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Support expressions of the form 'scalar op ANY (array)' and

'scalar op ALL (array)', where the operator is applied between the
lefthand scalar and each element of the array.  The operator must
yield boolean; the result of the construct is the OR or AND of the
per-element results, respectively.

Original coding by Joe Conway, after an idea of Peter's.  Rewritten
by Tom to keep the implementation strictly separate from subqueries.
This commit is contained in:
Tom Lane
2003-06-29 00:33:44 +00:00
parent df7618020b
commit bee217924d
28 changed files with 875 additions and 157 deletions

View File

@ -1,5 +1,5 @@
<!--
$Header: /cvsroot/pgsql/doc/src/sgml/func.sgml,v 1.157 2003/06/27 00:33:25 tgl Exp $
$Header: /cvsroot/pgsql/doc/src/sgml/func.sgml,v 1.158 2003/06/29 00:33:42 tgl Exp $
PostgreSQL documentation
-->
@ -7457,52 +7457,14 @@ SELECT col1 FROM tab1
</sect2>
<sect2>
<title><literal>IN</literal> (scalar form)</title>
<synopsis>
<replaceable>expression</replaceable> IN (<replaceable>value</replaceable><optional>, ...</optional>)
</synopsis>
<para>
The right-hand side of this form of <token>IN</token> is a parenthesized list
of scalar expressions. The result is <quote>true</> if the left-hand expression's
result is equal to any of the right-hand expressions. This is a shorthand
notation for
<synopsis>
<replaceable>expression</replaceable> = <replaceable>value1</replaceable>
OR
<replaceable>expression</replaceable> = <replaceable>value2</replaceable>
OR
...
</synopsis>
</para>
<para>
Note that if the left-hand expression yields null, or if there are
no equal right-hand values and at least one right-hand expression yields
null, the result of the <token>IN</token> construct will be null, not false.
This is in accordance with SQL's normal rules for Boolean combinations
of null values.
</para>
<note>
<para>
This form of <token>IN</token> is not truly a subquery expression, but it
seems best to document it in the same place as subquery <token>IN</token>.
</para>
</note>
</sect2>
<sect2>
<title><literal>IN</literal> (subquery form)</title>
<title><literal>IN</literal></title>
<synopsis>
<replaceable>expression</replaceable> IN (<replaceable>subquery</replaceable>)
</synopsis>
<para>
The right-hand side of this form of <token>IN</token> is a parenthesized
The right-hand side is a parenthesized
subquery, which must return exactly one column. The left-hand expression
is evaluated and compared to each row of the subquery result.
The result of <token>IN</token> is <quote>true</> if any equal subquery row is found.
@ -7538,7 +7500,7 @@ OR
</para>
<para>
As usual, null values in the expressions or subquery rows are combined per
As usual, null values in the rows are combined per
the normal rules of SQL Boolean expressions. Two rows are considered
equal if all their corresponding members are non-null and equal; the rows
are unequal if any corresponding members are non-null and unequal;
@ -7549,55 +7511,14 @@ OR
</sect2>
<sect2>
<title><literal>NOT IN</literal> (scalar form)</title>
<synopsis>
<replaceable>expression</replaceable> NOT IN (<replaceable>value</replaceable><optional>, ...</optional>)
</synopsis>
<para>
The right-hand side of this form of <token>NOT IN</token> is a parenthesized list
of scalar expressions. The result is <quote>true</quote> if the left-hand expression's
result is unequal to all of the right-hand expressions. This is a shorthand
notation for
<synopsis>
<replaceable>expression</replaceable> &lt;&gt; <replaceable>value1</replaceable>
AND
<replaceable>expression</replaceable> &lt;&gt; <replaceable>value2</replaceable>
AND
...
</synopsis>
</para>
<para>
Note that if the left-hand expression yields null, or if there are
no equal right-hand values and at least one right-hand expression yields
null, the result of the <token>NOT IN</token> construct will be null, not true
as one might naively expect.
This is in accordance with SQL's normal rules for Boolean combinations
of null values.
</para>
<tip>
<para>
<literal>x NOT IN y</literal> is equivalent to <literal>NOT (x IN y)</literal> in all
cases. However, null values are much more likely to trip up the novice when
working with <token>NOT IN</token> than when working with <token>IN</token>.
It's best to express your condition positively if possible.
