(SQL examples for Beginners)
In this end-to-end example, you will learn – SQL Tutorials for Business Analyst: How to use Joins in MySQL.
MySQL JOINS Tutorial: INNER, OUTER, LEFT, RIGHT, CROSS
What are JOINS?
Note: JOIN is the most misunderstood topic amongst SQL leaners. For sake of simplicity and ease of understanding , we will be using a new Database to practice sample. As shown below
|1||ASSASSIN’S CREED: EMBERS||Animations|
|3||Alvin and the Chipmunks||Animations|
|4||The Adventures of Tin Tin||Animations|
|9||The Dirty Picture||18+|
|10||Marley and me||Romance|
Types of joins
Cross JOIN is a simplest form of JOINs which matches each row from one database table to all rows of another.
In other words it gives us combinations of each row of first table with all records in second table.
Suppose we want to get all member records against all the movie records, we can use the script shown below to get our desired results.
SELECT * FROM `movies` CROSS JOIN `members`
Executing the above script in MySQL workbench gives us the following results.
|1||ASSASSIN’S CREED: EMBERS||Animations||1||Adam||Smith||1|
|1||ASSASSIN’S CREED: EMBERS||Animations||2||Ravi||Kumar||2|
|1||ASSASSIN’S CREED: EMBERS||Animations||3||Susan||Davidson||5|
|1||ASSASSIN’S CREED: EMBERS||Animations||4||Jenny||Adrianna||8|
|1||ASSASSIN’S CREED: EMBERS||Animations||6||Lee||Pong||10|
|3||Alvin and the Chipmunks||Animations||1||Adam||Smith||1|
|3||Alvin and the Chipmunks||Animations||2||Ravi||Kumar||2|
|3||Alvin and the Chipmunks||Animations||3||Susan||Davidson||5|
|3||Alvin and the Chipmunks||Animations||4||Jenny||Adrianna||8|
|3||Alvin and the Chipmunks||Animations||6||Lee||Pong||10|
|4||The Adventures of Tin Tin||Animations||1||Adam||Smith||1|
|4||The Adventures of Tin Tin||Animations||2||Ravi||Kumar||2|
|4||The Adventures of Tin Tin||Animations||3||Susan||Davidson||5|
|4||The Adventures of Tin Tin||Animations||4||Jenny||Adrianna||8|
|4||The Adventures of Tin Tin||Animations||6||Lee||Pong||10|
|9||The Dirty Picture||18+||1||Adam||Smith||1|
|9||The Dirty Picture||18+||2||Ravi||Kumar||2|
|9||The Dirty Picture||18+||3||Susan||Davidson||5|
|9||The Dirty Picture||18+||4||Jenny||Adrianna||8|
|9||The Dirty Picture||18+||6||Lee||Pong||10|
|10||Marley and me||Romance||1||Adam||Smith||1|
|10||Marley and me||Romance||2||Ravi||Kumar||2|
|10||Marley and me||Romance||3||Susan||Davidson||5|
|10||Marley and me||Romance||4||Jenny||Adrianna||8|
|10||Marley and me||Romance||6||Lee||Pong||10|
The inner JOIN is used to return rows from both tables that satisfy the given condition.
Suppose , you want to get list of members who have rented movies together with titles of movies rented by them. You can simply use an INNER JOIN for that, which returns rows from both tables that satisfy with given conditions.
SELECT members.`first_name` , members.`last_name` , movies.`title` FROM members ,movies WHERE movies.`id` = members.`movie_id`
Executing the above script give
|Adam||Smith||ASSASSIN’S CREED: EMBERS|
|Lee||Pong||Marley and me|
Note the above results script can also be written as follows to achieve the same results.
SELECT A.`first_name` , A.`last_name` , B.`title` FROM `members`AS A INNER JOIN `movies` AS B ON B.`id` = A.`movie_id`
MySQL Outer JOINs return all records matching from both tables .
It can detect records having no match in joined table. It returns NULL values for records of joined table if no match is found.
Sounds Confusing ? Let’s look into an example –
Assume now you want to get titles of all movies together with names of members who have rented them. It is clear that some movies have not being rented by any one. We can simply use LEFT JOIN for the purpose.
