1ANALYZE(7)               PostgreSQL 15.4 Documentation              ANALYZE(7)
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NAME

6       ANALYZE - collect statistics about a database
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SYNOPSIS

9       ANALYZE [ ( option [, ...] ) ] [ table_and_columns [, ...] ]
10       ANALYZE [ VERBOSE ] [ table_and_columns [, ...] ]
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12       where option can be one of:
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14           VERBOSE [ boolean ]
15           SKIP_LOCKED [ boolean ]
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17       and table_and_columns is:
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19           table_name [ ( column_name [, ...] ) ]
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DESCRIPTION

22       ANALYZE collects statistics about the contents of tables in the
23       database, and stores the results in the pg_statistic system catalog.
24       Subsequently, the query planner uses these statistics to help determine
25       the most efficient execution plans for queries.
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27       Without a table_and_columns list, ANALYZE processes every table and
28       materialized view in the current database that the current user has
29       permission to analyze. With a list, ANALYZE processes only those
30       table(s). It is further possible to give a list of column names for a
31       table, in which case only the statistics for those columns are
32       collected.
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34       When the option list is surrounded by parentheses, the options can be
35       written in any order. The parenthesized syntax was added in PostgreSQL
36       11; the unparenthesized syntax is deprecated.
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PARAMETERS

39       VERBOSE
40           Enables display of progress messages.
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42       SKIP_LOCKED
43           Specifies that ANALYZE should not wait for any conflicting locks to
44           be released when beginning work on a relation: if a relation cannot
45           be locked immediately without waiting, the relation is skipped.
46           Note that even with this option, ANALYZE may still block when
47           opening the relation's indexes or when acquiring sample rows from
48           partitions, table inheritance children, and some types of foreign
49           tables. Also, while ANALYZE ordinarily processes all partitions of
50           specified partitioned tables, this option will cause ANALYZE to
51           skip all partitions if there is a conflicting lock on the
52           partitioned table.
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54       boolean
55           Specifies whether the selected option should be turned on or off.
56           You can write TRUE, ON, or 1 to enable the option, and FALSE, OFF,
57           or 0 to disable it. The boolean value can also be omitted, in which
58           case TRUE is assumed.
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60       table_name
61           The name (possibly schema-qualified) of a specific table to
62           analyze. If omitted, all regular tables, partitioned tables, and
63           materialized views in the current database are analyzed (but not
64           foreign tables). If the specified table is a partitioned table,
65           both the inheritance statistics of the partitioned table as a whole
66           and statistics of the individual partitions are updated.
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68       column_name
69           The name of a specific column to analyze. Defaults to all columns.
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OUTPUTS

72       When VERBOSE is specified, ANALYZE emits progress messages to indicate
73       which table is currently being processed. Various statistics about the
74       tables are printed as well.
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NOTES

