SELECT
selection
table-expression
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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:
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scalar-expression
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A selection specifies the
columns of the result set tables 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 ... |
AS |
The optional keyword AS
introduces a
correlation-name
for a column.
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correlation-name |
Correlation Name:
A The
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* |
Asterisk Notation:
All columns of the result table are selected. Example: SELECT * FROM SQL-PERSONNEL, SQL-AUTOMOBILES ... |
| from-clause [where-clause] |
| [group-by-clause] [having-clause] |
| [order-by-clause] [fetch-first-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,…
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This clause specifies from which tables the result set is built.
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table-name [[ |
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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.
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table-reference |
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JOIN
table-reference
ON
join-condition |
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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
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column-name |
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(column-name
,
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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]
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The WHERE clause is used 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]
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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 ...
ORDER BY
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sort-key |
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INPUT SEQUENCE |
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ORDER OF
table-designator |
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column-name |
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| integer | ||
| sort-key-expression |
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FETCH FIRST
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1integer |
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ROWSROW |
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ONLY
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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 ...