Create the accounts table and insert data into it.
CREATE TABLE accounts (
accno NUMBER,
accname VARCHAR2(20),
open_dt DATE,
acctype VARCHAR2(1)
);
INSERT INTO accounts values (101,'John Smith', SYSDATE - 500, 'S');
INSERT INTO accounts values (102,'Jane Smith', SYSDATE - 400, 'S');
INSERT INTO accounts values (103,'John Doe', SYSDATE - 300, 'C');
INSERT INTO accounts values (104,'John Doe', SYSDATE - 450, 'S');
INSERT INTO accounts values (105,'Jane Doe', SYSDATE - 200, 'C');
CREATE TABLE transactions
(
trans_id NUMBER,
accno NUMBER,
trans_type VARCHAR2(1),
trans_dt DATE,
trans_amt NUMBER,
trans_mode VARCHAR2(20)
);
INSERT INTO transactions VALUES (1,101, 'D', to_date('01-JAN-2025 12:32:37','DD-MON-YYYY HH24:MI:SS'), 1000, 'Check');
INSERT INTO transactions VALUES (2,101, 'D', to_date('01-FEB-2025 12:33:13','DD-MON-YYYY HH24:MI:SS'), 2000, 'ATM');
INSERT INTO transactions VALUES (3,101, 'W', to_date('01-MAR-2025 12:33:35','DD-MON-YYYY HH24:MI:SS'), 1500, 'Transfer');
INSERT INTO transactions VALUES (4,102, 'D', to_date('01-MAR-2025 12:43:35','DD-MON-YYYY HH24:MI:SS'), 1200, 'Check');
INSERT INTO transactions VALUES (5,102, 'W', to_date('01-MAR-2025 12:53:35','DD-MON-YYYY HH24:MI:SS'), 1100, 'Check');
INSERT INTO transactions VALUES (6,103, 'D', to_date('01-MAR-2025 13:33:35','DD-MON-YYYY HH24:MI:SS'), 2000, 'ATM');
INSERT INTO transactions VALUES (7,103, 'D', to_date('01-MAR-2025 12:43:35','DD-MON-YYYY HH24:MI:SS'), 2500, 'Check');
INSERT INTO transactions VALUES (8,103, 'W', to_date('01-MAR-2025 12:53:35','DD-MON-YYYY HH24:MI:SS'), 1000, 'Check');
CREATE TABLE HR.TDS_INFO
(
ACCNO NUMBER,
TDS_DATE DATE,
TDS_AMOUNT NUMBER
) TABLESPACE HR ;
Insert into TDS_INFO (ACCNO,TDS_DATE,TDS_AMOUNT) values (101,to_date('01-JAN-2025 12:32:37','DD-MON-YYYY HH24:MI:SS'),100);
Insert into TDS_INFO (ACCNO,TDS_DATE,TDS_AMOUNT) values (101,to_date('01-FEB-2025 12:33:13','DD-MON-YYYY HH24:MI:SS'),105);
Insert into TDS_INFO (ACCNO,TDS_DATE,TDS_AMOUNT) values (101,to_date('01-MAR-2025 12:33:35','DD-MON-YYYY HH24:MI:SS'),110);
Create Test Data for JSON_TRANSFORM
CREATE TABLE HR.TENNIS_STATS
( ID NUMBER,
FIRST_"name" VARCHAR2(100 BYTE),
LAST_"name" VARCHAR2(100 BYTE),
WORLD_RANKING NUMBER,
PLAYER_DATA CLOB
) TABLESPACE HR ;
--DELETE FROM TENNIS_STATS;
INSERT INTO TENNIS_STATS VALUES
(10001, 'Novak', 'Djokovic', 1, '{
"name": "Novak Djokovic",
"age": "38",
"hobbies": ["tennis", "hiking", "swimming"],
"address": {
"street": "123 Main St",
"city": "Anytown"
},
"isStudent": false,
"height": "6.1"
}');
INSERT INTO TENNIS_STATS VALUES
(10002, 'Rafael', 'Nadal', 2, '{
"name": "Rafael Nadal",
"age": "39",
"hobbies": ["tennis", "football", "swimming"],
"address": {
"street": "445 Side St",
"city": "Chinatown"
},
"isStudent": false,
"height": "5.11"
}');
INSERT INTO TENNIS_STATS VALUES
(10003, 'Roger', 'Federer', 3, '{
"name": "Roger Federer",
"age": "41",
"hobbies": ["tennis", "football", sking],
"address": {
"street": "326 Back St",
"city": "Swisstown"
},
"isStudent": false,
"height": "6.2"
}');
INSERT INTO TENNIS_STATS VALUES
(10004, 'Carlos', 'Alcaraz', 4, '{
"name": "Carlos Alcaraz",
"age": "22",
"hobbies": ["tennis", "football", trekking],
"address": {
"street": "553 Upper St",
"city": "Uptown"
},
"isStudent": false,
"height": "6.01"
}');
INSERT INTO TENNIS_STATS VALUES
(10005, 'Boris', 'Becker', 5, '{
"name": "Boris Becker",
"age": "55",
"hobbies": ["tennis", "football", commentry],
"address": {
"street": 725 Down St,
"city": "Downtown"
},
"isStudent": false,
"height": "6.05"
}');
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