"오라클 정규식"의 두 판 사이의 차이
DB CAFE
(→REGEXP_SUBSTR) |
(→REGEXP_SUBSTR) |
||
87번째 줄: | 87번째 줄: | ||
<source lang=sql> | <source lang=sql> | ||
− | + | — |으로 구분자 나누기 | |
SELECT distinct regexp_substr(A.TXT, '[^|]+', 1, LEVEL) TXT | SELECT distinct regexp_substr(A.TXT, '[^|]+', 1, LEVEL) TXT | ||
FROM (SELECT 'A|B|C|D' TXT FROM dual) A | FROM (SELECT 'A|B|C|D' TXT FROM dual) A |
2022년 1월 10일 (월) 16:08 판
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- DBA { Oracle DBA 명령어 > DBA 초급 과정 > DBA 고급 과정 }
- 튜닝 { 오라클 튜닝 목록 }
- 모델링 { 데이터 모델링 가이드 }
2 정규식 예시[편집]
2.1 REGEXP_REPLACE[편집]
- replacement_string
- Optional. Matched patterns will be replaced with replacement_string in string. If the replacement_string parameter is omitted, the function simply removes all matched patterns, and returns the resulting string.
- start_position
- Optional. It is the position in string where the search will start. If omitted, it defaults to 1 which is the first position in the string.
- nth_appearance
- Optional. It is the nth appearance of pattern in string. If omitted, it defaults to 1 which is the first appearance of pattern in string. If you specify 0 for this parameter, all appearances of pattern will be replaced in string.
- match_parameter
- Optional. It allows you to modify the matching behavior for the REGEXP_REPLACE function.
WITH T AS (
SELECT '김, 수 영' NAME FROM DUAL
UNION ALL SELECT 'KIM/SUYOUNG' FROM DUAL
UNION ALL SELECT 'KIM suYOUNG' FROM DUAL
UNION ALL SELECT 'KIM su YOUNG' FROM DUAL
UNION ALL SELECT 'KIM su,YOUNG' FROM DUAL
UNION ALL SELECT 'KIM,su/YOUNG' FROM DUAL
UNION ALL SELECT '김 수한무 거북이와 두루미 삼천갑자 동방석' FROM DUAL
UNION ALL SELECT 'lee dkd dkdk dkdkd kd dkdkdkd 1 2 2' FROM DUAL
)
SELECT REGEXP_SUBSTR(NAME, '[^ /,]+', 1) 성
, REGEXP_REPLACE(NAME, '([^ /,]+)([^가-힣a-zA-Z]+)([^/,-]+)', '\3\4\5') 이름
FROM T;
2.2 REGEXP_SUBSTR[편집]
— |으로 구분자 나누기
SELECT distinct regexp_substr(A.TXT, '[^|]+', 1, LEVEL) TXT
FROM (SELECT 'A|B|C|D' TXT FROM dual) A
CONNECT BY LEVEL <= length(regexp_replace(A.TXT, '[^|]+',''))+1
;
SELECT REGEXP_SUBSTR('test@domain.com', '[^@]+', 1, 1) AS EMAIL_ID
, REGEXP_SUBSTR('test@domain.com', '[^@]+', 1, 2) AS EMAIL_DOMAIN
FROM REG_EXP_TEST
- COLUMN TO ROW (컬럼 => 로우)
SELECT TRIM(REGEXP_SUBSTR('02,031,032','[^,]+',1,LEVEL)) AS LIST_TO_ROW
FROM DUAL
CONNECT BY INSTR('02,031,032', ',', 1, LEVEL-1 ) > 0
2.3 REGEXP_LIKE[편집]
WITH TEMP_TABLE AS (
SELECT 'Samsung Galaxy Note 4' TEXT FROM dual union all
SELECT 'Apple iPhone 6 Plus' TEXT FROM dual union all
SELECT 'Samsung Galaxy S5' TEXT FROM dual union all
SELECT 'Apple iPhone 6' TEXT FROM dual union all
SELECT 'LG G3' TEXT FROM dual union all
SELECT 'SonyXperia Z3' TEXT FROM dual union all
SELECT 'Motorola Moto G' TEXT FROM dual union all
SELECT 'HTC One M8' TEXT FROM dual union all
SELECT 'Nokia Lumia 930' TEXT FROM dual
)
SELECT *
FROM TEMP_TABLE
WHERE REGEXP_LIKE(TEXT, 'Samsung|Apple|Nokia')
- 다건 검사
REGEXP_LIKE(TOBE_COL_NM, '_AMT|_AMT2|_CPM|_PNT|_QTY|_RT|_VAT')