What’s the difference in between INNER JOIN, LEFT JOIN, appropriate JOIN, and FULL join in SQL? When should you usage each one? We’ve acquired your answers ideal here.

You want to incorporate data from two or more different tables, but you’re no sure exactly how to do it in SQL. No worries. In this article, i will display you exactly how to use the SQL join clause to unify data from two tables. There are different SQL JOIN types that you can use for different results. If you desire to discover the differences between INNER JOIN, LEFT JOIN, appropriate JOIN, and FULL JOIN, store reading. This article is for you.

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First, let’s start with the basics: what is a sign up with statement and also how does that work?

What Is an SQL JOIN?

A sign up with clause is provided when you need to incorporate data from 2 or much more tables into one data set. Documents from both tables are matched based upon a condition (also called a join predicate) you specify in the join clause. If the problem is met, the documents are contained in the output.

In this article, I’ll explain the SQL join concept and the different JOIN types using examples. So, before we go any further, let"s take a look at the tables that we are going to use in this article.

Get to recognize the Database

We room going to use tables indigenous a fictional bank database. The an initial table is called account and it has data related to customer financial institution accounts:


account table

This table includes 10 documents (10 accounts) and also five columns:

account_id – unique identifies each account. Overdraft_amount – The overdraft limit for each account. Customer_id – unique identifies every customer. Type_id – identifies the kind of the account. Segment – includes the values ‘RET’ (for sleeve clients) and ‘CORP’ (for this firm clients).

The 2nd table is dubbed customer and contains customer-related data:


customer table

This table consists of eight records and also five columns:

customer_id – unique identifies each account. Name – The customer’s an initial name. Lastname – The customer’s critical name. Gender– The customer’s sex (M or F). Marital_status – If the client is married (Y or N).

Now the we have actually these 2 tables, us can combine them come display additional results pertained to customer or account data. Join can aid us to gain answers to inquiries like:

that owns each account in the account table? How plenty of accounts walk Marc Tesco have ? How countless accounts are owned through a mrs customer? What is the full overdraft lot for every one of Emma Johnson’s accounts?

To answer every of this questions, we need to incorporate two tables (account and also customer) making use of a pillar that shows up in both tables (in this case, customer_id). Once we unify the two tables, us will have account and customer information in a single output.

Keep in mind the in the account table we have some customers that can’t be found in the customer table. (Info about corporate client is stored somewhere else.) Also, keep in mind that part customer IDs are not existing in the account table; part customers don"t have accounts.

There space several means we can incorporate two tables. Or, put another way, we have the right to say the there are several various SQL sign up with types.

SQL’s 4 join Types

SQL JOIN types include:

INNER join (also well-known as a ‘simple’ JOIN). This is the many common type of JOIN. LEFT sign up with (or LEFT external JOIN) RIGHT sign up with (or RIGHT outer JOIN) complete JOIN (or full OUTER JOIN)

Let"s dive deeper right into the very first four SQL join types. I will use an example to explain the logic and also the syntax of each type. Sometimes human being use Venn diagrams once explaining SQL join types. I"m no going to usage them here, however if that’s your thing then examine out the article How to find out SQL JOINs.


INNER sign up with is offered to display corresponding records from both tables. This is likewise called a an easy JOIN; if girlfriend omit the within keyword (or any type of other keyword, prefer LEFT, RIGHT, or FULL) and just usage JOIN, this is the form of join you’ll gain by default.

There are usually two (or more) tables in a sign up with statement. We speak to them the left and right tables. The left table is in the FROM clause – and thus to the left the the sign up with keyword. The best table is between the JOIN and also ON keywords, or come the appropriate of the sign up with keyword.

If the JOIN problem is met in an inside JOIN, that document is consisted of in the data set. It deserve to be from one of two people table. If the record does not match the criteria, it’s not included. The image below shows what would happen if the color blue was the sign up with criteria for the left and also right tables:


Let"s take it a look how INNER join works in ours example. Ns going to execute a simple JOIN on account and customer to display screen account and also customer info in one output:

SELECT account.*, customer.name, customer.lastname, customer.gender, customer.marital_statusFROM account sign up with customer top top account.customer_id=customer.customer_id;Here is a short explanation of what’s going on:

I’m using JOIN because we space merging the account and customer tables. The sign up with predicate right here is characterized by equality:

account.customer_id = customer.customer_id

In other words, documents are suitable by worths in the customer_id column:

records that re-publishing the exact same customer identifier value space matched. (They are shown in shade in the above image.) documents that don’t have a match in either table (shown in gray) room not consisted of in the result set. For documents that have actually a match, all features from the account table are displayed in the result set. The name, last name, gender, and also marital status features from the customer table are also displayed.

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After to run this code, SQL returns following:


INNER sign up with result

As we discussed earlier, just colored (matching) documents were returned; all others are discarded. In business terms, we presented all the retail accounts with thorough information about their owners. Non-retail account were no displayed due to the fact that their customer details is not stored in the customer table.