NAME
EXPLAIN - show the execution plan of a statement
SYNOPSIS
EXPLAIN [ ANALYZE ] [ VERBOSE ] statement
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 units of disk page fetches). Actually
two numbers are shown: the start-up time before the first row can be
returned, and the total time to return all the rows. For most queries
the total time is what matters, but in contexts such as a subquery in
EXISTS, the planner will choose the smallest start-up time instead of
the smallest total time (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. The total elapsed time expended within each plan node (in
milliseconds) and total number of rows it actually returned are added
to the display. 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, CREATE TABLE AS, or
EXECUTE statement without letting the command affect your data,
use this approach:
BEGIN;
EXPLAIN ANALYZE ...;
ROLLBACK;
PARAMETERS
ANALYZE
Carry out the command and show the actual run times.
VERBOSE
Include the output column list for each node in the plan tree.
statement
Any SELECT, INSERT, UPDATE, DELETE, VALUES, EXECUTE, DECLARE, or
CREATE TABLE AS statement, whose execution plan you wish to see.
NOTES
There is only sparse documentation on the optimizer’s use of cost
information in PostgreSQL. Refer to in the documentation for more
information.
In order to allow the PostgreSQL query planner to make reasonably
informed decisions when optimizing queries, the ANALYZE [analyze(7)]
statement should be run to record statistics about the distribution of
data within the table. If you have not done this (or if the statistical
distribution of the data in the table has changed significantly since
the last time ANALYZE was run), the estimated costs are unlikely to
conform to the real properties of the query, and consequently an
inferior query plan might be chosen.
Genetic query optimization (GEQO) randomly tests execution plans.
Therefore, when the number of join relations exceeds geqo_threshold
causing genetic query optimization to be used, the execution plan is
likely to change each time the statement is executed.
In order to measure the run-time cost of each node in the execution
plan, the current implementation of EXPLAIN ANALYZE can add
considerable 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.
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)
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 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=39.53..39.53 rows=1 width=8) (actual time=0.661..0.672 rows=7 loops=1)
-> Index Scan using test_pkey on test (cost=0.00..32.97 rows=1311 width=8) (actual time=0.050..0.395 rows=99 loops=1)
Index Cond: ((id > $1) AND (id < $2))
Total runtime: 0.851 ms
(4 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.
COMPATIBILITY
There is no EXPLAIN statement defined in the SQL standard.
SEE ALSO
ANALYZE [analyze(7)]