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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 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| python-mongodb-query | Python MongoDB Query | Programming_Language | draft | conceptual |
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B | 0.9 | 2026-07-04 | 2026-07-04 |
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Python MongoDB Query
🎯 한 줄 통찰 (One-line insight)
MongoDB filter conditions use $-prefixed modifier keys (like $gt, $regex) nested inside the field's value, rather than SQL's inline operator syntax — the same "greater than" idea is expressed structurally instead of with >. [S1]
🧠 핵심 개념 (Core concepts)
- Query object (1st parameter of
find()) — filters which documents match, e.g.{"address": "Park Lane 38"}for exact match. [S1] $gtmodifier — greater-than comparison:{"address": {"$gt": "S"}}. [S1]$regexmodifier — regular expression matching (strings only):{"address": {"$regex": "^S"}}. [S1]
🧩 추출된 패턴 (Extracted patterns)
- Modifiers nest inside the field, not beside it — SQL writes
WHERE address > 'S'; MongoDB nests the operator as a key inside the field's value object:{"address": {"$gt": "S"}}— a structural rather than syntactic comparison expression. [S1]
📖 세부 내용 (Details)
- Exact match filter:
myquery = {"address": "Park Lane 38"}; mydoc = mycol.find(myquery). [S1] - Greater-than filter:
myquery = {"address": {"$gt": "S"}}. [S1] - Regex filter (starts with "S"):
myquery = {"address": {"$regex": "^S"}}. [S1]
⚖️ 모순 및 업데이트 (Contradictions & updates)
소스에서 모순되는 정보는 발견되지 않음.
🛠️ 적용 사례 (Applied in summary)
현재 발견된 실제 적용 사례가 없습니다 — 이 쿼리 객체 패턴이 이후 Delete/Update 챕터에서 "대상 지정" 역할로 재사용된다. [S1]
💻 코드 패턴 (Code patterns)
Regex-based query modifier (Python):
myquery = { "address": { "$regex": "^S" } }
mydoc = mycol.find(myquery)
for x in mydoc:
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 MongoDB Find, Python MongoDB Delete, Python MongoDB Update, SQL Where
- 참조 맥락: SQL WHERE에 대응하는 필터 표현식 — $ 접두 modifier가 이후 Delete/Update의 대상 지정에도 재사용된다.
📚 출처 (Sources)
- [S1] W3Schools — Python MongoDB Query — https://www.w3schools.com/python/python_mongodb_query.asp
📝 변경 이력 (Change history)
- 2026-07-04: Initial draft synthesized from the W3Schools "Python MongoDB Query" page (Astra wiki-curation, P-Reinforce v3.1 format).