squeeze.squeeze_table(
    tabschema name,
    tabname name,
    clustering_index name,
    rel_tablespace name,
    ind_tablespaces name[]
)

The following list describes the table metadata for ad hoc processing:

  • clustering_index — Index of the processed table. After processing finishes, tuples of the table are physically sorted by the key of this index.

  • rel_tablespace — Existing tablespace into which to move the table. NULL means to leave the table where it is.

  • ind_tablespaces — Two-dimensional array in which each row specifies tablespace mapping of an index. The first and the second columns represent the index name and tablespace name, respectively. All indexes for which no mapping is specified remain in the original tablespace. .. note:: If a tablespace is specified for the table but not for indexes, the table gets moved to that tablespace, but the indexes remain in the original tablespace. In other words, the tablespace of the table isn't the default for indexes.

Sample execution#

SELECT squeeze.squeeze_table(public, pgbench_accounts);

Enabling or disabling table processing#

To enable processing of bloated tables, run this statement as superuser:

SELECT squeeze.start_worker();

The function starts a background worker (scheduler worker ) that periodically checks which of the registered tables to check for bloat and creates a task for each. Another worker (squeeze worker ) is launched whenever a task exists for particular database.

If the scheduler worker is already running for the current database, the function doesn’t report any error, and the new worker exits immediately.

If the workers are running for the current database, you can use the following statement to stop them:

SELECT squeeze.stop_worker();

Note

Only the functions mentioned in this documentation are considered part of the user interface. If you want to call any other function, make sure you understand what you're doing.

If you want the background workers to start during startup of the whole PostgreSQL cluster, add entries like the following to the postgresql.conf file:

squeeze.worker_autostart = my_database your_database
squeeze.worker_role = postgres

The next time you start the cluster, two or more workers (that is, one scheduler worker and one or more squeeze workers) are launched for my_database and the same for your_database . If you take this approach, any worker doesn’t start or stop without doing any work if either:

  • The pg_squeeze extension doesn’t exist in the database.

  • The squeeze.worker_role parameter specifies a role that doesn’t have superuser privileges.

Although there are actually two workers, the functions and configuration variables described here use a singular form of the word worker . This is because only one worker existed in the previous versions of pg_squeeze , which ensured both scheduling and execution of the tasks. This implementation change, then, doesn’t force all users to adjust their configuration files during upgrade.

Controlling impact on other backends#

Although the table being squeezed is available for both read and write operations by other transactions most of the time, an exclusive lock is needed to finalize processing. If pg_squeeze occasionally seems to block access to tables, consider setting the squeeze.max_xlock_time GUC parameter. For example:

SET squeeze.max_xlock_time TO 100;

This example specifies not to hold the exclusive lock for more than 0.1 second (100 milliseconds). If more time is needed for the final stage, pg_squeeze releases the exclusive lock, processes changes committed by other transactions in between, and tries the final stage again. An error is reported if the lock duration is exceeded a few more times. If that happens, either increase the setting or schedule processing of the problematic table for a different time when write activity is lower.

Running multiple workers per database#

If you think that a single squeeze worker doesn’t cope with the load, consider setting the squeeze.workers_per_database configuration variable to a value higher than 1. Then the pg_squeeze extension can process multiple tables simultaneously: one table per squeeze worker.

However, be aware that this setting affects all databases in which you actively use the pg_squeeze extension. The total number of all the squeeze workers in the cluster (including the scheduler workers) can’t exceed the in-core configuration variable max_worker_processes .

Monitoring#

The squeeze.log table contains one entry per successfully squeezed table.

The columns tabschema and tabname identify the processed table. The columns started and finished report when the processing started and finished. ins_initial is the number of tuples inserted into the new table storage during the initial load stage, that is, the number of tuples present in the table before the processing started. On the other hand, ins , upd , and del are the numbers of tuples inserted, updated, and deleted by applications during the table processing. (These concurrent data changes must also be incorporated into the squeezed table. Otherwise they’d get lost.)

The squeeze.errors table contains errors that happen during squeezing. A common problem is that someone changes the definition of the table whose processing is in progress (that is, someone adds or removes a column).

The squeeze.get_active_workers() function returns a table of squeeze workers that are processing tables in the current database.

The pid column contains the system PID of the worker process. The other columns have the same meaning as their counterparts in the squeeze.log table. While the squeeze.log table shows information only on the completed squeeze operations, the squeeze.get_active_workers() function lets you check the progress during processing.

Unregistering a table#

If a particular table is no longer subject to periodical squeezes, delete the corresponding row from the squeeze.tables table.

It’s also a good practice to unregister a table that you’re going to drop, although the background worker does unregister non-existing tables periodically.

Concurrency#

The pg_squeeze extension doesn’t prevent other transactions from altering a table at certain stages of the processing. If a disruptive command (that is, ALTER TABLE , VACUUM FULL , CLUSTER , or TRUNCATE ) manages to commit before the squeeze finishes, the squeeze_table() function aborts and all changes made to the table are rolled back. The max_retry column of the squeeze.tables table determines how many times the squeeze worker retries. Changing your schedule might help to avoid these kind of disruptions.

Like pg_repack , pg_squeeze also changes visibility of rows and thus allows for the MVCC-unsafe behavior described in the first paragraph of Caveats for MVCC.

Disk space requirements#

Performing a full-table squeeze requires twice as much free disk space as the target table and its indexes. For example, if the total size of the tables and indexes to be squeezed is 1GB, you need an additional 2GB of disk space.