MySQL: how to index an “OR” clause

时光怂恿深爱的人放手 提交于 2019-11-27 14:20:45

The typical way to break up OR predicates is with UNION.

Note that your example doesn't fit well with your indexes. Even if you omitted field1 from the predicate, you'd have field2 >= 1000 OR field3 >= 2000, which can't use an index. If you had indexes on (field1, field2) and (field1,field3) or field2 or field3 separately, you would get a reasonably fast query.

SELECT COUNT(*) FROM
(SELECT * FROM table WHERE field1 = 'value' AND field2 >= 1000
UNION
SELECT * FROM table WHERE field1 = 'value' AND field3 >= 2000) T

Note that you have to provide an alias for the derived table, which is why the subquery is aliased as T.

A real-world example. Column and table names have been anonymized!

mysql> SELECT COUNT(*) FROM table;
+----------+
| COUNT(*) |
+----------+
|  3059139 |
+----------+
1 row in set (0.00 sec)

mysql> SELECT COUNT(*) FROM table WHERE columnA = value1;
+----------+
| COUNT(*) |
+----------+
|     1068 |
+----------+
1 row in set (0.00 sec)

mysql> SELECT COUNT(*) FROM table WHERE columnB = value2;
+----------+
| COUNT(*) |
+----------+
|      947 |
+----------+
1 row in set (0.00 sec)

mysql> SELECT COUNT(*) FROM table WHERE columnA = value1 OR columnB = value2;
+----------+
| COUNT(*) |
+----------+
|     1616 |
+----------+
1 row in set (9.92 sec)

mysql> SELECT COUNT(*) FROM (SELECT * FROM table WHERE columnA = value1
UNION SELECT * FROM table WHERE columnB = value2) T;
+----------+
| COUNT(*) |
+----------+
|     1616 |
+----------+
1 row in set (0.17 sec)

mysql> SELECT COUNT(*) FROM (SELECT * FROM table WHERE columnA = value1
UNION ALL SELECT * FROM table WHERE columnB = value2) T;
+----------+
| COUNT(*) |
+----------+
|     2015 |
+----------+
1 row in set (0.12 sec)

I'm new here, so I can't comment on other people's posts, but this is related to the posts by David M. and soulmerge.

The temporary table is not necessary. The UNION David M. suggested does not double count, as UNION implies a distinct (i.e. if a row exists in one half of the union, ignore it in the other). If you used UNION ALL, you would get two records.

The default behavior for UNION is that duplicate rows are removed from the result. The optional DISTINCT keyword has no effect other than the default because it also specifies duplicate-row removal. With the optional ALL keyword, duplicate-row removal does not occur and the result includes all matching rows from all the SELECT statements.

http://dev.mysql.com/doc/refman/5.0/en/union.html

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