| SELECTNameSELECT -- retrieve rows from a table or view SynopsisSELECT [ ALL | DISTINCT [ ON ( expression [, ...] ) ] ]
* | expression [ AS output_name ] [, ...]
[ FROM from_item [, ...] ]
[ WHERE condition ]
[ GROUP BY expression [, ...] ]
[ HAVING condition [, ...] ]
[ { UNION | INTERSECT | EXCEPT } [ ALL ] select ]
[ START WITH [ start_condition ] CONNECT BY PRIOR [ connect_condition ] ]
[ ORDER BY expression [ ASC | DESC | USING operator ] [, ...] ]
[ LIMIT { count | ALL } ]
[ OFFSET start ]
[ FOR UPDATE [ OF table_name [, ...] ] ]
where from_item can be one of:
[ ONLY ] table_name [ * ] [ [ AS ] alias [ ( column_alias [, ...] ) ] ]
( select ) [ AS ] alias [ ( column_alias [, ...] ) ]
function_name ( [ argument [, ...] ] ) [ AS ] alias [ ( column_alias [, ...] | column_definition [, ...] ) ]
function_name ( [ argument [, ...] ] ) AS ( column_definition [, ...] )
from_item [ NATURAL ] join_type from_item [ ON join_condition | USING ( join_column [, ...] ) ] Description SELECT retrieves rows from one or more tables.
The general processing of SELECT is as follows:
All elements in the FROM list are computed.
(Each element in the FROM list is a real or
virtual table.) If more than one element is specified in the
FROM list, they are cross-joined together.
(See FROM Clause below.)
If the WHERE clause is specified, all rows
that do not satisfy the condition are eliminated from the
output. (See WHERE Clause below.)
If the GROUP BY clause is specified, the
output is divided into groups of rows that match on one or more
values. If the HAVING clause is present, it
eliminates groups that do not satisfy the given condition. (See
GROUP BY Clause and
HAVING Clause below.)
Using the operators UNION,
INTERSECT, and EXCEPT, the
output of more than one SELECT statement can
be combined to form a single result set. The
UNION operator returns all rows that are in
one or both of the result sets. The
INTERSECT operator returns all rows that are
strictly in both result sets. The EXCEPT
operator returns the rows that are in the first result set but
not in the second. In all three cases, duplicate rows are
eliminated unless ALL is specified. (See
UNION Clause, INTERSECT Clause, and
EXCEPT Clause below.)
The actual output rows are computed using the
SELECT output expressions for each selected
row. (See
SELECT List
below.)
The START WITH.......CONNECT BY clause is used to select data that has a hierarchical relationship.
Such data is in the form of some parent child relationship - for example, managers and their employees.
If the ORDER BY clause is specified, the
returned rows are sorted in the specified order. If
ORDER BY is not given, the rows are returned
in whatever order the system finds fastest to produce. (See
ORDER BY Clause below.)
DISTINCT eliminates duplicate rows from the
result. DISTINCT ON eliminates rows that
match on all the specified expressions. ALL
(the default) will return all candidate rows, including
duplicates. (See DISTINCT Clause below.)
If the LIMIT or OFFSET
clause is specified, the SELECT statement
only returns a subset of the result rows. (See LIMIT Clause below.)
The FOR UPDATE clause causes the
SELECT statement to lock the selected rows
against concurrent updates. (See FOR UPDATE Clause below.)
You must have SELECT privilege on a table to
read its values. The use of FOR UPDATE requires
UPDATE privilege as well.
ParametersFROM Clause The FROM clause specifies one or more source
tables for the SELECT. If multiple sources are
specified, the result is the Cartesian product (cross join) of all
the sources. But usually qualification conditions
are added to restrict the returned rows to a small subset of the
Cartesian product.
The FROM clause can contain the following
elements:
- table_name
The name (optionally schema-qualified) of an existing table or
view. If ONLY is specified, only that table is
scanned. If ONLY is not specified, the table and
all its descendant tables (if any) are scanned. *
can be appended to the table name to indicate that descendant
tables are to be scanned, but in the current version, this is
the default behavior.
