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Rip out table expression section from SQL syntax chapter and develop it 

into new chapter on query (SELECT) syntax.  In the end this should become
a narrative and example-filled counterpart to the SELECT reference page.
This commit is contained in:
Peter Eisentraut 2001-01-22 23:34:33 +00:00
parent e9c936ff38
commit 21a3857f1f
4 changed files with 832 additions and 532 deletions
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<!entity about SYSTEM "about.sgml">
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<!entity plsql SYSTEM "plsql.sgml">
<!entity pltcl SYSTEM "pltcl.sgml">
<!entity psql SYSTEM "psql.sgml">
<!entity query-ug SYSTEM "query-ug.sgml">
<!entity queries SYSTEM "queries.sgml">
<!entity storage SYSTEM "storage.sgml">
<!entity syntax SYSTEM "syntax.sgml">
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<!-- $Header: /cvsroot/pgsql/doc/src/sgml/queries.sgml,v 1.1 2001/01/22 23:34:33 petere Exp $ -->
<chapter id="queries">
<title>Queries</title>
<para>
A <firstterm>query</firstterm> is the process of or the command to
retrieve data from a database. In SQL the <command>SELECT</command>
command is used to specify queries. The general syntax of the
<command>SELECT</command> command is
<synopsis>
SELECT <replaceable>select_list</replaceable> FROM <replaceable>table_expression</replaceable> <optional><replaceable>sort_specification</replaceable></optional>
</synopsis>
The following sections describe the details of the select list, the
table expression, and the sort specification. The simplest kind of
query has the form
<programlisting>
SELECT * FROM table1;
</programlisting>
Assuming that there is a table called table1, this command would
retrieve all rows and all columns from table1. (The method of
retrieval depends on the client application. For example, the
<application>psql</application> program will display an ASCII-art
table on the screen, client libraries will offer functions to
retrieve individual rows and columns.) The select list
specification <literal>*</literal> means all columns that the table
expression happens to provide. A select list can also select a
subset of the available columns or even make calculations on the
columns before retrieving them; see <xref
linkend="queries-select-lists">. For example, if table1 has columns
named a, b, and c (and perhaps others) you can make the following
query:
<programlisting>
SELECT a, b + c FROM table1;
</programlisting>
(assuming that b and c are of a numeric data type).
</para>
<para>
<literal>FROM table1</literal> is a particularly simple kind of
table expression. In general, table expressions can be complex
constructs of base tables, joins, and subqueries. But you can also
omit the table expression entirely and use the SELECT command as a
calculator:
<programlisting>
SELECT 3 * 4;
</programlisting>
This is more useful if the expressions in the select list return
varying results. For example, you could call a function this way.
<programlisting>
SELECT random();
</programlisting>
</para>
<sect1 id="queries-table-expressions">
<title>Table Expressions</title>
<para>
A <firstterm>table expression</firstterm> specifies a table. The
table expression contains a FROM clause that is optionally followed
by WHERE, GROUP BY, and HAVING clauses. Trivial table expressions
simply refer to a table on disk, a so-called base table, but more
complex expressions can be used to modify or combine base tables in
various ways.
</para>
<para>
The WHERE, GROUP BY, and HAVING clauses in the table expression
specify a pipeline of successive transformations performed on the
table derived in the FROM clause. The final transformed table that
is derived provides the input rows used to derive output rows as
specified by the select list of derived column value expressions.
</para>
<sect2 id="queries-from">
<title>FROM clause</title>
<para>
The FROM clause derives a table from one or more other tables
given in a comma-separated table reference list.
<synopsis>
FROM <replaceable>table_reference</replaceable> <optional>, <replaceable>table_reference</replaceable> <optional>, ...</optional></optional>
</synopsis>
A table reference may be a table name or a derived table such as a
subquery, a table join, or complex combinations of these. If more
than one table reference is listed in the FROM clause they are
CROSS JOINed (see below) to form the derived table that may then
be subject to transformations by the WHERE, GROUP BY, and HAVING
clauses and is finally the result of the overall table expression.
</para>
<para>
If a table reference is a simple table name and it is the
supertable in a table inheritance hierarchy, rows of the table
include rows from all of its subtable successors unless the
keyword ONLY precedes the table name.
</para>
<sect3 id="queries-join">
<title>Joined Tables</title>
<para>
A joined table is a table derived from two other (real or
derived) tables according to the rules of the particular join
type. INNER, OUTER, NATURAL, and CROSS JOIN are supported.
</para>
<variablelist>
<title>Join Types</title>
<varlistentry>
<term>CROSS JOIN</term>
<listitem>
<synopsis>
<replaceable>T1</replaceable> CROSS JOIN <replaceable>T2</replaceable>
</synopsis>
<para>
For each combination of rows from
<replaceable>T1</replaceable> and
<replaceable>T2</replaceable> the derived table will contain a
row consisting of all columns in <replaceable>T1</replaceable>
followed by all columns in <replaceable>T2</replaceable>. If
the tables have have N and M rows respectively, the joined
table will have N * M rows. A cross join is essentially an
<literal>INNER JOIN ON TRUE</literal>.
</para>
<tip>
<para>
<literal>FROM <replaceable>T1</replaceable> CROSS JOIN
<replaceable>T2</replaceable></literal> is equivalent to
<literal>FROM <replaceable>T1</replaceable>,
<replaceable>T2</replaceable></literal>.
</para>
</tip>
</listitem>
</varlistentry>
<varlistentry>
<term>Qualified JOINs</term>
<listitem>
<synopsis>
<replaceable>T1</replaceable> { <optional>INNER</optional> | { LEFT | RIGHT | FULL } <optional>OUTER</optional> } JOIN <replaceable>T2</replaceable> ON <replaceable>boolean expression</replaceable>
<replaceable>T1</replaceable> { <optional>INNER</optional> | { LEFT | RIGHT | FULL } <optional>OUTER</optional> } JOIN <replaceable>T2</replaceable> USING ( <replaceable>join column list</replaceable> )
</synopsis>
<para>
The words <token>INNER</token> and <token>OUTER</token> are
optional for all JOINs. <token>INNER</token> is the default;
<token>LEFT</token>, <token>RIGHT</token>, and
<token>FULL</token> are for OUTER JOINs only.
