Caret ('^') may be either an anchor or a negating marker : NOT « Regular Expressions « Oracle PL / SQL






  1. Oracle PL / SQL
  2. Regular Expressions
  3. NOT

Caret ('^') may be either an anchor or a negating marker



SQL> create table TestTable(
  2    ID                    VARCHAR2(4 BYTE)         NOT NULL,
  3    Description           VARCHAR2(30 BYTE)
  4  )
  5  /

Table created.

SQL>
SQL>
SQL> insert into TestTable (ID, Description) values('1','1234 5th Street');

1 row created.

SQL> insert into TestTable (ID, Description) values('2','1 Culloden Street');

1 row created.

SQL> insert into TestTable (ID, Description) values('3','1234 Road');

1 row created.

SQL> insert into TestTable (ID, Description) values('4','33 Thrid Road');

1 row created.

SQL> insert into TestTable (ID, Description) values('5','One than another');

1 row created.

SQL> insert into TestTable (ID, Description) values('6','2003 Movie');

1 row created.

SQL> insert into TestTable (ID, Description) values('7','Start With Letters');

1 row created.

SQL>
SQL> select * from TestTable;

ID   DESCRIPTION
---- ------------------------------
1    1234 5th Street
2    1 Culloden Street
3    1234 Road
4    33 Thrid Road
5    One than another
6    2003 Movie
7    Start With Letters

7 rows selected.

SQL>
SQL>
SQL>
SQL>
SQL> -- Negating Carets
SQL>
SQL> -- Caret ('^') may be either an anchor or a negating marker.
SQL>
SQL> --Negate the string by placing a negating caret at the beginning of the string
SQL>
SQL> SELECT description
  2  FROM testTable
  3  WHERE REGEXP_LIKE(description,'[^o1]');

DESCRIPTION
------------------------------
1234 5th Street
1 Culloden Street
1234 Road
33 Thrid Road
One than another
2003 Movie
Start With Letters

7 rows selected.

SQL>
SQL>
SQL>
SQL>
SQL>
SQL> drop table TestTable;

Table dropped.

SQL>
SQL>








Related examples in the same category

1.Use the negating caret(not): REGEXP_LIKE(description,'[^mn]')
2.If we wanted a non-('g' or 'p') followed by something else like an 'l'
3.Match 'description' where there were no digits at all anywhere in the string