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+<!-- doc/src/sgml/maintenance.sgml -->
+
+<chapter id="maintenance">
+ <title>Routine Database Maintenance Tasks</title>
+
+ <indexterm zone="maintenance">
+ <primary>maintenance</primary>
+ </indexterm>
+
+ <indexterm zone="maintenance">
+ <primary>routine maintenance</primary>
+ </indexterm>
+
+ <para>
+ <productname>PostgreSQL</productname>, like any database software, requires that certain tasks
+ be performed regularly to achieve optimum performance. The tasks
+ discussed here are <emphasis>required</emphasis>, but they
+ are repetitive in nature and can easily be automated using standard
+ tools such as <application>cron</application> scripts or
+ Windows' <application>Task Scheduler</application>. It is the database
+ administrator's responsibility to set up appropriate scripts, and to
+ check that they execute successfully.
+ </para>
+
+ <para>
+ One obvious maintenance task is the creation of backup copies of the data on a
+ regular schedule. Without a recent backup, you have no chance of recovery
+ after a catastrophe (disk failure, fire, mistakenly dropping a critical
+ table, etc.). The backup and recovery mechanisms available in
+ <productname>PostgreSQL</productname> are discussed at length in
+ <xref linkend="backup"/>.
+ </para>
+
+ <para>
+ The other main category of maintenance task is periodic <quote>vacuuming</quote>
+ of the database. This activity is discussed in
+ <xref linkend="routine-vacuuming"/>. Closely related to this is updating
+ the statistics that will be used by the query planner, as discussed in
+ <xref linkend="vacuum-for-statistics"/>.
+ </para>
+
+ <para>
+ Another task that might need periodic attention is log file management.
+ This is discussed in <xref linkend="logfile-maintenance"/>.
+ </para>
+
+ <para>
+ <ulink
+ url="https://bucardo.org/check_postgres/"><application>check_postgres</application></ulink>
+ is available for monitoring database health and reporting unusual
+ conditions. <application>check_postgres</application> integrates with
+ Nagios and MRTG, but can be run standalone too.
+ </para>
+
+ <para>
+ <productname>PostgreSQL</productname> is low-maintenance compared
+ to some other database management systems. Nonetheless,
+ appropriate attention to these tasks will go far towards ensuring a
+ pleasant and productive experience with the system.
+ </para>
+
+ <sect1 id="routine-vacuuming">
+ <title>Routine Vacuuming</title>
+
+ <indexterm zone="routine-vacuuming">
+ <primary>vacuum</primary>
+ </indexterm>
+
+ <para>
+ <productname>PostgreSQL</productname> databases require periodic
+ maintenance known as <firstterm>vacuuming</firstterm>. For many installations, it
+ is sufficient to let vacuuming be performed by the <firstterm>autovacuum
+ daemon</firstterm>, which is described in <xref linkend="autovacuum"/>. You might
+ need to adjust the autovacuuming parameters described there to obtain best
+ results for your situation. Some database administrators will want to
+ supplement or replace the daemon's activities with manually-managed
+ <command>VACUUM</command> commands, which typically are executed according to a
+ schedule by <application>cron</application> or <application>Task
+ Scheduler</application> scripts. To set up manually-managed vacuuming properly,
+ it is essential to understand the issues discussed in the next few
+ subsections. Administrators who rely on autovacuuming may still wish
+ to skim this material to help them understand and adjust autovacuuming.
+ </para>
+
+ <sect2 id="vacuum-basics">
+ <title>Vacuuming Basics</title>
+
+ <para>
+ <productname>PostgreSQL</productname>'s
+ <xref linkend="sql-vacuum"/> command has to
+ process each table on a regular basis for several reasons:
+
+ <orderedlist>
+ <listitem>
+ <simpara>To recover or reuse disk space occupied by updated or deleted
+ rows.</simpara>
+ </listitem>
+
+ <listitem>
+ <simpara>To update data statistics used by the
+ <productname>PostgreSQL</productname> query planner.</simpara>
+ </listitem>
+
+ <listitem>
+ <simpara>To update the visibility map, which speeds
+ up <link linkend="indexes-index-only-scans">index-only
+ scans</link>.</simpara>
+ </listitem>
+
+ <listitem>
+ <simpara>To protect against loss of very old data due to
+ <firstterm>transaction ID wraparound</firstterm> or
+ <firstterm>multixact ID wraparound</firstterm>.</simpara>
+ </listitem>
+ </orderedlist>
+
+ Each of these reasons dictates performing <command>VACUUM</command> operations
+ of varying frequency and scope, as explained in the following subsections.
+ </para>
+
+ <para>
+ There are two variants of <command>VACUUM</command>: standard <command>VACUUM</command>
+ and <command>VACUUM FULL</command>. <command>VACUUM FULL</command> can reclaim more
+ disk space but runs much more slowly. Also,
+ the standard form of <command>VACUUM</command> can run in parallel with production
+ database operations. (Commands such as <command>SELECT</command>,
+ <command>INSERT</command>, <command>UPDATE</command>, and
+ <command>DELETE</command> will continue to function normally, though you
+ will not be able to modify the definition of a table with commands such as
+ <command>ALTER TABLE</command> while it is being vacuumed.)
+ <command>VACUUM FULL</command> requires an
+ <literal>ACCESS EXCLUSIVE</literal> lock on the table it is
+ working on, and therefore cannot be done in parallel with other use
+ of the table. Generally, therefore,
+ administrators should strive to use standard <command>VACUUM</command> and
+ avoid <command>VACUUM FULL</command>.
+ </para>
+
+ <para>
+ <command>VACUUM</command> creates a substantial amount of I/O
+ traffic, which can cause poor performance for other active sessions.
+ There are configuration parameters that can be adjusted to reduce the
+ performance impact of background vacuuming &mdash; see
+ <xref linkend="runtime-config-resource-vacuum-cost"/>.
