{ "cells": [ { "metadata": {}, "cell_type": "markdown", "source": [ "### ORM(Object Relational Mapping)\n", "- 데이터베이스 테이블을 파이썬의 클래스로 매핑\n", "- 컬럼 == 속성\n", "- SQLALchemy 라이브러리가 ORM 지원" ], "id": "11f3431eb6bf7a12" }, { "cell_type": "code", "id": "initial_id", "metadata": { "collapsed": true, "ExecuteTime": { "end_time": "2026-06-17T03:03:17.531519156Z", "start_time": "2026-06-17T03:03:17.519312421Z" } }, "source": "# !pip install sqlalchemy", "outputs": [], "execution_count": 36 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.555640871Z", "start_time": "2026-06-17T03:03:17.532414273Z" } }, "cell_type": "code", "source": [ "# Users 테이블 (id, name, email)\n", "# create table users()\n", "from sqlalchemy import Column, Integer, String, create_engine\n", "from sqlalchemy.orm import declarative_base, sessionmaker\n", "\n", "# 1.x 버전 코드\n", "# 데이터베이스 연결\n", "# 애플리케이션 당 하나만 만들어 사용\n", "# echo=True : 실행 SQL 을 콘솔에 추력\n", "engine = create_engine('sqlite:///db/users.db', echo=True)\n", "# engine = create_engine('sqlite:///users.db')\n", "\n", "# 모든 모델 크래스의 부모 클래스가 될 Base 객체 생성\n", "Base = declarative_base()\n", "\n", "# 데이터베이스랑 관련있는 클래스 : 모델 클래스\n", "class User(Base):\n", " # 테이블 이름 지정\n", " __tablename__ = 'users'\n", "\n", " id = Column(Integer, primary_key=True)\n", " name = Column(String)\n", " email = Column(String, unique=True)\n", "\n", " def __str__(self):\n", " return f\"\"\n", "\n", "# 테이블 생성 ( 없는 경우만 새로 생성됨 )\n", "Base.metadata.create_all(engine)" ], "id": "7a41f863de1efd48", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2026-06-17 12:03:17,542 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,543 INFO sqlalchemy.engine.Engine PRAGMA main.table_info(\"users\")\n", "2026-06-17 12:03:17,545 INFO sqlalchemy.engine.Engine [raw sql] ()\n", "2026-06-17 12:03:17,548 INFO sqlalchemy.engine.Engine COMMIT\n" ] } ], "execution_count": 37 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.576534965Z", "start_time": "2026-06-17T03:03:17.557316858Z" } }, "cell_type": "code", "source": [ "# 모든 테이블 삭제\n", "Base.metadata.drop_all(engine)" ], "id": "28ae00aa8564cd68", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2026-06-17 12:03:17,561 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,563 INFO sqlalchemy.engine.Engine PRAGMA main.table_info(\"users\")\n", "2026-06-17 12:03:17,563 INFO sqlalchemy.engine.Engine [raw sql] ()\n", "2026-06-17 12:03:17,565 INFO sqlalchemy.engine.Engine \n", "DROP TABLE users\n", "2026-06-17 12:03:17,566 INFO sqlalchemy.engine.Engine [no key 0.00051s] ()\n", "2026-06-17 12:03:17,571 INFO sqlalchemy.engine.Engine COMMIT\n" ] } ], "execution_count": 38 }, { "metadata": {}, "cell_type": "markdown", "source": "#### text() : 원시 SQL 실행", "id": "d4b2b34ebf185234" }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.599302675Z", "start_time": "2026-06-17T03:03:17.577699609Z" } }, "cell_type": "code", "source": [ "from sqlalchemy import text\n", "\n", "engine = create_engine('sqlite:///db/demo.db', echo=True)\n", "with engine.connect() as conn:\n", " conn.execute(text(\"\"\"\n", " CREATE TABLE IF NOT EXISTS users (\n", " id INTEGER PRIMARY KEY AUTOINCREMENT,\n", " name TEXT NOT NULL,\n", " age INTEGER\n", " )\n", " \"\"\"\n", " ))\n", "\n", " conn.commit()\n", " # 삽입\n", " conn.execute(text(\"\"\"\n", " INSERT INTO users (name, age) VALUES (:name, :age)\"\"\"),\n", " [{\"name\" : \"Alice\", \"age\" : 23}, {\"name\":\"Bob\", \"age\" : 24}])\n", "\n", " conn.commit()\n", "\n", " # 조회\n", " result = conn.execute(text(\"\"\"\n", " SELECT * FROM users\n", " \"\"\"))\n", "\n", " for row in result:\n", " print(row.id, row.name, row.age)" ], "id": "de1ebcd8f162fd42", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2026-06-17 