| title | REGEXP_LIKE (Transact-SQL) | |
|---|---|---|
| description | REGEXP_LIKE Returns a Boolean value that indicates whether the text input matches the regex pattern. | |
| author | MikeRayMSFT | |
| ms.author | mikeray | |
| ms.reviewer | abhtiwar, wiassaf, randolphwest | |
| ms.date | 12/31/2024 | |
| ms.service | sql | |
| ms.subservice | t-sql | |
| ms.topic | reference | |
| dev_langs |
|
|
| monikerRange | =azuresqldb-current || =fabric |
[!INCLUDE asdb-fabricsqldb]
[!INCLUDE preview]
Indicates if the regular expression pattern matches in a string.
REGEXP_LIKE
(
string_expression,
pattern_expression [, flags ]
)
[!INCLUDE regexp-string-expression]
[!INCLUDE regexp-pattern-expression]
[!INCLUDE regexp-flags-expression]
Boolean value. true or false.
Select all records from the EMPLOYEES table where the first name starts with A and ends with Y
SELECT * FROM EMPLOYEES WHERE REGEXP_LIKE (FIRST_NAME, '^A.*Y$'); Select all records from the ORDERS table where the order date is in February 2020.
SELECT * FROM ORDERS WHERE REGEXP_LIKE (ORDER_DATE, '2020-02-\d\d'); Select all records from the PRODUCTS table where the product name contains at least three consecutive vowels
SELECT * FROM PRODUCTS WHERE REGEXP_LIKE (PRODUCT_NAME, '[AEIOU]{3,}'); Create employees table with CHECK constraints for Email and Phone_Number columns.
DROP TABLE IF EXISTS EMPLOYEES;
CREATE TABLE EMPLOYEES (
ID INT IDENTITY(101,1),
[Name] VARCHAR(150),
Email VARCHAR(320)
CHECK (REGEXP_LIKE(Email, '^[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}$')),
Phone_Number NVARCHAR(20)
CHECK (REGEXP_LIKE (Phone_Number, '^(\d{3})-(\d{3})-(\d{4})$'))
);