[SQL]1 - select / from / where / group by μ—°μŠ΅

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πŸ™‹β€β™€οΈ λ‚˜μ΄λŒ€λ³„λ‘œ 2024λ…„ 12월에 총 μ–Όλ§ˆλ₯Ό μ‚¬μš©ν–ˆλŠ”μ§€ μ‘°νšŒν•˜μ‹œμ˜€.

select
floor(age / 10) * 10 as age_group,
sum(order_value) as total,
from `test.dummy`
where extract(year from order_date) = 2024
and extract(month from order_date) = 12

group by 1

group byλŠ” λ‚΄κ°€ μ›ν•˜λŠ” κΈ°μ€€μœΌλ‘œ 데이터λ₯Ό κ·Έλ£Ήν™” μ‹œν‚¨λ‹€.
μœ„μ—μ„  λ‚˜μ΄λŒ€ λ³„λ‘œ 그루핑해 ν† νƒˆ κΈˆμ•‘μ„ λ”°μ Έλ΄„ !

πŸ™‹β€β™€οΈ μ§€μ—­λ³„λ‘œ 2023년에 λ°œμƒν•œ 총 μ£Όλ¬Έ κΈˆμ•‘μ„ λ‚΄λ¦Όμ°¨μˆœμœΌλ‘œ μ •λ ¬ν•˜μ—¬ μ‘°νšŒν•˜μ‹œμ˜€.

select 
region as region_,
sum(order_date) as total,
from `test.dummy`
where 2023-01-01 between 2023-01-31

group by 1

μ•„ between 문법이 ν‹€λ Έκ΅°..

select 
region,
sum(order_value) as total
from `test.dummy`
where order_date between '2023-01-01' and '2023-01-31'

group by 1
order by 2 desc

πŸ™‹β€β™€οΈ 각 μ‚¬μš©μžκ°€ 2024λ…„ λ™μ•ˆ λͺ‡ 건의 주문을 ν–ˆλŠ”μ§€ μ‘°νšŒν•˜μ‹œμ˜€.

select 
  user_id,
  count(*) as order_count,
from `test.dummy`
where extract(year from order_date) = 2024

group by 1
order by 2 desc

count(*) as order_count -> 이 ν•¨μˆ˜λ₯Ό λͺ°λžλ‹€.
1.μœ μ €μ•„μ΄λ”” λ³„λ‘œ κ·Έλ£Ήν™”λ₯Ό μ‹œμΌ°λ‹€.
2.아이디 λ³„λ‘œ 2024 결제건이 묢인닀.
3.κ·Έλ£Ήλ³„λ‘œ λͺ‡κ°œμ˜ 행이 μžˆλŠ”μ§€ λ°˜ν™˜ν•œλ‹€.

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