SELECT
selection
table-expression
|
A select-expression
specifies a
result table. It is used in the following Natural SQL statements:
INSERT
|
SELECT
|
UPDATE
This document covers the following topics:
{scalar-expression
[[ |
The selection
specifies the
items to be selected.
Syntax Element Description:
Syntax Element | Description |
---|---|
ALL/DISTINCT |
Elimination of Duplicate Rows:
Duplicate rows are not automatically eliminated from the result of
a The alternative to |
scalar-expression |
Scalar Expression:
Instead of, or as well as, simple column names, a selection can also include general scalar expressions containing scalar operators and scalar functions which provide computed values (see also the section Scalar Expressions). Example: SELECT NAME, 65 - AGE FROM SQL-PERSONNEL ... |
correlation-name |
Correlation Name:
A The |
* |
Asterisk Notation:
All columns of all tables specified in the Example: SELECT * FROM SQL-PERSONNEL, SQL-AUTOMOBILES ... |
from-clause [where-clause] |
[group-by-clause] [having-clause] |
The table-expression
specifies
from where and according to what criteria rows are to be selected.
The following topics are covered below:
FROM
table-reference,…
|
This clause specifies from which tables the result set is built.
table-name [[ |
The tables specified in the FROM
clause must contain the
column fields used in the selection list.
You can either specify a single table or produce an intermediate table resulting from a subquery or a "join" operation (see below).
Since various tables (that is, DDMs) can be addressed in one
FROM
clause and since a
table-expression
can contain several
FROM
clauses if subqueries
are specified, the database ID (DBID) of the first DDM specified in the first
FROM
clause of the whole expression is used to identify the
underlying database involved.
Optionally, a
correlation-clause
can be assigned to a
table-name
. For a
subquery
, a
correlation-clause
must be
assigned.
table-reference |
|
JOIN
table-reference
ON
join-condition |
||||||
(joined-table) |
A joined-table
specifies an
intermediate table resulting from a "join" operation.
The "join" can be an INNER
, LEFT
OUTER
, RIGHT OUTER
or FULL OUTER
JOIN
. If you do not specify anything, INNER
applies.
Multiple "join" operations can be nested; that is, the
tables which create the intermediate result table can themselves be
intermediate result tables of a "join" operation or a
subquery
; and the latter, in turn, can
also have a joined-table
or another
subquery
in its FROM
clause.
For INNER
, LEFT OUTER
, and RIGHT
OUTER
joins:
search-condition |
For FULL OUTER
joins:
full-join-expression =
full-join-expression [AND
]
|
column-name | |||||
|
(column-name
,
)
|
Within a
join-expression
only
column-names
and the
scalar-function
VALUE
(or its synonym
COALESCE
)
are allowed.
See details on column-name
.
[WHERE
search-condition]
|
The WHERE
clause is used a to specify the selection
criteria (search-condition
) for the
rows to be selected.
Example:
DEFINE DATA LOCAL 01 NAME (A20) 01 AGE (I2) END-DEFINE ... SELECT * INTO NAME, AGE FROM SQL-PERSONNEL WHERE AGE = 32 END-SELECT ...
For further information, see Search Conditions.
[GROUP BY
column-reference,]
|
The GROUP BY
clause rearranges the table represented by
the FROM
clause into groups in a way that all rows within each
group have the same value for the GROUP BY
columns.
Each column-reference
in the
selection list must be either a GROUP BY
column or specified
within an aggregate-function
.
Aggregate functions are applied to the individual groups (not to the entire
table). The result table contains as many rows as groups.
For further information, see Column Reference and Aggregate Function.
Example:
DEFINE DATA LOCAL 1 #AGE (I2) 1 #NUMBER (I2) END-DEFINE ... SELECT AGE , COUNT(*) INTO #AGE, #NUMBER FROM SQL-PERSONNEL GROUP BY AGE ...
If the GROUP BY
clause is preceded by a WHERE
clause, all rows that do not satisfy the WHERE
clause are excluded
before any grouping is done.
[HAVING
search-condition]
|
If the HAVING
clause is specified, the GROUP
BY
clause should also be specified.
Just as the WHERE
clause is used to exclude rows from a
result table, the HAVING
clause is used to exclude groups and
therefore also based on a
search-condition
. Scalar expressions in
a HAVING
clause must be single-valued per group.
For further information, see Scalar Expressions and Search Conditions.
Example:
DEFINE DATA LOCAL 1 #NAME (A20) 1 #AVGAGE (I2) 1 #NUMBER (I2) END-DEFINE ... SELECT NAME, AVG(AGE), COUNT(*) INTO #NAME, #AVGAGE, #NUMBER FROM SQL-PERSONNEL GROUP BY NAME HAVING COUNT(*) > 1 ...
Example 1:
DEFINE DATA LOCAL 01 #NAME (A20) 01 #FIRSTNAME (A15) 01 #AGE (I2) ... END-DEFINE ... SELECT NAME, FIRSTNAME, AGE INTO #NAME, #FIRSTNAME, #AGE FROM SQL-PERSONNEL WHERE NAME IS NOT NULL AND AGE > 20 ... DISPLAY #NAME #FIRSTNAME #AGE END-SELECT ... END
Example 2:
DEFINE DATA LOCAL 01 #COUNT (I4) ... END-DEFINE ... SELECT SINGLE COUNT(*) INTO #COUNT FROM SQL-PERSONNEL ...