</para>
<para>
The <firstterm>join condition</firstterm> is specified in the
ON or USING clause. (The meaning of the join condition
depends on the particular join type; see below.) The ON
clause takes a Boolean value expression of the same kind as is
used in a WHERE clause. The USING clause takes a
comma-separated list of column names, which the joined tables
must have in common, and joins the tables on the equality of
those columns as a set, resulting in a joined table having one
column for each common column listed and all of the other
columns from both tables. Thus, <literal>USING (a, b,
c)</literal> is equivalent to <literal>ON (t1.a = t2.a AND
t1.b = t2.b AND t1.c = t2.c)</literal> with the exception that
if ON is used there will be two columns a, b, and c in the
result, whereas with USING there will be only one of each.
</para>
<variablelist>
<varlistentry>
<term>INNER JOIN</term>
<listitem>
<para>
For each row R1 of T1, the joined table has a row for each
row in T2 that satisfies the join condition with R1.
</para>
</listitem>
</varlistentry>
<varlistentry>
<term>LEFT OUTER JOIN</term>
<listitem>
<para>
First, an INNER JOIN is performed. Then, for a row in T1
that does not satisfy the join condition with any row in
T2, a joined row is returned with NULL values in columns of
T2. Thus, the joined table unconditionally has a row for each
row in T1.
</para>
</listitem>
</varlistentry>
<varlistentry>
<term>RIGHT OUTER JOIN</term>
<listitem>
<para>
This is like a left join, only that the result table will
unconditionally have a row for each row in T2.
</para>
</listitem>
</varlistentry>
<varlistentry>
<term>FULL OUTER JOIN</term>
<listitem>
<para>
First, an INNER JOIN is performed. Then, for each row in
T1 that does not satisfy the join condition with any row in
T2, a joined row is returned with null values in columns of
T2. Also, for each row of T2 that does not satisfy the
join condition with any row in T1, a joined row with null
values in the columns of T1 is returned.
</para>
</listitem>
</varlistentry>
</variablelist>
</listitem>
</varlistentry>
<varlistentry>
<term>NATURAL JOIN</term>
<listitem>
<synopsis>
<replaceable>T1</replaceable> NATURAL { <optional>INNER</optional> | { LEFT | RIGHT | FULL } <optional>OUTER</optional> JOIN <replaceable>T2</replaceable>
</synopsis>
<para>
A natural join creates a joined table where every pair of matching
column names between the two tables are merged into one column. The
join specification is effectively a USING clause containing all the
common column names and is otherwise like a Qualified JOIN.
</para>
</listitem>
</varlistentry>
</variablelist>
<para>
Joins of all types can be chained together or nested where either
or both of <replaceable>T1</replaceable> and
<replaceable>T2</replaceable> may be JOINed tables. Parenthesis
can be used around JOIN clauses to control the join order which
are otherwise left to right.
</para>
</sect3>
<sect3 id="queries-subqueries">
<title>Subqueries</title>
<para>
Subqueries specifying a derived table must be enclosed in
parenthesis and <emphasis>must</emphasis> be named using an AS
clause. (See <xref linkend="queries-table-aliases">.)
</para>
<programlisting>
FROM (SELECT * FROM table1) AS alias_name
</programlisting>
<para>
This example is equivalent to <literal>FROM table1 AS
alias_name</literal>. Many subqueries can be written as table
joins instead.
</para>
</sect3>
<sect3 id="queries-table-aliases">
<title>Table and Column Aliases</title>
<para>
A temporary name can be given to tables and complex table
references to be used for references to the derived table in
further processing. This is called a <firstterm>table
alias</firstterm>.
<synopsis>
FROM <replaceable>table_reference</replaceable> AS <replaceable>alias</replaceable>
</synopsis>
Here, <replaceable>alias</replaceable> can be any regular
identifier. The alias becomes the new name of the table
reference for the current query -- it is no longer possible to
refer to the table by the original name (if the table reference
was an ordinary base table). Thus
<programlisting>
SELECT * FROM my_table AS m WHERE my_table.a > 5;
</programlisting>
is not valid SQL syntax. What will happen instead, as a
<productname>Postgres</productname> extension, is that an implicit
table reference is added to the FROM clause, so the query is
processed as if it was written as
<programlisting>
SELECT * FROM my_table AS m, my_table WHERE my_table.a > 5;
</programlisting>
Table aliases are mainly for notational convenience, but it is
necessary to use them when joining a table to itself, e.g.,
<programlisting>
SELECT * FROM my_table AS a CROSS JOIN my_table AS b ...
</programlisting>
Additionally, an alias is required if the table reference is a
subquery.
</para>
<para>
Parenthesis are used to resolve ambiguities. The following
statement will assign the alias <literal>b</literal> to the
result of the join, unlike the previous example:
<programlisting>
SELECT * FROM (my_table AS a CROSS JOIN my_table) AS b ...
</programlisting>
</para>
<para>
<synopsis>
FROM <replaceable>table_reference</replaceable> <replaceable>alias</replaceable>
</synopsis>
This form is equivalent the previously treated one; the
<token>AS</token> key word is noise.
</para>
<para>
<synopsis>
FROM <replaceable>table_reference</replaceable> <optional>AS</optional> <replaceable>alias</replaceable> ( <replaceable>column1</replaceable> <optional>, <replaceable>column2</replaceable> <optional>, ...</optional></optional> )
</synopsis>
In addition to renaming the table as described above, the columns
of the table are also given temporary names. If less column
aliases are specified than the actual table has columns, the last
columns are not renamed. This syntax is especially useful for
self-joins or subqueries.