+ </para>
+ </sect2>
+
+ <sect2 id="vacuum-for-space-recovery">
+ <title>Recovering Disk Space</title>
+
+ <indexterm zone="vacuum-for-space-recovery">
+ <primary>disk space</primary>
+ </indexterm>
+
+ <para>
+ In <productname>PostgreSQL</productname>, an
+ <command>UPDATE</command> or <command>DELETE</command> of a row does not
+ immediately remove the old version of the row.
+ This approach is necessary to gain the benefits of multiversion
+ concurrency control (<acronym>MVCC</acronym>, see <xref linkend="mvcc"/>): the row version
+ must not be deleted while it is still potentially visible to other
+ transactions. But eventually, an outdated or deleted row version is no
+ longer of interest to any transaction. The space it occupies must then be
+ reclaimed for reuse by new rows, to avoid unbounded growth of disk
+ space requirements. This is done by running <command>VACUUM</command>.
+ </para>
+
+ <para>
+ The standard form of <command>VACUUM</command> removes dead row
+ versions in tables and indexes and marks the space available for
+ future reuse. However, it will not return the space to the operating
+ system, except in the special case where one or more pages at the
+ end of a table become entirely free and an exclusive table lock can be
+ easily obtained. In contrast, <command>VACUUM FULL</command> actively compacts
+ tables by writing a complete new version of the table file with no dead
+ space. This minimizes the size of the table, but can take a long time.
+ It also requires extra disk space for the new copy of the table, until
+ the operation completes.
+ </para>
+
+ <para>
+ The usual goal of routine vacuuming is to do standard <command>VACUUM</command>s
+ often enough to avoid needing <command>VACUUM FULL</command>. The
+ autovacuum daemon attempts to work this way, and in fact will
+ never issue <command>VACUUM FULL</command>. In this approach, the idea
+ is not to keep tables at their minimum size, but to maintain steady-state
+ usage of disk space: each table occupies space equivalent to its
+ minimum size plus however much space gets used up between vacuum runs.
+ Although <command>VACUUM FULL</command> can be used to shrink a table back
+ to its minimum size and return the disk space to the operating system,
+ there is not much point in this if the table will just grow again in the
+ future. Thus, moderately-frequent standard <command>VACUUM</command> runs are a
+ better approach than infrequent <command>VACUUM FULL</command> runs for
+ maintaining heavily-updated tables.
+ </para>
+
+ <para>
+ Some administrators prefer to schedule vacuuming themselves, for example
+ doing all the work at night when load is low.
+ The difficulty with doing vacuuming according to a fixed schedule
+ is that if a table has an unexpected spike in update activity, it may
+ get bloated to the point that <command>VACUUM FULL</command> is really necessary
+ to reclaim space. Using the autovacuum daemon alleviates this problem,
+ since the daemon schedules vacuuming dynamically in response to update
+ activity. It is unwise to disable the daemon completely unless you
+ have an extremely predictable workload. One possible compromise is
+ to set the daemon's parameters so that it will only react to unusually
+ heavy update activity, thus keeping things from getting out of hand,
+ while scheduled <command>VACUUM</command>s are expected to do the bulk of the
+ work when the load is typical.
+ </para>
+
+ <para>
+ For those not using autovacuum, a typical approach is to schedule a
+ database-wide <command>VACUUM</command> once a day during a low-usage period,
+ supplemented by more frequent vacuuming of heavily-updated tables as
+ necessary. (Some installations with extremely high update rates vacuum
+ their busiest tables as often as once every few minutes.) If you have
+ multiple databases in a cluster, don't forget to
+ <command>VACUUM</command> each one; the program <xref
+ linkend="app-vacuumdb"/> might be helpful.
+ </para>
+
+ <tip>
+ <para>
+ Plain <command>VACUUM</command> may not be satisfactory when
+ a table contains large numbers of dead row versions as a result of
+ massive update or delete activity. If you have such a table and
+ you need to reclaim the excess disk space it occupies, you will need
+ to use <command>VACUUM FULL</command>, or alternatively
+ <xref linkend="sql-cluster"/>
+ or one of the table-rewriting variants of
+ <xref linkend="sql-altertable"/>.
+ These commands rewrite an entire new copy of the table and build
+ new indexes for it. All these options require an
+ <literal>ACCESS EXCLUSIVE</literal> lock. Note that
+ they also temporarily use extra disk space approximately equal to the size
+ of the table, since the old copies of the table and indexes can't be
+ released until the new ones are complete.
+ </para>
+ </tip>
+
+ <tip>
+ <para>
+ If you have a table whose entire contents are deleted on a periodic
+ basis, consider doing it with
+ <xref linkend="sql-truncate"/> rather
+ than using <command>DELETE</command> followed by
+ <command>VACUUM</command>. <command>TRUNCATE</command> removes the
+ entire content of the table immediately, without requiring a
+ subsequent <command>VACUUM</command> or <command>VACUUM
+ FULL</command> to reclaim the now-unused disk space.
+ The disadvantage is that strict MVCC semantics are violated.
+ </para>
+ </tip>
+ </sect2>
+
+ <sect2 id="vacuum-for-statistics">
+ <title>Updating Planner Statistics</title>
+
+ <indexterm zone="vacuum-for-statistics">
+ <primary>statistics</primary>
+ <secondary>of the planner</secondary>
+ </indexterm>
+
+ <indexterm zone="vacuum-for-statistics">
+ <primary>ANALYZE</primary>
+ </indexterm>
+
+ <para>
+ The <productname>PostgreSQL</productname> query planner relies on
+ statistical information about the contents of tables in order to
+ generate good plans for queries. These statistics are gathered by
+ the <xref linkend="sql-analyze"/> command,
+ which can be invoked by itself or
+ as an optional step in <command>VACUUM</command>. It is important to have
+ reasonably accurate statistics, otherwise poor choices of plans might
+ degrade database performance.
