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29. Better Data Management: The Efficiency of TRUNCATE in SQL
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36. Unleashing the CONCAT Function In SQL: String Manipulation Made Easy
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40. DateDiff in SQL: A Complete Guide in 2024
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44. SQL Aggregate Functions
45. GROUP BY in SQL
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47. EXISTS in SQL
48. SQL Joins
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51. Full Outer Join in SQL
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52. Cross Join in SQL
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54. Left Join in SQL
55. Mastering SQL Substring
56. Understanding the ROW_NUMBER() Function in SQL
57. Cursor in SQL
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60. RANK Function in SQL
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63. Transact-SQL
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In the world of SQL, data retrieval is all about understanding the relationships between distinct data sets. Among the various types of joins, the Full Outer Join is a powerful tool that lets you to combine rows from two or more tables, regardless of whether a match exists. This article will go into the intricacies of the Full Outer Join, equipping you with the knowledge you need to maximise its potential.
The Full Outer Join is a type of join that returns all records when there is a match in either the left or right table. This join can be invaluable when you need a complete set of records from both tables, with NULLs in place where a record from one table has no corresponding match in the other.
The FULL OUTER JOIN is a powerful operation that allows you to combine data from two tables, ensuring that you get all records from both tables, regardless of whether there’s a match or not. Here’s how it works:
The basic syntax for a Full outer join in SQL is as follows:
SELECT columns
FROM table1
FULL OUTER JOIN table2
ON table1.column_name = table2.column_name;
Here’s an example using the Northwind sample database:
SELECT Customers.CustomerName, Orders.OrderID
FROM Customers
FULL OUTER JOIN Orders ON Customers.CustomerID = Orders.CustomerID
ORDER BY Customers.CustomerName;
In this example:
Let us consider two tables, namely Customers and Orders, so that we can understand the full join examples in detail:-
Customers
CustomerID | CustomerName |
1 | John Doe |
2 | Jane Smith |
3 | Emily Jones |
Orders
OrderID | CustomerID | OrderAmount |
101 | 1 | 250 |
102 | 3 | 450 |
103 | 1 | 150 |
Even with a Full Outer Join, you can filter the results using a WHERE clause. Here’s how:
SELECT *
FROM Customers
FULL OUTER JOIN Orders
ON Customers.CustomerID = Orders.CustomerID
WHERE Customers.CustomerName = 'John Doe';
Output
Output:
CustomerId CustomerName OrderID CustomerId OrderAmount
----------- -------------- --------- ----------- ------------
1 John Doe 101 1 250
1 John Doe 103 1 150
Explanation
In this scenario, we are filtering the results to only show rows related to "John Doe". Since "John Doe" has a matching order, we see that order in the output.
Using aliases (AS keywords) can make your queries more readable, especially with longer table names:
SELECT C.CustomerName, O.OrderAmount
FROM Customers AS C
FULL OUTER JOIN Orders AS O
ON C.CustomerID = O.CustomerID;
Output
CustomerName OrderAmount
-------------- ------------
John Doe 250
John Doe 150
Jane Smith NULL
Emily Jones 450
Explanation
Here, we use aliases for table names for better readability. The AS keyword is optional. The result set includes all customers and orders, with NULL where there is no match.
In some SQL implementations that do not support Full Outer Join directly, you can emulate it using the UNION clause:
SELECT CustomerName, OrderAmount
FROM Customers
LEFT JOIN Orders ON Customers.CustomerID = Orders.CustomerID
UNION
SELECT CustomerName, OrderAmount
FROM Customers
RIGHT JOIN Orders ON Customers.CustomerID = Orders.CustomerID;
Output
CustomerName OrderAmount
-------------- ------------
John Doe 250
John Doe 150
Jane Smith NULL
Emily Jones 450
Explanation
The expected output would be the same as the Full Outer Join output since UNION removes duplicate rows. However, if there are customers with the same name but different IDs or orders with the same amount but different IDs, the UNION may not reflect an accurate Full Outer Join equivalent since it would remove those perceived duplicates.
