Depuis Oracle 12, vous pouvez utiliser MATCH_RECOGNIZE
:
SELECT cat,
month,
COUNT(*)
FROM (
SELECT t.*,
TRUNC( "DATE", 'MM' ) AS month
FROM table_name t
)
MATCH_RECOGNIZE(
PARTITION BY cat, month
ORDER BY "DATE", version
ONE ROW PER MATCH
AFTER MATCH SKIP TO LAST change_code
PATTERN ( strt change_code )
DEFINE
change_code AS change_code.some_code <> strt.some_code
)
GROUP BY cat, month
Qui, pour les exemples de données :
CREATE TABLE table_name ( CAT, NR, "DATE", VERSION, SOME_CODE ) AS
SELECT 'ABC', 123, TIMESTAMP '2009-02-19 00:00:00 UTC', 1, 'OPP' FROM DUAL UNION ALL
SELECT 'ABC', 456, TIMESTAMP '2009-03-18 00:00:00 UTC', 1, 'ZUM' FROM DUAL UNION ALL
SELECT 'ABC', 444, TIMESTAMP '2009-03-18 00:00:00 UTC', 1, 'ZUM' FROM DUAL UNION ALL
SELECT 'ABC', 444, TIMESTAMP '2009-03-18 00:00:00 UTC', 2, 'MUZ' FROM DUAL UNION ALL
SELECT 'ABC', 456, TIMESTAMP '2009-04-18 00:00:00 UTC', 2, 'XXX' FROM DUAL UNION ALL
SELECT 'ABC', 456, TIMESTAMP '2009-04-18 00:00:00 UTC', 3, 'XXX' FROM DUAL UNION ALL
SELECT 'ABC', 456, TIMESTAMP '2009-04-18 00:00:00 UTC', 4, 'UIO' FROM DUAL UNION ALL
SELECT 'ABC', 456, TIMESTAMP '2009-05-18 00:00:00 UTC', 5, 'RQA' FROM DUAL UNION ALL
SELECT 'DEF', 637, TIMESTAMP '2018-02-16 00:00:00 UTC', 1, 'FAW' FROM DUAL UNION ALL
SELECT 'DEF', 789, TIMESTAMP '2018-02-17 00:00:00 UTC', 1, 'WER' FROM DUAL UNION ALL
SELECT 'GHI', 248, TIMESTAMP '2018-02-17 00:00:00 UTC', 1, 'QWE' FROM DUAL UNION ALL
SELECT 'GHI', 248, TIMESTAMP '2019-02-17 00:00:00 UTC', 2, 'PPP' FROM DUAL UNION ALL
SELECT 'GHI', 357, TIMESTAMP '2020-02-16 00:00:00 UTC', 1, 'FFF' FROM DUAL UNION ALL
SELECT 'GHI', 420, TIMESTAMP '2020-02-16 00:00:00 UTC', 1, 'QDS' FROM DUAL UNION ALL
SELECT 'GHI', 357, TIMESTAMP '2020-02-16 00:00:00 UTC', 2, 'GGG' FROM DUAL UNION ALL
SELECT 'GHI', 357, TIMESTAMP '2020-02-16 00:00:00 UTC', 3, 'LLL' FROM DUAL UNION ALL
SELECT 'GHI', 357, TIMESTAMP '2020-02-16 00:00:00 UTC', 4, 'LLL' FROM DUAL UNION ALL
SELECT 'GHI', 357, TIMESTAMP '2020-08-16 00:00:00 UTC', 4, 'FFF' FROM DUAL UNION ALL
SELECT 'GHI', 357, TIMESTAMP '2020-10-16 00:00:00 UTC', 5, 'ZZZ' FROM DUAL
Sorties :
Si vous souhaitez voir les modifications, vous pouvez utiliser :
SELECT *
FROM (
SELECT t.*,
TRUNC( "DATE", 'MM' ) AS month
FROM table_name t
)
MATCH_RECOGNIZE(
PARTITION BY cat, month
ORDER BY "DATE", version
MEASURES
MATCH_NUMBER() AS mn,
FIRST( some_code ) AS change_from,
LAST( some_code ) AS change_to
ONE ROW PER MATCH
AFTER MATCH SKIP TO LAST change_code
PATTERN ( strt change_code )
DEFINE
change_code AS change_code.some_code <> strt.some_code
)
Qui sort :
db<>violon ici
Si votre exigence pour "dans un mois" est que vous voulez des changements où il y a au plus un mois de différence entre la ligne précédente et la ligne modifiée, même si les lignes sont dans deux mois calendaires différents (plutôt que seulement les changements qui se produisent dans le même mois calendaire), vous pouvez alors utiliser :
SELECT cat,
TRUNC( change_date, 'MM' ) AS month,
COUNT(*)
FROM table_name
MATCH_RECOGNIZE(
PARTITION BY cat
ORDER BY "DATE", version
MEASURES
LAST( "DATE" ) AS change_date
ONE ROW PER MATCH
AFTER MATCH SKIP TO LAST change_code
PATTERN ( strt change_code )
DEFINE
change_code AS (
change_code.some_code <> strt.some_code
AND MONTHS_BETWEEN( change_code."DATE", strt."DATE" ) <= 1
)
)
GROUP BY cat, TRUNC( change_date, 'MM' )
Qui sort :
db<>violon ici