</para>
</sect3>
<sect3 id="queries-table-expression-examples">
<title>Examples</title>
<para>
<programlisting>
FROM T1 INNER JOIN T2 USING (C)
FROM T1 LEFT OUTER JOIN T2 USING (C)
FROM (T1 RIGHT OUTER JOIN T2 ON (T1C1=T2C1)) AS DT1
FROM (T1 FULL OUTER JOIN T2 USING (C)) AS DT1 (DT1C1, DT1C2)
FROM T1 NATURAL INNER JOIN T2
FROM T1 NATURAL LEFT OUTER JOIN T2
FROM T1 NATURAL RIGHT OUTER JOIN T2
FROM T1 NATURAL FULL OUTER JOIN T2
FROM (SELECT * FROM T1) DT1 CROSS JOIN T2, T3
FROM (SELECT * FROM T1) DT1, T2, T3
</programlisting>
Above are some examples of joined tables and complex derived
tables. Notice how the AS clause renames or names a derived
table and how the optional comma-separated list of column names
that follows gives names or renames the columns. The last two
FROM clauses produce the same derived table from T1, T2, and T3.
The AS keyword was omitted in naming the subquery as DT1. The
keywords OUTER and INNER are noise that can be omitted also.
</para>
</sect3>
</sect2>
<sect2 id="queries-where">
<title>WHERE clause</title>
<para>
The syntax of the WHERE clause is
<synopsis>
WHERE <replaceable>search condition</replaceable>
</synopsis>
where <replaceable>search condition</replaceable> is any value
expression as defined in <xref linkend="sql-expressions"> that
returns a value of type <type>boolean</type>.
</para>
<para>
After the processing of the FROM clause is done, each row of the
derived table is checked against the search condition. If the
result of the condition is true, the row is kept in the output
table, otherwise (that is, if the result is false or NULL) it is
discarded. The search condition typically references at least some
column in the table generated in the FROM clause; this is not
required, but otherwise the WHERE clause will be fairly useless.
</para>
<note>
<para>
Before the implementation of the JOIN syntax, it was necessary to
put the join condition of an inner join in the WHERE clause. For
example, these table expressions are equivalent:
<programlisting>
FROM a, b WHERE a.id = b.id AND b.val &gt; 5
</programlisting>
and
<programlisting>
FROM a INNER JOIN b ON (a.id = b.id) WHERE b.val &gt; 5
</programlisting>
or perhaps even
<programlisting>
FROM a NATURAL JOIN b WHERE b.val &gt; 5
</programlisting>
Which one of these you use is mainly a matter of style. The JOIN
syntax in the FROM clause is probably not as portable to other
products. For outer joins there is no choice in any case: they
must be done in the FROM clause.
</para>
</note>
<programlisting>
FROM FDT WHERE
C1 > 5
FROM FDT WHERE
C1 IN (1, 2, 3)
FROM FDT WHERE
C1 IN (SELECT C1 FROM T2)
FROM FDT WHERE
C1 IN (SELECT C3 FROM T2 WHERE C2 = FDT.C1 + 10)
FROM FDT WHERE
C1 BETWEEN (SELECT C3 FROM T2 WHERE C2 = FDT.C1 + 10) AND 100
FROM FDT WHERE
EXISTS (SELECT C1 FROM T2 WHERE C2 > FDT.C1)
</programlisting>
<para>
In the examples above, FDT is the table derived in the FROM
clause. Rows that do not meet the search condition of the where
clause are eliminated from FDT. Notice the use of scalar
subqueries as value expressions (C2 assumed UNIQUE). Just like
any other query, the subqueries can employ complex table
expressions. Notice how FDT is referenced in the subqueries.
Qualifying C1 as FDT.C1 is only necessary if C1 is the name of a
column in the derived input table of the subquery. Qualifying the
column name adds clarity even when it is not needed. The column
naming scope of an outer query extends into its inner queries.
</para>
</sect2>
<sect2 id="queries-group">
<title>GROUP BY and HAVING clauses</title>
<para>
After passing the WHERE filter, the derived input table may be
subject to grouping, using the GROUP BY clause, and elimination of
group rows using the HAVING clause.
</para>
<synopsis>
SELECT <replaceable>select_list</replaceable> FROM ... <optional>WHERE ...</optional> GROUP BY <replaceable>grouping_column_reference</replaceable> <optional>, <replaceable>grouping_column_reference</replaceable></optional>...
</synopsis>
<para>
The GROUP BY clause is used to group together rows in a table that
share the same values in all the columns listed. The order in
which the columns are listed does not matter (as opposed to an
ORDER BY clause). The purpose is to reduce each group of rows
sharing common values into one group row that is representative of
all rows in the group. This is done to eliminate redundancy in
the output and/or obtain aggregates that apply to these groups.
</para>
<para>
Once a table is grouped, columns that are not included in the
grouping cannot be referenced, except in aggregate expressions,
since a specific value in those columns is ambiguous - which row
in the group should it come from? The grouped-by columns can be
referenced in select list column expressions since they have a
known constant value per group. Aggregate functions on the
ungrouped columns provide values that span the rows of a group,
not of the whole table. For instance, a
<function>sum(sales)</function> on a grouped table by product code
gives the total sales for each product, not the total sales on all
products. The aggregates of the ungrouped columns are
representative of the group, whereas their individual values may
not be.
</para>
<para>
Example:
<programlisting>
SELECT pid, p.name, (sum(s.units) * p.price) AS sales
FROM products p LEFT JOIN sales s USING ( pid )
GROUP BY pid, p.name, p.price;
</programlisting>
In this example, the columns pid, p.name, and p.price must be in
the GROUP BY clause since they are referenced in the query select
list. The column s.units does not have to be in the GROUP BY list
since it is only used in an aggregate expression
(<function>sum()</function>), which represents the group of sales
of a product. For each product, a summary row is returned about
all sales of the product.
</para>
<para>
In strict SQL, GROUP BY can only group by columns of the source
table but Postgres extends this to also allow GROUP BY to group by
select columns in the query select list. Grouping by value
expressions instead of simple column names is also allowed.
</para>
<para>
<synopsis>
SELECT <replaceable>select_list</replaceable> FROM ... <optional>WHERE ...</optional> GROUP BY ... HAVING <replaceable>boolean_expression</replaceable>
</synopsis>
If a table has been grouped using a GROUP BY clause, but then only
certain groups are of interest, the HAVING clause can be used,
much like a WHERE clause, to eliminate groups from a grouped
table. For some queries, Postgres allows a HAVING clause to be
used without a GROUP BY and then it acts just like another WHERE
clause, but the point in using HAVING that way is not clear. Since
HAVING operates on groups, only grouped columns can be listed in
the HAVING clause. If selection based on some ungrouped column is
desired, it should be expressed in the WHERE clause.
