The join statement is the core in database operations, which allows us to combine data from multiple tables based on specific conditions. It is crucial to understand the different types of joins, with inner joins and outer joins being two key categories.
Inner join only returns records that meet the join conditions. It is similar to the intersection of two sets, producing only elements that are present in both sets. An outer join, on the other hand, will return all records from one or both tables, even if they have no corresponding records in the other table. This is similar to the union of two sets, including common and unique elements in each set.
There are three main types of outer joins:
Consider the following form:
表 A | 表 B |
---|---|
1 | 3 |
2 | 4 |
3 | 5 |
4 | 6 |
Inner connection:
<code class="language-sql">SELECT * FROM A INNER JOIN B ON A.a = B.b;</code>
Output:
a | b |
---|---|
3 | 3 |
4 | 4 |
Left outer join:
<code class="language-sql">SELECT * FROM A LEFT JOIN B ON A.a = B.b;</code>
Output:
a | b |
---|---|
1 | NULL |
2 | NULL |
3 | 3 |
4 | 4 |
Right outer join:
<code class="language-sql">SELECT * FROM A RIGHT JOIN B ON A.a = B.b;</code>
Output:
a | b |
---|---|
3 | 3 |
4 | 4 |
NULL | 5 |
NULL | 6 |
Full outer join:
<code class="language-sql">SELECT * FROM A FULL OUTER JOIN B ON A.a = B.b;</code>
Output:
a | b |
---|---|
1 | NULL |
2 | NULL |
3 | 3 |
4 | 4 |
NULL | 5 |
NULL | 6 |
By understanding the difference between inner and outer joins, developers can effectively manipulate data and extract meaningful relationships from multiple tables.
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