diff options
| -rw-r--r-- | doc/src/sgml/query.sgml | 13 |
1 files changed, 7 insertions, 6 deletions
diff --git a/doc/src/sgml/query.sgml b/doc/src/sgml/query.sgml index 6f31a5a1d62..8243bf51af8 100644 --- a/doc/src/sgml/query.sgml +++ b/doc/src/sgml/query.sgml @@ -726,19 +726,20 @@ SELECT city, max(temp_lo) 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> @@ -748,7 +749,7 @@ SELECT city, max(temp_lo) 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 |