PostgreSQL WHERE
Summary: in this tutorial, you will learn how to use PostgreSQL WHERE
clause to filter rows returned by a SELECT
statement.
The SELECT
the statement returns all rows from one or more columns in a table. To select rows that satisfy a specified condition, you use a WHERE
clause.
PostgreSQL WHERE
clause overview
The syntax of the PostgreSQL WHERE
a clause is as follows:
SELECT select_list
FROM table_name
WHERE condition
ORDER BY sort_expression
The WHERE
the clause appears right after the FROM
clause of the SELECT
statement. The WHERE
clause uses the condition
to filter the rows returned from the SELECT
clause.
The condition
must evaluate to true, false, or unknown. It can be a boolean expression or a combination of boolean expressions using the AND
and OR
operators.
The query returns only rows that satisfy the condition
in the WHERE
clause. In other words, only rows that cause the condition
evaluates to true will be included in the result set.
PostgreSQL evaluates the WHERE
clause after the FROM
clause and before the SELECT
and ORDER BY
clause:
If you use column aliases in the SELECT
clause, you cannot use them in the WHERE
clause.
Besides the SELECT
the statement, you can use the WHERE
clause in the UPDATE
and DELETE
statement to specify rows to be updated or deleted.
To form the condition in the WHERE
clause, you use comparison and logical operators:
Operator | Description |
---|---|
= | Equal |
> | Greater than |
< | Less than |
>= | Greater than or equal |
<= | Less than or equal |
<> or != | Not equal |
AND | Logical operator AND |
OR | Logical operator OR |
IN | Return true if a value matches any value in a list |
BETWEEN | Return true if a value is between a range of values |
LIKE | Return true if a value matches a pattern |
IS NULL | Return true if a value is NULL |
NOT | Negate the result of other operators |
PostgreSQL WHERE clause examples
Let’s practice with some examples of using the WHERE
clause. We will use the customer
table from the sample database for the demonstration.
1) Using WHERE clause with the equal (=
) operator example
The following statement uses the WHERE
clause customers whose first names are Jamie
:
SELECT
last_name,
first_name
FROM
customer
WHERE
first_name = 'Jamie';
2) Using the WHERE clause with the AND
operator example
The following example finds customers whose first name and last name are Jamie
and rice
by using the AND
logical operator to combine two Boolean expressions:
SELECT
last_name,
first_name
FROM
customer
WHERE
first_name = 'Jamie' AND
last_name = 'Rice';
3) Using the WHERE clause with the OR
operator example
This example finds the customers whose last name is Rodriguez
or the first name is Adam
by using the OR
operator:
SELECT
first_name,
last_name
FROM
customer
WHERE
last_name = 'Rodriguez' OR
first_name = 'Adam';
4) Using the WHERE clause with the IN
operator example
If you want to match a string with any string in a list, you can use the IN
operator.
For example, the following statement returns customers whose first name is Ann
, or Anne
, or Annie
:
SELECT
first_name,
last_name
FROM
customer
WHERE
first_name IN ('Ann','Anne','Annie');
5) Using the WHERE clause with the LIKE
operator example
To find a string that matches a specified pattern, you use the LIKE
operator. The following example returns all customers whose first names start with the string Ann
:
SELECT
first_name,
last_name
FROM
customer
WHERE
first_name LIKE 'Ann%'
The %
is called a wildcard that matches any string. The 'Ann%'
pattern matches any string that starts with 'Ann'
.
6) Using the WHERE clause with the BETWEEN operator example
The following example finds customers whose first names start with the letter A
and contains 3 to 5 characters by using the BETWEEN
operator.
The BETWEEN
the operator returns true if a value is in a range of values.
SELECT
first_name,
LENGTH(first_name) name_length
FROM
customer
WHERE
first_name LIKE 'A%' AND
LENGTH(first_name) BETWEEN 3 AND 5
ORDER BY
name_length;
In this example, we used the LENGTH()
function to get the number of characters of an input string.
7) Using the WHERE clause with the not equal operator (<>) example
This example finds customers whose first names start with Bra
and last names are not Motley
:
SELECT
first_name,
last_name
FROM
customer
WHERE
first_name LIKE 'Bra%' AND
last_name <> 'Motley';
Note that you can use the !=
operator and <>
operator interchangeably because they are equivalent.
In this tutorial, you have learned how to use PostgreSQL WHERE
clause in the SELECT
statement to filter rows based on a specified condition.
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