The LIKE operator is used in a WHERE clause to search for a
specified pattern in a column.
The LIKE Operator
The LIKE operator is used to search for a specified pattern in a
column.
SQL LIKE Syntax
SELECT column_name(s)
FROM table_name
WHERE column_name LIKE pattern
FROM table_name
WHERE column_name LIKE pattern
LIKE Operator Example
The "Persons" table:
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
Now we want to select the persons living in a city that starts
with "s" from the table above.
We use the following SELECT statement:
SELECT * FROM Persons
WHERE City LIKE 's%'
WHERE City LIKE 's%'
The "%" sign can be used to define wildcards (missing
letters in the pattern) both before and after the pattern.
The result-set will look like this:
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
Next, we want to select the persons living in a city that ends
with an "s" from the "Persons" table.
We use the following SELECT statement:
SELECT * FROM Persons
WHERE City LIKE '%s'
WHERE City LIKE '%s'
The result-set will look like this:
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
Next, we want to select the persons living in a city that contains
the pattern "tav" from the "Persons" table.
We use the following SELECT statement:
SELECT * FROM Persons
WHERE City LIKE '%tav%'
WHERE City LIKE '%tav%'
The result-set will look like this:
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
3
|
Pettersen
|
Kari
|
Storgt 20
|
Stavanger
|
It is also possible to select the persons living in a city that
does NOT contain the pattern "tav" from the "Persons"
table, by using the NOT keyword.
We use the following SELECT statement:
SELECT * FROM Persons
WHERE City NOT LIKE '%tav%'
WHERE City NOT LIKE '%tav%'
The result-set will look like this:
P_Id
|
LastName
|
FirstName
|
Address
|
City
|
1
|
Hansen
|
Ola
|
Timoteivn 10
|
Sandnes
|
2
|
Svendson
|
Tove
|
Borgvn 23
|
Sandnes
|
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