Here’s an alternative method using both LEFT and RIGHT joins with UNION to achieve the same result as a Full Outer Join:
SELECT CustomerName, OrderAmount
FROM Customers
LEFT OUTER JOIN Orders ON Customers.CustomerID = Orders.CustomerID
UNION ALL
SELECT CustomerName, OrderAmount
FROM Customers
RIGHT OUTER JOIN Orders ON Customers.CustomerID = Orders.CustomerID
WHERE Customers.CustomerID IS NULL;
Output
CustomerName OrderAmount
---------------- -----------
John Doe 250
John Doe 150
Jane Smith NULL
Emily Jones 450
Explanation
The UNION ALL operator is used here, which does not eliminate duplicate rows. The WHERE clause in the second query ensures that only non-matching rows from the right table (Orders) are included. This avoids duplication of the rows that are already retrieved by the first query (LEFT JOIN). The result will be the same as that of a Full Outer Join.
Therefore, In all cases, the Full Outer Join provides a complete view of all records from both tables, with NULL values in the columns from the table that lack a corresponding match.
In summary, the FULL OUTER JOIN in SQL is a powerful operation that combines data from two tables, ensuring that all records from both tables are included, regardless of whether there’s a match or not. It’s particularly useful when you need a comprehensive view of your data, capturing both matching and non-matching rows. Remember to use it judiciously, as it can potentially return large result sets.
Full Outer Join in SQL is a type of join that returns all records from both tables that are involved in the join, no matter whether there's a match between the joined columns. If there's a match, the joined table will have a single row with the combined information from both tables. If there is no match, the result set will still include a row for each non-matching record but with NULL values for the columns from the table that lack a matching row.
The term "Full Outer Inner Join" is not a standard SQL join type and seems to be a combination of terms. In SQL, we have either a "Full Outer Join" or an "Inner Join," but not a combination of both. An Inner Join only returns the rows that have matching values in both tables, contrasting with a Full Outer Join, which returns all rows from both tables.
In SQL, a Full Outer Join is equivalent to the union of a Left Outer Join and a Right Outer Join. This means it includes all records from both the left and the right tables, and it fills in NULL values for matches that do not exist on either side.
A UNION in SQL combines result sets of two or more SELECT statements into a single result set, including all the rows from the queries and eliminating duplicates. The Full Outer Join, on the other hand, is used to combine all rows from two joined tables, not just the ones that match.
A Full Outer Join effectively merges the content of two tables into one result set. It includes all rows from both tables and when there are no matches in one table, it shows NULL values for the missing columns. It is particularly useful when you need to maintain all information from both tables without losing any data due to non-matching rows.
A Full Join, also known as Full Outer Join, can be illustrated with the following example:
Let's say we have two tables, Customers and Orders. We want to see a list of all customers and their orders, as well as all orders and the customers who made them, regardless of whether every customer has an order or if there are orders with no corresponding customer.
Here's a simple representation of the tables:
Customers
CustomerID | Customer Name |
1 | John Doe |
2 | Jane Smith |
3 | Emily Jones |
Orders
OrderID | CustomerID | Order Amount |
101 | 1 | 250 |
102 | 3 | 450 |
103 | 4 | 150 |
A Full Outer Join SQL query would look like this:
SELECT Customers.CustomerName, Orders.OrderAmount
FROM Customers
FULL OUTER JOIN Orders ON Customers.CustomerID =
Orders.CustomerID;
The result set would look something like this:
Customer Name | Order Amount |
John Doe | 250 |
Jane Smith | NULL |
Emily Jones | 450 |
NULL | 150 |
This result set includes all customers and all orders. Note that "Jane Smith" didn't place any order, and there's an order from a customer (CustomerID = 4) not listed in our Customers table.
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