Detailed analysis of MYSQL multi-table joint query efficiency and optimization _mysql

1. Multi-table connection type
1. Cartesian product (cross connection) in MySQL can be cross join or omit cross that join, or use ', ' such as:

SELECT * FROM table1 CROSS join table2  
SELECT * to table1 join table2  
SELECT * from Table1,table2 

Because the result it returns is the product of the two data tables that are connected, it is generally not recommended when there is a where, on, or using conditions, because it is very slow when there are too many datasheet items. generally use left [OUTER] Join or right [OUTER] Join

2. The INNER join INNER join inner join in MySQL is called equivalent connection, that is, you need to specify the equivalent join condition in MySQL cross and inner join are divided together. join_table:table_reference [INNER | CROSS] JOIN table_factor [join_condition]

3. The external connection in MySQL is divided into left outer and right connections, that is, in addition to returning the results of the join conditions, return to the left table (left) or the right table (right connection) does not conform to the conditions of the connection, the corresponding use of NULL correspondence.

Example:

User table:

ID | Name
———
1 | Libk
2 | Zyfon
3 | Daodao

User_action table:

user_id | Action
—————
1 | Jump
1 | Kick
1 | Jump
2 | Run
4 | Swim

Sql:

Select ID, name, action from user as U left 
join user_action A on u.id = a.user_id 

Result
ID | name | Action
——————————–
1 | LIBK | Jump①
1 | LIBK | Kick②
1 | LIBK | Jump③
2 | Zyfon | Run④
3 | Daodao | Null⑤

Analysis:
Note that there is also a user_id=4, Action=swim record in the user_action, but not in the results,
Id=3 in the user table, Name=daodao users do not have a corresponding record in user_action, but they appear in the result set
Because now is the left join, all work is left.
Results 1,2,3,4 are both in the left table and on the right table record, 5 is only on the left table, not on the right table record

Working principle:

Read one from the left table and select all the right table records (n bars) to match on. Forms N Records (including duplicate rows, such as: result 1 and result 3), and if the right side does not have a table matching the on condition, the connected field is null. Then continue reading the next one.

Extended:
We can use the right table without on match to show the law of NULL, to find all the records in the left table, not the right table, note that the column to be judged must be declared not NULL.
Such as:
Sql:

Select ID, name, action from user as U left 
join user_action A on u.id = a.user_id 
where a.user_id is NULL 

Attention:

1. A column value of NULL should be null and cannot be used with =null
2. Here the a.user_id column must be declared to not NULL.

Result of SQL above:
ID | name | Action
————————–
3 | Daodao | Null

——————————————————————————–

General usage:

A. Left [OUTER] JOIN:

In addition to returning results that match the join condition, you need to display data columns in the left table that do not meet the join criteria, and should use a null corresponding

Copy Code code as follows:

SELECT column_name from table1 left [OUTER] JOIN table2 on Table1.column=table2.column
B. Right [OUTER] JOIN:

Right is different from the left join simply by displaying data columns that do not conform to the join condition in the right-hand table in addition to the results that match the join condition, using the null corresponding

Copy Code code as follows:

SELECT column_name from table1 right [OUTER] JOIN table2 on Table1.column=table2.column

Tips:

1. On a.c1 = B.C1 equivalent to using (C1)
2. INNER JOIN and, (comma) are semantically equivalent
3. When MySQL retrieves information from a table, you can indicate which index it chooses.
This feature is useful if EXPLAIN shows that MySQL uses the wrong index in the list of possible indexes.
By specifying use index (key_list), you can tell MySQL to find a record row in a table using the most appropriate index in a possible index.
An optional two-choice syntax IGNORE index (key_list) can be used to tell MySQL not to use a specific index. Such as:

Mysql> SELECT * FROM table1 use INDEX (key1,key2) 
-> WHERE key1=1 and key2=2 and key3=3; 
Mysql> SELECT * FROM table1 IGNORE INDEX (Key3) 

2. Constraints on table joins
Add display criteria where, ON, USING

1. WHERE clause

Mysql>

Copy Code code as follows:

SELECT * from Table1,table2 WHERE table1.id=table2.id;

2. On

Mysql>

Copy Code code as follows:

SELECT * FROM table1 left JOIN table2 on table1.id=table2.id;

SELECT * FROM table1 left JOIN table2 on table1.id=table2.id
Left JOIN table3 on table2.id=table3.id;

3. Using clause, if the two columns of a connected two table join condition have the same name, you can use the using

For example:

SELECT from left JOIN USING ()

Example of a connection with more than two tables:

Mysql>

SELECT artists. Artist, Cds.title, genres.genre from  
 
CDs left  
 
JOIN genres N Cds.genreid = Genres.genreid  
 

or mysql>.

SELECT artists. Artist, Cds.title, genres.genre from  
 
CDs left  
 
join genres in Cds.genreid = Genres.genreid left  
 
 join artists-& Gt On cds.artistid = Artists.artistid 
 
 

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also need to pay attention to the place in MySQL involved in multiple table query, need to query according to the situation, want to use which connection way more efficient.

1. Cross-linking (cartesian product) or inner join [INNER | CROSS] JOIN

2. Left outer join or right [OUTER] Join note Specifies the join condition where, on,using, the OUTER.

3. How MySQL optimizes left join and right join
In MySQL, A left JOIN B join_condition is executed as follows:

1) · Set Table B based on all tables that are dependent on tables A and a.

2) · Set Table A for all tables (except B) that are used in the left join condition.

3) · The LEFT join condition is used to determine how to search for rows from table B. (In other words, do not use any of the conditions in the WHERE clause).

4) · All standard joins can be optimized, except for tables that are read from all tables on which it relies. If there is a circular dependency, MySQL prompts for an error.

5) · Perform all standard where optimizations.

6) · If a row in a matches a WHERE clause, but no row in B matches the on condition, then another B row is generated, where all the columns are set to NULL.

7) · If you use a LEFT join to find a row that does not exist in some tables, and the following test: the where part of the col_name is NULL, where the col_name is a column declared not NULL, MySQL finds a match Stop after one line of the join condition (for a specific keyword combination) to search for additional rows.

The execution of the right join is similar to a left join, but the role of the table is reversed.

Joins the optimizer in the order in which the tables should be joined. Left JOIN and Straight_join forced table read Order can help the Join optimizer work faster because fewer table exchanges are checked. Note that this means that if you perform the following type of query, MySQL performs a full scan of B because the left join forces it to read before D:

 SELECT * from 
 A,b left join C on (C.key=a.key) left join D on (d.key=a.key) 
 WHERE B.key=d.key; 

In this case fix is in the reverse order of a, and B is listed in the FROM clause:

SELECT * from 
B,a left join C on (C.key=a.key) left join D on (d.key=a.key) 
WHERE B.key=d.key; 

MySQL can perform the following left join optimization: If for the resulting null row, the Where condition is always false, and the left join becomes a normal join.

For example, in the following query, if T2.COLUMN1 is the Null,where clause, it will be false:

Copy Code code as follows:

SELECT * from T1 left JOIN T2 on (column1) WHERE t2.column2=5;

Therefore, you can safely convert a query to a normal join:

Copy Code code as follows:

SELECT * from T1, T2 where t2.column2=5 and t1.column1=t2.column1;

This can be faster because MySQL can use table t2 before table T1 If you can make the query better. To enforce the use of table order, use Straight_join.

The above is the entire content of this article, I hope to help you learn.