Computer Science
SELECT(l) SELECT(l)
NAME
SELECT - Retrieve rows from a table or view.
SYNOPSIS
SELECT [ ALL | DISTINCT [ ON column ] ]
expression [ AS name ] [, ...]
[ INTO [ TEMPORARY | TEMP ] [ TABLE ] new_table ]
[ FROM table [ alias ] [, ...] ]
[ WHERE condition ]
[ GROUP BY column [, ...] ]
[ HAVING condition [, ...] ]
[ { UNION [ ALL ] | INTERSECT | EXCEPT } select ]
[ ORDER BY column [ ASC | DESC ] [, ...] ]
[ FOR UPDATE [ OF class_name... ] ]
[ LIMIT { count | ALL } [ { OFFSET | , } count ] ]
INPUTS
expression
The name of a table's column or an expression.
name Specifies another name for a column or an expres-
sion using the AS clause. name cannot be used in
the WHERE condition. It can, however, be referenced
in associated ORDER BY or GROUP BY clauses.
TEMPORARY
TEMP The table is created unique to this session, and is
automatically dropped on session exit.
new_table
If the INTO TABLE clause is specified, the result
of the query will be stored in another table with
the indicated name. The target table (new_table)
will be created automatically and should not exist
before this command. Refer to SELECT INTO for more
information.
Note: The CREATE TABLE AS statement will also cre-
ate a new table from a select query.
table The name of an existing table referenced by the
FROM clause.
alias An alternate name for the preceding table. It is
used for brevity or to eliminate ambiguity for
joins within a single table.
condition
A boolean expression giving a result of true or
false. See the WHERE clause.
column The name of a table's column.
select A select statement with all features except the
ORDER BY clause.
OUTPUTS
Rows The complete set of rows resulting from the query
specification.
count The count of rows returned by the query.
DESCRIPTION
SELECT will return rows from one or more tables. Candi-
dates for selection are rows which satisfy the WHERE con-
dition; if WHERE is omitted, all rows are candidates.
(See select(l).)
DISTINCT will eliminate all duplicate rows from the selec-
tion. DISTINCT ON column will eliminate all duplicates in
the specified column; this is equivalent to using GROUP BY
column. ALL will return all candidate rows, including
duplicates.
The GROUP BY clause allows a user to divide a table con-
ceptually into groups. (See select(l).)
The HAVING clause specifies a grouped table derived by the
elimination of groups from the result of the previously
specified clause. (See select(l).)
The ORDER BY clause allows a user to specify that he/she
wishes the rows sorted according to the ASCending or
DESCending mode operator. (See select(l).)
The UNION clause allows the result to be the collection of
rows returned by the queries involved. (See select(l).)
The INTERSECT give you the rows that are common to both
queries. (See select(l).)
The EXCEPT give you the rows in the upper query not in the
lower query. (See select(l).)
The FOR UPDATE clause allows the SELECT statement to per-
form exclusive locking of selected rows.
The LIMIT clause allows control over which rows are
returned by the query.
You must have SELECT privilege to a table to read its val-
ues (See the GRANT/REVOKE statements).
WHERE CLAUSE
The optional WHERE condition has the general form:
WHERE boolean_expr
boolean_expr can consist of any expression which evaluates
to a boolean value. In many cases, this expression will
be
expr cond_op expr
or
log_op expr
where cond_op can be one of: =, <, <=, >, >= or <>, a con-
ditional operator like ALL, ANY, IN, LIKE, or a locally-
defined operator, and log_op can be one of: AND, OR, NOT.
The comparison returns either TRUE or FALSE and all
instances will be discarded if the expression evaluates to
FALSE.
GROUP BY CLAUSE
GROUP BY specifies a grouped table derived by the applica-
tion of this clause:
GROUP BY column [, ...]
GROUP BY will condense into a single row all rows that
share the same values for the grouped columns; aggregates
return values derived from all rows that make up the
group. The value returned for an ungrouped and unaggre-
gated column is dependent on the order in which rows hap-
pen to be read from the database.
HAVING CLAUSE
The optional HAVING condition has the general form:
HAVING cond_expr
where cond_expr is the same as specified for the WHERE
clause.
HAVING specifies a grouped table derived by the elimina-
tion of groups from the result of the previously specified
clause that do not meet the cond_expr.
Each column referenced in cond_expr shall unambiguously
reference a grouping column.
ORDER BY CLAUSE
ORDER BY column [ ASC | DESC ] [, ...]
column can be either a column name or an ordinal number.
The ordinal numbers refers to the ordinal (left-to-right)
position of the column. This feature makes it possible to
define an ordering on the basis of a column that does not
have a proper name. This is never absolutely necessary
because it is always possible assign a name to a calcu-
lated column using the AS clause, e.g.:
SELECT title, date_prod + 1 AS newlen FROM films ORDER BY newlen;
From release 6.4 of PostgreSQL, the columns in the ORDER
BY clause do not need to appear in the SELECT clause.
Thus the following statement is now legal:
SELECT name FROM distributors ORDER BY code;
Optionally one may add the keyword DESC (descending) or
ASC (ascending) after each column name in the ORDER BY
clause. If not specified, ASC is assumed by default.
UNION CLAUSE
table_query UNION [ ALL ] table_query
[ ORDER BY column [ ASC | DESC ] [, ...] ]
where table_query specifies any select expression without
an ORDER BY clause.
The UNION clause allows the result to be the collection of
rows returned by the queries involved. (See UNION clause).
