Provided by: postgresql-client-16_16.6-0ubuntu0.24.10.1_amd64 
NAME
EXPLAIN - show the execution plan of a statement
SYNOPSIS
EXPLAIN [ ( option [, ...] ) ] statement
EXPLAIN [ ANALYZE ] [ VERBOSE ] statement
where option can be one of:
ANALYZE [ boolean ]
VERBOSE [ boolean ]
COSTS [ boolean ]
SETTINGS [ boolean ]
GENERIC_PLAN [ boolean ]
BUFFERS [ boolean ]
WAL [ boolean ]
TIMING [ boolean ]
SUMMARY [ boolean ]
FORMAT { TEXT | XML | JSON | YAML }
DESCRIPTION
This command displays the execution plan that the PostgreSQL planner generates for the supplied
statement. The execution plan shows how the table(s) referenced by the statement will be scanned — by
plain sequential scan, index scan, etc. — and if multiple tables are referenced, what join algorithms
will be used to bring together the required rows from each input table.
The most critical part of the display is the estimated statement execution cost, which is the planner's
guess at how long it will take to run the statement (measured in cost units that are arbitrary, but
conventionally mean disk page fetches). Actually two numbers are shown: the start-up cost before the
first row can be returned, and the total cost to return all the rows. For most queries the total cost is
what matters, but in contexts such as a subquery in EXISTS, the planner will choose the smallest start-up
cost instead of the smallest total cost (since the executor will stop after getting one row, anyway).
Also, if you limit the number of rows to return with a LIMIT clause, the planner makes an appropriate
interpolation between the endpoint costs to estimate which plan is really the cheapest.
The ANALYZE option causes the statement to be actually executed, not only planned. Then actual run time
statistics are added to the display, including the total elapsed time expended within each plan node (in
milliseconds) and the total number of rows it actually returned. This is useful for seeing whether the
planner's estimates are close to reality.
Important
Keep in mind that the statement is actually executed when the ANALYZE option is used. Although
EXPLAIN will discard any output that a SELECT would return, other side effects of the statement will
happen as usual. If you wish to use EXPLAIN ANALYZE on an INSERT, UPDATE, DELETE, MERGE, CREATE TABLE
AS, or EXECUTE statement without letting the command affect your data, use this approach:
BEGIN;
EXPLAIN ANALYZE ...;
ROLLBACK;
Only the ANALYZE and VERBOSE options can be specified, and only in that order, without surrounding the
option list in parentheses. Prior to PostgreSQL 9.0, the unparenthesized syntax was the only one
supported. It is expected that all new options will be supported only in the parenthesized syntax.
PARAMETERS
ANALYZE
Carry out the command and show actual run times and other statistics. This parameter defaults to
FALSE.
VERBOSE
Display additional information regarding the plan. Specifically, include the output column list for
each node in the plan tree, schema-qualify table and function names, always label variables in
expressions with their range table alias, and always print the name of each trigger for which
statistics are displayed. The query identifier will also be displayed if one has been computed, see
compute_query_id for more details. This parameter defaults to FALSE.
COSTS
Include information on the estimated startup and total cost of each plan node, as well as the
estimated number of rows and the estimated width of each row. This parameter defaults to TRUE.
SETTINGS
Include information on configuration parameters. Specifically, include options affecting query
planning with value different from the built-in default value. This parameter defaults to FALSE.
GENERIC_PLAN
Allow the statement to contain parameter placeholders like $1, and generate a generic plan that does
not depend on the values of those parameters. See PREPARE for details about generic plans and the
types of statement that support parameters. This parameter cannot be used together with ANALYZE. It
defaults to FALSE.
