조건에 따라 데이터의 카테고리를 나누는 복잡한 쿼리를 작성할 때 빛을 발합니다. 예를 들어,
첫 단어의 색상, 모양, 움직임 등 다양한 조건에 따라 레코드를 분류하고 조건별 레코드 수를
파악하는 쿼리를 가정해봅시다. 다음과 같이
IN
연산자와 텍스트 파싱, 텍스트 변환, 패턴 매
칭을 조합하면 코드가 더 간결해지고 가독성도 좋아집니다.
SELECT
case
when
lower
(first_word)
in
(‘red’,’orange’,’yellow’,’green’,
‘blue’,’purple’,’white’)
then
‘Color’
when
lower
(first_word)
in
(‘round’,’circular’,’oval’,’cigar’)
then
‘Shape’
when
first_word
ilike
‘triang%’
then
‘Shape’
when
first_word
ilike
‘flash%’
then
‘Motion’
when
first_word
ilike
‘hover%’
then
‘Motion’
when
first_word
ilike
‘pulsat%’
then
‘Motion’
else
‘Other’
end
as
first_word_type ...
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