- alias
A substitute name for the FROM item containing the
alias. An alias is used for brevity or to eliminate ambiguity
for self-joins (where the same table is scanned multiple
times). When an alias is provided, it completely hides the
actual name of the table or function; for example given
FROM foo AS f, the remainder of the
SELECT must refer to this FROM
item as f not foo. If an alias is
written, a column alias list can also be written to provide
substitute names for one or more columns of the table.
- select
A sub-SELECT can appear in the
FROM clause. This acts as though its
output were created as a temporary table for the duration of
this single SELECT command. Note that the
sub-SELECT must be surrounded by
parentheses, and an alias must be
provided for it.
- function_name
Function calls can appear in the FROM
clause. (This is especially useful for functions that return
result sets, but any function can be used.) This acts as
though its output were created as a temporary table for the
duration of this single SELECT command. An
alias may also be used. If an alias is written, a column alias
list can also be written to provide substitute names for one
or more attributes of the function's composite return type. If
the function has been defined as returning the record
data type, then an alias or the key word AS must
be present, followed by a column definition list in the form
( column_name data_type [, ... ]
). The column definition list must match the actual
number and types of columns returned by the function.
- join_type
One of
[ INNER ] JOIN LEFT [ OUTER ] JOIN RIGHT [ OUTER ] JOIN FULL [ OUTER ] JOIN CROSS JOIN
For the INNER and OUTER join types, a
join condition must be specified, namely exactly one of
NATURAL, ON join_condition, or
USING (join_column [, ...]).
See below for the meaning. For CROSS JOIN,
none of these clauses may appear.
A JOIN clause combines two
FROM items. Use parentheses if necessary to
determine the order of nesting. In the absence of parentheses,
JOINs nest left-to-right. In any case
JOIN binds more tightly than the commas
separating FROM items.
CROSS JOIN and INNER JOIN
produce a simple Cartesian product, the same result as you get from
listing the two items at the top level of FROM,
but restricted by the join condition (if any).
CROSS JOIN is equivalent to INNER JOIN ON
(TRUE), that is, no rows are removed by qualification.
These join types are just a notational convenience, since they
do nothing you couldn't do with plain FROM and
WHERE.
LEFT OUTER JOIN returns all rows in the qualified
Cartesian product (i.e., all combined rows that pass its join
condition), plus one copy of each row in the left-hand table
for which there was no right-hand row that passed the join
condition. This left-hand row is extended to the full width
of the joined table by inserting null values for the
right-hand columns. Note that only the JOIN
clause's own condition is considered while deciding which rows
have matches. Outer conditions are applied afterwards.
Conversely, RIGHT OUTER JOIN returns all the
joined rows, plus one row for each unmatched right-hand row
(extended with nulls on the left). This is just a notational
convenience, since you could convert it to a LEFT
OUTER JOIN by switching the left and right inputs.
FULL OUTER JOIN returns all the joined rows, plus
one row for each unmatched left-hand row (extended with nulls
on the right), plus one row for each unmatched right-hand row
(extended with nulls on the left).
- ON join_condition
join_condition is
an expression resulting in a value of type
boolean (similar to a WHERE
clause) that specifies which rows in a join are considered to
match.
- USING (join_column [, ...])
A clause of the form USING ( a, b, ... ) is
shorthand for ON left_table.a = right_table.a AND
left_table.b = right_table.b .... Also,
USING implies that only one of each pair of
equivalent columns will be included in the join output, not
both.
- NATURAL
NATURAL is shorthand for a
USING list that mentions all columns in the two
tables that have the same names.
WHERE Clause The optional WHERE clause has the general form
WHERE condition
where condition is
any expression that evaluates to a result of type
boolean. Any row that does not satisfy this
condition will be eliminated from the output. A row satisfies the
condition if it returns true when the actual row values are
substituted for any variable references.
GROUP BY Clause The optional GROUP BY clause has the general form
GROUP BY expression [, ...]
GROUP BY will condense into a single row all
selected rows that share the same values for the grouped
expressions. expression can be an input column
name, or the name or ordinal number of an output column
(SELECT list item), or an arbitrary
expression formed from input-column values. In case of ambiguity,
a GROUP BY name will be interpreted as an
input-column name rather than an output column name.
Aggregate functions, if any are used, are computed across all rows
making up each group, producing a separate value for each group
(whereas without GROUP BY, an aggregate
produces a single value computed across all the selected rows).