</para>
<para>
Example:
<programlisting>
SELECT pid AS "Products",
p.name AS "Over 5000",
(sum(s.units) * (p.price - p.cost)) AS "Past Month Profit"
FROM products p LEFT JOIN sales s USING ( pid )
WHERE p.date > CURRENT_DATE - INTERVAL '4 weeks'
GROUP BY pid, p.name, p.price, p.cost
HAVING p.price > 5000;
</programlisting>
In the example above, the WHERE clause is selecting rows by a
column that is not grouped, while the HAVING clause
is selecting groups with a price greater than 5000.
</para>
</sect2>
</sect1>
<sect1 id="queries-select-lists">
<title>Select Lists</title>
<para>
The table expression in the <command>SELECT</command> command
constructs an intermediate virtual table by possibly combining
tables, views, eliminating rows, grouping, etc. This table is
finally passed on to processing by the select list. The select
list determines which <emphasis>columns</emphasis> of the
intermediate table are retained. The simplest kind of select list
is <literal>*</literal> which retains all columns that the table
expression produces. Otherwise, a select list is a comma-separated
list of value expressions (as defined in <xref
linkend="sql-expressions">). For instance, it could be a list of
column names:
<programlisting>
SELECT a, b, c FROM ...
</programlisting>
The columns names a, b, and c are either the actual names of the
columns of table referenced in the FROM clause, or the aliases
given to them as explained in <xref linkend="queries-table-aliases">.
The name space available in the select list is the same as in the
WHERE clause (unless grouping is used, in which case it is the same
as in the HAVING clause). If more than one table has a column of
the same name, the table name must also be given, as in
<programlisting>
SELECT tbl1.a, tbl2.b, tbl1.c FROM ...
</programlisting>
(see also <xref linkend="queries-where">).
</para>
<para>
If an arbitrary value expression is used in the select list, it
conceptually adds a new virtual column to the returned table. The
value expression is effectively evaluated once for each retrieved
row with real values substituted for any column references. But
the expressions in the select list do not have to reference any
columns in the table expression of the FROM clause; they can be
constant arithmetic expressions as well, for instance.
</para>
<sect2 id="queries-column-labels">
<title>Column Labels</title>
<para>
The entries in the select list can be assigned names for further
processing. The <quote>further processing</quote> in this case is
an optional sort specification and the client application (e.g.,
column headers for display). For example:
<programlisting>
SELECT a AS value, b + c AS sum FROM ...
</programlisting>
The AS key word can in fact be omitted.
</para>
<para>
If no name is chosen, the system assigns a default. For simple
column references, this is the name of the column. For function
calls, this is the name of the function. For complex expressions,
the system will generate a generic name.
</para>
<note>
<para>
The naming of output columns here is different from that done in
the FROM clause (see <xref linkend="queries-table-aliases">). This
pipeline will in fact allow you to rename the same column twice,
but the name chosen in the select list is the one that will be
passed on.
</para>
</note>
</sect2>
<sect2 id="queries-distinct">
<title>DISTINCT</title>
<para>
After the select list has been processed, the result table may
optionally be subject to the elimination of duplicates. The
<token>DISTINCT</token> key word is written directly after the
<token>SELECT</token> to enable this:
<synopsis>
SELECT DISTINCT <replaceable>select_list</replaceable> ...
</synopsis>
(Instead of <token>DISTINCT</token> the word <token>ALL</token>
can be used to select the default behavior of retaining all rows.)
</para>
<para>
Obviously, two rows are considered distinct if they differ in at
least one column value. NULLs are considered equal in this
consideration.
</para>
<para>
Alternatively, an arbitrary expression can determine what rows are
to be considered distinct:
<synopsis>
SELECT DISTINCT ON (<replaceable>expression</replaceable> <optional>, <replaceable>expression</replaceable> ...</optional>) <replaceable>select_list</replaceable> ...
</synopsis>
Here <replaceable>expression</replaceable> is an arbitrary value
expression that is evaluated for all rows. A set of rows for
which all the expressions is equal are considered duplicates and
only the first row is kept in the output. Note that the
<quote>first row</quote> of a set is unpredictable unless the
query is sorted.
</para>
<para>
The DISTINCT ON clause is not part of the SQL standard and is
sometimes considered bad style because of the indeterminate nature
of its results. With judicious use of GROUP BY and subselects in
FROM the construct can be avoided, but it is very often the much
more convenient alternative.
</para>
</sect2>
</sect1>
<sect1 id="queries-union">
<title>Combining Queries</title>
<para>
The results of two queries can be combined using the set operations
union, intersection, and difference. The syntax is
<synopsis>
<replaceable>query1</replaceable> UNION <optional>ALL</optional> <replaceable>query2</replaceable>
<replaceable>query1</replaceable> INTERSECT <optional>ALL</optional> <replaceable>query2</replaceable>
<replaceable>query1</replaceable> EXCEPT <optional>ALL</optional> <replaceable>query2</replaceable>
</synopsis>
<replaceable>query1</replaceable> and
<replaceable>query2</replaceable> are queries that can use any of
the features discussed up to this point. Set operations can also
be nested and chained, for example
<synopsis>
<replaceable>query1</replaceable> UNION <replaceable>query2</replaceable> UNION <replaceable>query3</replaceable>
</synopsis>
which really says
<synopsis>
(<replaceable>query1</replaceable> UNION <replaceable>query2</replaceable>) UNION <replaceable>query3</replaceable>
</synopsis>
</para>
<para>
<command>UNION</command> effectively appends the result of
<replaceable>query2</replaceable> to the result of
<replaceable>query1</replaceable> (although there is no guarantee
that this is the order in which the rows are actually returned) and
eliminates all duplicate rows, in the sense of DISTINCT, unless ALL
is specified.