12:03:17,581 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,581 INFO sqlalchemy.engine.Engine \n", " CREATE TABLE IF NOT EXISTS users (\n", " id INTEGER PRIMARY KEY AUTOINCREMENT,\n", " name TEXT NOT NULL,\n", " age INTEGER\n", " )\n", " \n", "2026-06-17 12:03:17,582 INFO sqlalchemy.engine.Engine [generated in 0.00126s] ()\n", "2026-06-17 12:03:17,583 INFO sqlalchemy.engine.Engine COMMIT\n", "2026-06-17 12:03:17,584 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,585 INFO sqlalchemy.engine.Engine \n", " INSERT INTO users (name, age) VALUES (?, ?)\n", "2026-06-17 12:03:17,585 INFO sqlalchemy.engine.Engine [generated in 0.00116s] [('Alice', 23), ('Bob', 24)]\n", "2026-06-17 12:03:17,586 INFO sqlalchemy.engine.Engine COMMIT\n", "2026-06-17 12:03:17,591 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,593 INFO sqlalchemy.engine.Engine \n", " SELECT * FROM users\n", " \n", "2026-06-17 12:03:17,593 INFO sqlalchemy.engine.Engine [generated in 0.00211s] ()\n", "1 Alice 23\n", "2 Bob 24\n", "3 Alice 23\n", "4 Bob 24\n", "5 Alice 23\n", "6 Bob 24\n", "2026-06-17 12:03:17,595 INFO sqlalchemy.engine.Engine ROLLBACK\n" ] } ], "execution_count": 39 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.624396207Z", "start_time": "2026-06-17T03:03:17.600052176Z" } }, "cell_type": "code", "source": [ "# 2.x 버전 코드\n", "from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column\n", "from sqlalchemy import DateTime, func\n", "from datetime import datetime\n", "\n", "\n", "engine = create_engine('sqlite:///db/users.db', echo=True)\n", "# engine = create_engine('sqlite:///users.db')\n", "\n", "# 모든 모델 크래스의 부모 클래스가 될 Base 객체 생성\n", "class Base(DeclarativeBase):\n", " pass\n", "\n", "# 데이터베이스랑 관련있는 클래스 : 모델 클래스\n", "class User(Base):\n", " # 테이블 이름 지정\n", " __tablename__ = 'users'\n", "\n", " # 컬럽 타입 지정 : 티입힌트(파이썬 데이터 타입) 사용\n", " id:Mapped[int] = mapped_column(primary_key=True, autoincrement=True)\n", " name:Mapped[str]\n", " email:Mapped[str] = mapped_column(unique=True)\n", " age:Mapped[int]\n", " created_at:Mapped[datetime] = mapped_column(DateTime, server_default=func.now())\n", "\n", " def __str__(self):\n", " return f\"\"\n", "\n", "# 테이블 생성 ( 없는 경우만 새로 생성됨 )\n", "# create_all() : IF NOT EXISTS\n", "Base.metadata.create_all(engine)" ], "id": "d7eb9178f27499a7", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2026-06-17 12:03:17,606 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,607 INFO sqlalchemy.engine.Engine PRAGMA main.table_info(\"users\")\n", "2026-06-17 12:03:17,609 INFO sqlalchemy.engine.Engine [raw sql] ()\n", "2026-06-17 12:03:17,610 INFO sqlalchemy.engine.Engine PRAGMA temp.table_info(\"users\")\n", "2026-06-17 12:03:17,610 INFO sqlalchemy.engine.Engine [raw sql] ()\n", "2026-06-17 12:03:17,612 INFO sqlalchemy.engine.Engine \n", "CREATE TABLE users (\n", "\tid INTEGER NOT NULL, \n", "\tname VARCHAR NOT NULL, \n", "\temail VARCHAR NOT NULL, \n", "\tage INTEGER NOT NULL, \n", "\tcreated_at DATETIME DEFAULT CURRENT_TIMESTAMP NOT NULL, \n", "\tPRIMARY KEY (id), \n", "\tUNIQUE (email)\n", ")\n", "\n", "\n", "2026-06-17 12:03:17,613 INFO sqlalchemy.engine.Engine [no key 0.00171s] ()\n", "2026-06-17 12:03:17,618 INFO sqlalchemy.engine.Engine COMMIT\n" ] } ], "execution_count": 40 }, { "metadata": {}, "cell_type": "markdown", "source": [ "#### 세션\n", "- 데이터베이스 연동\n", "- 변경사항 추적하고 트랜잭션 관리\n", "- sessionmaker 팩토리 사용" ], "id": "de5e7ee1adb4cee6" }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.633680827Z", "start_time": "2026-06-17T03:03:17.625430327Z" } }, "cell_type": "code", "source": [ "# 세션 팩토리 생성\n", "Session = sessionmaker(bind=engine, autoflush=False, autocommit=False)\n", "# 세션 객체 생성\n", "session = Session()" ], "id": "140093069c78dd21", "outputs": [], "execution_count": 41 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.647449353Z", "start_time": "2026-06-17T03:03:17.637405010Z" } }, "cell_type": "code", "source": "session.close()", "id": "c9f8fdb361307ea", "outputs": [], "execution_count": 42 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.667693242Z", "start_time": "2026-06-17T03:03:17.648384205Z" } }, "cell_type": "code", "source": [ "# insert\n", "# session.add() / session.add_all() / session.commit()\n", "\n", "session = Session()\n", "# 사용자 생성\n", "new_User = User(name=\"Alice\", email=\"alice@example.com\", age=23)\n", "session.add(new_User)\n", "session.commit()\n", "session.close()" ], "id": "8c0f8f2c60597d73", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2026-06-17 12:03:17,651 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,654 INFO sqlalchemy.engine.Engine INSERT INTO users (name, email, age) VALUES (?, ?, ?) RETURNING id, created_at\n", "2026-06-17 12:03:17,655 INFO sqlalchemy.engine.Engine [generated in 0.00099s] ('Alice', 'alice@example.com', 23)\n", "2026-06-17 12:03:17,658 INFO sqlalchemy.engine.Engine COMMIT\n" ] } ], "execution_count": 43 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.691852173Z", "start_time": "2026-06-17T03:03:17.669654096Z" } }, "cell_type": "code", "source": [ "with Session() as session:\n", " session.add_all(\n", " [\n", " User(name=\"Bob\", email=\"bob@example.com\", age=25),\n", " User(name=\"Charlie\", email=\"charlie@example.com\", age=30),\n", " ]\n", " )\n", " session.commit()" ], "id": "2c91d42f265ded17", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2026-06-17 12:03:17,672 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,674 INFO sqlalchemy.engine.Engine INSERT INTO users (name, email, age) VALUES (?, ?, ?) RETURNING id, created_at\n", "2026-06-17 12:03:17,675 INFO sqlalchemy.engine.Engine [generated in 0.00009s (insertmanyvalues) 1/2 (ordered; batch not supported)] ('Bob', 'bob@example.com', 25)\n", "2026-06-17 12:03:17,676 INFO sqlalchemy.engine.Engine INSERT INTO users (name, email, age) VALUES (?, ?, ?) RETURNING id, created_at\n", "2026-06-17 12:03:17,676 INFO sqlalchemy.engine.Engine [insertmanyvalues 2/2 (ordered; batch not supported)] ('Charlie', 'charlie@example.com', 30)\n", "2026-06-17 12:03:17,678 INFO sqlalchemy.engine.Engine COMMIT\n" ] } ], "execution_count": 44 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.733033419Z", "start_time": "2026-06-17T03:03:17.693025923Z" } }, "cell_type": "code", "source": [ "from sqlalchemy import select\n", "\n", "with Session() as session:\n", " # id 를 사용해 조회\n", " user = session.get(User, 1)\n", " print(\"--- 단일 사용자 ---\")\n", " print(user)\n", "\n", " print(\"--- 모든 사용자 ---\")\n", " all_users = session.query(User).all()\n", " for user in all_users:\n", " print(user)\n", "\n", " stmt = select(User)\n", " all_users = session.scalars(stmt)\n", " for user in all_users:\n", " print(user)\n", "\n", " print(\"--- where ---\")\n", " alice = session.query(User).filter_by(name = \"Alice\").first()\n", " print(f\"찾은 사용자 {alice}\")\n", "\n", " stmt = select(User).where(User.age >= 30)\n", " find_users = session.scalars(stmt).all()\n", " for user in find_users:\n", " print(user)\n", "\n", " stmt = select(User).where(User.email.like('%ali%'))\n", " find_users = session.scalars(stmt).all()\n", " for user in find_users:\n", " print(user)\n", "\n", " stmt = select(User).order_by(User.id.desc()).limit(2)\n", " find_users = session.scalars(stmt).all()\n", " for user in find_users:\n", " print(user)\n", "\n", " # 집계 함수\n", " count = session.scalar(select(func.count()).select_from(User))\n", " print(count)" ], "id": "b0ce2cc0ee9d68ed", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2026-06-17 12:03:17,698 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,704 INFO sqlalchemy.engine.Engine SELECT users.id AS users_id, users.name AS users_name, users.email AS users_email, users.age AS users_age, users.created_at AS users_created_at \n", "FROM users \n", "WHERE users.id = ?