1cfd3bbb56
Topic_CSS/Topic_HTML/Topic_JavaScript/Topic_Prompt/Topic_Comfyui 등 기존 카테고리 폴더를 정리하고, Topic_Graphic/Dev 등 신규 산출물과 Topics 내부 세션/메모리 기록을 동기화.
3.2 KiB
3.2 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-full-join | SQL Full Join | Database | draft | conceptual |
|
B | 0.9 | 2026-07-04 | 2026-07-04 |
|
|
SQL Full Join
🎯 한 줄 통찰 (One-line insight)
FULL JOIN unions the behavior of LEFT and RIGHT JOIN — it keeps every row from both tables, filling NULL wherever the other side has no match, and can return very large result sets. [S1]
🧠 핵심 개념 (Core concepts)
- FULL JOIN — returns all rows when there is a match in either the left or right table. [S1]
- NULL-filling both sides — an unmatched left row gets NULLs for all right-table columns, and vice versa. [S1]
- FULL JOIN == FULL OUTER JOIN — the
OUTERkeyword is optional. [S1] - Syntax —
SELECT column_name(s) FROM table1 FULL JOIN table2 ON table1.column_name = table2.column_name WHERE condition;. [S1]
🧩 추출된 패턴 (Extracted patterns)
- Size warning — the source explicitly warns "FULL JOIN can potentially return very large result-sets!", making it something to use deliberately rather than by default. [S1]
📖 세부 내용 (Details)
- All customers and all orders together, whether or not they match:
SELECT Customers.CustomerName, Orders.OrderID FROM Customers FULL JOIN Orders ON Customers.CustomerID = Orders.CustomerID;. [S1] - Result includes rows with
CustomerName = Null(orders with no matching customer) and rows withOrderID = Null(customers with no orders). [S1]
⚖️ 모순 및 업데이트 (Contradictions & updates)
소스에서 모순되는 정보는 발견되지 않음.
🛠️ 적용 사례 (Applied in summary)
현재 발견된 실제 적용 사례가 없습니다 — 데이터 정합성 점검(양쪽 테이블 모두에서 누락된 레코드 찾기)에 전형적으로 쓰이는 조인 유형이다. [S1]
💻 코드 패턴 (Code patterns)
Full outer join (SQL):
SELECT Customers.CustomerName, Orders.OrderID
FROM Customers
FULL JOIN Orders
ON Customers.CustomerID = Orders.CustomerID;
✅ 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 Right Join
- 참조 맥락: 양쪽 테이블의 unmatched 행을 모두 보존해야 하는 데이터 정합성 점검 쿼리.
📚 출처 (Sources)
- [S1] W3Schools — SQL FULL JOIN — https://www.w3schools.com/sql/sql_join_full.asp
📝 변경 이력 (Change history)
- 2026-07-04: Initial draft synthesized from the W3Schools "SQL FULL JOIN" page (Astra wiki-curation, P-Reinforce v3.1 format).