</para>
<para>
<command>INTERSECT</command> returns all rows that are both in the
result of <replaceable>query1</replaceable> and in the result of
<replaceable>query2</replaceable>. Duplicate rows are eliminated
unless ALL is specified.
</para>
<para>
<command>EXCEPT</command> returns all rows that are in the result
of <replaceable>query1</replaceable> but not in the result of
<replaceable>query2</replaceable>. Again, duplicates are
eliminated unless ALL is specified.
</para>
<para>
In order to calculate the union, intersection, or difference of two
queries, the two queries must be <quote>union compatible</quote>,
which means that they both return the same number of columns, and
that the corresponding columns have compatible data types, as
described in <xref linkend="typeconv-union-case">.
</para>
</sect1>
<sect1 id="queries-order">
<title>Sorting Rows</title>
<para>
After a query has produced an output table (after the select list
has been processed) it can optionally be sorted. If sorting is not
chosen, the rows will be returned in random order. The actual
order in that case will depend on the scan and join plan types and
the order on disk, but it must not be relied on. A particular
ordering can only be guaranteed if the sort step is explicitly
chosen.
</para>
<para>
The ORDER BY clause specifies the sort order:
<synopsis>
SELECT <replaceable>select_list</replaceable> FROM <replaceable>table_expression</replaceable> ORDER BY <replaceable>column1</replaceable> <optional>ASC | DESC</optional> <optional>, <replaceable>column2</replaceable> <optional>ASC | DESC</optional> ...</optional>
</synopsis>
<replaceable>column1</replaceable>, etc., refer to select list
columns: It can either be the name of a column (either the
explicit column label or default name, as explained in <xref
linkend="queries-column-labels">) or the number of a column. Some
examples:
<programlisting>
SELECT a, b FROM table1 ORDER BY a;
SELECT a + b AS sum, c FROM table1 ORDER BY sum;
SELECT a, sum(b) FROM table1 GROUP BY a ORDER BY 1;
</programlisting>
</para>
<para>
As an extension to the SQL standard, Postgres also allows ordering
by arbitrary expressions:
<programlisting>
SELECT a, b FROM table1 ORDER BY a + b;
</programlisting>
References to column names in the FROM clause that are renamed in
the select list are also allowed:
<programlisting>
SELECT a AS b FROM table1 ORDER BY a;
</programlisting>
But this does not work in queries involving UNION, INTERSECT, or
EXCEPT, and is not portable.
</para>
<para>
Each column specification may be followed by an optional ASC or
DESC to set the sort direction. ASC is default. Ascending order
puts smaller values first, where <quote>smaller</quote> is defined
in terms of the <literal>&lt;</literal> operator. Similarly,
descending order is determined with the <literal>&gt;</literal>
operator.
</para>
<para>
If more than one sort column is specified the later entries are
used to sort the rows that are equal under the order imposed by the
earlier sort specifications.
</para>
</sect1>
<sect1 id="queries-limit">
<title>LIMIT and OFFSET</title>
<synopsis>
SELECT <replaceable>select_list</replaceable> FROM <replaceable>table_expression</replaceable> <optional>ORDER BY <replaceable>sort_spec</replaceable></optional> <optional>LIMIT { <replaceable>number</replaceable> | ALL }</optional> <optional>OFFSET <replaceable>number</replaceable></optional>
</synopsis>
<para>
LIMIT allows you to retrieve just a portion of the rows that are
generated by the rest of the query. If a limit count is given, no
more than that many rows will be returned. If an offset is given,
that many rows will be skipped before starting to return rows.
</para>
<para>
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? The ordering is unknown, unless you specified
ORDER BY.
</para>
<para>
The query optimizer 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 give for LIMIT and
OFFSET. Thus, using different LIMIT/OFFSET values to select
different subsets of a query result <emphasis>will give
inconsistent results</emphasis> 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.
</para>
</sect1>
</chapter>

538
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@ -1,5 +1,5 @@
<!--
$Header: /cvsroot/pgsql/doc/src/sgml/syntax.sgml,v 1.36 2001/01/21 22:02:01 petere Exp $
$Header: /cvsroot/pgsql/doc/src/sgml/syntax.sgml,v 1.37 2001/01/22 23:34:33 petere Exp $
-->
<chapter id="sql-syntax">
@ -743,7 +743,7 @@ CAST ( '<replaceable>string</replaceable>' AS <replaceable>type</replaceable> )
</para>
<para>
In addition to this list, there are a number of contructs that can
In addition to this list, there are a number of constructs that can
be classified as an expression but do not follow any general syntax
rules. These generally have the semantics of a function or
operator and are explained in the appropriate location in <xref
@ -763,15 +763,15 @@ CAST ( '<replaceable>string</replaceable>' AS <replaceable>type</replaceable> )
<para>
A column can be referenced in the form:
<synopsis>
<replaceable>corelation</replaceable>.<replaceable>columnname</replaceable> `['<replaceable>subscript</replaceable>`]'
<replaceable>correlation</replaceable>.<replaceable>columnname</replaceable> `['<replaceable>subscript</replaceable>`]'
</synopsis>
<replaceable>corelation</replaceable> is either the name of a
<replaceable>correlation</replaceable> is either the name of a
table, an alias for a table defined by means of a FROM clause, or
the keyword <literal>NEW</literal> or <literal>OLD</literal>.
(NEW and OLD can only appear in the action portion of a rule,
while other corelation names can be used in any SQL statement.)
The corelation name can be omitted if the column name is unique
while other correlation names can be used in any SQL statement.)
