BY</literal> clause. When <literal>ORDER BY</literal> is omitted the
default frame consists of all rows in the partition.
<footnote>
<para>
There are options to define the window frame in other ways, but
this tutorial does not cover them. See
<xref linkend="syntax-window-functions"/> for details.
</para>
</footnote>
Here is an example using <function>sum</function>:
</para>
<programlisting>
SELECT salary, sum(salary) OVER () FROM empsalary;
</programlisting>
<screen>
salary | sum
--------+-------
5200 | 47100
5000 | 47100
3500 | 47100
4800 | 47100
3900 | 47100
4200 | 47100
4500 | 47100
4800 | 47100
6000 | 47100
5200 | 47100
(10 rows)
</screen>
<para>
Above, since there is no <literal>ORDER BY</literal> in the <literal>OVER</literal>
clause, the window frame is the same as the partition, which for lack of
<literal>PARTITION BY</literal> is the whole table; in other words each sum is
taken over the whole table and so we get the same result for each output
row. But if we add an <literal>ORDER BY</literal> clause, we get very different
results:
</para>
<programlisting>
SELECT salary, sum(salary) OVER (ORDER BY salary) FROM empsalary;
</programlisting>
<screen>
salary | sum
--------+-------
3500 | 3500
3900 | 7400
4200 | 11600
4500 | 16100
4800 | 25700
4800 | 25700
5000 | 30700
5200 | 41100
5200 | 41100
6000 | 47100
(10 rows)
</screen>
<para>
Here the sum is taken from the first (lowest) salary up through the
current one, including any duplicates of the current one (notice the
results for the duplicated salaries).
</para>
<para>
Window functions are permitted only in the <literal>SELECT</literal> list
and the <literal>ORDER BY</literal> clause of the query. They are forbidden
elsewhere, such as in <literal>GROUP BY</literal>, <literal>HAVING</literal>
and <literal>WHERE</literal> clauses. This is because they logically
execute after the processing of those clauses. Also, window functions
execute after non-window aggregate functions. This means it is valid to
include an aggregate function call in the arguments of a window function,
but not vice versa.
</para>
<para>
If there is a need to filter or group rows after the window calculations
are performed, you can use a sub-select. For example:
<programlisting>
SELECT depname, empno, salary, enroll_date
FROM
(SELECT depname, empno, salary, enroll_date,
row_number() OVER (PARTITION BY depname ORDER BY salary DESC, empno) AS pos
FROM empsalary
) AS ss
WHERE pos < 3;
</programlisting>
The above query only shows the rows from the inner query having
<literal>row_number</literal> less than 3 (that is, the first
two rows for each department).
</para>
<para>
When a query involves multiple window functions, it is possible to write
out each one with a separate <literal>OVER</literal> clause, but this is
duplicative and error-prone if the same windowing behavior is wanted
for several functions. Instead, each windowing behavior can be named
in a <literal>WINDOW</literal> clause and then referenced in <literal>OVER</literal>.
For example:
<programlisting>
SELECT sum(salary) OVER w, avg(salary) OVER w
FROM empsalary
WINDOW w AS (PARTITION BY depname ORDER BY salary DESC);
</programlisting>
</para>
<para>
More details about window functions can be found in
<xref linkend="syntax-window-functions"/>,
<xref linkend="functions-window"/>,
<xref linkend="queries-window"/>, and the
<xref linkend="sql-select"/> reference page.
</para>
</sect1>
<sect1 id="tutorial-inheritance">
<title>Inheritance</title>
<indexterm zone="tutorial-inheritance">
<primary>inheritance</primary>
</indexterm>
<para>
Inheritance is a concept from object-oriented databases. It opens