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10_Wiki/Dev/Topic_Python/Python_MongoDB_Create_DB.md

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+---
+id: python-mongodb-create-db
+title: "Python MongoDB Create DB"
+category: "Programming_Language"
+status: "draft"
+verification_status: "conceptual"
+canonical_id: ""
+aliases: ["pymongo", "MongoClient", "파이썬 MongoDB 데이터베이스 생성"]
+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", "mongodb", "w3schools", "database", "pymongo"]
+raw_sources: ["https://www.w3schools.com/python/python_mongodb_create_db.asp"]
+applied_in: []
+github_commit: ""
+---
+
+# [[Python MongoDB Create DB]]
+
+## 🎯 한 줄 통찰 (One-line insight)
+Unlike MySQL's explicit `CREATE DATABASE`, MongoDB is lazy — `myclient["mydatabase"]` doesn't actually create anything on the server until a collection with at least one document is inserted into it. [S1]
+
+## 🧠 핵심 개념 (Core concepts)
+- **`pymongo.MongoClient(url)`** — connects to a MongoDB server. [S1]
+- **`myclient["dbname"]`** — references (but does not yet create) a database. [S1]
+- **Lazy creation** — MongoDB doesn't create the database until a collection with content exists. [S1]
+- **`myclient.list_database_names()`** — lists all databases, used to check existence. [S1]
+
+## 🧩 추출된 패턴 (Extracted patterns)
+- **Content-triggered creation is the opposite of SQL** — where `CREATE DATABASE` is an explicit imperative command in SQL, MongoDB treats database existence as a side effect of inserting data, not a standalone action. [S1]
+
+## 📖 세부 내용 (Details)
+- Connect and reference a database: `myclient = pymongo.MongoClient("mongodb://localhost:27017/"); mydb = myclient["mydatabase"]`. [S1]
+- List all databases: `print(myclient.list_database_names())`. [S1]
+- Check specific database: `dblist = myclient.list_database_names(); if "mydatabase" in dblist: print("The database exists.")`. [S1]
+
+## ⚖️ 모순 및 업데이트 (Contradictions & updates)
+- **SQL과의 근본적 차이**: SQL은 `CREATE DATABASE`로 즉시 생성되지만, MongoDB는 컬렉션+문서가 실제로 삽입되기 전까지 데이터베이스가 생성되지 않는다. [S1]
+
+## 🛠️ 적용 사례 (Applied in summary)
+현재 발견된 실제 적용 사례가 없습니다 — 다음 챕터(Create Collection, Insert)를 완료해야 실제로 데이터베이스가 존재하게 된다. [S1]
+
+## 💻 코드 패턴 (Code patterns)
+Connect to MongoDB and reference a database (Python):
+```python
+import pymongo
+myclient = pymongo.MongoClient("mongodb://localhost:27017/")
+mydb = myclient["mydatabase"]
+```
+
+## ✅ 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 Create Collection]], [[Python MySQL Create Database]]
+- **참조 맥락:** MongoDB의 지연 생성(lazy creation) 특성 — MySQL의 즉시 생성 방식과 대비.
+
+## 📚 출처 (Sources)
+- [S1] W3Schools — Python MongoDB Create Database — https://www.w3schools.com/python/python_mongodb_create_db.asp
+
+## 📝 변경 이력 (Change history)
+- 2026-07-04: Initial draft synthesized from the W3Schools "Python MongoDB Create Database" page (Astra wiki-curation, P-Reinforce v3.1 format).