BUFFERS
Include information on buffer usage. Specifically, include the number of shared blocks hit, read,
dirtied, and written, the number of local blocks hit, read, dirtied, and written, the number of temp
blocks read and written, and the time spent reading and writing data file blocks and temporary file
blocks (in milliseconds) if track_io_timing is enabled. A hit means that a read was avoided because
the block was found already in cache when needed. Shared blocks contain data from regular tables and
indexes; local blocks contain data from temporary tables and indexes; while temporary blocks contain
short-term working data used in sorts, hashes, Materialize plan nodes, and similar cases. The number
of blocks dirtied indicates the number of previously unmodified blocks that were changed by this
query; while the number of blocks written indicates the number of previously-dirtied blocks evicted
from cache by this backend during query processing. The number of blocks shown for an upper-level
node includes those used by all its child nodes. In text format, only non-zero values are printed.
This parameter defaults to FALSE.
WAL
Include information on WAL record generation. Specifically, include the number of records, number of
full page images (fpi) and the amount of WAL generated in bytes. In text format, only non-zero values
are printed. This parameter may only be used when ANALYZE is also enabled. It defaults to FALSE.
TIMING
Include actual startup time and time spent in each node in the output. The overhead of repeatedly
reading the system clock can slow down the query significantly on some systems, so it may be useful
to set this parameter to FALSE when only actual row counts, and not exact times, are needed. Run time
of the entire statement is always measured, even when node-level timing is turned off with this
option. This parameter may only be used when ANALYZE is also enabled. It defaults to TRUE.
SUMMARY
Include summary information (e.g., totaled timing information) after the query plan. Summary
information is included by default when ANALYZE is used but otherwise is not included by default, but
can be enabled using this option. Planning time in EXPLAIN EXECUTE includes the time required to
fetch the plan from the cache and the time required for re-planning, if necessary.
FORMAT
Specify the output format, which can be TEXT, XML, JSON, or YAML. Non-text output contains the same
information as the text output format, but is easier for programs to parse. This parameter defaults
to TEXT.
boolean
Specifies whether the selected option should be turned on or off. You can write TRUE, ON, or 1 to
enable the option, and FALSE, OFF, or 0 to disable it. The boolean value can also be omitted, in
which case TRUE is assumed.
statement
Any SELECT, INSERT, UPDATE, DELETE, MERGE, VALUES, EXECUTE, DECLARE, CREATE TABLE AS, or CREATE
MATERIALIZED VIEW AS statement, whose execution plan you wish to see.
OUTPUTS
The command's result is a textual description of the plan selected for the statement, optionally
annotated with execution statistics. Section 14.1 describes the information provided.
NOTES
In order to allow the PostgreSQL query planner to make reasonably informed decisions when optimizing
queries, the pg_statistic data should be up-to-date for all tables used in the query. Normally the
autovacuum daemon will take care of that automatically. But if a table has recently had substantial
changes in its contents, you might need to do a manual ANALYZE rather than wait for autovacuum to catch
up with the changes.
In order to measure the run-time cost of each node in the execution plan, the current implementation of
EXPLAIN ANALYZE adds profiling overhead to query execution. As a result, running EXPLAIN ANALYZE on a
query can sometimes take significantly longer than executing the query normally. The amount of overhead
depends on the nature of the query, as well as the platform being used. The worst case occurs for plan
nodes that in themselves require very little time per execution, and on machines that have relatively
slow operating system calls for obtaining the time of day.