77       To analyze a table, one must ordinarily be the table's owner or a
78       superuser. However, database owners are allowed to analyze all tables
79       in their databases, except shared catalogs. (The restriction for shared
80       catalogs means that a true database-wide ANALYZE can only be performed
81       by a superuser.)  ANALYZE will skip over any tables that the calling
82       user does not have permission to analyze.
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84       Foreign tables are analyzed only when explicitly selected. Not all
85       foreign data wrappers support ANALYZE. If the table's wrapper does not
86       support ANALYZE, the command prints a warning and does nothing.
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88       In the default PostgreSQL configuration, the autovacuum daemon (see
89       Section 25.1.6) takes care of automatic analyzing of tables when they
90       are first loaded with data, and as they change throughout regular
91       operation. When autovacuum is disabled, it is a good idea to run
92       ANALYZE periodically, or just after making major changes in the
93       contents of a table. Accurate statistics will help the planner to
94       choose the most appropriate query plan, and thereby improve the speed
95       of query processing. A common strategy for read-mostly databases is to
96       run VACUUM and ANALYZE once a day during a low-usage time of day. (This
97       will not be sufficient if there is heavy update activity.)
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99       ANALYZE requires only a read lock on the target table, so it can run in
100       parallel with other activity on the table.
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102       The statistics collected by ANALYZE usually include a list of some of
103       the most common values in each column and a histogram showing the
104       approximate data distribution in each column. One or both of these can
105       be omitted if ANALYZE deems them uninteresting (for example, in a
106       unique-key column, there are no common values) or if the column data
107       type does not support the appropriate operators. There is more
108       information about the statistics in Chapter 25.
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110       For large tables, ANALYZE takes a random sample of the table contents,
111       rather than examining every row. This allows even very large tables to
112       be analyzed in a small amount of time. Note, however, that the
113       statistics are only approximate, and will change slightly each time
114       ANALYZE is run, even if the actual table contents did not change. This
115       might result in small changes in the planner's estimated costs shown by
116       EXPLAIN. In rare situations, this non-determinism will cause the
117       planner's choices of query plans to change after ANALYZE is run. To
118       avoid this, raise the amount of statistics collected by ANALYZE, as
119       described below.
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121       The extent of analysis can be controlled by adjusting the
122       default_statistics_target configuration variable, or on a
123       column-by-column basis by setting the per-column statistics target with
124       ALTER TABLE ... ALTER COLUMN ... SET STATISTICS. The target value sets
125       the maximum number of entries in the most-common-value list and the
126       maximum number of bins in the histogram. The default target value is
127       100, but this can be adjusted up or down to trade off accuracy of
128       planner estimates against the time taken for ANALYZE and the amount of
129       space occupied in pg_statistic. In particular, setting the statistics
130       target to zero disables collection of statistics for that column. It
131       might be useful to do that for columns that are never used as part of
132       the WHERE, GROUP BY, or ORDER BY clauses of queries, since the planner
133       will have no use for statistics on such columns.
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135       The largest statistics target among the columns being analyzed
136       determines the number of table rows sampled to prepare the statistics.
137       Increasing the target causes a proportional increase in the time and
138       space needed to do ANALYZE.
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140       One of the values estimated by ANALYZE is the number of distinct values
141       that appear in each column. Because only a subset of the rows are
142       examined, this estimate can sometimes be quite inaccurate, even with
143       the largest possible statistics target. If this inaccuracy leads to bad
144       query plans, a more accurate value can be determined manually and then
145       installed with ALTER TABLE ... ALTER COLUMN ... SET (n_distinct = ...).
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147       If the table being analyzed has inheritance children, ANALYZE gathers
148       two sets of statistics: one on the rows of the parent table only, and a
149       second including rows of both the parent table and all of its children.
150       This second set of statistics is needed when planning queries that
151       process the inheritance tree as a whole. The child tables themselves
152       are not individually analyzed in this case. The autovacuum daemon,
153       however, will only consider inserts or updates on the parent table
154       itself when deciding whether to trigger an automatic analyze for that
155       table. If that table is rarely inserted into or updated, the
156       inheritance statistics will not be up to date unless you run ANALYZE
157       manually.
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159       For partitioned tables, ANALYZE gathers statistics by sampling rows
160       from all partitions; in addition, it will recurse into each partition
161       and update its statistics. Each leaf partition is analyzed only once,
162       even with multi-level partitioning. No statistics are collected for
163       only the parent table (without data from its partitions), because with
164       partitioning it's guaranteed to be empty.
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166       The autovacuum daemon does not process partitioned tables, nor does it
167       process inheritance parents if only the children are ever modified. It
168       is usually necessary to periodically run a manual ANALYZE to keep the
169       statistics of the table hierarchy up to date.
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171       If any child tables or partitions are foreign tables whose foreign data
172       wrappers do not support ANALYZE, those tables are ignored while
173       gathering inheritance statistics.
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175       If the table being analyzed is completely empty, ANALYZE will not
176       record new statistics for that table. Any existing statistics will be
177       retained.
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179       Each backend running ANALYZE will report its progress in the
180       pg_stat_progress_analyze view. See Section 28.4.1 for details.
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COMPATIBILITY

183       There is no ANALYZE statement in the SQL standard.
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SEE ALSO

186       VACUUM(7), vacuumdb(1), Section 20.4.4, Section 25.1.6, Section 28.4.1
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190PostgreSQL 15.4                      2023                           ANALYZE(7)
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