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2.8 KiB
2.8 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 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| python-mysql-select | Python MySQL Select | Programming_Language | draft | conceptual |
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B | 0.9 | 2026-07-04 | 2026-07-04 |
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Python MySQL Select
🎯 한 줄 통찰 (One-line insight)
Running a SELECT doesn't itself return rows — the cursor must be drained with fetchall() (every row) or fetchone() (just the first row) after execute(). [S1]
🧠 핵심 개념 (Core concepts)
execute("SELECT * FROM customers")— runs the query. [S1]fetchall()— fetches ALL rows from the last executed statement. [S1]- Selecting specific columns —
SELECT name, address FROM customers. [S1] fetchone()— returns only the first row of the result. [S1]
📖 세부 내용 (Details)
- Select all, fetch all:
mycursor.execute("SELECT * FROM customers"); myresult = mycursor.fetchall(); for x in myresult: print(x). [S1] - Select specific columns:
mycursor.execute("SELECT name, address FROM customers"). [S1] - Fetch just one row:
myresult = mycursor.fetchone(); print(myresult). [S1]
⚖️ 모순 및 업데이트 (Contradictions & updates)
소스에서 모순되는 정보는 발견되지 않음.
🛠️ 적용 사례 (Applied in summary)
현재 발견된 실제 적용 사례가 없습니다 — Where/Order By/Limit 챕터에서 이 SELECT+fetch 패턴에 필터/정렬/제한이 추가된다. [S1]
💻 코드 패턴 (Code patterns)
Select and fetch all rows (Python):
mycursor.execute("SELECT * FROM customers")
myresult = mycursor.fetchall()
for x in myresult:
print(x)
✅ 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: Python MySQL Where, Python MySQL Order By, Python MySQL Limit
- 참조 맥락: 조회 결과를 가져오는 fetchall()/fetchone() 패턴 — 이후 필터/정렬/제한 챕터의 기초.
📚 출처 (Sources)
- [S1] W3Schools — Python MySQL Select From — https://www.w3schools.com/python/python_mysql_select.asp
📝 변경 이력 (Change history)
- 2026-07-04: Initial draft synthesized from the W3Schools "Python MySQL Select From" page (Astra wiki-curation, P-Reinforce v3.1 format).