When GROUP BY is present, it is not valid for
the SELECT list expressions to refer to
ungrouped columns except within aggregate functions, since there
would be more than one possible value to return for an ungrouped
column.
HAVING Clause The optional HAVING clause has the general form
HAVING condition
where condition is
the same as specified for the WHERE clause.
HAVING eliminates group rows that do not
satisfy the condition. HAVING is different
from WHERE: WHERE filters
individual rows before the application of GROUP
BY, while HAVING filters group rows
created by GROUP BY. Each column referenced in
condition must
unambiguously reference a grouping column, unless the reference
appears within an aggregate function.
UNION Clause The UNION clause has this general form:
select_statement UNION [ ALL ] select_statement
select_statement is
any SELECT statement without an ORDER
BY, LIMIT, or FOR UPDATE clause.
(ORDER BY and LIMIT can be attached to a
sub-expression if it is enclosed in parentheses. Without
parentheses, these clauses will be taken to apply to the result of
the UNION, not to its right-hand input
expression.)
The UNION operator computes the set union of
the rows returned by the involved SELECT
statements. A row is in the set union of two result sets if it
appears in at least one of the result sets. The two
SELECT statements that represent the direct
operands of the UNION must produce the same
number of columns, and corresponding columns must be of compatible
data types.
The result of UNION does not contain any duplicate
rows unless the ALL option is specified.
ALL prevents elimination of duplicates.
Multiple UNION operators in the same
SELECT statement are evaluated left to right,
unless otherwise indicated by parentheses.
Currently, FOR UPDATE may not be specified either for
a UNION result or for any input of a UNION.
INTERSECT Clause The INTERSECT clause has this general form:
select_statement INTERSECT [ ALL ] select_statement
select_statement is
any SELECT statement without an ORDER
BY, LIMIT, or FOR UPDATE clause.
The INTERSECT operator computes the set
intersection of the rows returned by the involved
SELECT statements. A row is in the
intersection of two result sets if it appears in both result sets.
The result of INTERSECT does not contain any
duplicate rows unless the ALL option is specified.
With ALL, a row that has m duplicates in the left
table and n duplicates in the right table will appear min(m,n)
times in the result set.
Multiple INTERSECT operators in the same
SELECT statement are evaluated left to right,
unless parentheses dictate otherwise.
INTERSECT binds more tightly than
UNION. That is, A UNION B INTERSECT
C will be read as A UNION (B INTERSECT
C).
EXCEPT Clause The EXCEPT clause has this general form:
select_statement EXCEPT [ ALL ] select_statement
select_statement is
any SELECT statement without an ORDER
BY, LIMIT, or FOR UPDATE clause.
The EXCEPT operator computes the set of rows
that are in the result of the left SELECT
statement but not in the result of the right one.
The result of EXCEPT does not contain any
duplicate rows unless the ALL option is specified.
With ALL, a row that has m duplicates in the left
table and n duplicates in the right table will appear max(m-n,0)
times in the result set.
Multiple EXCEPT operators in the same
SELECT statement are evaluated left to right,
unless parentheses dictate otherwise. EXCEPT binds at
the same level as UNION.
SELECT List The SELECT list (between the key words
SELECT and FROM) specifies expressions
that form the output rows of the SELECT
statement. The expressions can (and usually do) refer to columns
computed in the FROM clause. Using the clause
AS output_name, another
name can be specified for an output column. This name is
primarily used to label the column for display. It can also be
used to refer to the column's value in ORDER BY and
GROUP BY clauses, but not in the WHERE or
HAVING clauses; there you must write out the
expression instead.
Instead of an expression, * can be written in
the output list as a shorthand for all the columns of the selected
rows. Also, one can write table_name.* as a
shorthand for the columns coming from just that table.
START WITH... CONNECT BY Clause The START WITH clause is used to identify the row(s) to be used as the root(s) of a hierarchical query.
The CONNECT BY clause is used to specify the relationship between parent rows and child rows of the hierarchy.
To find the children of a parent row, the clause evaluates the PRIOR expression of the
CONNECT BY clause for the parent row and the other expression for each row in the table.
Rows for which the condition is true are the children of the parent. For example, the following query lists
a hierarchy of managers and their employees where the mgr column contains the employee number of the manager
for the given employee row.