The two tables that represent the direct operands of the
UNION must have the same number of columns, and corre-
sponding columns must be of compatible data types.
By default, the result of UNION does not contain any
duplicate rows unless the ALL clause is specified.
Multiple UNION operators in the same SELECT statement are
evaluated left to right. Note that the ALL keyword is not
global in nature, being applied only for the current pair
of table results.
INTERSECT CLAUSE
table_query INTERSECT table_query
[ ORDER BY column [ ASC | DESC ] [, ...] ]
where table_query specifies any select expression without
an ORDER BY clause.
The INTERSECT clause allows the result to be all rows that
are common to the involved queries. The two tables that
represent the direct operands of the INTERSECT must have
the same number of columns, and corresponding columns must
be of compatible data types.
Multiple INTERSECT operators in the same SELECT statement
are evaluated left to right.
EXCEPT CLAUSE
table_query EXCEPT table_query
[ ORDER BY column [ ASC | DESC ] [, ...] ]
where table_query specifies any select expression without
an ORDER BY clause.
The EXCEPT clause allows the result to be rows from the
upper query that are not in the lower query. (See EXCEPT
clause). The two tables that represent the direct
operands of the EXCEPT must have the same number of
columns, and corresponding columns must be of compatible
data types.
Multiple EXCEPT operators in the same SELECT statement are
evaluated left to right.
USAGE
To join the table films with the table distributors:
SELECT f.title, f.did, d.name, f.date_prod, f.kind
FROM distributors d, films f
WHERE f.did = d.did
title |did|name | date_prod|kind
-------------------------+---+----------------+----------+----------
The Third Man |101|British Lion |1949-12-23|Drama
The African Queen |101|British Lion |1951-08-11|Romantic
Une Femme est une Femme |102|Jean Luc Godard |1961-03-12|Romantic
Vertigo |103|Paramount |1958-11-14|Action
Becket |103|Paramount |1964-02-03|Drama
48 Hrs |103|Paramount |1982-10-22|Action
War and Peace |104|Mosfilm |1967-02-12|Drama
West Side Story |105|United Artists |1961-01-03|Musical
Bananas |105|United Artists |1971-07-13|Comedy
Yojimbo |106|Toho |1961-06-16|Drama
There's a Girl in my Soup|107|Columbia |1970-06-11|Comedy
Taxi Driver |107|Columbia |1975-05-15|Action
Absence of Malice |107|Columbia |1981-11-15|Action
Storia di una donna |108|Westward |1970-08-15|Romantic
The King and I |109|20th Century Fox|1956-08-11|Musical
Das Boot |110|Bavaria Atelier |1981-11-11|Drama
Bed Knobs and Broomsticks|111|Walt Disney | |Musical
To sum the column len of all films and group the results
by kind:
SELECT kind, SUM(len) AS total FROM films GROUP BY kind;
kind |total
----------+------
Action | 07:34
Comedy | 02:58
Drama | 14:28
Musical | 06:42
Romantic | 04:38
To sum the column len of all films, group the results by
kind and show those group totals that are less than 5
hours:
SELECT kind, SUM(len) AS total
FROM films
GROUP BY kind
HAVING SUM(len) < INTERVAL '5 hour';
kind |total
----------+------
Comedy | 02:58
Romantic | 04:38
The following two examples are identical ways of sorting
the individual results according to the contents of the
second column (name):
SELECT * FROM distributors ORDER BY name;
SELECT * FROM distributors ORDER BY 2;
did|name
---+----------------
109|20th Century Fox
110|Bavaria Atelier
101|British Lion
107|Columbia
102|Jean Luc Godard
113|Luso films
104|Mosfilm
103|Paramount
106|Toho
105|United Artists
111|Walt Disney
112|Warner Bros.
108|Westward
This example shows how to obtain the union of the tables
distributors and actors, restricting the results to those
that begin with letter W in each table. Only distinct rows
are to be used, so the ALL keyword is omitted:
-- distributors: actors:
-- did|name id|name
-- ---+------------ --+--------------
-- 108|Westward 1|Woody Allen
-- 111|Walt Disney 2|Warren Beatty
-- 112|Warner Bros. 3|Walter Matthau
-- ... ...
SELECT distributors.name
FROM distributors
WHERE distributors.name LIKE 'W%'
UNION
SELECT actors.name
FROM actors
WHERE actors.name LIKE 'W%'
name
--------------
Walt Disney
Walter Matthau
Warner Bros.
Warren Beatty
Westward
Woody Allen
COMPATIBILITY
EXTENSIONS
Postgres allows one to omit the FROM clause from a query.
This feature was retained from the original PostQuel query
language:
SELECT distributors.* WHERE name = 'Westwood';
did|name
---+----------------
108|Westward
SQL92
SELECT CLAUSE
In the SQL92 standard, the optional keyword "AS" is just
noise and can be omitted without affecting the meaning.
The Postgres parser requires this keyword when renaming
columns because the type extensibility features lead to
parsing ambiguities in this context.
In the SQL92 standard, the new column name specified in an
"AS" clause may be referenced in GROUP BY and HAVING
clauses. This is not currently allowed in Postgres.
The DISTINCT ON phrase is not part of SQL92.
UNION CLAUSE
The SQL92 syntax for UNION allows an additional CORRE-
SPONDING BY clause:
table_query UNION [ALL]
[CORRESPONDING [BY (column [,...])]]
table_query
The CORRESPONDING BY clause is not supported by Postgres.
SQL - Language Statements 15 August 1999 1
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