When working with databases, it is quite common to have data spread across multiple tables. SQL provides a powerful feature called joins that allows you to combine data from multiple tables based on a related column between them. There are different types of joins such as inner join, outer join, left join, and right join, each serving a specific purpose in fetching data from multiple tables.
The SELECT statement in SQL is used to retrieve data from one or more tables. When querying data from multiple tables, you can use joins to specify how the tables are related to each other. For example, if you have a customers table and an orders table, you can use a join to fetch all orders placed by a specific customer by linking the two tables based on a common customer ID column.
Select From Multiple Tables
Types of Joins for Selecting Data from Multiple Tables
1. Inner Join: This type of join returns only the rows where there is a match between the columns in both tables being joined. It filters out rows where there is no matching data in either table.
2. Outer Join: Outer joins include rows from both tables even if there is no match in the columns being joined. There are three types of outer joins – left outer join, right outer join, and full outer join, each specifying which table’s data to include in the result set.
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SQL SELECT From Multiple Tables With MS SQL Server GeeksforGeeks
SQL SELECT From Multiple Tables With MS SQL Server GeeksforGeeks