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3.4 KiB
3.4 KiB
id, title, category, status, verification_status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, created_at, updated_at, review_reason, merge_history, tags, raw_sources, applied_in, github_commit
| id | title | category | status | verification_status | canonical_id | aliases | duplicate_of | source_trust_level | confidence_score | created_at | updated_at | review_reason | merge_history | tags | raw_sources | applied_in | github_commit | |||||||||
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| sql-sum | SQL Sum | Database | draft | conceptual |
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B | 0.9 | 2026-07-04 | 2026-07-04 |
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SQL Sum
🎯 한 줄 통찰 (One-line insight)
SUM() totals a numeric column, ignores NULLs, and can take an expression (not just a bare column) — including a value computed by joining in another table's price. [S1]
🧠 핵심 개념 (Core concepts)
- SUM() function — calculates the total sum of values within a numeric column; ignores NULL values. [S1]
- Syntax —
SELECT SUM(column_name) FROM table_name WHERE condition;. [S1] - SUM() with an expression — the argument can be an expression like
Quantity * 10, not just a column reference. [S1] - SUM() with GROUP BY — returns a sum per group. [S1]
🧩 추출된 패턴 (Extracted patterns)
- Join-then-sum for real totals — instead of assuming a flat unit price, joining the detail table to the actual
Productstable and summingPrice * Quantitygives the real total, illustrating that SUM() arguments can encode business logic via JOIN + expression. [S1]
📖 세부 내용 (Details)
- Basic sum:
SELECT SUM(Quantity) FROM OrderDetails;. [S1] - With WHERE:
SELECT SUM(Quantity) FROM OrderDetails WHERE ProductId = 11;. [S1] - With alias:
SELECT SUM(Quantity) AS total FROM OrderDetails;. [S1] - With GROUP BY:
SELECT OrderID, SUM(Quantity) AS [Total Quantity] FROM OrderDetails GROUP BY OrderID;. [S1] - With an expression:
SELECT SUM(Quantity * 10) FROM OrderDetails;. [S1] - With a JOIN for real prices:
SELECT SUM(Price * Quantity) FROM OrderDetails LEFT JOIN Products ON OrderDetails.ProductID = Products.ProductID;. [S1]
⚖️ 모순 및 업데이트 (Contradictions & updates)
소스에서 모순되는 정보는 발견되지 않음.
🛠️ 적용 사례 (Applied in summary)
현재 발견된 실제 적용 사례가 없습니다 — 매출/수량 합계 리포트의 기본 함수로, JOIN과 결합한 실제 매출 계산 예시가 소스에 직접 등장한다. [S1]
💻 코드 패턴 (Code patterns)
SUM with expression and JOIN (SQL):
SELECT SUM(Price * Quantity)
FROM OrderDetails
LEFT JOIN Products ON OrderDetails.ProductID = Products.ProductID;
✅ 검증 상태 및 신뢰도
- 상태: draft
- 검증 단계: conceptual
- 출처 신뢰도: B (W3Schools — widely used educational reference, not a primary standards body)
- 신뢰 점수: 0.90
- 중복 검사 결과: 신규 생성 (New discovery)
🔗 지식 그래프 (Knowledge Graph)
- 상위/루트: SQL Tutorial
- 관련 개념: SQL Aggregate Functions, SQL Group By, SQL Left Join
- 참조 맥락: 합계 리포트의 기본 함수 — 표현식·JOIN과 결합해 실제 매출/수량 계산에 쓰인다.
📚 출처 (Sources)
- [S1] W3Schools — SQL SUM() Function — https://www.w3schools.com/sql/sql_sum.asp
📝 변경 이력 (Change history)
- 2026-07-04: Initial draft synthesized from the W3Schools "SQL SUM() Function" page (Astra wiki-curation, P-Reinforce v3.1 format).