+ </para>
+
+ <para>
+ The autovacuum daemon, if enabled, will automatically issue
+ <command>ANALYZE</command> commands whenever the content of a table has
+ changed sufficiently. However, administrators might prefer to rely
+ on manually-scheduled <command>ANALYZE</command> operations, particularly
+ if it is known that update activity on a table will not affect the
+ statistics of <quote>interesting</quote> columns. The daemon schedules
+ <command>ANALYZE</command> strictly as a function of the number of rows
+ inserted or updated; it has no knowledge of whether that will lead
+ to meaningful statistical changes.
+ </para>
+
+ <para>
+ As with vacuuming for space recovery, frequent updates of statistics
+ are more useful for heavily-updated tables than for seldom-updated
+ ones. But even for a heavily-updated table, there might be no need for
+ statistics updates if the statistical distribution of the data is
+ not changing much. A simple rule of thumb is to think about how much
+ the minimum and maximum values of the columns in the table change.
+ For example, a <type>timestamp</type> column that contains the time
+ of row update will have a constantly-increasing maximum value as
+ rows are added and updated; such a column will probably need more
+ frequent statistics updates than, say, a column containing URLs for
+ pages accessed on a website. The URL column might receive changes just
+ as often, but the statistical distribution of its values probably
+ changes relatively slowly.
+ </para>
+
+ <para>
+ It is possible to run <command>ANALYZE</command> on specific tables and even
+ just specific columns of a table, so the flexibility exists to update some
+ statistics more frequently than others if your application requires it.
+ In practice, however, it is usually best to just analyze the entire
+ database, because it is a fast operation. <command>ANALYZE</command> uses a
+ statistically random sampling of the rows of a table rather than reading
+ every single row.
+ </para>
+
+ <tip>
+ <para>
+ Although per-column tweaking of <command>ANALYZE</command> frequency might not be
+ very productive, you might find it worthwhile to do per-column
+ adjustment of the level of detail of the statistics collected by
+ <command>ANALYZE</command>. Columns that are heavily used in <literal>WHERE</literal>
+ clauses and have highly irregular data distributions might require a
+ finer-grain data histogram than other columns. See <command>ALTER TABLE
+ SET STATISTICS</command>, or change the database-wide default using the <xref
+ linkend="guc-default-statistics-target"/> configuration parameter.
+ </para>
+
+ <para>
+ Also, by default there is limited information available about
+ the selectivity of functions. However, if you create an expression
+ index that uses a function call, useful statistics will be
+ gathered about the function, which can greatly improve query
+ plans that use the expression index.
+ </para>
+ </tip>
+
+ <tip>
+ <para>
+ The autovacuum daemon does not issue <command>ANALYZE</command> commands for
+ foreign tables, since it has no means of determining how often that
+ might be useful. If your queries require statistics on foreign tables
+ for proper planning, it's a good idea to run manually-managed
+ <command>ANALYZE</command> commands on those tables on a suitable schedule.
+ </para>
+ </tip>
+ </sect2>
+
+ <sect2 id="vacuum-for-visibility-map">
+ <title>Updating the Visibility Map</title>
+
+ <para>
+ Vacuum maintains a <link linkend="storage-vm">visibility map</link> for each
+ table to keep track of which pages contain only tuples that are known to be
+ visible to all active transactions (and all future transactions, until the
+ page is again modified). This has two purposes. First, vacuum
+ itself can skip such pages on the next run, since there is nothing to
+ clean up.
+ </para>
+
+ <para>
+ Second, it allows <productname>PostgreSQL</productname> to answer some
+ queries using only the index, without reference to the underlying table.
+ Since <productname>PostgreSQL</productname> indexes don't contain tuple
+ visibility information, a normal index scan fetches the heap tuple for each
+ matching index entry, to check whether it should be seen by the current
+ transaction.
+ An <link linkend="indexes-index-only-scans"><firstterm>index-only
+ scan</firstterm></link>, on the other hand, checks the visibility map first.
+ If it's known that all tuples on the page are
+ visible, the heap fetch can be skipped. This is most useful on
+ large data sets where the visibility map can prevent disk accesses.
+ The visibility map is vastly smaller than the heap, so it can easily be
+ cached even when the heap is very large.
+ </para>
+ </sect2>
+
+ <sect2 id="vacuum-for-wraparound">
+ <title>Preventing Transaction ID Wraparound Failures</title>
+
+ <indexterm zone="vacuum-for-wraparound">
+ <primary>transaction ID</primary>
+ <secondary>wraparound</secondary>
+ </indexterm>
+
+ <indexterm>
+ <primary>wraparound</primary>
+ <secondary>of transaction IDs</secondary>
+ </indexterm>
+
+ <para>
+ <productname>PostgreSQL</productname>'s
+ <link linkend="mvcc-intro">MVCC</link> transaction semantics
+ depend on being able to compare transaction ID (<acronym>XID</acronym>)
+ numbers: a row version with an insertion XID greater than the current
+ transaction's XID is <quote>in the future</quote> and should not be visible
+ to the current transaction. But since transaction IDs have limited size
+ (32 bits) a cluster that runs for a long time (more
+ than 4 billion transactions) would suffer <firstterm>transaction ID
+ wraparound</firstterm>: the XID counter wraps around to zero, and all of a sudden
+ transactions that were in the past appear to be in the future &mdash; which
+ means their output become invisible. In short, catastrophic data loss.
+ (Actually the data is still there, but that's cold comfort if you cannot
+ get at it.) To avoid this, it is necessary to vacuum every table
+ in every database at least once every two billion transactions.
+ </para>
+
+ <para>
+ The reason that periodic vacuuming solves the problem is that
+ <command>VACUUM</command> will mark rows as <emphasis>frozen</emphasis>, indicating that
+ they were inserted by a transaction that committed sufficiently far in
+ the past that the effects of the inserting transaction are certain to be
+ visible to all current and future transactions.