</para>
</tip>
</sect2>
<sect2>
<title><literal>NOT IN </literal>(subquery form)</title>
<title><literal>NOT IN </literal></title>
<synopsis>
<replaceable>expression</replaceable> NOT IN (<replaceable>subquery</replaceable>)
</synopsis>
<para>
The right-hand side of this form of <token>NOT IN</token> is a parenthesized
The right-hand side is a parenthesized
subquery, which must return exactly one column. The left-hand expression
is evaluated and compared to each row of the subquery result.
The result of <token>NOT IN</token> is <quote>true</> if only unequal subquery rows
@ -7633,7 +7554,7 @@ AND
</para>
<para>
As usual, null values in the expressions or subquery rows are combined per
As usual, null values in the rows are combined per
the normal rules of SQL Boolean expressions. Two rows are considered
equal if all their corresponding members are non-null and equal; the rows
are unequal if any corresponding members are non-null and unequal;
@ -7652,7 +7573,7 @@ AND
</synopsis>
<para>
The right-hand side of this form of <token>ANY</token> is a parenthesized
The right-hand side is a parenthesized
subquery, which must return exactly one column. The left-hand expression
is evaluated and compared to each row of the subquery result using the
given <replaceable>operator</replaceable>, which must yield a Boolean
@ -7700,7 +7621,7 @@ AND
</para>
<para>
As usual, null values in the expressions or subquery rows are combined per
As usual, null values in the rows are combined per
the normal rules of SQL Boolean expressions. Two rows are considered
equal if all their corresponding members are non-null and equal; the rows
are unequal if any corresponding members are non-null and unequal;
@ -7718,7 +7639,7 @@ AND
</synopsis>
<para>
The right-hand side of this form of <token>ALL</token> is a parenthesized
The right-hand side is a parenthesized
subquery, which must return exactly one column. The left-hand expression
is evaluated and compared to each row of the subquery result using the
given <replaceable>operator</replaceable>, which must yield a Boolean
@ -7765,7 +7686,7 @@ AND
</para>
<para>
As usual, null values in the expressions or subquery rows are combined per
As usual, null values in the rows are combined per
the normal rules of SQL Boolean expressions. Two rows are considered
equal if all their corresponding members are non-null and equal; the rows
are unequal if any corresponding members are non-null and unequal;
@ -7780,24 +7701,201 @@ AND
<synopsis>
(<replaceable>expression</replaceable> <optional>, <replaceable>expression</replaceable> ...</optional>) <replaceable>operator</replaceable> (<replaceable>subquery</replaceable>)
(<replaceable>expression</replaceable> <optional>, <replaceable>expression</replaceable> ...</optional>) <replaceable>operator</replaceable> (<replaceable>expression</replaceable> <optional>, <replaceable>expression</replaceable> ...</optional>)
</synopsis>
<para>
The left-hand side is a list of scalar expressions. The right-hand side
can be either a list of scalar expressions of the same length, or a
parenthesized subquery, which must return exactly as many columns as there
The left-hand side is a list of scalar expressions. The right-hand side is
a parenthesized subquery, which must return exactly as many columns as there
are expressions on the left-hand side. Furthermore, the subquery cannot
return more than one row. (If it returns zero rows, the result is taken to
be null.) The left-hand side is evaluated and compared row-wise to the
single subquery result row, or to the right-hand expression list.
single subquery result row.
Presently, only <literal>=</literal> and <literal>&lt;&gt;</literal> operators are allowed
in row-wise comparisons.
The result is <quote>true</> if the two rows are equal or unequal, respectively.
</para>
<para>
As usual, null values in the expressions or subquery rows are combined per
As usual, null values in the rows are combined per
the normal rules of SQL Boolean expressions. Two rows are considered
equal if all their corresponding members are non-null and equal; the rows
are unequal if any corresponding members are non-null and unequal;
otherwise the result of the row comparison is unknown (null).
</para>
</sect2>
</sect1>
<sect1 id="functions-comparisons">
<title>Row and Array Comparisons</title>
<indexterm>
<primary>in</primary>
</indexterm>
<indexterm>
<primary>not in</primary>
</indexterm>
<indexterm>
<primary>any</primary>
</indexterm>
<indexterm>
<primary>all</primary>
</indexterm>
<indexterm>
<primary>some</primary>
</indexterm>
<para>
This section describes several specialized constructs for making
multiple comparisons between groups of values. These forms are
syntactically related to the subquery forms of the previous section,
but do not involve subqueries.
The forms involving array subexpressions are
<productname>PostgreSQL</productname> extensions; the rest are
<acronym>SQL</acronym>-compliant.
All of the expression forms documented in this section return
Boolean (true/false) results.
