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3.9 KiB
3.9 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-inner-join | SQL Inner Join | Database | draft | conceptual |
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B | 0.9 | 2026-07-04 | 2026-07-04 |
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SQL Inner Join
🎯 한 줄 통찰 (One-line insight)
INNER JOIN — the default join type, so plain JOIN means the same thing — returns only rows that have a match in both tables, discarding anything unmatched. [S1]
🧠 핵심 개념 (Core concepts)
- INNER JOIN — returns only rows that have matching values in both tables. [S1]
- JOIN == INNER JOIN —
JOINalone defaults toINNER JOIN; the parser treats them identically. [S1] - Syntax —
SELECT column_name(s) FROM table1 INNER JOIN table2 ON table1.column_name = table2.column_name;. [S1] - Multi-table INNER JOIN — more than two tables can be joined by chaining multiple
INNER JOINclauses. [S1]
🧩 추출된 패턴 (Extracted patterns)
- Table-name qualification is a good habit — prefixing column names with their table (
Products.ProductID) avoids ambiguity errors when the same column name (e.g.CategoryID) exists in both joined tables. [S1] - Unmatched rows silently vanish — a product with no
CategoryID, or with aCategoryIDabsent from the Categories table, is simply excluded from the result — a common footgun when INNER JOIN is used where LEFT JOIN was intended. [S1]
📖 세부 내용 (Details)
- Basic two-table join:
SELECT ProductID, ProductName, CategoryName FROM Products INNER JOIN Categories ON Products.CategoryID = Categories.CategoryID;. [S1] - Qualified column names to avoid ambiguity:
SELECT Products.ProductID, Products.ProductName, Categories.CategoryName FROM Products INNER JOIN Categories ON Products.CategoryID = Categories.CategoryID;. [S1] JOINis shorthand forINNER JOIN— both produce identical results. [S1]- Joining three tables:
FROM Orders INNER JOIN Customers ON Orders.CustomerID = Customers.CustomerID INNER JOIN Shippers ON Orders.ShipperID = Shippers.ShipperID;. [S1]
⚖️ 모순 및 업데이트 (Contradictions & updates)
소스에서 모순되는 정보는 발견되지 않음.
🛠️ 적용 사례 (Applied in summary)
현재 발견된 실제 적용 사례가 없습니다 — SQL Aliases 챕터의 테이블 별칭(c, o)이 INNER JOIN 예제에서도 그대로 재사용된다. [S1]
💻 코드 패턴 (Code patterns)
Two-table INNER JOIN (SQL):
SELECT Products.ProductID, Products.ProductName, Categories.CategoryName
FROM Products
INNER JOIN Categories ON Products.CategoryID = Categories.CategoryID;
Three-table INNER JOIN chain (SQL):
SELECT Orders.OrderID, Customers.CustomerName, Shippers.ShipperName
FROM Orders
INNER JOIN Customers ON Orders.CustomerID = Customers.CustomerID
INNER JOIN Shippers ON Orders.ShipperID = Shippers.ShipperID;
✅ 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 Left Join, SQL Aliases
- 참조 맥락: 매칭되는 행만 필요한 조인 쿼리의 기본 유형 — LEFT/RIGHT/FULL JOIN과 대비해서 이해해야 한다.
📚 출처 (Sources)
- [S1] W3Schools — SQL INNER JOIN — https://www.w3schools.com/sql/sql_join_inner.asp
📝 변경 이력 (Change history)
- 2026-07-04: Initial draft synthesized from the W3Schools "SQL INNER JOIN" page (Astra wiki-curation, P-Reinforce v3.1 format).