+ Normal XIDs are
+ compared using modulo-2<superscript>32</superscript> arithmetic. This means
+ that for every normal XID, there are two billion XIDs that are
+ <quote>older</quote> and two billion that are <quote>newer</quote>; another
+ way to say it is that the normal XID space is circular with no
+ endpoint. Therefore, once a row version has been created with a particular
+ normal XID, the row version will appear to be <quote>in the past</quote> for
+ the next two billion transactions, no matter which normal XID we are
+ talking about. If the row version still exists after more than two billion
+ transactions, it will suddenly appear to be in the future. To
+ prevent this, <productname>PostgreSQL</productname> reserves a special XID,
+ <literal>FrozenTransactionId</literal>, which does not follow the normal XID
+ comparison rules and is always considered older
+ than every normal XID.
+ Frozen row versions are treated as if the inserting XID were
+ <literal>FrozenTransactionId</literal>, so that they will appear to be
+ <quote>in the past</quote> to all normal transactions regardless of wraparound
+ issues, and so such row versions will be valid until deleted, no matter
+ how long that is.
+ </para>
+
+ <note>
+ <para>
+ In <productname>PostgreSQL</productname> versions before 9.4, freezing was
+ implemented by actually replacing a row's insertion XID
+ with <literal>FrozenTransactionId</literal>, which was visible in the
+ row's <structname>xmin</structname> system column. Newer versions just set a flag
+ bit, preserving the row's original <structname>xmin</structname> for possible
+ forensic use. However, rows with <structname>xmin</structname> equal
+ to <literal>FrozenTransactionId</literal> (2) may still be found
+ in databases <application>pg_upgrade</application>'d from pre-9.4 versions.
+ </para>
+ <para>
+ Also, system catalogs may contain rows with <structname>xmin</structname> equal
+ to <literal>BootstrapTransactionId</literal> (1), indicating that they were
+ inserted during the first phase of <application>initdb</application>.
+ Like <literal>FrozenTransactionId</literal>, this special XID is treated as
+ older than every normal XID.
+ </para>
+ </note>
+
+ <para>
+ <xref linkend="guc-vacuum-freeze-min-age"/>
+ controls how old an XID value has to be before rows bearing that XID will be
+ frozen. Increasing this setting may avoid unnecessary work if the
+ rows that would otherwise be frozen will soon be modified again,
+ but decreasing this setting increases
+ the number of transactions that can elapse before the table must be
+ vacuumed again.
+ </para>
+
+ <para>
+ <command>VACUUM</command> uses the <link linkend="storage-vm">visibility map</link>
+ to determine which pages of a table must be scanned. Normally, it
+ will skip pages that don't have any dead row versions even if those pages
+ might still have row versions with old XID values. Therefore, normal
+ <command>VACUUM</command>s won't always freeze every old row version in the table.
+ Periodically, <command>VACUUM</command> will perform an <firstterm>aggressive
+ vacuum</firstterm>, skipping only those pages which contain neither dead rows nor
+ any unfrozen XID or MXID values.
+ <xref linkend="guc-vacuum-freeze-table-age"/>
+ controls when <command>VACUUM</command> does that: all-visible but not all-frozen
+ pages are scanned if the number of transactions that have passed since the
+ last such scan is greater than <varname>vacuum_freeze_table_age</varname> minus
+ <varname>vacuum_freeze_min_age</varname>. Setting
+ <varname>vacuum_freeze_table_age</varname> to 0 forces <command>VACUUM</command> to
+ use this more aggressive strategy for all scans.
+ </para>
+
+ <para>
+ The maximum time that a table can go unvacuumed is two billion
+ transactions minus the <varname>vacuum_freeze_min_age</varname> value at
+ the time of the last aggressive vacuum. If it were to go
+ unvacuumed for longer than
+ that, data loss could result. To ensure that this does not happen,
+ autovacuum is invoked on any table that might contain unfrozen rows with
+ XIDs older than the age specified by the configuration parameter <xref
+ linkend="guc-autovacuum-freeze-max-age"/>. (This will happen even if
+ autovacuum is disabled.)
+ </para>
+
+ <para>
+ This implies that if a table is not otherwise vacuumed,
+ autovacuum will be invoked on it approximately once every
+ <varname>autovacuum_freeze_max_age</varname> minus
+ <varname>vacuum_freeze_min_age</varname> transactions.
+ For tables that are regularly vacuumed for space reclamation purposes,
+ this is of little importance. However, for static tables
+ (including tables that receive inserts, but no updates or deletes),
+ there is no need to vacuum for space reclamation, so it can
+ be useful to try to maximize the interval between forced autovacuums
+ on very large static tables. Obviously one can do this either by
+ increasing <varname>autovacuum_freeze_max_age</varname> or decreasing
+ <varname>vacuum_freeze_min_age</varname>.
+ </para>
+
+ <para>
+ The effective maximum for <varname>vacuum_freeze_table_age</varname> is 0.95 *
+ <varname>autovacuum_freeze_max_age</varname>; a setting higher than that will be
+ capped to the maximum. A value higher than
+ <varname>autovacuum_freeze_max_age</varname> wouldn't make sense because an
+ anti-wraparound autovacuum would be triggered at that point anyway, and
+ the 0.95 multiplier leaves some breathing room to run a manual
+ <command>VACUUM</command> before that happens. As a rule of thumb,
+ <command>vacuum_freeze_table_age</command> should be set to a value somewhat
+ below <varname>autovacuum_freeze_max_age</varname>, leaving enough gap so that
+ a regularly scheduled <command>VACUUM</command> or an autovacuum triggered by
+ normal delete and update activity is run in that window. Setting it too
+ close could lead to anti-wraparound autovacuums, even though the table
+ was recently vacuumed to reclaim space, whereas lower values lead to more
+ frequent aggressive vacuuming.
