which gives us one output row per city. Each aggregate result is
computed over the table rows matching that city.
We can filter these grouped
- rows using <literal>HAVING</literal>:
+ rows using <literal>HAVING</literal> and the output count using
+ <literal>FILTER</literal>:
<programlisting>
-SELECT city, max(temp_lo)
+SELECT city, max(temp_lo), count(*) FILTER (WHERE temp_lo < 30)
FROM weather
GROUP BY city
HAVING max(temp_lo) < 40;
</programlisting>
<screen>
- city | max
----------+-----
- Hayward | 37
+ city | max | count
+---------+-----+-------
+ Hayward | 37 | 5
(1 row)
</screen>
names begin with <quote><literal>S</literal></quote>, we might do:
<programlisting>
-SELECT city, max(temp_lo)
+SELECT city, max(temp_lo), count(*) FILTER (WHERE temp_lo < 30)
FROM weather
WHERE city LIKE 'S%' -- <co id="co.tutorial-agg-like">
GROUP BY city