\n", "2026-06-17 12:03:17,704 INFO sqlalchemy.engine.Engine [generated in 0.00082s] (1,)\n", "--- 단일 사용자 ---\n", "\n", "--- 모든 사용자 ---\n", "2026-06-17 12:03:17,706 INFO sqlalchemy.engine.Engine SELECT users.id AS users_id, users.name AS users_name, users.email AS users_email, users.age AS users_age, users.created_at AS users_created_at \n", "FROM users\n", "2026-06-17 12:03:17,707 INFO sqlalchemy.engine.Engine [generated in 0.00096s] ()\n", "\n", "\n", "\n", "2026-06-17 12:03:17,710 INFO sqlalchemy.engine.Engine SELECT users.id, users.name, users.email, users.age, users.created_at \n", "FROM users\n", "2026-06-17 12:03:17,711 INFO sqlalchemy.engine.Engine [generated in 0.00100s] ()\n", "\n", "\n", "\n", "--- where ---\n", "2026-06-17 12:03:17,713 INFO sqlalchemy.engine.Engine SELECT users.id AS users_id, users.name AS users_name, users.email AS users_email, users.age AS users_age, users.created_at AS users_created_at \n", "FROM users \n", "WHERE users.name = ?\n", " LIMIT ? OFFSET ?\n", "2026-06-17 12:03:17,714 INFO sqlalchemy.engine.Engine [generated in 0.00058s] ('Alice', 1, 0)\n", "찾은 사용자 \n", "2026-06-17 12:03:17,718 INFO sqlalchemy.engine.Engine SELECT users.id, users.name, users.email, users.age, users.created_at \n", "FROM users \n", "WHERE users.age >= ?\n", "2026-06-17 12:03:17,719 INFO sqlalchemy.engine.Engine [generated in 0.00090s] (30,)\n", "\n", "2026-06-17 12:03:17,720 INFO sqlalchemy.engine.Engine SELECT users.id, users.name, users.email, users.age, users.created_at \n", "FROM users \n", "WHERE users.email LIKE ?\n", "2026-06-17 12:03:17,721 INFO sqlalchemy.engine.Engine [generated in 0.00080s] ('%ali%',)\n", "\n", "2026-06-17 12:03:17,723 INFO sqlalchemy.engine.Engine SELECT users.id, users.name, users.email, users.age, users.created_at \n", "FROM users ORDER BY users.id DESC\n", " LIMIT ? OFFSET ?\n", "2026-06-17 12:03:17,724 INFO sqlalchemy.engine.Engine [generated in 0.00092s] (2, 0)\n", "\n", "\n", "2026-06-17 12:03:17,727 INFO sqlalchemy.engine.Engine SELECT count(*) AS count_1 \n", "FROM users\n", "2026-06-17 12:03:17,728 INFO sqlalchemy.engine.Engine [generated in 0.00053s] ()\n", "3\n", "2026-06-17 12:03:17,728 INFO sqlalchemy.engine.Engine ROLLBACK\n" ] } ], "execution_count": 45 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.756463366Z", "start_time": "2026-06-17T03:03:17.734005295Z" } }, "cell_type": "code", "source": [ "with Session() as session:\n", " alice = session.query(User).filter_by(name = \"Alice\").first()\n", " alice.email = \"alice.new@example.com\"\n", " session.commit()\n", "\n", " print(f\"수정된 사용자 {session.query(User).filter_by(name='Alice').first()}\")" ], "id": "93f58b5307abd93f", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2026-06-17 12:03:17,737 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,739 INFO sqlalchemy.engine.Engine SELECT users.id AS users_id, users.name AS users_name, users.email AS users_email, users.age AS users_age, users.created_at AS users_created_at \n", "FROM users \n", "WHERE users.name = ?\n", " LIMIT ? OFFSET ?\n", "2026-06-17 12:03:17,740 INFO sqlalchemy.engine.Engine [cached since 0.02646s ago] ('Alice', 1, 0)\n", "2026-06-17 12:03:17,741 INFO sqlalchemy.engine.Engine UPDATE users SET email=? WHERE users.id = ?