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CREATE TABLE CAR_SALES ( NUM_CARS, EQUIPMENT_TYPE, LOCATION, SOLD_DATE ) AS
SELECT 8, 'Rovers', 'coventry', DATE '2019-09-07' + INTERVAL '10:00:12' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 1, 'Rovers', 'coventry', DATE '2019-09-07' + INTERVAL '10:00:45' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 3, 'Rovers', 'coventry', DATE '2019-09-07' + INTERVAL '10:01:15' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 3, 'Rovers', 'coventry', DATE '2019-09-07' + INTERVAL '10:01:30' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 9, 'Jaguars', 'coventry', DATE '2019-09-07' + INTERVAL '06:00:00' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 7, 'Rovers', 'leamington', DATE '2019-08-30' + INTERVAL '13:10:13' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 10, 'Trans Am', 'leamington', DATE '2019-08-30' + INTERVAL '09:00:00' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 2, 'Trans Am', 'leamington', DATE '2019-08-30' + INTERVAL '13:10:48' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 8, 'Rovers', 'coventry', DATE '2019-09-06' + INTERVAL '18:00:00' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 4, 'Rovers', 'leamington', DATE '2019-09-06' + INTERVAL '09:00:00' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 100, 'Trans Am', 'leamington', DATE '2019-09-06' + INTERVAL '08:59:45' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 1, 'corvette', 'leamington', DATE '2019-09-06' + INTERVAL '09:00:10' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 2, 'Toyota', 'coventry', DATE '2019-09-06' + INTERVAL '10:00:00' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 15, 'Rovers', 'coventry', DATE '2019-09-07' + INTERVAL '11:05:00' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 2, 'Jaguars', 'coventry', DATE '2019-09-07' + INTERVAL '17:02:07' HOUR TO SECOND FROM DUAL UNION ALL
SELECT 3, 'Trans Am', 'leamington', DATE '2019-08-30' + INTERVAL '13:10:25' HOUR TO SECOND FROM DUAL;
16 rows affected
ALTER SESSION SET NLS_DATE_FORMAT = 'YYYY-MM-DD HH24:MI:SS'
SELECT location,
LISTAGG( equipment_type, ',' )
WITHIN GROUP ( ORDER BY sold_date )
AS equipment_types,
LISTAGG( TO_CHAR( sold_date, 'HH24:MI:SS' ), ',' )
WITHIN GROUP ( ORDER BY sold_date )
AS sold_times
FROM car_sales
MATCH_RECOGNIZE (
PARTITION BY location
ORDER BY sold_date
MEASURES
MATCH_NUMBER() AS mno
ALL ROWS PER MATCH
PATTERN (A B+)
DEFINE
B AS B.sold_date <= PREV(B.sold_date) + interval '1' minute
)
GROUP BY location, mno
ORDER BY location, mno;
| LOCATION | EQUIPMENT_TYPES | SOLD_TIMES |
|---|---|---|
| coventry | Rovers,Rovers,Rovers,Rovers | 10:00:12,10:00:45,10:01:15,10:01:30 |
| leamington | Rovers,Trans Am,Trans Am | 13:10:13,13:10:25,13:10:48 |
| leamington | Trans Am,Rovers,corvette | 08:59:45,09:00:00,09:00:10 |