The correlation name can be omitted if the column name is unique
across all the tables being used in the current query. If
<replaceable>column</replaceable> is of an array type, then the
optional <replaceable>subscript</replaceable> selects a specific
@ -895,8 +895,8 @@ sqrt(2)
The precedence and associativity of the operators is hard-wired
into the parser. Most operators have the same precedence and are
left-associative. This may lead to non-intuitive behavior; for
example the boolean operators "&lt;" and "&gt;" have a different
precedence than the boolean operators "&lt;=" and "&gt;=". Also,
example the Boolean operators "&lt;" and "&gt;" have a different
precedence than the Boolean operators "&lt;=" and "&gt;=". Also,
you will sometimes need to add parentheses when using combinations
of binary and unary operators. For instance
<programlisting>
@ -917,7 +917,7 @@ SELECT (5 &amp;) ~ 6;
<tgroup cols="2">
<thead>
<row>
<entry>OperatorElement</entry>
<entry>Operator/Element</entry>
<entry>Associativity</entry>
<entry>Description</entry>
</row>
@ -1057,526 +1057,6 @@ SELECT (5 &amp;) ~ 6;
</para>
</sect1>
<sect1 id="sql-table-expressions">
<title>Table Expressions</title>
<para>
A <firstterm>table expression</firstterm> specifies a table. The
table expression contains a FROM clause that is optionally followed
by WHERE, GROUP BY, and HAVING clauses. Trivial table expressions
simply refer to a table on disk, a so-called base table, but more
complex expressions can be used to modify or combine base tables in
various ways.
</para>
<para>
The general syntax of the <command>SELECT</command> command is
<synopsis>
SELECT <replaceable>select_list</replaceable> <replaceable>table_expression</replaceable>
</synopsis>
The <replaceable>select_list</replaceable> is a comma separated
list of <replaceable>value expressions</replaceable> as defined in
<xref linkend="sql-expressions"> that specify the derived columns
of the query output table. Column names in the derived table that
is the result of the <replaceable>table_expression</replaceable>
can be used in the <replaceable>value expression</replaceable>s of
the <replaceable>select_list</replaceable>.
</para>
<para>
The WHERE, GROUP BY, and HAVING clauses in the table expression
specify a pipeline of successive transformations performed on the
table derived in the FROM clause. The final transformed table that
is derived provides the input rows used to derive output rows as
specified by the select list of derived column value expressions.
</para>
<sect2>
<title>FROM clause</title>
<para>
The FROM clause derives a table from one or more other tables
given in a comma-separated table reference list.
<synopsis>
FROM <replaceable>table_reference</replaceable> <optional>, <replaceable>table_reference</replaceable> <optional>, ...</optional></optional>
</synopsis>
A table reference may be a table name or a derived table such as a
subquery, a table join, or complex combinations of these. If more
than one table reference is listed in the FROM clause they are
CROSS JOINed (see below) to form the derived table that may then
be subject to transformations by the WHERE, GROUP BY, and HAVING
clauses and is finally the result of the overall table expression.
</para>
<para>
If a table reference is a simple table name and it is the
supertable in a table inheritance hierarchy, rows of the table
include rows from all of its subtable successors unless the
keyword ONLY precedes the table name.
</para>
<sect3>
<title>Joined Tables</title>
<para>
A joined table is a table derived from two other (real or
derived) tables according to the rules of the particular join
type. INNER, OUTER, NATURAL, and CROSS JOIN are supported.
</para>
<variablelist>
<title>Join Types</title>
<varlistentry>
<term>CROSS JOIN</term>
<listitem>
<synopsis>
<replaceable>T1</replaceable> CROSS JOIN <replaceable>T2</replaceable>
</synopsis>
<para>
For each combination of rows from
<replaceable>T1</replaceable> and
<replaceable>T2</replaceable> the derived table will contain a
row consisting of all columns in <replaceable>T1</replaceable>
followed by all columns in <replaceable>T2</replaceable>. If
the tables have have N and M rows respectively, the joined
table will have N * M rows. A cross join is essentially an
<literal>INNER JOIN ON TRUE</literal>.
</para>
<tip>
<para>
<literal>FROM <replaceable>T1</replaceable> CROSS JOIN
<replaceable>T2</replaceable></literal> is equivalent to
<literal>FROM <replaceable>T1</replaceable>,
<replaceable>T2</replaceable></literal>.
</para>
</tip>
</listitem>
</varlistentry>
<varlistentry>
<term>Qualified JOINs</term>
<listitem>
<synopsis>
<replaceable>T1</replaceable> { <optional>INNER</optional> | { LEFT | RIGHT | FULL } <optional>OUTER</optional> } JOIN <replaceable>T2</replaceable> ON <replaceable>boolean expression</replaceable>
<replaceable>T1</replaceable> { <optional>INNER</optional> | { LEFT | RIGHT | FULL } <optional>OUTER</optional> } JOIN <replaceable>T2</replaceable> USING ( <replaceable>join column list</replaceable> )
</synopsis>
<para>
The words <token>INNER</token> and <token>OUTER</token> are
optional for all JOINs. <token>INNER</token> is the default;
<token>LEFT</token>, <token>RIGHT</token>, and
<token>FULL</token> are for OUTER JOINs only.
</para>
<para>
The <firstterm>join condition</firstterm> is specified in the
ON or USING clause. (The meaning of the join condition
depends on the particular join type; see below.) The ON
clause takes a boolean value expression of the same kind as is
used in a WHERE clause. The USING clause takes a
comma-separated list of column names, which the joined tables
must have in common, and joins the tables on the equality of
those columns as a set, resulting in a joined table having one
column for each common column listed and all of the other
columns from both tables. Thus, <literal>USING (a, b,
c)</literal> is equivalent to <literal>ON (t1.a = t2.a AND
t1.b = t2.b AND t1.c = t2.c)</literal> with the exception that
if ON is used there will be two columns a, b, and c in the
result, whereas with USING there will be only one of each.
</para>
<variablelist>
<varlistentry>
<term>INNER JOIN</term>
<listitem>
<para>
For each row R1 of T1, the joined table has a row for each
row in T2 that satisfies the join condition with R1.
</para>
</listitem>
</varlistentry>
<varlistentry>
<term>LEFT OUTER JOIN</term>
<listitem>
<para>
First, an INNER JOIN is performed. Then, for a row in T1
that does not satisfy the join condition with any row in
T2, a joined row is returned with NULL values in columns of
T2. Thus, the joined table unconditionally has a row for each
row in T1.
</para>
</listitem>
</varlistentry>
<varlistentry>
<term>RIGHT OUTER JOIN</term>
<listitem>
<para>
This is like a left join, only that the result table will
unconditionally have a row for each row in T2.