\n", "2026-06-17 12:03:17,742 INFO sqlalchemy.engine.Engine [generated in 0.00075s] ('alice.new@example.com', 1)\n", "2026-06-17 12:03:17,743 INFO sqlalchemy.engine.Engine COMMIT\n", "2026-06-17 12:03:17,747 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,749 INFO sqlalchemy.engine.Engine SELECT users.id AS users_id, users.name AS users_name, users.email AS users_email, users.age AS users_age, users.created_at AS users_created_at \n", "FROM users \n", "WHERE users.name = ?\n", " LIMIT ? OFFSET ?\n", "2026-06-17 12:03:17,749 INFO sqlalchemy.engine.Engine [cached since 0.03613s ago] ('Alice', 1, 0)\n", "수정된 사용자 \n", "2026-06-17 12:03:17,751 INFO sqlalchemy.engine.Engine ROLLBACK\n" ] } ], "execution_count": 46 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.785689642Z", "start_time": "2026-06-17T03:03:17.757935816Z" } }, "cell_type": "code", "source": [ "from sqlalchemy import update\n", "\n", "with Session() as session:\n", " user = session.get(User, 1)\n", " if user:\n", " user.age = 40\n", " session.commit()\n", "\n", " # 일괄 업데이트\n", " stmt = update(User).where(User.age <= 30).values(age=20)\n", " session.execute(stmt)\n", " session.commit()" ], "id": "1f333d8d8bcfbf54", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2026-06-17 12:03:17,761 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,762 INFO sqlalchemy.engine.Engine SELECT users.id AS users_id, users.name AS users_name, users.email AS users_email, users.age AS users_age, users.created_at AS users_created_at \n", "FROM users \n", "WHERE users.id = ?\n", "2026-06-17 12:03:17,763 INFO sqlalchemy.engine.Engine [cached since 0.0592s ago] (1,)\n", "2026-06-17 12:03:17,764 INFO sqlalchemy.engine.Engine UPDATE users SET age=? WHERE users.id = ?\n", "2026-06-17 12:03:17,766 INFO sqlalchemy.engine.Engine [generated in 0.00217s] (40, 1)\n", "2026-06-17 12:03:17,769 INFO sqlalchemy.engine.Engine COMMIT\n", "2026-06-17 12:03:17,773 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,775 INFO sqlalchemy.engine.Engine UPDATE users SET age=? WHERE users.age <= ?\n", "2026-06-17 12:03:17,776 INFO sqlalchemy.engine.Engine [generated in 0.00108s] (20, 30)\n", "2026-06-17 12:03:17,777 INFO sqlalchemy.engine.Engine COMMIT\n" ] } ], "execution_count": 47 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.805168757Z", "start_time": "2026-06-17T03:03:17.787206837Z" } }, "cell_type": "code", "source": [ "with Session() as session:\n", " bob = session.query(User).filter_by(name=\"Bob\").first()\n", " session.delete(bob)\n", " session.commit()\n" ], "id": "f6c6f87020eb7927", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2026-06-17 12:03:17,790 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,791 INFO sqlalchemy.engine.Engine SELECT users.id AS users_id, users.name AS users_name, users.email AS users_email, users.age AS users_age, users.created_at AS users_created_at \n", "FROM users \n", "WHERE users.name = ?\n", " LIMIT ? OFFSET ?\n", "2026-06-17 12:03:17,793 INFO sqlalchemy.engine.Engine [cached since 0.07924s ago] ('Bob', 1, 0)\n", "2026-06-17 12:03:17,794 INFO sqlalchemy.engine.Engine DELETE FROM users WHERE users.id = ?\n", "2026-06-17 12:03:17,795 INFO sqlalchemy.engine.Engine [generated in 0.00093s] (2,)\n", "2026-06-17 12:03:17,797 INFO sqlalchemy.engine.Engine COMMIT\n" ] } ], "execution_count": 48 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.824210114Z", "start_time": "2026-06-17T03:03:17.807206458Z" } }, "cell_type": "code", "source": [ "from sqlalchemy import delete\n", "\n", "# delete from 테이블명 where id = 1\n", "with Session() as session:\n", " stmt = delete(User).where(User.id == 1)\n", " session.execute(stmt)\n", " session.commit()" ], "id": "b35c028d86f48e31", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2026-06-17 12:03:17,810 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,811 INFO sqlalchemy.engine.Engine DELETE FROM users WHERE users.id = ?