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The following brings you about the method of merging the query results of multiple select statements in MySQL. I believe you must have seen similar articles. What's the difference between what we bring to everyone? Let's take a look at the body. I'm sure you'll get something after reading the method of merging the query results of multiple select statements in MySQL.

1. Background

* the full merge query result is to merge the query results of multiple select statements together.

* the result set that participates in the merge requires field unification.

The * field can be replaced with an empty string''.

two。 Practice of merging query results [users1 and users2]

* View users1 table and users2 table structure

Mysql > desc users1 +-+ | Field | Type | Null | Key | Default | Extra | + -+ | id | bigint (20) | NO | PRI | NULL | auto_increment | | name | varchar (64) | NO | | NULL | | sex | enum ('M') 'F') | NO | | NULL | age | int (11) | NO | | NULL | | +-+-+ 4 rows in set (0.00 sec) mysql > desc users2 +-+ | Field | Type | Null | Key | Default | Extra | + -+ | id | bigint (20) | NO | PRI | NULL | auto_increment | | name | varchar (64) | NO | | NULL | | sex | enum ('M') 'F') | NO | | NULL | age | int (11) | NO | | NULL | | +-+-+ 4 rows in set (0.01 sec)

* View users1 and users2 data

Users1 and users2 tables have the same field tom

Mysql > select * from users1;+----+ | id | name | sex | age | +-- + | 1 | tom | M | 25 | 2 | jak | F | 42 | +-+ 2 rows in set (0.00 sec) mysql > select * from users2 +-+ | id | name | sex | age | +-+ | 1 | tom | M | 25 | | 2 | lisea | M | 42 | +-+ 2 rows in set (0.00 sec)

* union merge and de-duplicate

Mysql > (select * from users1) union (select * from users2) +-+ | id | name | sex | age | +-+ | 1 | tom | M | 25 | 2 | jak | F | 42 | 2 | lisea | M | 42 | +-+ 3 rows in set (0.00 sec)

* union all is only not heavy.

Mysql > (select * from users1) union all (select * from users2) +-+ | id | name | sex | age | +-+ | 1 | tom | M | 25 | 2 | jak | F | 42 | 1 | tom | M | 25 | 2 | lisea | M | 42 | +-+ 4 rows in set (0.01sec)

* View union performance analysis

[temporary tables are used]

Mysql > explain (select * from users1) union (select * from users2) +- -+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | Extra | +-+ -- +-+ | 1 | PRIMARY | users1 | NULL | ALL | NULL | 2 | 100.00 | NULL | | 2 | UNION | users2 | NULL | ALL | NULL | | NULL | 2 | 100.00 | NULL | | NULL | UNION RESULT | | NULL | ALL | NULL | Using temporary | + -+ 3 rows in set 1 warning (0.01 sec)

* View union all performance analysis

[temporary table not used]

Mysql > explain (select * from users1) union all (select * from users2) +-+ | id | select_type | | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra | +- -+-+ | 1 | PRIMARY | users1 | NULL | ALL | NULL | 2 | 100.00 | NULL | 2 | UNION | users2 | NULL | ALL | NULL | 2 | 100.00 | NULL | +-+-- -+ 2 rows in set 1 warning (0.01 sec)

3. Summary of union and union all

* union has one more step to remove repetition than union all, which creates temporary tables and degrades performance.

* when the data of both result sets are relatively unique, it is recommended to use union all.

4. Summary

In order to demand-driven technology, there is no difference in technology itself, only in business.

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