Oracle PL/SQL/Regular Expressions/REGEXP LIKE
Содержание
- 1 regexp_like(comments, "([[:alnum:]+[:punct:]]+space:+){8,}")
- 2 REGEXP_LIKE(first_name, "^j", "i"): First name starts with J or j
- 3 REGEXP_LIKE: The LIKE predicate has an regular expression counterpart
- 4 REGEXP_LIKE(TO_CHAR(start_date, "YYYY"), "^199[5-8]$")
- 5 Use the negating caret: REGEXP_LIKE(description,"[^mn]")
regexp_like(comments, "([[:alnum:]+[:punct:]]+space:+){8,}")
<source lang="sql">
SQL> SQL> create table history
2 ( empno NUMBER(4) 3 , beginyear NUMBER(4) 4 , begindate DATE 5 , enddate DATE 6 , deptno NUMBER(2) 7 , sal NUMBER(6,2) 8 , comments VARCHAR2(60) 9 , constraint H_PK primary key(empno,begindate) 10 , constraint H_BEG_END check (begindate < enddate) 11 ) ;
Table created. SQL> SQL> SQL> alter session set NLS_DATE_FORMAT="DD-MM-YYYY"; Session altered. SQL> SQL> insert into history values (1,2000,"01-01-2000","01-02-2000",40, 950,""); 1 row created. SQL> insert into history values (1,2000,"01-02-2000", NULL ,20, 800,"restarted"); 1 row created. SQL> insert into history values (2,2009,"01-11-2009", NULL ,30,1600,"just hired"); 1 row created. SQL> insert into history values (3,1987,"01-08-1987","01-01-1989",30,1000,"On training"); 1 row created. SQL> insert into history values (3,2000,"01-02-2000", NULL ,30,1250,""); 1 row created. SQL> SQL> select comments
2 from history 3 where regexp_like(comments, "([[:alnum:]+[:punct:]]+space:+){8,}");
no rows selected SQL> SQL> drop table history; Table dropped.
</source>
REGEXP_LIKE(first_name, "^j", "i"): First name starts with J or j
<source lang="sql">
SQL> SQL> -- create demo table SQL> create table Employee(
2 ID VARCHAR2(4 BYTE) NOT NULL, 3 First_Name VARCHAR2(10 BYTE), 4 Last_Name VARCHAR2(10 BYTE), 5 Start_Date DATE, 6 End_Date DATE, 7 Salary Number(8,2), 8 City VARCHAR2(10 BYTE), 9 Description VARCHAR2(15 BYTE) 10 ) 11 /
Table created. SQL> SQL> -- prepare data SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values ("01","Jason", "Martin", to_date("19960725","YYYYMMDD"), to_date("20060725","YYYYMMDD"), 1234.56, "Toronto", "Programmer")
3 /
1 row created. SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("02","Alison", "Mathews", to_date("19760321","YYYYMMDD"), to_date("19860221","YYYYMMDD"), 6661.78, "Vancouver","Tester")
3 /
1 row created. SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("03","James", "Smith", to_date("19781212","YYYYMMDD"), to_date("19900315","YYYYMMDD"), 6544.78, "Vancouver","Tester")
3 /
1 row created. SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("04","Celia", "Rice", to_date("19821024","YYYYMMDD"), to_date("19990421","YYYYMMDD"), 2344.78, "Vancouver","Manager")
3 /
1 row created. SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("05","Robert", "Black", to_date("19840115","YYYYMMDD"), to_date("19980808","YYYYMMDD"), 2334.78, "Vancouver","Tester")
3 /
1 row created. SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("06","Linda", "Green", to_date("19870730","YYYYMMDD"), to_date("19960104","YYYYMMDD"), 4322.78,"New York", "Tester")
3 /
1 row created. SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("07","David", "Larry", to_date("19901231","YYYYMMDD"), to_date("19980212","YYYYMMDD"), 7897.78,"New York", "Manager")
3 /
1 row created. SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("08","James", "Cat", to_date("19960917","YYYYMMDD"), to_date("20020415","YYYYMMDD"), 1232.78,"Vancouver", "Tester")
3 /
1 row created. SQL> SQL> SQL> SQL> -- display data in the table SQL> select * from Employee
2 /
ID FIRST_NAME LAST_NAME START_DAT END_DATE SALARY CITY DESCRIPTION
---------- ---------- --------- --------- ---------- ---------- ---------------
01 Jason Martin 25-JUL-96 25-JUL-06 1234.56 Toronto Programmer 02 Alison Mathews 21-MAR-76 21-FEB-86 6661.78 Vancouver Tester 03 James Smith 12-DEC-78 15-MAR-90 6544.78 Vancouver Tester 04 Celia Rice 24-OCT-82 21-APR-99 2344.78 Vancouver Manager 05 Robert Black 15-JAN-84 08-AUG-98 2334.78 Vancouver Tester 06 Linda Green 30-JUL-87 04-JAN-96 4322.78 New York Tester 07 David Larry 31-DEC-90 12-FEB-98 7897.78 New York Manager 08 James Cat 17-SEP-96 15-APR-02 1232.78 Vancouver Tester 8 rows selected. SQL> SQL> SQL> -- First name starts with J or j SQL> SELECT id, first_name, last_name
2 FROM employee 3 WHERE REGEXP_LIKE(first_name, "^j", "i");
