Left Join in SQL Srver

in this tutorial, you will learn about the SQL Server LEFT JOIN clause and how to query data from multiple tables.

Introduction to SQL Server LEFT JOIN clause

The LEFT JOIN is a clause of the SELECT statement. The LEFT JOIN clause allows you to query data from multiple tables.

The LEFT JOIN returns all rows from the left table and the matching rows from the right table. If no matching rows are found in the right table, NULL are used.

The following illustrates how to join two tables T1 and T2 using the LEFT JOIN clause:

SELECT
    select_list
FROM
    T1
LEFT JOIN T2 ON
    join_predicate;

In this syntax, T1 and T2 are the left and right tables, respectively.

For each row from the T1 table, the query compares it with all the rows from the T2 table. If a pair of rows causes the join predicate to evaluate to TRUE, the column values from these rows will be combined to form a new row which is then included in the result set.

If a row from the left table (T1) does not have any matching row from the T2 table, the query combines column values of the row from the left table with NULL for each column values from the right table.

In short, the LEFT JOIN clause returns all rows from the left table (T1) and matching rows or NULL values from the right table (T2).

In this illustration, no row from the T2 table matches row 1 from the T1 table; therefore, NULL is used. Rows 2 and 3 from the T1 table match rows A and B from the T2 table, respectively.

SQL Server LEFT JOIN example

Each sales order item includes one product. The link between the order_items and the products tables is the product_id column.

The following statement uses the LEFT JOIN clause to query data from the products and order_items tables:

SELECT
    product_name,
    order_id
FROM
    production.products p
LEFT JOIN sales.order_items o ON o.product_id = p.product_id
ORDER BY
    order_id;

As you see clearly from the result set, a list of NULL in the order_id column indicates that the corresponding products have not been sold to any customer yet.

It is possible to use the WHERE clause to limit the result set. The following query returns the products that do not appear in any sales order:

SELECT
    product_name,
    order_id
FROM
    production.products p
LEFT JOIN sales.order_items o ON o.product_id = p.product_id
WHERE order_id IS NULL
ORDER BY
    order_id;

As always, SQL Server processes the WHERE clause after the LEFT JOIN clause.

The following example shows how to join three tables: production.products, sales.orders, and sales.order_items using the LEFT JOIN clauses:

SELECT
    p.product_name,
    o.order_id,
    i.item_id,
    o.order_date
FROM
    production.products p
    LEFT JOIN sales.order_items i
        ON i.product_id = p.product_id
    LEFT JOIN sales.orders o
        ON o.order_id = i.order_id
ORDER BY
    order_id;

Here is the output:

SQL Server LEFT JOIN: conditions in ON vs. WHERE clause

The following query finds the products that belong to the order id 100:

SELECT
    product_name,
    order_id
FROM
    production.products p
LEFT JOIN sales.order_items o 
   ON o.product_id = p.product_id
WHERE order_id = 100
ORDER BY
    order_id;

Let’s move the condition order_id = 100 to the ON clause:

SELECT
    p.product_id,
    product_name,
    order_id
FROM
    production.products p
    LEFT JOIN sales.order_items o 
         ON o.product_id = p.product_id AND 
            o.order_id = 100
ORDER BY
    order_id DESC;

The query returned all products, but only the order with id 100 has the associated product’s information.

Note that for the INNER JOIN clause, the condition in the ON clause is functionally equivalent if it is placed in the WHERE clause.