The idea here is:
for each value of balancetype, extract all the values from periodbal column, convert them in separate rows and then calculate maximum for each row's balancetype value.
i.e.
PERIODBAL BALANCETYPE ID
0 ABS 1
15 ABS 1
11 ABS 1
-13 ABS 1
-16 ABS 1
20 ABS 1
SPLIT FOR ROW#2
22 ABS 2
25 ABS 2
-78 ABS 2
0 ABS 2
1 ABS 2
......
FINALLY, FETCH MAX(PERIODBAL) and group the data by columns balancetype, ID
CREATE TABLE SYS.TEST
(
PERIODBAL VARCHAR2(50 BYTE),
BALANCETYPE VARCHAR2(5 BYTE)
)
INSERT INTO TEST VALUES ('0;15;11;-13;-16;20', 'ABS');
INSERT INTO TEST VALUES ('22;25;-78;0;1', 'ABS');
INSERT INTO TEST VALUES ('67;89;-36;83;90;55 ', 'ABS');
INSERT INTO TEST VALUES ('0;15;10;-13;-16;23', 'ACS');
INSERT INTO TEST VALUES ('0;14;11;-13;-16;25', 'ACS');
solution:
SELECT BALANCETYPE,MAX(BAL) AS PERIODBAL
FROM
(
SELECT SUB1.*, TRIM(REGEXP_SUBSTR( PERIODBAL, '[^;]+', 1, LVL)) BAL
FROM (SELECT TEST.*, ROW_NUMBER() OVER (ORDER BY BALANCETYPE ) UNIQ_ID FROM TEST) SUB1 ,
(SELECT LEVEL LVL FROM DUAL,(SELECT MAX(LENGTH(REGEXP_REPLACE(PERIODBAL, '[^;]+')))+1 AS MAX_BAL FROM TEST) TEMP
CONNECT BY LEVEL<= TEMP.MAX_BAL ) SUB2
WHERE LENGTH(REGEXP_REPLACE(PERIODBAL, '[^;]+'))+1>= SUB2.LVL
) GROUP BY BALANCETYPE, UNIQ_ID
output:
BALANCETYPE PERIODBAL
ACS 23
ABS 20
ABS 25
ABS 90
ACS 25
Hope it helped, Thanks.