EXAMPLES
To show the plan for a simple query on a table with a single integer column and 10000 rows:
EXPLAIN SELECT * FROM foo;
QUERY PLAN
---------------------------------------------------------
Seq Scan on foo (cost=0.00..155.00 rows=10000 width=4)
(1 row)
Here is the same query, with JSON output formatting:
EXPLAIN (FORMAT JSON) SELECT * FROM foo;
QUERY PLAN
--------------------------------
[ +
{ +
"Plan": { +
"Node Type": "Seq Scan",+
"Relation Name": "foo", +
"Alias": "foo", +
"Startup Cost": 0.00, +
"Total Cost": 155.00, +
"Plan Rows": 10000, +
"Plan Width": 4 +
} +
} +
]
(1 row)
If there is an index and we use a query with an indexable WHERE condition, EXPLAIN might show a different
plan:
EXPLAIN SELECT * FROM foo WHERE i = 4;
QUERY PLAN
--------------------------------------------------------------
Index Scan using fi on foo (cost=0.00..5.98 rows=1 width=4)
Index Cond: (i = 4)
(2 rows)
Here is the same query, but in YAML format:
EXPLAIN (FORMAT YAML) SELECT * FROM foo WHERE i='4';
QUERY PLAN
-------------------------------
- Plan: +
Node Type: "Index Scan" +
Scan Direction: "Forward"+
Index Name: "fi" +
Relation Name: "foo" +
Alias: "foo" +
Startup Cost: 0.00 +
Total Cost: 5.98 +
Plan Rows: 1 +
Plan Width: 4 +
Index Cond: "(i = 4)"
(1 row)
XML format is left as an exercise for the reader.
Here is the same plan with cost estimates suppressed:
EXPLAIN (COSTS FALSE) SELECT * FROM foo WHERE i = 4;
QUERY PLAN
----------------------------
Index Scan using fi on foo
Index Cond: (i = 4)
(2 rows)
Here is an example of a query plan for a query using an aggregate function:
EXPLAIN SELECT sum(i) FROM foo WHERE i < 10;
QUERY PLAN
---------------------------------------------------------------------
Aggregate (cost=23.93..23.93 rows=1 width=4)
-> Index Scan using fi on foo (cost=0.00..23.92 rows=6 width=4)
Index Cond: (i < 10)
(3 rows)
Here is an example of using EXPLAIN EXECUTE to display the execution plan for a prepared query:
PREPARE query(int, int) AS SELECT sum(bar) FROM test
WHERE id > $1 AND id < $2
GROUP BY foo;
EXPLAIN ANALYZE EXECUTE query(100, 200);
QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------
HashAggregate (cost=10.77..10.87 rows=10 width=12) (actual time=0.043..0.044 rows=10 loops=1)
Group Key: foo
Batches: 1 Memory Usage: 24kB
-> Index Scan using test_pkey on test (cost=0.29..10.27 rows=99 width=8) (actual time=0.009..0.025 rows=99 loops=1)
Index Cond: ((id > 100) AND (id < 200))
Planning Time: 0.244 ms
Execution Time: 0.073 ms
(7 rows)
Of course, the specific numbers shown here depend on the actual contents of the tables involved. Also
note that the numbers, and even the selected query strategy, might vary between PostgreSQL releases due
to planner improvements. In addition, the ANALYZE command uses random sampling to estimate data
statistics; therefore, it is possible for cost estimates to change after a fresh run of ANALYZE, even if
the actual distribution of data in the table has not changed.
Notice that the previous example showed a “custom” plan for the specific parameter values given in
EXECUTE. We might also wish to see the generic plan for a parameterized query, which can be done with
GENERIC_PLAN:
EXPLAIN (GENERIC_PLAN)
SELECT sum(bar) FROM test
WHERE id > $1 AND id < $2
GROUP BY foo;
QUERY PLAN
-------------------------------------------------------------------------------
HashAggregate (cost=26.79..26.89 rows=10 width=12)
Group Key: foo
-> Index Scan using test_pkey on test (cost=0.29..24.29 rows=500 width=8)
Index Cond: ((id > $1) AND (id < $2))
(4 rows)
In this case the parser correctly inferred that $1 and $2 should have the same data type as id, so the
lack of parameter type information from PREPARE was not a problem. In other cases it might be necessary
to explicitly specify types for the parameter symbols, which can be done by casting them, for example:
EXPLAIN (GENERIC_PLAN)
SELECT sum(bar) FROM test
WHERE id > $1::integer AND id < $2::integer
GROUP BY foo;
COMPATIBILITY
There is no EXPLAIN statement defined in the SQL standard.
SEE ALSO
ANALYZE(7)