SELECT LEVEL, ename employee, empno, mgr
FROM emp
START WITH mgr IS NULL CONNECT BY PRIOR empno = mgr;
For more information, see Hierarchical Queries.
ORDER BY Clause The optional ORDER BY clause has this general form:
ORDER BY expression [ ASC | DESC | USING operator ] [, ...]
expression can be the
name or ordinal number of an output column
(SELECT list item), or it can be an arbitrary
expression formed from input-column values.
The ORDER BY clause causes the result rows to
be sorted according to the specified expressions. If two rows are
equal according to the leftmost expression, the are compared
according to the next expression and so on. If they are equal
according to all specified expressions, they are returned in
an implementation-dependent order.
The ordinal number refers to the ordinal (left-to-right) position
of the result column. This feature makes it possible to define an
ordering on the basis of a column that does not have a unique
name. This is never absolutely necessary because it is always
possible to assign a name to a result column using the
AS clause.
It is also possible to use arbitrary expressions in the
ORDER BY clause, including columns that do not
appear in the SELECT result list. Thus the
following statement is valid:
SELECT name FROM distributors ORDER BY code;
A limitation of this feature is that an ORDER BY
clause applying to the result of a UNION,
INTERSECT, or EXCEPT clause may only
specify an output column name or number, not an expression.
If an ORDER BY expression is a simple name that
matches both a result column name and an input column name,
ORDER BY will interpret it as the result column name.
This is the opposite of the choice that GROUP BY will
make in the same situation. This inconsistency is made to be
compatible with the SQL standard.
Optionally one may add the key word ASC (ascending) or
DESC (descending) after any expression in the
ORDER BY clause. If not specified, ASC is
assumed by default. Alternatively, a specific ordering operator
name may be specified in the USING clause.
ASC is usually equivalent to USING < and
DESC is usually equivalent to USING >.
(But the creator of a user-defined data type can define exactly what the
default sort ordering is, and it might correspond to operators with other
names.)
The null value sorts higher than any other value. In other words,
with ascending sort order, null values sort at the end, and with
descending sort order, null values sort at the beginning.
Character-string data is sorted according to the locale-specific
collation order that was established when the database cluster
was initialized.
LIMIT Clause The LIMIT clause consists of two independent
sub-clauses:
LIMIT { count | ALL }
OFFSET start
count specifies the
maximum number of rows to return, while start specifies the number of rows
to skip before starting to return rows. When both are specified,
start rows are skipped
before starting to count the count rows to be returned.
When using LIMIT, it is a good idea to use an
ORDER BY clause that constrains the result rows into a
unique order. Otherwise you will get an unpredictable subset of
the query's rows---you may be asking for the tenth through
twentieth rows, but tenth through twentieth in what ordering? You
don't know what ordering unless you specify ORDER BY.
The query planner takes LIMIT into account when
generating a query plan, so you are very likely to get different
plans (yielding different row orders) depending on what you use
for LIMIT and OFFSET. Thus, using
different LIMIT/OFFSET values to select
different subsets of a query result will give
inconsistent results unless you enforce a predictable
result ordering with ORDER BY. This is not a bug; it
is an inherent consequence of the fact that SQL does not promise
to deliver the results of a query in any particular order unless
ORDER BY is used to constrain the order.
DISTINCT Clause If DISTINCT is specified, all duplicate rows are
removed from the result set (one row is kept from each group of
duplicates). ALL specifies the opposite: all rows are
kept; that is the default.
DISTINCT ON ( expression [, ...] )
keeps only the first row of each set of rows where the given
expressions evaluate to equal. The DISTINCT ON
expressions are interpreted using the same rules as for
ORDER BY (see above). Note that the "first
row" of each set is unpredictable unless ORDER
BY is used to ensure that the desired row appears first. For
example,
SELECT DISTINCT ON (location) location, time, report
FROM weather_reports
ORDER BY location, time DESC;
retrieves the most recent weather report for each location. But
if we had not used ORDER BY to force descending order
of time values for each location, we'd have gotten a report from
an unpredictable time for each location.
The DISTINCT ON expression(s) must match the leftmost
ORDER BY expression(s). The ORDER BY clause
will normally contain additional expression(s) that determine the
desired precedence of rows within each DISTINCT ON group.