+ </para>
+
+ <para>
+ The sole disadvantage of increasing <varname>autovacuum_freeze_max_age</varname>
+ (and <varname>vacuum_freeze_table_age</varname> along with it) is that
+ the <filename>pg_xact</filename> and <filename>pg_commit_ts</filename>
+ subdirectories of the database cluster will take more space, because it
+ must store the commit status and (if <varname>track_commit_timestamp</varname> is
+ enabled) timestamp of all transactions back to
+ the <varname>autovacuum_freeze_max_age</varname> horizon. The commit status uses
+ two bits per transaction, so if
+ <varname>autovacuum_freeze_max_age</varname> is set to its maximum allowed value
+ of two billion, <filename>pg_xact</filename> can be expected to grow to about half
+ a gigabyte and <filename>pg_commit_ts</filename> to about 20GB. If this
+ is trivial compared to your total database size,
+ setting <varname>autovacuum_freeze_max_age</varname> to its maximum allowed value
+ is recommended. Otherwise, set it depending on what you are willing to
+ allow for <filename>pg_xact</filename> and <filename>pg_commit_ts</filename> storage.
+ (The default, 200 million transactions, translates to about 50MB
+ of <filename>pg_xact</filename> storage and about 2GB of <filename>pg_commit_ts</filename>
+ storage.)
+ </para>
+
+ <para>
+ One disadvantage of decreasing <varname>vacuum_freeze_min_age</varname> is that
+ it might cause <command>VACUUM</command> to do useless work: freezing a row
+ version is a waste of time if the row is modified
+ soon thereafter (causing it to acquire a new XID). So the setting should
+ be large enough that rows are not frozen until they are unlikely to change
+ any more.
+ </para>
+
+ <para>
+ To track the age of the oldest unfrozen XIDs in a database,
+ <command>VACUUM</command> stores XID
+ statistics in the system tables <structname>pg_class</structname> and
+ <structname>pg_database</structname>. In particular,
+ the <structfield>relfrozenxid</structfield> column of a table's
+ <structname>pg_class</structname> row contains the freeze cutoff XID that was used
+ by the last aggressive <command>VACUUM</command> for that table. All rows
+ inserted by transactions with XIDs older than this cutoff XID are
+ guaranteed to have been frozen. Similarly,
+ the <structfield>datfrozenxid</structfield> column of a database's
+ <structname>pg_database</structname> row is a lower bound on the unfrozen XIDs
+ appearing in that database &mdash; it is just the minimum of the
+ per-table <structfield>relfrozenxid</structfield> values within the database.
+ A convenient way to
+ examine this information is to execute queries such as:
+
+<programlisting>
+SELECT c.oid::regclass as table_name,
+ greatest(age(c.relfrozenxid),age(t.relfrozenxid)) as age
+FROM pg_class c
+LEFT JOIN pg_class t ON c.reltoastrelid = t.oid
+WHERE c.relkind IN ('r', 'm');
+
+SELECT datname, age(datfrozenxid) FROM pg_database;
+</programlisting>
+
+ The <literal>age</literal> column measures the number of transactions from the
+ cutoff XID to the current transaction's XID.
+ </para>
+
+ <para>
+ <command>VACUUM</command> normally only scans pages that have been modified
+ since the last vacuum, but <structfield>relfrozenxid</structfield> can only be
+ advanced when every page of the table
+ that might contain unfrozen XIDs is scanned. This happens when
+ <structfield>relfrozenxid</structfield> is more than
+ <varname>vacuum_freeze_table_age</varname> transactions old, when
+ <command>VACUUM</command>'s <literal>FREEZE</literal> option is used, or when all
+ pages that are not already all-frozen happen to
+ require vacuuming to remove dead row versions. When <command>VACUUM</command>
+ scans every page in the table that is not already all-frozen, it should
+ set <literal>age(relfrozenxid)</literal> to a value just a little more than the
+ <varname>vacuum_freeze_min_age</varname> setting
+ that was used (more by the number of transactions started since the
+ <command>VACUUM</command> started). If no <structfield>relfrozenxid</structfield>-advancing
+ <command>VACUUM</command> is issued on the table until
+ <varname>autovacuum_freeze_max_age</varname> is reached, an autovacuum will soon
+ be forced for the table.
+ </para>
+
+ <para>
+ If for some reason autovacuum fails to clear old XIDs from a table, the
+ system will begin to emit warning messages like this when the database's
+ oldest XIDs reach eleven million transactions from the wraparound point:
+
+<programlisting>
+WARNING: database "mydb" must be vacuumed within 10985967 transactions
+HINT: To avoid a database shutdown, execute a database-wide VACUUM in that database.
+</programlisting>
+
+ (A manual <command>VACUUM</command> should fix the problem, as suggested by the
+ hint; but note that the <command>VACUUM</command> must be performed by a
+ superuser, else it will fail to process system catalogs and thus not
+ be able to advance the database's <structfield>datfrozenxid</structfield>.)
+ If these warnings are
+ ignored, the system will shut down and refuse to start any new
+ transactions once there are fewer than 1 million transactions left
+ until wraparound:
+
+<programlisting>
+ERROR: database is not accepting commands to avoid wraparound data loss in database "mydb"
+HINT: Stop the postmaster and vacuum that database in single-user mode.
+</programlisting>
+
+ The 1-million-transaction safety margin exists to let the
+ administrator recover without data loss, by manually executing the
+ required <command>VACUUM</command> commands. However, since the system will not
+ execute commands once it has gone into the safety shutdown mode,
+ the only way to do this is to stop the server and start the server in single-user
+ mode to execute <command>VACUUM</command>. The shutdown mode is not enforced
+ in single-user mode. See the <xref linkend="app-postgres"/> reference
+ page for details about using single-user mode.