The LEFT JOIN returns all the rows from the table on the left even if no matching rows have been found in the table on the right. Where no matches have been found in the table on the right, NULL is returned.
SELECT A.`title` , B.`first_name` , B.`last_name` FROM `movies` AS A LEFT JOIN `members` AS B ON B.`movie_id` = A.`id`
Executing the above script in MySQL workbench gives.You can see that in the returned result which is listed below that for movies which are not rented, member name fields are having NULL values. That means no matching member found members table for that particular movie.
|ASSASSIN’S CREED: EMBERS||Adam||Smith|
|Marley and me||Lee||Pong|
|Alvin and the Chipmunks||NULL||NULL|
|The Adventures of Tin Tin||NULL||NULL|
|The Dirty Picture||NULL||NULL|
Note: Null is returned for non-matching rows on right
RIGHT JOIN is obviously the opposite of LEFT JOIN. The RIGHT JOIN returns all the columns from the table on the right even if no matching rows have been found in the table on the left. Where no matches have been found in the table on the left, NULL is returned.
In our example, let’s assume that you need to get names of members and movies rented by them. Now we have a new member who has not rented any movie yet
SELECT A.`first_name` , A.`last_name`, B.`title` FROM `members` AS A RIGHT JOIN `movies` AS B ON B.`id` = A.`movie_id`
Executing the above script in MySQL workbench gives the following results.
|Adam||Smith||ASSASSIN’S CREED: EMBERS|
|Lee||Pong||Marley and me|
|NULL||NULL||Alvin and the Chipmunks|
|NULL||NULL||The Adventures of Tin Tin|
|NULL||NULL||The Dirty Picture|
Note: Null is returned for non-matching rows on left
“ON” and “USING” clauses
In above JOIN query examples, we have used ON clause to match the records between table.
USING clause can also be used for the same purpose. The difference with USING is it needs to have identical names for matched columns in both tables.
In “movies” table so far we used its primary key with the name “id”. We referred to same in “members” table with the name “movie_id”.
Let’s rename “movies” tables “id” field to have the name “movie_id”. We do this in order to have identical matched field names.
ALTER TABLE `movies` CHANGE `id` `movie_id` INT( 11 ) NOT NULL AUTO_INCREMENT;
Next let’s use USING with above LEFT JOIN example.
SELECT A.`title` , B.`first_name` , B.`last_name` FROM `movies` AS A LEFT JOIN `members` AS B USING ( `movie_id` )
Apart from using ON and USING with JOINs you can use many other MySQL clauses like GROUP BY, WHERE and even functions like SUM, AVG, etc.
Why should we use joins?
Now you may think, why we use JOINs when we can do the same task running queries. Especially if you have some experience in database programming you know we can run queries one by one, use output of each in successive queries. Of course, that is possible. But using JOINs, you can get the work done by using only a one query with any search parameters. On the other hand MySQL can achieve better performance with JOINs as it can use Indexing. Simply use of single JOIN query instead running multiple queries do reduce server overhead. Using multiple queries instead that leads more data transfers between MySQL and applications (software). Further it requires more data manipulations in application end also.
It is clear that we can achieve better MySQL and application performances by use of JOINs.
- JOINS allow us to combine data from more than one table into a single result set.
- JOINS have better performance compared to sub queries
- INNER JOINS only return rows that meet the given criteria.
- OUTER JOINS can also return rows where no matches have been found. The unmatched rows are returned with the NULL keyword.
- The major JOIN types include Inner, Left Outer, Right Outer, Cross JOINS etc.
- The frequently used clause in JOIN operations is “ON”. “USING” clause requires that matching columns be of the same name.
- JOINS can also be used in other clauses such as GROUP BY, WHERE, SUB QUERIES, AGGREGATE FUNCTIONS etc.
Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.
Latest end-to-end Learn by Coding Projects (Jupyter Notebooks) in Python and R:
There are 2000+ End-to-End Python & R Notebooks are available to build Professional Portfolio as a Data Scientist and/or Machine Learning Specialist. All Notebooks are only $29.95. We would like to request you to have a look at the website for FREE the end-to-end notebooks, and then decide whether you would like to purchase or not.