</para>
</listitem>
</varlistentry>
<varlistentry>
<term>FULL OUTER JOIN</term>
<listitem>
<para>
First, an INNER JOIN is performed. Then, for each row in
T1 that does not satisfy the join condition with any row in
T2, a joined row is returned with null values in columns of
T2. Also, for each row of T2 that does not satisfy the
join condition with any row in T1, a joined row with null
values in the columns of T1 is returned.
</para>
</listitem>
</varlistentry>
</variablelist>
</listitem>
</varlistentry>
<varlistentry>
<term>NATURAL JOIN</term>
<listitem>
<synopsis>
<replaceable>T1</replaceable> NATURAL { <optional>INNER</optional> | { LEFT | RIGHT | FULL } <optional>OUTER</optional> JOIN <replaceable>T2</replaceable>
</synopsis>
<para>
A natural join creates a joined table where every pair of matching
column names between the two tables are merged into one column. The
join specification is effectively a USING clause containing all the
common column names and is otherwise like a Qualified JOIN.
</para>
</listitem>
</varlistentry>
</variablelist>
<para>
Joins of all types can be chained together or nested where either
or both of <replaceable>T1</replaceable> and
<replaceable>T2</replaceable> may be JOINed tables. Parenthesis
can be used around JOIN clauses to control the join order which
are otherwise left to right.
</para>
</sect3>
<sect3 id="sql-subqueries">
<title>Subqueries</title>
<para>
Subqueries specifying a derived table must be enclosed in
parenthesis and <emphasis>must</emphasis> be named using an AS
clause. (See <xref linkend="sql-table-aliases">.)
</para>
<programlisting>
FROM (SELECT * FROM table1) AS alias_name
</programlisting>
<para>
This example is equivalent to <literal>FROM table1 AS
alias_name</literal>. Many subquieries can be written as table
joins instead.
</para>
</sect3>
<sect3 id="sql-table-aliases">
<title>Table and Column Aliases</title>
<para>
A temporary name can be given to tables and complex table
references to be used for references to the derived table in
further processing. This is called a <firstterm>table
alias</firstterm>.
<synopsis>
FROM <replaceable>table_reference</replaceable> AS <replaceable>alias</replaceable>
</synopsis>
Here, <replaceable>alias</replaceable> can be any regular
identifier. The alias becomes the new name of the table
reference for the current query -- it is no longer possible to
refer to the table by the original name (if the table reference
was an ordinary base table). Thus
<programlisting>
SELECT * FROM my_table AS m WHERE my_table.a > 5;
</programlisting>
is not valid SQL syntax. What will happen instead, as a
<productname>Postgres</productname> extension, is that an implict
table reference is added to the FROM clause, so the query is
processed as if it was written as
<programlisting>
SELECT * FROM my_table AS m, my_table WHERE my_table.a > 5;
</programlisting>
Table aliases are mainly for notational convenience, but it is
necessary to use them when joining a table to itself, e.g.,
<programlisting>
SELECT * FROM my_table AS a CROSS JOIN my_table AS b ...
</programlisting>
Additionally, an alias is required if the table reference is a
subquery.
</para>
<para>
Parenthesis are used to resolve ambiguities. The following
statement will assign the alias <literal>b</literal> to the
result of the join, unlike the previous example:
<programlisting>
SELECT * FROM (my_table AS a CROSS JOIN my_table) AS b ...
</programlisting>
</para>
<para>
<synopsis>
FROM <replaceable>table_reference</replaceable> <replaceable>alias</replaceable>
</synopsis>
This form is equivalent the previously treated one; the
<token>AS</token> key word is noise.
</para>
<para>
<synopsis>
FROM <replaceable>table_reference</replaceable> <optional>AS</optional> <replaceable>alias</replaceable> ( <replaceable>column1</replaceable> <optional>, <replaceable>column2</replaceable> <optional>, ...</optional></optional> )
</synopsis>
In addition to renaming the table as described above, the columns
of the table are also given temporary names. If less column
aliases are specified than the actual table has columns, the last
columns are not renamed. This syntax is especially useful for
self-joins or subqueries.
</para>
</sect3>
<sect3>
<title>Examples</title>
<para>
<programlisting>
FROM T1 INNER JOIN T2 USING (C)
FROM T1 LEFT OUTER JOIN T2 USING (C)
FROM (T1 RIGHT OUTER JOIN T2 ON (T1C1=T2C1)) AS DT1
FROM (T1 FULL OUTER JOIN T2 USING (C)) AS DT1 (DT1C1, DT1C2)
FROM T1 NATURAL INNER JOIN T2
FROM T1 NATURAL LEFT OUTER JOIN T2
FROM T1 NATURAL RIGHT OUTER JOIN T2
FROM T1 NATURAL FULL OUTER JOIN T2
FROM (SELECT * FROM T1) DT1 CROSS JOIN T2, T3
FROM (SELECT * FROM T1) DT1, T2, T3
</programlisting>
Above are some examples of joined tables and complex derived
tables. Notice how the AS clause renames or names a derived
table and how the optional comma-separated list of column names
that follows gives names or renames the columns. The last two
FROM clauses produce the same derived table from T1, T2, and T3.
The AS keyword was omitted in naming the subquery as DT1. The
keywords OUTER and INNER are noise that can be omitted also.
</para>
</sect3>
</sect2>
<sect2>
<title>WHERE clause</title>
<para>
The syntax of the WHERE clause is
<synopsis>
WHERE <replaceable>search condition</replaceable>
</synopsis>
where <replaceable>search condition</replaceable> is any value
expression as defined in <xref linkend="sql-expressions"> that
returns a value of type <type>boolean</type>.
</para>
<para>
After the processing of the FROM clause is done, each row of the
derived table is checked against the search condition. If the
result of the condition is true, the row is kept in the output
table, otherwise (that is, if the result is false or NULL) it is
discared. The search condition typically references at least some
column in the table generated in the FROM clause; this is not
required, but otherwise the WHERE clause will be fairly useless.