+ </para>
+
+ <sect3 id="vacuum-for-multixact-wraparound">
+ <title>Multixacts and Wraparound</title>
+
+ <indexterm>
+ <primary>MultiXactId</primary>
+ </indexterm>
+
+ <indexterm>
+ <primary>wraparound</primary>
+ <secondary>of multixact IDs</secondary>
+ </indexterm>
+
+ <para>
+ <firstterm>Multixact IDs</firstterm> are used to support row locking by
+ multiple transactions. Since there is only limited space in a tuple
+ header to store lock information, that information is encoded as
+ a <quote>multiple transaction ID</quote>, or multixact ID for short,
+ whenever there is more than one transaction concurrently locking a
+ row. Information about which transaction IDs are included in any
+ particular multixact ID is stored separately in
+ the <filename>pg_multixact</filename> subdirectory, and only the multixact ID
+ appears in the <structfield>xmax</structfield> field in the tuple header.
+ Like transaction IDs, multixact IDs are implemented as a
+ 32-bit counter and corresponding storage, all of which requires
+ careful aging management, storage cleanup, and wraparound handling.
+ There is a separate storage area which holds the list of members in
+ each multixact, which also uses a 32-bit counter and which must also
+ be managed.
+ </para>
+
+ <para>
+ Whenever <command>VACUUM</command> scans any part of a table, it will replace
+ any multixact ID it encounters which is older than
+ <xref linkend="guc-vacuum-multixact-freeze-min-age"/>
+ by a different value, which can be the zero value, a single
+ transaction ID, or a newer multixact ID. For each table,
+ <structname>pg_class</structname>.<structfield>relminmxid</structfield> stores the oldest
+ possible multixact ID still appearing in any tuple of that table.
+ If this value is older than
+ <xref linkend="guc-vacuum-multixact-freeze-table-age"/>, an aggressive
+ vacuum is forced. As discussed in the previous section, an aggressive
+ vacuum means that only those pages which are known to be all-frozen will
+ be skipped. <function>mxid_age()</function> can be used on
+ <structname>pg_class</structname>.<structfield>relminmxid</structfield> to find its age.
+ </para>
+
+ <para>
+ Aggressive <command>VACUUM</command> scans, regardless of
+ what causes them, enable advancing the value for that table.
+ Eventually, as all tables in all databases are scanned and their
+ oldest multixact values are advanced, on-disk storage for older
+ multixacts can be removed.
+ </para>
+
+ <para>
+ As a safety device, an aggressive vacuum scan will occur for any table
+ whose multixact-age is greater than
+ <xref linkend="guc-autovacuum-multixact-freeze-max-age"/>. Aggressive
+ vacuum scans will also occur progressively for all tables, starting with
+ those that have the oldest multixact-age, if the amount of used member
+ storage space exceeds the amount 50% of the addressable storage space.
+ Both of these kinds of aggressive scans will occur even if autovacuum is
+ nominally disabled.
+ </para>
+ </sect3>
+ </sect2>
+
+ <sect2 id="autovacuum">
+ <title>The Autovacuum Daemon</title>
+
+ <indexterm>
+ <primary>autovacuum</primary>
+ <secondary>general information</secondary>
+ </indexterm>
+ <para>
+ <productname>PostgreSQL</productname> has an optional but highly
+ recommended feature called <firstterm>autovacuum</firstterm>,
+ whose purpose is to automate the execution of
+ <command>VACUUM</command> and <command>ANALYZE </command> commands.
+ When enabled, autovacuum checks for
+ tables that have had a large number of inserted, updated or deleted
+ tuples. These checks use the statistics collection facility;
+ therefore, autovacuum cannot be used unless <xref
+ linkend="guc-track-counts"/> is set to <literal>true</literal>.
+ In the default configuration, autovacuuming is enabled and the related
+ configuration parameters are appropriately set.
+ </para>
+
+ <para>
+ The <quote>autovacuum daemon</quote> actually consists of multiple processes.
+ There is a persistent daemon process, called the
+ <firstterm>autovacuum launcher</firstterm>, which is in charge of starting
+ <firstterm>autovacuum worker</firstterm> processes for all databases. The
+ launcher will distribute the work across time, attempting to start one
+ worker within each database every <xref linkend="guc-autovacuum-naptime"/>
+ seconds. (Therefore, if the installation has <replaceable>N</replaceable> databases,
+ a new worker will be launched every
+ <varname>autovacuum_naptime</varname>/<replaceable>N</replaceable> seconds.)
+ A maximum of <xref linkend="guc-autovacuum-max-workers"/> worker processes
+ are allowed to run at the same time. If there are more than
+ <varname>autovacuum_max_workers</varname> databases to be processed,
+ the next database will be processed as soon as the first worker finishes.
+ Each worker process will check each table within its database and
+ execute <command>VACUUM</command> and/or <command>ANALYZE</command> as needed.
+ <xref linkend="guc-log-autovacuum-min-duration"/> can be set to monitor
+ autovacuum workers' activity.
+ </para>
+
+ <para>
+ If several large tables all become eligible for vacuuming in a short
+ amount of time, all autovacuum workers might become occupied with
+ vacuuming those tables for a long period. This would result
+ in other tables and databases not being vacuumed until a worker becomes
+ available. There is no limit on how many workers might be in a
+ single database, but workers do try to avoid repeating work that has
+ already been done by other workers. Note that the number of running
+ workers does not count towards <xref linkend="guc-max-connections"/> or
+ <xref linkend="guc-superuser-reserved-connections"/> limits.
+ </para>
+
+ <para>
+ Tables whose <structfield>relfrozenxid</structfield> value is more than
+ <xref linkend="guc-autovacuum-freeze-max-age"/> transactions old are always
+ vacuumed (this also applies to those tables whose freeze max age has
+ been modified via storage parameters; see below). Otherwise, if the
+ number of tuples obsoleted since the last
+ <command>VACUUM</command> exceeds the <quote>vacuum threshold</quote>, the
+ table is vacuumed. The vacuum threshold is defined as:
+<programlisting>
+vacuum threshold = vacuum base threshold + vacuum scale factor * number of tuples
+</programlisting>
+ where the vacuum base threshold is
+ <xref linkend="guc-autovacuum-vacuum-threshold"/>,
+ the vacuum scale factor is
+ <xref linkend="guc-autovacuum-vacuum-scale-factor"/>,
+ and the number of tuples is
+ <structname>pg_class</structname>.<structfield>reltuples</structfield>.
