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Orakel Wählen Sie Daten für Artikel aus, die innerhalb von 1 Minute verkauft wurden

Sie können LAG verwenden /LEAD Analysefunktionen zum Vergleichen der vorherigen und nächsten Zeilen, um festzustellen, ob sie sich innerhalb einer Minute von der aktuellen Zeile befinden:

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_dates
FROM   (
  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.*,
           CASE
           WHEN ( sold_date
                  - LAG( sold_date ) OVER ( PARTITION BY location ORDER BY sold_date )
                ) DAY TO SECOND
                <= INTERVAL '1' MINUTE
           THEN 1
           ELSE 0
           END AS within_minute_of_prev,
           CASE
           WHEN ( LEAD( sold_date ) OVER ( PARTITION BY location ORDER BY sold_date )
                  - sold_date
                ) DAY TO SECOND
                <= INTERVAL '1' MINUTE
           THEN 1
           ELSE 0
           END AS within_minute_of_next
    FROM   car_sales c
  )
)
WHERE grp IS NOT NULL
GROUP BY location, grp;

Was für Ihre Beispieldaten:

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;

Ausgaben:

db<>fiddle hier

Aktualisieren

Eine viel kürzere Oracle 12c-Abfrage verwendet 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_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;

Was für die Testdaten:

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;

Ausgaben:

db<>fiddle hier