FirstMatch Strategy

FirstMatch is a semi-join execution strategy that avoids duplicate results by short-cutting subquery execution as soon as the first matching record is found, improving performance.

FirstMatch is an execution strategy for Semi-join subqueries.

The Idea

It is similar to how IN/EXISTS subqueries were executed in MySQL 5.x.

Let's take the usual example of a search for countries with big cities:

SELECT * FROM Country 
WHERE Country.code IN (SELECT City.Country 
                       FROM City 
                       WHERE City.Population > 1*1000*1000)
      AND Country.continent='Europe'

Suppose our execution plan is to find countries in Europe, and then, for each found country, check if it has any big cities. Regular inner join execution will look as follows:

firstmatch-inner-join

Since Germany has two big cities (in this diagram), it will be put into the query output twice. This is not correct, SELECT ... FROM Country should not produce the same country record twice. The FirstMatch strategy avoids the production of duplicates by short-cutting execution as soon as the first genuine match is found:

firstmatch-firstmatch

Note that the short-cutting has to take place after Using where has been applied. It would have been wrong to short-cut after we found Trier.

FirstMatch in Action

The EXPLAIN for the above query looks as follows:

MariaDB [world]> EXPLAIN SELECT * FROM Country WHERE Country.code IN 
  (select City.Country from City where City.Population > 1*1000*1000)
    AND Country.continent='Europe';
+----+-------------+---------+------+--------------------+-----------+---------+--------------------+------+----------------------------------+
| id | select_type | table   | type | possible_keys      | key       | key_len | ref                | rows | Extra                            |
+----+-------------+---------+------+--------------------+-----------+---------+--------------------+------+----------------------------------+
|  1 | PRIMARY     | Country | ref  | PRIMARY,continent  | continent | 17      | const              |   60 | Using index condition            |
|  1 | PRIMARY     | City    | ref  | Population,Country | Country   | 3       | world.Country.Code |   18 | Using where; FirstMatch(Country) |
+----+-------------+---------+------+--------------------+-----------+---------+--------------------+------+----------------------------------+
2 rows in set (0.00 sec)

FirstMatch(Country) in the Extra column means that as soon as we have produced one matching record combination, short-cut the execution and jump back to the Country table.

The FirstMatch query plan is similar to one you would get in MySQL:

MySQL [world]> EXPLAIN SELECT * FROM Country  WHERE Country.code IN 
  (select City.Country from City where City.Population > 1*1000*1000) 
   AND Country.continent='Europe';
+----+--------------------+---------+----------------+--------------------+-----------+---------+-------+------+------------------------------------+
| id | select_type        | table   | type           | possible_keys      | key       | key_len | ref   | rows | Extra                              |
+----+--------------------+---------+----------------+--------------------+-----------+---------+-------+------+------------------------------------+
|  1 | PRIMARY            | Country | ref            | continent          | continent | 17      | const |   60 | Using index condition; Using where |
|  2 | DEPENDENT SUBQUERY | City    | index_subquery | Population,Country | Country   | 3       | func  |   18 | Using where                        |
+----+--------------------+---------+----------------+--------------------+-----------+---------+-------+------+------------------------------------+
2 rows in set (0.01 sec)

These two particular query plans will execute in the same time.

Difference between FirstMatch and IN->EXISTS

The general idea behind the FirstMatch strategy is the same as the one behind the IN->EXISTS transformation, however, FirstMatch has several advantages:

• Equality propagation works across semi-join bounds, but not subquery bounds. Therefore, converting a subquery to semi-join and using FirstMatch can still give a better execution plan.

• There is only one way to apply the IN->EXISTS strategy and MySQL will do it unconditionally. With FirstMatch, the optimizer can make a choice between whether it should run the FirstMatch strategy as soon as all tables used in the subquery are in the join prefix, or at some later point in time.

FirstMatch Factsheet

• The FirstMatch strategy works by executing the subquery and short-cutting its execution as soon as the first match is found.

• This means, subquery tables must be after all of the parent select's tables that are referred from the subquery predicate.

• EXPLAIN shows FirstMatch as "FirstMatch(tableN)".

• The strategy can handle correlated subqueries.

• But it cannot be applied if the subquery has meaningful GROUP BY and/or aggregate functions.

• Use of the FirstMatch strategy is controlled with the firstmatch=on|off flag in the optimizer_switch variable.

See Also

• Semi-join subquery optimizations

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