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3.5 KiB
3.5 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 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| sql-left-join | SQL Left Join | Database | draft | conceptual |
|
B | 0.9 | 2026-07-04 | 2026-07-04 |
|
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SQL Left Join
🎯 한 줄 통찰 (One-line insight)
LEFT JOIN keeps every row from the left table regardless of a match, filling unmatched right-table columns with NULL — making it the tool for "find rows with no match" queries. [S1]
🧠 핵심 개념 (Core concepts)
- LEFT JOIN — returns all rows from the left table (table1), and only the matched rows from the right table (table2); unmatched right-side columns become NULL. [S1]
- LEFT JOIN == LEFT OUTER JOIN — the
OUTERkeyword is optional and does not change behavior. [S1] - Syntax —
SELECT column_name(s) FROM table1 LEFT JOIN table2 ON table1.column_name = table2.column_name;. [S1]
🧩 추출된 패턴 (Extracted patterns)
- NULL-filter for anti-join — adding
WHERE Orders.CustomerID IS NULLafter a LEFT JOIN isolates rows from the left table that have NO match in the right table (e.g. customers who never placed an order) — a common "anti-join" pattern. [S1]
📖 세부 내용 (Details)
- All customers with their orders, including customers with none:
SELECT Customers.CustomerName, Orders.OrderID FROM Customers LEFT JOIN Orders ON Customers.CustomerID = Orders.CustomerID ORDER BY Customers.CustomerName;. [S1] - Customers with NO orders (anti-join via NULL filter):
SELECT Customers.CustomerName, Orders.OrderID FROM Customers LEFT JOIN Orders ON Customers.CustomerID = Orders.CustomerID WHERE Orders.CustomerID IS NULL;. [S1]
⚖️ 모순 및 업데이트 (Contradictions & updates)
소스에서 모순되는 정보는 발견되지 않음.
🛠️ 적용 사례 (Applied in summary)
현재 발견된 실제 적용 사례가 없습니다 — "주문 없는 고객 찾기" 패턴은 실무에서 흔한 리포팅 쿼리 형태다. [S1]
💻 코드 패턴 (Code patterns)
All rows from left table (SQL):
SELECT Customers.CustomerName, Orders.OrderID
FROM Customers
LEFT JOIN Orders ON Customers.CustomerID = Orders.CustomerID
ORDER BY Customers.CustomerName;
Anti-join: left rows with no right match (SQL):
SELECT Customers.CustomerName, Orders.OrderID
FROM Customers
LEFT JOIN Orders
ON Customers.CustomerID = Orders.CustomerID
WHERE Orders.CustomerID IS NULL;
✅ 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 Joins, SQL Inner Join, SQL Right Join, SQL Null Values
- 참조 맥락: 왼쪽 테이블의 모든 행을 보존해야 하는 리포팅/anti-join 쿼리의 기본 도구.
📚 출처 (Sources)
- [S1] W3Schools — SQL LEFT JOIN — https://www.w3schools.com/sql/sql_join_left.asp
📝 변경 이력 (Change history)
- 2026-07-04: Initial draft synthesized from the W3Schools "SQL LEFT JOIN" page (Astra wiki-curation, P-Reinforce v3.1 format).