+ </para>
+
+ <para>
+ The table is also vacuumed if the number of tuples inserted since the last
+ vacuum has exceeded the defined insert threshold, which is defined as:
+<programlisting>
+vacuum insert threshold = vacuum base insert threshold + vacuum insert scale factor * number of tuples
+</programlisting>
+ where the vacuum insert base threshold is
+ <xref linkend="guc-autovacuum-vacuum-insert-threshold"/>,
+ and vacuum insert scale factor is
+ <xref linkend="guc-autovacuum-vacuum-insert-scale-factor"/>.
+ Such vacuums may allow portions of the table to be marked as
+ <firstterm>all visible</firstterm> and also allow tuples to be frozen, which
+ can reduce the work required in subsequent vacuums.
+ For tables which receive <command>INSERT</command> operations but no or
+ almost no <command>UPDATE</command>/<command>DELETE</command> operations,
+ it may be beneficial to lower the table's
+ <xref linkend="reloption-autovacuum-freeze-min-age"/> as this may allow
+ tuples to be frozen by earlier vacuums. The number of obsolete tuples and
+ the number of inserted tuples are obtained from the statistics collector;
+ it is a semi-accurate count updated by each <command>UPDATE</command>,
+ <command>DELETE</command> and <command>INSERT</command> operation. (It is
+ only semi-accurate because some information might be lost under heavy
+ load.) If the <structfield>relfrozenxid</structfield> value of the table
+ is more than <varname>vacuum_freeze_table_age</varname> transactions old,
+ an aggressive vacuum is performed to freeze old tuples and advance
+ <structfield>relfrozenxid</structfield>; otherwise, only pages that have been modified
+ since the last vacuum are scanned.
+ </para>
+
+ <para>
+ For analyze, a similar condition is used: the threshold, defined as:
+<programlisting>
+analyze threshold = analyze base threshold + analyze scale factor * number of tuples
+</programlisting>
+ is compared to the total number of tuples inserted, updated, or deleted
+ since the last <command>ANALYZE</command>.
+ </para>
+
+ <para>
+ Temporary tables cannot be accessed by autovacuum. Therefore,
+ appropriate vacuum and analyze operations should be performed via
+ session SQL commands.
+ </para>
+
+ <para>
+ The default thresholds and scale factors are taken from
+ <filename>postgresql.conf</filename>, but it is possible to override them
+ (and many other autovacuum control parameters) on a per-table basis; see
+ <xref linkend="sql-createtable-storage-parameters"/> for more information.
+ If a setting has been changed via a table's storage parameters, that value
+ is used when processing that table; otherwise the global settings are
+ used. See <xref linkend="runtime-config-autovacuum"/> for more details on
+ the global settings.
+ </para>
+
+ <para>
+ When multiple workers are running, the autovacuum cost delay parameters
+ (see <xref linkend="runtime-config-resource-vacuum-cost"/>) are
+ <quote>balanced</quote> among all the running workers, so that the
+ total I/O impact on the system is the same regardless of the number
+ of workers actually running. However, any workers processing tables whose
+ per-table <literal>autovacuum_vacuum_cost_delay</literal> or
+ <literal>autovacuum_vacuum_cost_limit</literal> storage parameters have been set
+ are not considered in the balancing algorithm.
+ </para>
+
+ <para>
+ Autovacuum workers generally don't block other commands. If a process
+ attempts to acquire a lock that conflicts with the
+ <literal>SHARE UPDATE EXCLUSIVE</literal> lock held by autovacuum, lock
+ acquisition will interrupt the autovacuum. For conflicting lock modes,
+ see <xref linkend="table-lock-compatibility"/>. However, if the autovacuum
+ is running to prevent transaction ID wraparound (i.e., the autovacuum query
+ name in the <structname>pg_stat_activity</structname> view ends with
+ <literal>(to prevent wraparound)</literal>), the autovacuum is not
+ automatically interrupted.
+ </para>
+
+ <warning>
+ <para>
+ Regularly running commands that acquire locks conflicting with a
+ <literal>SHARE UPDATE EXCLUSIVE</literal> lock (e.g., ANALYZE) can
+ effectively prevent autovacuums from ever completing.
+ </para>
+ </warning>
+ </sect2>
+ </sect1>
+
+
+ <sect1 id="routine-reindex">
+ <title>Routine Reindexing</title>
+
+ <indexterm zone="routine-reindex">
+ <primary>reindex</primary>
+ </indexterm>
+
+ <para>
+ In some situations it is worthwhile to rebuild indexes periodically
+ with the <xref linkend="sql-reindex"/> command or a series of individual
+ rebuilding steps.
+
+ </para>
+
+ <para>
+ B-tree index pages that have become completely empty are reclaimed for
+ re-use. However, there is still a possibility
+ of inefficient use of space: if all but a few index keys on a page have
+ been deleted, the page remains allocated. Therefore, a usage
+ pattern in which most, but not all, keys in each range are eventually
+ deleted will see poor use of space. For such usage patterns,
+ periodic reindexing is recommended.
+ </para>
+
+ <para>
+ The potential for bloat in non-B-tree indexes has not been well
+ researched. It is a good idea to periodically monitor the index's physical
+ size when using any non-B-tree index type.
+ </para>
+
+ <para>
+ Also, for B-tree indexes, a freshly-constructed index is slightly faster to
+ access than one that has been updated many times because logically
+ adjacent pages are usually also physically adjacent in a newly built index.
+ (This consideration does not apply to non-B-tree indexes.) It
+ might be worthwhile to reindex periodically just to improve access speed.
+ </para>
+
+ <para>
+ <xref linkend="sql-reindex"/> can be used safely and easily in all cases.
