Introduction to MySQL Query Connection
In database management, query connection is a very important part. Join refers to the process of joining two or more tables based on the relationship between them to complete data query. In MySQL, we can implement query connections by using the JOIN statement. This article will provide an in-depth introduction to the use of MySQL query connections.
Classification of MySQL query connections
MySQL query connections are mainly divided into three categories: inner joins, outer joins and cross joins.
Inner join means that there is a corresponding relationship between records in two or more tables. This relationship can be represented by primary keys and foreign keys. . Inner joins return results by retaining the same records. That is, query results will be returned only if matching records exist in both tables.
The syntax of inner join is as follows:
SELECT col1, col2, ...
FROM table1
INNER JOIN table2
ON table1.column1 = table2.column2;
Among them, col1, col2, ... are the columns to be returned; table1 and table2 are the tables to be queried, and column1 and column2 are the columns that connect the tables.
Outer joins are divided into left joins and right joins. This join refers to when connecting two or more tables, including All records are retrieved, even if one table has no matching records from the other table.
Left join: Left join means that the left table fetches all records, while the right table fetches only matching records. If there are no matching records between the left table and the right table, the right table will return a NULL value.
The syntax of left join is as follows:
SELECT col1, col2, ...
FROM table1
LEFT JOIN table2
ON table1.column1 = table2.column2;
Right join: Right join is similar to left join, except that the roles of the left table and the right table are reversed.
The syntax of right join is as follows:
SELECT col1, col2, ...
FROM table1
RIGHT JOIN table2
ON table1.column1 = table2.column2;
Note: In MySQL, there is also a FULL OUTER JOIN (full outer join), but MySQL does not support it. Therefore, we can simulate a full outer join through the UNION statement.
Cross join refers to a join without any join conditions between two or more tables. Simply put, cross joins allow you to query all possible combinations.
The syntax of cross join is as follows:
SELECT col1, col2, ...
FROM table1
CROSS JOIN table2;
Among them, col1, col2, ... is the column to be returned; table1 and table2 are the tables to be queried.
Application examples of MySQL query connection
Now let us understand the use of MySQL query connection through some practical examples.
Example 1: Inner join
Suppose we have two tables student and course. Their columns and contents are as follows:
student table:
id | name | age |
---|---|---|
Jack | 18 | |
Tom | 19 | |
Jerry | 20 | |
Bob | 18 |
course_name | student_id | |
---|---|---|
Math | 1 | |
English | 2 | |
Science | 2 | |
History | 3 |
FROM student
INNER JOIN course
ON student.id = course.student_id;
course_name | |
---|---|
Math | |
English | |
Science | |
History |
FROM student
LEFT JOIN course
ON student.id = course.student_id;
course_name | |
---|---|
Math | |
#English | |
Science | |
History | |
NULL |
FROM student
RIGHT JOIN course
ON student.id = course.student_id;
course_name | |
---|---|
Math | |
#English | |
Science | |
History | |
Geography |
id | name |
---|---|
A | |
B | |
C |
FROM table1 t1
CROSS JOIN table1 t2;
name | |
---|---|
A | |
B | |
C | |
A | |
#B | |
C | |
A | ##C |
##C | |
Conclusion |
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