Searching Tables with 'WHERE'

7:27 with Andrew Chalkley

The real power of SQL comes from filtering rows of information. You've filtered columns, now you're going to filter rows.

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SQL Used

A `WHERE` Clause

SELECT <columns> FROM <table> WHERE <condition>;

Equality Operator

Find all rows that a given value matches a column's value.

SELECT <columns> FROM <table> WHERE <column name> = <value>;

Examples:

SELECT * FROM contacts WHERE first_name = "Andrew";
SELECT first_name, email FROM users WHERE last_name = "Chalkley";
SELECT name AS "Product Name" FROM products WHERE stock_count = 0;
SELECT title "Book Title" FROM books WHERE year_published = 1999;

Inequality Operator

Find all rows that a given value doesn't match a column's value.

SELECT <columns> FROM <table> WHERE <column name> != <value>;
SELECT <columns> FROM <table> WHERE <column name> <> <value>;

The not equal to or inequality operator can be written in two ways != and <>. The latter is less common.

Examples:

SELECT * FROM contacts WHERE first_name != "Kenneth";
SELECT first_name, email FROM users WHERE last_name != "L:one";
SELECT name AS "Product Name" FROM products WHERE stock_count != 0;
SELECT title "Book Title" FROM books WHERE year_published != 2015;

See all of the SQL used in SQL Basics in the SQL Basics Cheat Sheet.

0:00
Remember, the syntax for retrieving all information from a table, but
0:04
there's more that you can do with the SELECT statement.
0:07
We can search to retrieve the information we want by using a WHERE clause.
0:12
We create a WHERE clause with the word keyword followed by a .
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Let's take a closer look at what a looks like.
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First, you have the name, then a special character or
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set of characters called an .
0:26
And finally, you have the value.
0:29
Let's take a look at our library example again.
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Let's start with a question.
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What are all the titles and authors of the books in the library published in 1997?
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As you can see, when we run this query J.K.
0:42
Rowling's first Harry Potter book is retrieved.
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Let's take a quick look at what the bids listed with this query.
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It used the condition in the where clause to see if the first underscore
0:53
published column had the value of 1997.
0:56
If it did, it returned to the title and author.
1:02
Since there is only one entry that matches this condition in the books table,
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we only got one result back.
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We also didn't need to include the first_published column in
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the select section of our query.
1:17
We didn't need to include the column we were testing there.
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This is particularly handled when your generating reports and
1:24
keeping quota to a minimum.
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Also, keeping the data to a minimum in our reports maximizes the efficiency
1:31
of the report being returned.
1:34
See how we use this equal sign?
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This is known as the equality operator.
1:38
We use that to test of the contents in the column were equal to the value of 1997.
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Note that we didn't include quotes around 1997, since it's a numeric type.
1:51
Numeric types will never have spaces in them,
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so just writing the number is all that's needed.
1:57
Now you might remember we have a date data type even though 1997 is a year,
2:02
we're storing it as an integer here.
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Because we don't need a day, month or
2:08
a specific time to be stored in our database.
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We'll look at a date example shortly.
2:14
Let's take a look at what the database does when running this query.
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Here's all the information in the books table.
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When the query is executed,
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each row is processed to see if it matches the condition after the word keyword.
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Let's see this first row.
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The value in the first_published column happens to be 1997.
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It's a match, so it'll be returned, then every other row is evaluated.
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In this case, all of the rows don't match.
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Only the selected columns from the first row are returned.
2:50
Let's modify this query to answer another question.
2:53
What are all the books authored by J.K Rowling?
3:01
And what year were they first_published?
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Since the author is of a text type, we must use quotes around the value.
3:11
If we didn't include quotes, a syntax error would occur.
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See how this has now retrieved all books by J.K. Rowling?
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She's a busy lady.
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An important thing to realize is that the equality operator is strict.
3:25
Meaning, if I were to search for J.K. Rowling with a lower case
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r, It would return no results.
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In other words, the equal to operator is case sensitive.
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In other programming languages, the equal operator is a double equal sign.
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With SQL, it's just one.
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Let's ask another question.
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Let's bring back books that are not by J.K. Rowling.
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We can use the not equal to or inequality operator to do this.
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We write the inequality operator by using an exclamation mark before the equal sign.
4:02
Let's bring back the title, author and first_published date for
4:08
all books that are not written by J.K. Rowling.
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Wow, J.K. Rowling has a lot of books in our library.
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Other authors haven't been anywhere near as busy.
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We've searched using numbers with the first_published column and
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text with the author.
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The next type we can search by is date.
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In our library database, we have a loans table.
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Let's just do a quick select statement to see what we've got available for columns.
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There are three date columns, loaned_on, return_by and returned_on.
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We can ask all sorts of questions related to a particular date.
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For example, what books are loaned on the 10th of December 2015?
4:56
First, we select the book_id
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FROM the loans table WHERE loaned_on
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= "2015-12-10"
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with quotes around it.
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The query returns the book with the ID of 15, but which book is book 15?
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We can figure it out if
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we SELECT title FROM books
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WHERE id is = 15.
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The book with the id of 15 is Emma.
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Remember, I mentioned before that the ID is a unique identifier for
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a row entry in a table.
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People who design databases often use the ID of the tables,
5:56
these are known as foreign keys.
5:58
Let's look at the loans table again.
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You can see that the book_id and
6:04
the patron_id are being used in the loans table.
6:07
These are foreign keys.
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Instead of duplicating information from the book or the patron tables using the ID
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serves on duplication and disc space, because the data is tightly coupled,
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you'll often hear that these databases are referred to as relational databases,
6:25
because the data has relationships with other data.
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These relationships are where a lot of the power and
6:32
complexity come from when writing more advanced SQL queries.
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We'll take a look at those types of queries in another course.
6:40
So to recap, this is the syntax for
6:42
writing queries for searching for an exact match of a value.
6:47
You do your regular select from query with the WHERE keyword followed by condition.
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The condition is a column name, an operator and a value.
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When you want to find an exact match, we use the equality operator,
7:01
which is represented by an equal sign.
7:04
To find all non-matching entries, you'd use the inequality operator,
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the exclamation mark followed by an equal sign.
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You also don't need to list the column you included in the condition or
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the work course in your columns list.
7:19
Finally, if you're using a numeric value,
7:22
you don't need to use any quote marks for the text types and date types you do.

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SQL Basics

Searching Tables with 'WHERE'

SQL Used

A WHERE Clause

Equality Operator

Inequality Operator

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A `WHERE` Clause