--- id: python-mysql-join title: "Python MySQL Join" category: "Programming_Language" status: "draft" verification_status: "conceptual" canonical_id: "" aliases: ["파이썬 MySQL 조인"] duplicate_of: "" source_trust_level: "B" confidence_score: 0.9 created_at: 2026-07-04 updated_at: 2026-07-04 review_reason: "" merge_history: [] tags: ["python", "mysql", "w3schools", "join", "innerjoin", "leftjoin", "rightjoin"] raw_sources: ["https://www.w3schools.com/python/python_mysql_join.asp"] applied_in: [] github_commit: "" --- # [[Python MySQL Join]] ## 🎯 한 줄 통찰 (One-line insight) INNER JOIN silently drops users with no favorite product (Hannah, Michael) — the same rows only reappear if you switch to LEFT JOIN, making the choice of join type directly visible in which rows survive. [S1] ## 🧠 핵심 개념 (Core concepts) - **JOIN via raw SQL** — combining `users` and `products` tables on `users.fav = products.id`, executed through the same cursor pattern. [S1] - **INNER JOIN (default via JOIN)** — only matching rows in both tables; users with no favorite product are excluded. [S1] - **LEFT JOIN** — keeps ALL users, even those without a matching product (fav is NULL). [S1] - **RIGHT JOIN** — keeps ALL products, even those no user has favorited. [S1] ## 🧩 추출된 패턴 (Extracted patterns) - **Missing rows are the tell** — the source explicitly points out that Hannah and Michael (no favorite product) vanish under INNER/RIGHT JOIN but reappear under LEFT JOIN — a concrete way to verify which join type is actually in effect. [S1] ## 📖 세부 내용 (Details) - Sample data: `users` table has `fav` referencing `products.id`; some users (Hannah, Michael) have no `fav` value. [S1] - INNER JOIN: `sql = "SELECT users.name AS user, products.name AS favorite FROM users INNER JOIN products ON users.fav = products.id"` — excludes users with no favorite. [S1] - LEFT JOIN: same query with `LEFT JOIN` — includes ALL users, even without a favorite. [S1] - RIGHT JOIN: same query with `RIGHT JOIN` — includes ALL products, even unfavorited ones; still excludes favorite-less users. [S1] ## ⚖️ 모순 및 업데이트 (Contradictions & updates) 소스에서 모순되는 정보는 발견되지 않음. ## 🛠️ 적용 사례 (Applied in summary) 현재 발견된 실제 적용 사례가 없습니다 — SQL Inner/Left/Right Join 챕터에서 이미 배운 동작 차이를 실제 mysql.connector 쿼리로 재확인하는 문서다. [S1] ## 💻 코드 패턴 (Code patterns) LEFT JOIN to include unmatched rows (Python): ```python sql = "SELECT \ users.name AS user, \ products.name AS favorite \ FROM users \ LEFT JOIN products ON users.fav = products.id" mycursor.execute(sql) myresult = mycursor.fetchall() ``` ## ✅ 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:** [[Python Tutorial]] - **관련 개념:** [[SQL Inner Join]], [[SQL Left Join]], [[SQL Right Join]], [[Python MySQL Select]] - **참조 맥락:** SQL JOIN 동작 차이를 mysql.connector로 실증 — 사라지는/나타나는 행으로 join 유형을 검증할 수 있다. ## 📚 출처 (Sources) - [S1] W3Schools — Python MySQL Join — https://www.w3schools.com/python/python_mysql_join.asp ## 📝 변경 이력 (Change history) - 2026-07-04: Initial draft synthesized from the W3Schools "Python MySQL Join" page (Astra wiki-curation, P-Reinforce v3.1 format).