您可以使用
LAG/
LEAD解析函数比较上一行和下一行，以确定它们是否在当前行的一分钟之内：
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_datesFROM ( SELECt num_cars, equipment_type, location, sold_date, CASE WHEN within_minute_of_prev = 1 OR within_minute_of_next = 1 THEN SUM( CASE WHEN within_minute_of_prev = 0 AND within_minute_of_next = 1 THEN 1 ELSE 0 END ) OVER ( PARTITION BY location ORDER BY sold_date ) END AS grp FROM ( SELECt c.*,CASEWHEN ( sold_date - LAG( sold_date ) OVER ( PARTITION BY location ORDER BY sold_date ) ) DAY TO SECOND <= INTERVAL '1' MINUTETHEN 1ELSE 0END AS within_minute_of_prev,CASEWHEN ( LEAD( sold_date ) OVER ( PARTITION BY location ORDER BY sold_date ) - sold_date ) DAY TO SECOND <= INTERVAL '1' MINUTETHEN 1ELSE 0END AS within_minute_of_next FROM car_sales c ))WHERe grp IS NOT NULLGROUP BY location, grp;
其中，对于您的示例数据：
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 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;
输出：
位置| EQUIPMENT_TYPES | SOLD_DATES ：--------- | ：----------------------- | ：-------------------------考文垂| 流浪者，流浪者| 10：00：12,10：00：45 利明顿| 流浪者，Trans Am，Trans Am | 13：10：13,13：10：25,13：10：48利明顿| Trans Am，流浪者，护卫舰| 08：59：45,09：00：00,09：00：10
db
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更新
一个简短得多的Oracle 12c查询使用
MATCH_RECOGNIZE：
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_timesFROM car_salesMATCH_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, mnoORDER BY location, mno;
其中，对于测试数据：
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;
输出：
``` LOCATION EQUIPMENT_TYPES SOLD_DATES coventry Rovers,Rovers 10:00:12,10:00:45 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
db
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