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3.8 KiB
3.8 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-insert | Python MySQL Insert | Programming_Language | draft | conceptual |
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B | 0.9 | 2026-07-04 | 2026-07-04 |
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Python MySQL Insert
🎯 한 줄 통찰 (One-line insight)
mydb.commit() is not optional — without it, INSERT/executemany() changes silently never reach the table, since the connector buffers writes until explicitly committed. [S1]
🧠 핵심 개념 (Core concepts)
%splaceholders —sql = "INSERT INTO customers (name, address) VALUES (%s, %s)"— parameterized, injection-safe insertion. [S1]mycursor.execute(sql, val)— executes with a tuple of values bound to the placeholders. [S1]mydb.commit()— REQUIRED to persist changes; without it, no changes are made to the table. [S1]mycursor.rowcount— number of rows affected by the last statement. [S1]executemany(sql, val)— inserts multiple rows at once;valis a list of tuples. [S1]mycursor.lastrowid— the auto-generated ID of the last inserted row (only the LAST row's ID if multiple were inserted). [S1]
🧩 추출된 패턴 (Extracted patterns)
- commit() is the universal write-finalizer — every mutating operation (INSERT/UPDATE/DELETE) in this whole Python-MySQL series requires the same
mydb.commit()call, making it the single most important line to remember across all of them. [S1]
📖 세부 내용 (Details)
- Single insert with commit:
sql = "INSERT INTO customers (name, address) VALUES (%s, %s)"; val = ("John", "Highway 21"); mycursor.execute(sql, val); mydb.commit(); print(mycursor.rowcount, "record inserted."). [S1] - Multiple rows:
val = [('Peter','Lowstreet 4'), ...]; mycursor.executemany(sql, val); mydb.commit(). [S1] - Get last inserted ID:
print("1 record inserted, ID:", mycursor.lastrowid). [S1]
⚖️ 모순 및 업데이트 (Contradictions & updates)
소스에서 모순되는 정보는 발견되지 않음. commit()이 없으면 아무 변경도 반영되지 않는다는 점이 "Important!"로 강조됨. [S1]
🛠️ 적용 사례 (Applied in summary)
현재 발견된 실제 적용 사례가 없습니다 — SQL Injection/Parameters 챕터에서 배운 파라미터화 쿼리(%s)가 여기서 mysql.connector의 실제 구현으로 이어진다. [S1]
💻 코드 패턴 (Code patterns)
Insert with required commit() (Python):
sql = "INSERT INTO customers (name, address) VALUES (%s, %s)"
val = ("John", "Highway 21")
mycursor.execute(sql, val)
mydb.commit() # required, or no changes persist
print(mycursor.rowcount, "record inserted.")
✅ 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 Create Table, SQL Parameters, Python MySQL Update
- 참조 맥락: commit()이 필요한 모든 쓰기 작업(Insert/Update/Delete)의 공통 패턴 확립.
📚 출처 (Sources)
- [S1] W3Schools — Python MySQL Insert Into Table — https://www.w3schools.com/python/python_mysql_insert.asp
📝 변경 이력 (Change history)
- 2026-07-04: Initial draft synthesized from the W3Schools "Python MySQL Insert Into Table" page (Astra wiki-curation, P-Reinforce v3.1 format).