+ This command requires an <literal>ACCESS EXCLUSIVE</literal> lock by
+ default, hence it is often preferable to execute it with its
+ <literal>CONCURRENTLY</literal> option, which requires only a
+ <literal>SHARE UPDATE EXCLUSIVE</literal> lock.
+ </para>
+ </sect1>
+
+
+ <sect1 id="logfile-maintenance">
+ <title>Log File Maintenance</title>
+
+ <indexterm zone="logfile-maintenance">
+ <primary>server log</primary>
+ <secondary>log file maintenance</secondary>
+ </indexterm>
+
+ <para>
+ It is a good idea to save the database server's log output
+ somewhere, rather than just discarding it via <filename>/dev/null</filename>.
+ The log output is invaluable when diagnosing
+ problems. However, the log output tends to be voluminous
+ (especially at higher debug levels) so you won't want to save it
+ indefinitely. You need to <emphasis>rotate</emphasis> the log files so that
+ new log files are started and old ones removed after a reasonable
+ period of time.
+ </para>
+
+ <para>
+ If you simply direct the <systemitem>stderr</systemitem> of
+ <command>postgres</command> into a
+ file, you will have log output, but
+ the only way to truncate the log file is to stop and restart
+ the server. This might be acceptable if you are using
+ <productname>PostgreSQL</productname> in a development environment,
+ but few production servers would find this behavior acceptable.
+ </para>
+
+ <para>
+ A better approach is to send the server's
+ <systemitem>stderr</systemitem> output to some type of log rotation program.
+ There is a built-in log rotation facility, which you can use by
+ setting the configuration parameter <varname>logging_collector</varname> to
+ <literal>true</literal> in <filename>postgresql.conf</filename>. The control
+ parameters for this program are described in <xref
+ linkend="runtime-config-logging-where"/>. You can also use this approach
+ to capture the log data in machine readable <acronym>CSV</acronym>
+ (comma-separated values) format.
+ </para>
+
+ <para>
+ Alternatively, you might prefer to use an external log rotation
+ program if you have one that you are already using with other
+ server software. For example, the <application>rotatelogs</application>
+ tool included in the <productname>Apache</productname> distribution
+ can be used with <productname>PostgreSQL</productname>. One way to
+ do this is to pipe the server's
+ <systemitem>stderr</systemitem> output to the desired program.
+ If you start the server with
+ <command>pg_ctl</command>, then <systemitem>stderr</systemitem>
+ is already redirected to <systemitem>stdout</systemitem>, so you just need a
+ pipe command, for example:
+
+<programlisting>
+pg_ctl start | rotatelogs /var/log/pgsql_log 86400
+</programlisting>
+ </para>
+
+ <para>
+ You can combine these approaches by setting up <application>logrotate</application>
+ to collect log files produced by <productname>PostgreSQL</productname> built-in
+ logging collector. In this case, the logging collector defines the names and
+ location of the log files, while <application>logrotate</application>
+ periodically archives these files. When initiating log rotation,
+ <application>logrotate</application> must ensure that the application
+ sends further output to the new file. This is commonly done with a
+ <literal>postrotate</literal> script that sends a <literal>SIGHUP</literal>
+ signal to the application, which then reopens the log file.
+ In <productname>PostgreSQL</productname>, you can run <command>pg_ctl</command>
+ with the <literal>logrotate</literal> option instead. When the server receives
+ this command, the server either switches to a new log file or reopens the
+ existing file, depending on the logging configuration
+ (see <xref linkend="runtime-config-logging-where"/>).
+ </para>
+
+ <note>
+ <para>
+ When using static log file names, the server might fail to reopen the log
+ file if the max open file limit is reached or a file table overflow occurs.
+ In this case, log messages are sent to the old log file until a
+ successful log rotation. If <application>logrotate</application> is
+ configured to compress the log file and delete it, the server may lose
+ the messages logged in this time frame. To avoid this issue, you can
+ configure the logging collector to dynamically assign log file names
+ and use a <literal>prerotate</literal> script to ignore open log files.
+ </para>
+ </note>
+
+ <para>
+ Another production-grade approach to managing log output is to
+ send it to <application>syslog</application> and let
+ <application>syslog</application> deal with file rotation. To do this, set the
+ configuration parameter <varname>log_destination</varname> to <literal>syslog</literal>
+ (to log to <application>syslog</application> only) in
+ <filename>postgresql.conf</filename>. Then you can send a <literal>SIGHUP</literal>
+ signal to the <application>syslog</application> daemon whenever you want to force it
+ to start writing a new log file. If you want to automate log
+ rotation, the <application>logrotate</application> program can be
+ configured to work with log files from
+ <application>syslog</application>.
+ </para>
+
+ <para>
+ On many systems, however, <application>syslog</application> is not very reliable,
+ particularly with large log messages; it might truncate or drop messages
+ just when you need them the most. Also, on <productname>Linux</productname>,
+ <application>syslog</application> will flush each message to disk, yielding poor
+ performance. (You can use a <quote><literal>-</literal></quote> at the start of the file name
+ in the <application>syslog</application> configuration file to disable syncing.)
+ </para>
+
+ <para>
+ Note that all the solutions described above take care of starting new
+ log files at configurable intervals, but they do not handle deletion
+ of old, no-longer-useful log files. You will probably want to set
+ up a batch job to periodically delete old log files. Another possibility
+ is to configure the rotation program so that old log files are overwritten
+ cyclically.
+ </para>
+
+ <para>
+ <ulink url="https://pgbadger.darold.net/"><productname>pgBadger</productname></ulink>
+ is an external project that does sophisticated log file analysis.
+ <ulink
+ url="https://bucardo.org/check_postgres/"><productname>check_postgres</productname></ulink>
+ provides Nagios alerts when important messages appear in the log
+ files, as well as detection of many other extraordinary conditions.
+ </para>
+ </sect1>
+</chapter>