![]() Here, the SQL command performs a right join on the Categories and Products tables while assigning the aliases C and P to them, respectively. For example, - use alias C for Categories table We can use AS aliases inside RIGHT JOIN to make our SQL code short and clean. Here, the SQL command joins the Customers and Orders tables and selects rows where the amount is greater than or equal to 500. ON Customers.customer_id = Orders.customer For example, SELECT Customers.customer_id, Customers.first_name, Orders.amount The SQL RIGHT JOIN statement can have an optional WHERE clause. ON Orders.customer = Customers.customer_id However, you can get the same results by using a LEFT JOIN and swapping the left and right tables. Note: RIGHT JOIN is not supported by our online SQL compiler since it's based on SQLite. Here, the SQL command selects the customer_id and first_name columns (from the Customers table) and the amount column (from the Orders table).Īnd, the result set will contain those rows where there is a match between customer_id (of the Customers table) and customer (of the Orders table), along with all the remaining rows from the Orders table. Here's how this code works: Example: SQL RIGHT JOIN SELECT Customers.customer_id, Customers.first_name, Orders.amount based on customer_id of Customers and customer of Orders To perform join between A and B using LEFT JOIN clause, you use the following statement: SELECT a, b FROM A LEFT JOIN B ON A.f B.f WHERE searchcondition Code language: SQL (Structured Query Language) (sql) The expression A.f B.f is a conditional expression. column1 and column2 are the related columns in the two tablesĮxample: SQL RIGHT JOIN - join Customers and Orders tables.The syntax of the SQL RIGHT JOIN statement is: SELECT columns_from_both_tables item column from the Orders table (including those whose customer_id value is not present in the Customers table).customer_id and first_name columns from the Customers table. ![]() Here, the code right joins the Customers and Orders tables based on customer_id, which is common to both tables. ON Customers.customer_id = Orders.customer_id SELECT Customers.customer_id, Customers.first_name, em based on their shared customer_id columns Example - join Customers and Orders tables It selects records that have matching values in these columns and the remaining rows from the right table. The SQL RIGHT JOIN statement joins two tables based on a common column.
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