Key Concepts

Review core concepts you need to learn to master this subject

Outer Join

WITH Clause

UNION Clause

CROSS JOIN Clause

Foreign Key

Primary Key

Inner Join

Outer Join

SELECT column_name(s)
FROM table1
LEFT JOIN table2
  ON table1.column_name = table2.column_name;

An outer join will combine rows from different tables even if the join condition is not met. In a LEFT JOIN, every row in the left table is returned in the result set, and if the join condition is not met, then NULL values are used to fill in the columns from the right table.

Multiple Tables
Lesson 1 of 1
  1. 1
    Introduction
    In order to efficiently store data, we often spread related information across multiple tables. For instance, imagine that we’re running a magazine company where users can have different types of …
    Start
  2. 2
    Combining Tables Manually
    Let’s return to our magazine company. Suppose we have the three tables described in the previous exercise – shown in the browser on the right (we are going to try something new!): - orders - subsc…
    Start
  3. 3
    Combining Tables with SQL
    Combining tables manually is time-consuming. Luckily, SQL gives us an easy sequence for this: it’s called a JOIN. If we want to combine orders and customers, we would type: SELECT * FROM orders JO…
    Start
  4. 4
    Inner Joins
    Let’s revisit how we joined orders and customers. For every possible value of customer_id in orders, there was a corresponding row of customers with the same customer_id. What if that wasn’t true…
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  5. 5
    Left Joins
    What if we want to combine two tables and keep some of the un-matched rows? SQL lets us do this through a command called LEFT JOIN. A left join will keep all rows from the first table, regardles…
    Start
  6. 6
    Primary Key vs Foreign Key
    Let’s return to our example of the magazine subscriptions. Recall that we had three tables: orders, subscriptions, and customers. Each of these tables has a column that uniquely identifies each ro…
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  7. 7
    Cross Join
    So far, we’ve focused on matching rows that have some information in common. Sometimes, we just want to combine all rows of one table with all rows of another table. For instance, if we had a tab…
    Start
  8. 8
    Union
    Sometimes we just want to stack one dataset on top of the other. Well, the UNION operator allows us to do that. Suppose we have two tables and they have the same columns. table1: | pokemon | ty…
    Start
  9. 9
    With
    Often times, we want to combine two tables, but one of the tables is the result of another calculation. Let’s return to our magazine order example. Our marketing department might want to know a b…
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  10. 10
    Review
    In this lesson, we learned about relationships between tables in relational databases and how to query information from multiple tables using SQL. Let’s summarize what we’ve learned so far: - JOI…
    Start

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