FOR UPDATE Clause The FOR UPDATE clause has this form:
FOR UPDATE [ OF table_name [, ...] ]
FOR UPDATE causes the rows retrieved by the
SELECT statement to be locked as though for
update. This prevents them from being modified or deleted by
other transactions until the current transaction ends. That is,
other transactions that attempt UPDATE,
DELETE, or SELECT FOR UPDATE
of these rows will be blocked until the current transaction ends.
Also, if an UPDATE, DELETE,
or SELECT FOR UPDATE from another transaction
has already locked a selected row or rows, SELECT FOR
UPDATE will wait for the other transaction to complete,
and will then lock and return the updated row (or no row, if the
row was deleted). For further discussion see MVCC.
If specific tables are named in FOR UPDATE,
then only rows coming from those tables are locked; any other
tables used in the SELECT are simply read as
usual.
FOR UPDATE cannot be used in contexts where
returned rows can't be clearly identified with individual table
rows; for example it can't be used with aggregation.
FOR UPDATE may appear before
LIMIT as well. It
effectively executes after LIMIT, however, and
so that is the recommended place to write it.
Examples 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
...
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 hours';
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
The next example shows how to obtain the union of the tables
distributors and
actors, restricting the results to those that begin
with the letter W in each table. Only distinct rows are wanted, so the
key word ALL 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
This example shows how to use a function in the FROM
clause, both with and without a column definition list:
CREATE FUNCTION distributors(int) RETURNS SETOF distributors AS $$
SELECT * FROM distributors WHERE did = $1;
$$ LANGUAGE SQL;
SELECT * FROM distributors(111);
did | name
-----+-------------
111 | Walt Disney
CREATE FUNCTION distributors_2(int) RETURNS SETOF record AS $$
SELECT * FROM distributors WHERE did = $1;
$$ LANGUAGE SQL;
SELECT * FROM distributors_2(111) AS (f1 int, f2 text);
f1 | f2
-----+-------------
111 | Walt Disney
Compatibility Of course, the SELECT statement is compatible
with the SQL standard. But there are some extensions and some
missing features.
Omitted FROM Clauses EnterpriseDB allows one to omit the
FROM clause. It has a straightforward use to
compute the results of simple expressions:
SELECT 2+2;
?column?
----------
4
Some other SQL databases cannot do this except
by introducing a dummy one-row table from which to do the
SELECT.
A less obvious use is to abbreviate a normal
SELECT from tables:
SELECT distributors.* WHERE distributors.name = 'Westward';
did | name
-----+----------
108 | Westward
This works because an implicit FROM item is
added for each table that is referenced in other parts of the
SELECT statement but not mentioned in
FROM.
While this is a convenient shorthand, it's easy to misuse. For
example, the command
SELECT distributors.* FROM distributors d;
is probably a mistake; most likely the user meant
SELECT d.* FROM distributors d;
rather than the unconstrained join
SELECT distributors.* FROM distributors d, distributors distributors;
that he will actually get. To help detect this sort of mistake,
EnterpriseDB will warn if the
implicit-FROM feature is used in a
SELECT statement that also contains an explicit
FROM clause.
The AS Key Word In the SQL standard, the optional key word AS is just
noise and can be omitted without affecting the meaning. In
EnterpriseDB also, for both SELECT and
FROM clause, the AS keyword is optional and can
be omitted.
Namespace Available to GROUP BY and ORDER BY In the SQL-92 standard, an ORDER BY clause may
only use result column names or numbers, while a GROUP
BY clause may only use expressions based on input column
names. EnterpriseDB extends each of
these clauses to allow the other choice as well (but it uses the
standard's interpretation if there is ambiguity).
EnterpriseDB also allows both clauses to
specify arbitrary expressions. Note that names appearing in an
expression will always be taken as input-column names, not as
result-column names.
SQL:1999 uses a slightly different definition which is not entirely upward
compatible
with SQL-92. In most cases, however, EnterpriseDB
will interpret an ORDER BY or GROUP
BY expression the same way SQL:1999 does.
Nonstandard Clauses The clauses DISTINCT ON,
LIMIT, and OFFSET are not
defined in the SQL standard.
| |
---|