</para>
<sect2>
<title><literal>IN</literal></title>
<synopsis>
<replaceable>expression</replaceable> IN (<replaceable>value</replaceable><optional>, ...</optional>)
</synopsis>
<para>
The right-hand side is a parenthesized list
of scalar expressions. The result is <quote>true</> if the left-hand expression's
result is equal to any of the right-hand expressions. This is a shorthand
notation for
<synopsis>
<replaceable>expression</replaceable> = <replaceable>value1</replaceable>
OR
<replaceable>expression</replaceable> = <replaceable>value2</replaceable>
OR
...
</synopsis>
</para>
<para>
Note that if the left-hand expression yields null, or if there are
no equal right-hand values and at least one right-hand expression yields
null, the result of the <token>IN</token> construct will be null, not false.
This is in accordance with SQL's normal rules for Boolean combinations
of null values.
</para>
</sect2>
<sect2>
<title><literal>NOT IN</literal></title>
<synopsis>
<replaceable>expression</replaceable> NOT IN (<replaceable>value</replaceable><optional>, ...</optional>)
</synopsis>
<para>
The right-hand side is a parenthesized list
of scalar expressions. The result is <quote>true</quote> if the left-hand expression's
result is unequal to all of the right-hand expressions. This is a shorthand
notation for
<synopsis>
<replaceable>expression</replaceable> &lt;&gt; <replaceable>value1</replaceable>
AND
<replaceable>expression</replaceable> &lt;&gt; <replaceable>value2</replaceable>
AND
...
</synopsis>
</para>
<para>
Note that if the left-hand expression yields null, or if there are
no equal right-hand values and at least one right-hand expression yields
null, the result of the <token>NOT IN</token> construct will be null, not true
as one might naively expect.
This is in accordance with SQL's normal rules for Boolean combinations
of null values.
</para>
<tip>
<para>
<literal>x NOT IN y</literal> is equivalent to <literal>NOT (x IN y)</literal> in all
cases. However, null values are much more likely to trip up the novice when
working with <token>NOT IN</token> than when working with <token>IN</token>.
It's best to express your condition positively if possible.
</para>
</tip>
</sect2>
<sect2>
<title><literal>ANY</literal>/<literal>SOME</literal> (array)</title>
<synopsis>
<replaceable>expression</replaceable> <replaceable>operator</replaceable> ANY (<replaceable>array expression</replaceable>)
<replaceable>expression</replaceable> <replaceable>operator</replaceable> SOME (<replaceable>array expression</replaceable>)
</synopsis>
<para>
The right-hand side is a parenthesized expression, which must yield an
array value.
The left-hand expression
is evaluated and compared to each element of the array using the
given <replaceable>operator</replaceable>, which must yield a Boolean
result.
The result of <token>ANY</token> is <quote>true</> if any true result is obtained.
The result is <quote>false</> if no true result is found (including the special
case where the array has zero elements).
</para>
<para>
<token>SOME</token> is a synonym for <token>ANY</token>.
</para>
</sect2>
<sect2>
<title><literal>ALL</literal> (array)</title>
<synopsis>
<replaceable>expression</replaceable> <replaceable>operator</replaceable> ALL (<replaceable>array expression</replaceable>)
</synopsis>
<para>
The right-hand side is a parenthesized expression, which must yield an
array value.
The left-hand expression
is evaluated and compared to each element of the array using the
given <replaceable>operator</replaceable>, which must yield a Boolean
result.
The result of <token>ALL</token> is <quote>true</> if all comparisons yield true
(including the special case where the array has zero elements).
The result is <quote>false</> if any false result is found.
</para>
</sect2>
<sect2>
<title>Row-wise Comparison</title>
<synopsis>
(<replaceable>expression</replaceable> <optional>, <replaceable>expression</replaceable> ...</optional>) <replaceable>operator</replaceable> (<replaceable>expression</replaceable> <optional>, <replaceable>expression</replaceable> ...</optional>)
</synopsis>
<para>
Each side is a list of scalar expressions; the two lists must be
of the same length. Each side is evaluated and they are compared
row-wise.
Presently, only <literal>=</literal> and <literal>&lt;&gt;</literal> operators are allowed
in row-wise comparisons.
The result is <quote>true</> if the two rows are equal or unequal, respectively.
</para>
<para>
As usual, null values in the rows are combined per
the normal rules of SQL Boolean expressions. Two rows are considered
equal if all their corresponding members are non-null and equal; the rows
are unequal if any corresponding members are non-null and unequal;