How does left outer join work?
A left outer join is a method of combining tables. The result includes unmatched rows from only the table that is specified before the LEFT OUTER JOIN clause. If you are joining two tables and want the result set to include unmatched rows from only one table, use a LEFT OUTER JOIN clause or a RIGHT OUTER JOIN clause.The LEFT JOIN command returns all rows from the left table, and the matching rows from the right table. The result is NULL from the right side, if there is no match.The short answer is that there is no difference between a LEFT JOIN and a LEFT OUTER JOIN . They return identical results. (This is true for all database servers and the ANSI and ISO SQL standard, not just SQL Server.)

How does left right join work in SQL : LEFT (OUTER) JOIN : Returns all records from the left table, and the matched records from the right table. RIGHT (OUTER) JOIN : Returns all records from the right table, and the matched records from the left table. FULL (OUTER) JOIN : Returns all records when there is a match in either left or right table.

Is left outer join better than inner join

You can observe the lack of performance because SQL inner join is slower. Outer joins, especially left outer joins, are faster and better performance in most cases. The satisfaction of the inner join condition is mandatory. There are no conditions that we have to meet in the outer join query necessarily.

Can you have two left outer joins : Yes, indeed! You can use multiple LEFT JOINs in one query if needed for your analysis.

The syntax of LEFT JOIN follows the standard JOIN syntax:

  1. Reference the first table in FROM .
  2. Use the LEFT JOIN keyword to reference the second table.
  3. Use the ON keyword to specify the joining condition.


Again, if we perform a left outer join where date = date, each row from Table 5 will join on to every matching row from Table 4. However, in this case, the join will result in 4 rows of duplicate dates in the joined DataSet (see Table 6).

Is left join better than inner join

You'll use INNER JOIN when you want to return only records having pair on both sides, and you'll use LEFT JOIN when you need all records from the “left” table, no matter if they have pair in the “right” table or not.Left Join retrieves all the records and the data from the left table and all matching records from the right table. Right Join retrieves all the records and the data from the right table and all matching records from the left table. Here, the “LEFT JOIN” keyword is used.A left join returns all rows from x, and all columns from x and y. If there are multiple matches between x and y, all match combinations are returned.

INNER JOIN vs LEFT JOIN Actually, that is not the question at all. You'll use INNER JOIN when you want to return only records having pair on both sides, and you'll use LEFT JOIN when you need all records from the “left” table, no matter if they have pair in the “right” table or not.

Which join is fastest in SQL : Outer joins, especially left outer joins, are faster and better performance in most cases. The satisfaction of the inner join condition is mandatory. There are no conditions that we have to meet in the outer join query necessarily. There is no output of those entries not matching with the entries of another table.

What is the difference between inner join and left outer join : The biggest difference between an INNER JOIN and an OUTER JOIN is that the inner join will keep only the information from both tables that's related to each other (in the resulting table). An Outer Join, on the other hand, will also keep information that is not related to the other table in the resulting table.

How to use outer join in SQL example

The syntax of the SQL FULL OUTER JOIN statement is:

  1. SELECT columns FROM table1 FULL OUTER JOIN table2 ON table1. column1 = table2. column2;
  2. SELECT Customers. customer_id, Customers.
  3. SELECT Customers. customer_id, Customers.
  4. — use alias C for Categories table — use alias P for Products table SELECT C. category_name, P.


Again, if we perform a left outer join where date = date, each row from Table 5 will join on to every matching row from Table 4. However, in this case, the join will result in 4 rows of duplicate dates in the joined DataSet (see Table 6).In some cases, you need to join tables by multiple columns. In these situations, if you use only one pair of columns, it results in duplicate rows.

Why would anyone use a left join : LEFT JOIN Usage

This type of JOIN is used when you want to show all data from the left table and only the matching ones from the right. In a way, you're filtering data from the right table.