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EXPLAIN()			 SQL Commands			     EXPLAIN()

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 sequen‐
       tial 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 execu‐
       tion 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 esti‐
       mates 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 ANA‐
	      LYZE on an INSERT, UPDATE, DELETE, 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
	      Show  the	 full internal representation of the plan tree, rather
	      than just a summary. Usually this option is only useful for spe‐
	      cialized	debugging  purposes.  The  VERBOSE  output  is	either
	      pretty-printed  or  not,	depending  on  the  setting   of   the
	      explain_pretty_print configuration parameter.

       statement
	      Any  SELECT, INSERT, UPDATE, DELETE, VALUES, EXECUTE, or DECLARE
	      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	 infe‐
       rior 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 consider‐
       able 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	condi‐
       tion, 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 func‐
       tion:

       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 con‐
       tents 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 sam‐
       pling  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)]

SQL - Language Statements	  2008-02-01			     EXPLAIN()
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