</para>
<note>
<para>
Before the implementation of the JOIN syntax, it was necessary to
put the join condition of an inner join in the WHERE clause. For
example, these table expressions are equivalent:
<programlisting>
FROM a, b WHERE a.id = b.id AND b.val &gt; 5
</programlisting>
and
<programlisting>
FROM a INNER JOIN b ON (a.id = b.id) WHERE b.val &gt; 5
</programlisting>
or perhaps even
<programlisting>
FROM a NATURAL JOIN b WHERE b.val &gt; 5
</programlisting>
Which one of these you use is mainly a matter of style. The JOIN
syntax in the FROM clause is probably not as portable to other
products. For outer joins there is no choice in any case: they
must be done in the FROM clause.
</para>
</note>
<programlisting>
FROM FDT WHERE
C1 > 5
FROM FDT WHERE
C1 IN (1, 2, 3)
FROM FDT WHERE
C1 IN (SELECT C1 FROM T2)
FROM FDT WHERE
C1 IN (SELECT C3 FROM T2 WHERE C2 = FDT.C1 + 10)
FROM FDT WHERE
C1 BETWEEN (SELECT C3 FROM T2 WHERE C2 = FDT.C1 + 10) AND 100
FROM FDT WHERE
EXISTS (SELECT C1 FROM T2 WHERE C2 > FDT.C1)
</programlisting>
<para>
In the examples above, FDT is the table derived in the FROM
clause. Rows that do not meet the search condition of the where
clause are eliminated from FDT. Notice the use of scalar
subqueries as value expressions (C2 assumed UNIQUE). Just like
any other query, the subqueries can employ complex table
expressions. Notice how FDT is referenced in the subqueries.
Qualifying C1 as FDT.C1 is only necessary if C1 is the name of a
column in the derived input table of the subquery. Qualifying the
column name adds clarity even when it is not needed. The column
naming scope of an outer query extends into its inner queries.
</para>
</sect2>
<!-- This is confusing as heck. Make it simpler. -->
<![IGNORE[
<sect2>
<title>GROUP BY and HAVING clauses</title>
<para>
After passing the WHERE filter, the derived input table may be
subject to grouping, using the GROUP BY clause, and elimination of
group rows using the HAVING clause. (The HAVING clause can also
be used without GROUP BY, but then it is equivalent to the WHERE
clause.)
</para>
<para>
In standard SQL, the GROUP BY clause takes a list of column names,
that specify a subrow, from the derived input table produced by
the previous WHERE or FROM clause and partitions the table into
groups with duplicate subrows such that within a column of the
subrow, no column value is distinct from other column values. The
resulting derived input table is a special type of table, called a
grouped table, which still contains all columns but only
references to columns of the grouped subrow, and group aggregates,
derived from any of the columns, may appear in derived column
value expressions in the query select list. When deriving an
output table from a query using a grouped input table, each output
row is derived from a corresponding group/partition of the grouped
table. Aggregates computed in a derived output column are
aggregates on the current partition/group of the grouped input
table being processed. Only one output table row results per
group/partition of the grouped input table.
</para>
<para>
Postgres has extended the GROUP BY clause to allow some
non-standard, but useful behavior. Derived output columns, given
names using an AS clause in the query select list, may appear in
the GROUP BY clause in combination with, or instead of, the input
table column names. Tables may also be grouped by arbitrary
expressions. If output table column names appear in the GROUP BY
list, then the input table is augmented with additional columns of
the output table columns listed in the GROUP BY clause. The value
for each row in the additional columns is computed from the value
expression that defines the output column in the query select
list. The augmented input table is grouped by the column names
listed in the GROUP BY clause. The resulting grouped augmented
input table is then treated according standard SQL GROUP BY
semantics. Only the columns of the unaugmented input table in the
grouped subrow (if any), and group aggregates, derived from any of
the columns of the unaugmented input table, may be referenced in
the value expressions of the derived output columns of the
query. Output columns derived with an aggregate expression cannot
be named in the GROUP BY clause.
</para>
<para>
A HAVING clause may optionally follow a GROUP BY clause. The
HAVING clause selects or eliminates, depending on which
perspective is taken, groups from the grouped table derived in the
GROUP BY clause that precedes it. The search condition is the
same type of expression allowed in a WHERE clause and may
reference any of the input table column names in the grouped
subrow, but may not reference any others or any named output
columns. When the search condition results in TRUE the group is
retained, otherwise the group is eliminated.
</para>
</sect2>
<sect2>
<title>ORDER BY and LIMIT clauses</title>
<para>
ORDER BY and LIMIT clauses are not clauses of a table expression.
They are optional clauses that may follow a query expression and
are discussed here because they are commonly used with the
clauses above.
</para>
<para>
ORDER BY takes a comma-separated list of columns and performs a
cascaded ordering of the table by the columns listed, in the
order listed. The keyword DESC or ASC may follow any column name
or expression in the list to specify descending or ascending
ordering, respectively. Ascending order is the default. The
ORDER BY clause conforms to the SQL standard but is extended in
Postgres. Postgres allows ORDER BY to reference both output
table columns, as named in the select list using the AS clause,
and input table columns, as given by the table derived in the
FROM clause and other previous clauses. Postgres also extends
ORDER BY to allow ordering by arbitrary expressions. If used in a
query with a GROUP BY clause, the ORDER BY clause can only
reference output table column names and grouped input table
columns.
</para>
<para>
LIMIT is not a standard SQL clause. LIMIT is a Postgres
extension that limits the number of rows that will be returned
from a query. The rows returned by a query using the LIMIT
clause are random if no ORDER BY clause is specified. A LIMIT
clause may optionally be followed by an OFFSET clause which
specifies a number of rows to be skipped in the output table
before returning the number of rows specified in the LIMIT
clause.
</para>
</sect2>
]]>
</sect1>
</chapter>
<!-- Keep this comment at the end of the file

3
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<!--
$Header: /cvsroot/pgsql/doc/src/sgml/Attic/user.sgml,v 1.24 2001/01/13 23:58:55 petere Exp $
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<book id="user">
@ -44,6 +44,7 @@ $Header: /cvsroot/pgsql/doc/src/sgml/Attic/user.sgml,v 1.24 2001/01/13 23:58:55
&intro;
&syntax;
&queries;
&datatype;
&func;
&typeconv;