In this lesson, we'll cover different ways to manipulate and select data from SQL database tables.

1. Use the INSERT INTO command to insert data (i.e. rows) into a database table
2. Use SELECT statements to select data from a database table
3. Use the WHERE clause to select data from specific table rows
4. Use comparison operators, like < or >, to select specific data
5. Use UPDATE statements to update data within a database table
6. Use DELETE statements to delete data from a database table

In this code along, we'll be creating a cats table in a pets_database.db. So, let's navigate to our terminal and get started.

First let's create our pets_database by running the following the command in the terminal:

sqlite3 pets_database.db

Now that we have a database, let's create our cats table along with id, name, age and breed columns.

CREATE TABLE cats (
  id INTEGER PRIMARY KEY,
  name TEXT,
  age INTEGER,
  breed TEXT
);

Okay, let's start storing some cats.

In your terminal, in the sqlite prompt, type the following:

INSERT INTO cats (name, age, breed) VALUES ('Maru', 3, 'Scottish Fold');

We use the INSERT INTO command, followed by the name of the table to which we want to add data. Then, in parentheses, we put the column names that we will be filling with data. This is followed by the VALUES keyword, which is accompanied by a parentheses enclosed list of the values that correspond to each column name.

Important: Note that we didn't specify the "id" column name or value. Since we created the cats table with an "id" column whose type is INTEGER PRIMARY KEY, we don't have to specify the id column values when we insert data. Primary Key columns are auto-incrementing. As long as you have defined an id column with a data type of INTEGER PRIMARY KEY, a newly inserted row's id column will be automatically given the correct value.

Let's add a few more cats to our table. This time we'll do this via our text editor. Create a file, 01_insert_cats_into_cats_table.sql. Use two INSERT INTO statements to insert the following cats into the table:

Each INSERT INTO statement gets its own line in the .sql file in your text editor. Each line needs to end with a ;. Run the file with the following code in your terminal:

sqlite3 pets_database.db < 01_insert_cats_into_cats_table.sql

NOTE: This command should be run from your terminal prompt, not in the sqlite console.

Now, we'll learn how to SELECT data from a table, which will help us to confirm that we inserted the above data correctly.

Now that we've inserted some data into our cats table, we likely want to read that data. This is where the SELECT statement comes in. We use it to retrieve database data, or rows.

A basic SELECT statement works like this:

SELECT [names of columns we are going to select] FROM [table we are selecting from];

We specify the names of the columns we want to SELECT and then tell SQL the table we want to select them FROM.

We want to select all the rows in our table, and we want to return the data stored in any and all columns in those rows. To do this, we could pass the name of each column explicitly:

SELECT id, name, age, breed FROM cats;

Which should give us back:

1|Maru|3|Scottish Fold
2|Lil' Bub|5|American Shorthair
3|Hannah|1|Tabby

A faster way to get data from every column in our table is to use a special selector, known commonly as the 'wildcard' selector *. The * selector means: "Give me all the data from all the columns for all of the cats" Using the wildcard, we can SELECT all the data from all of the columns in the cats table like this:

SELECT * FROM cats;

Now let's try out some more specific SELECT statements:

To select just certain columns from a table, use the following:

SELECT name FROM cats;

That should return the following:

Maru
Lil' Bub
Hannah

You can even select more than one column name at a time. For example, try out:

SELECT name, age FROM cats;

Top-Tip: If you have duplicate data (for example, two cats with the same name) and you only want to select unique values, you can use the DISTINCT keyword. For example:

SELECT DISTINCT name FROM cats;

What happens when we want to retrieve a specific table row? For example the row that belongs to Maru? Or to retrieve all the baby cats who are younger than two years old? We can use the WHERE keyword to select data based on specific conditions. Here's an example of a boilerplate SELECT statement using a WHERE clause.

SELECT * FROM [table name] WHERE [column name] = [some value];

Let's retrieve just Maru from our cats table:

SELECT * FROM cats WHERE name = "Maru";

That statement should return the following:

1|Maru|3|Scottish Fold

We can also use comparison operators, like < or > to select specific data. Let's give it a shot. Use the following statement to select the young cats:

SELECT * FROM cats WHERE age < 2;

Advanced: The SQL statements we're learning here will eventually be used to integrate the applications you'll build with a database. For example, it's easy to imagine a web application that has many users. When a user signs into your app, you'll need to access your database and select the user that matches the credentials an individual is using to log in.

Let's talk about updating, or changing, data in our table rows. We do this with the UPDATE keyword.

A boilerplate UPDATE statement looks like this:

UPDATE [table name] SET [column name] = [new value] WHERE [column name] = [value];

The UPDATE statement uses a WHERE clause to grab the row you want to update. It identifies the table name you are looking in and resets the data in a particular column to a new value.

Let's update one of our cats. Turns out Maru's friend Hannah is actually Maru's friend Hana. Let's update that row to change the name to the correct spelling:

UPDATE cats SET name = "Hana" WHERE name = "Hannah";

One last thing before we move on: deleting table rows.

To delete table rows, we use the DELETE keyword.

A boilerplate DELETE statement looks like this:

DELETE FROM [table name] WHERE [column name] = [value];

Let's go ahead and delete Hana from our cats table (it turns out Hana is actually an iguana):

DELETE FROM cats WHERE id = 3;

Notice that this time we selected the row to delete using the Primary Key column. Remember that every table row has a Primary Key column that is unique. Hana was the third row in the database and thus had an id of 3.