ID FIRST_NAME LAST_NAME
---------- ----------
01 Jason Martin 03 James Smith 08 James Cat SQL> SQL> SQL> SQL> -- clean the table SQL> drop table Employee
2 /
Table dropped. SQL> SQL>
</source>
REGEXP_LIKE: The LIKE predicate has an regular expression counterpart
<source lang="sql">
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> SQL> --Asking for the presence of a "g" or a "p". The "%" sign metacharacter matches zero, one, or more - SQL> --characters and here is used before and after the letter we seek. SQL> SQL> --The LIKE predicate has an RE counterpart using bracket classes that is simpler. SQL> SQL> SELECT description
2 FROM testTable 3 WHERE REGEXP_LIKE(description,"[mn]");
DESCRIPTION
1 Culloden Street One than another SQL> SQL> SQL> SQL> SQL> drop table TestTable; Table dropped. SQL> SQL>
</source>
REGEXP_LIKE(TO_CHAR(start_date, "YYYY"), "^199[5-8]$")
<source lang="sql">
SQL> SQL> -- create demo table SQL> create table Employee(
2 ID VARCHAR2(4 BYTE) NOT NULL, 3 First_Name VARCHAR2(10 BYTE), 4 Last_Name VARCHAR2(10 BYTE), 5 Start_Date DATE, 6 End_Date DATE, 7 Salary Number(8,2), 8 City VARCHAR2(10 BYTE), 9 Description VARCHAR2(15 BYTE) 10 ) 11 /
Table created. SQL> SQL> -- prepare data SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values ("01","Jason", "Martin", to_date("19960725","YYYYMMDD"), to_date("20060725","YYYYMMDD"), 1234.56, "Toronto", "Programmer")
3 /
1 row created. SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("02","Alison", "Mathews", to_date("19760321","YYYYMMDD"), to_date("19860221","YYYYMMDD"), 6661.78, "Vancouver","Tester")
3 /
1 row created. SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("03","James", "Smith", to_date("19781212","YYYYMMDD"), to_date("19900315","YYYYMMDD"), 6544.78, "Vancouver","Tester")
3 /
1 row created. SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("04","Celia", "Rice", to_date("19821024","YYYYMMDD"), to_date("19990421","YYYYMMDD"), 2344.78, "Vancouver","Manager")
3 /
1 row created. SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("05","Robert", "Black", to_date("19840115","YYYYMMDD"), to_date("19980808","YYYYMMDD"), 2334.78, "Vancouver","Tester")
3 /
1 row created. SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("06","Linda", "Green", to_date("19870730","YYYYMMDD"), to_date("19960104","YYYYMMDD"), 4322.78,"New York", "Tester")
3 /
1 row created. SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("07","David", "Larry", to_date("19901231","YYYYMMDD"), to_date("19980212","YYYYMMDD"), 7897.78,"New York", "Manager")
3 /
1 row created. SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("08","James", "Cat", to_date("19960917","YYYYMMDD"), to_date("20020415","YYYYMMDD"), 1232.78,"Vancouver", "Tester")
3 /
1 row created. SQL> SQL> SQL> SQL> -- display data in the table SQL> select * from Employee
2 /
ID FIRST_NAME LAST_NAME START_DAT END_DATE SALARY CITY DESCRIPTION
---------- ---------- --------- --------- ---------- ---------- ---------------
01 Jason Martin 25-JUL-96 25-JUL-06 1234.56 Toronto Programmer 02 Alison Mathews 21-MAR-76 21-FEB-86 6661.78 Vancouver Tester 03 James Smith 12-DEC-78 15-MAR-90 6544.78 Vancouver Tester 04 Celia Rice 24-OCT-82 21-APR-99 2344.78 Vancouver Manager 05 Robert Black 15-JAN-84 08-AUG-98 2334.78 Vancouver Tester 06 Linda Green 30-JUL-87 04-JAN-96 4322.78 New York Tester 07 David Larry 31-DEC-90 12-FEB-98 7897.78 New York Manager 08 James Cat 17-SEP-96 15-APR-02 1232.78 Vancouver Tester 8 rows selected. SQL> SQL> SQL> SQL> SELECT id, first_name, last_name, start_date
2 FROM employee 3 WHERE REGEXP_LIKE(TO_CHAR(start_date, "YYYY"), "^199[5-8]$");
ID FIRST_NAME LAST_NAME START_DAT
---------- ---------- ---------
01 Jason Martin 25-JUL-96 08 James Cat 17-SEP-96 SQL> SQL> SQL> SQL> SQL> -- clean the table SQL> drop table Employee
2 /
Table dropped. SQL> SQL>
</source>
Use the negating caret: REGEXP_LIKE(description,"[^mn]")
<source lang="sql">
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> -- Use the negating caret: SQL> SQL> SELECT * FROM testTable WHERE REGEXP_LIKE(description,"[^mn]"); 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> SELECT * FROM testTable WHERE REGEXP_LIKE(description,"[mn]"); ID DESCRIPTION
------------------------------
2 1 Culloden Street 5 One than another SQL> SQL> SQL> SQL> drop table TestTable; Table dropped. SQL>
</source>