\n", "2026-06-17 12:03:17,812 INFO sqlalchemy.engine.Engine [generated in 0.00074s] (1,)\n", "2026-06-17 12:03:17,813 INFO sqlalchemy.engine.Engine COMMIT\n" ] } ], "execution_count": 49 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.834127797Z", "start_time": "2026-06-17T03:03:17.824909859Z" } }, "cell_type": "code", "source": "Base.metadata.clear()", "id": "9da5d9421e56853f", "outputs": [], "execution_count": 50 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.863676311Z", "start_time": "2026-06-17T03:03:17.834932678Z" } }, "cell_type": "code", "source": [ "from sqlalchemy.orm import relationship\n", "from sqlalchemy import ForeignKey\n", "\n", "# 관계(외래키)\n", "# 1:N, N:1, M:N\n", "# 게시글 하나 : 댓글 여러개\n", "\n", "class Post(Base):\n", " __tablename__ = 'posts'\n", "\n", " id : Mapped[int] = mapped_column(primary_key=True, autoincrement=True)\n", " title:Mapped[str] = mapped_column(String(200))\n", " content:Mapped[str]\n", " # 역참조\n", " comments: Mapped[list['Comment']] = relationship('Comment', back_populates='post', cascade='all, delete-orphan')\n", "\n", "# FOREIGN KEY (post_id) REFERENCES posts(id);\n", "class Comment(Base):\n", " __tablename__ = 'comments'\n", "\n", " id : Mapped[int] = mapped_column(primary_key=True, autoincrement=True)\n", " content:Mapped[str]\n", " # 어느 게시글의 댓글인가?\n", " post_id:Mapped[int] = mapped_column(ForeignKey(\"posts.id\"))\n", " # 역참조\n", " post:Mapped['Post'] = relationship('Post', back_populates='comments')\n" ], "id": "cc7b55c5bf90b92b", "outputs": [], "execution_count": 51 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.884050919Z", "start_time": "2026-06-17T03:03:17.864744917Z" } }, "cell_type": "code", "source": "Base.metadata.create_all(engine)", "id": "50e66cc696cfdd21", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2026-06-17 12:03:17,868 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,872 INFO sqlalchemy.engine.Engine PRAGMA main.table_info(\"posts\")\n", "2026-06-17 12:03:17,873 INFO sqlalchemy.engine.Engine [raw sql] ()\n", "2026-06-17 12:03:17,873 INFO sqlalchemy.engine.Engine PRAGMA main.table_info(\"comments\")\n", "2026-06-17 12:03:17,874 INFO sqlalchemy.engine.Engine [raw sql] ()\n", "2026-06-17 12:03:17,876 INFO sqlalchemy.engine.Engine COMMIT\n" ] } ], "execution_count": 52 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.932695111Z", "start_time": "2026-06-17T03:03:17.885317745Z" } }, "cell_type": "code", "source": [ "with Session() as session:\n", " post = Post(title=\"LLM 입문\", content=\"LLM이란 무엇인가?\")\n", " post.comments = [\n", " Comment(content=\"LLM은 언어 모델의 일종입니다.\"),\n", " Comment(content=\"좋아요\"),\n", "\n", " ]\n", "\n", " session.add(post)\n", " session.commit()\n", "\n", " # 역참조 이용\n", " p = session.get(Post, 1)\n", " for c in p.comments:\n", " print(c.content)" ], "id": "7400ebdad0575a44", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2026-06-17 12:03:17,897 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,902 INFO sqlalchemy.engine.Engine INSERT INTO posts (title, content) VALUES (?, ?)\n", "2026-06-17 12:03:17,903 INFO sqlalchemy.engine.Engine [generated in 0.00105s] ('LLM 입문', 'LLM이란 무엇인가?')\n", "2026-06-17 12:03:17,904 INFO sqlalchemy.engine.Engine INSERT INTO comments (content, post_id) VALUES (?, ?) RETURNING id\n", "2026-06-17 12:03:17,906 INFO sqlalchemy.engine.Engine [generated in 0.00008s (insertmanyvalues) 1/2 (ordered; batch not supported)] ('LLM은 언어 모델의 일종입니다.', 2)\n", "2026-06-17 12:03:17,906 INFO sqlalchemy.engine.Engine INSERT INTO comments (content, post_id) VALUES (?, ?) RETURNING id\n", "2026-06-17 12:03:17,907 INFO sqlalchemy.engine.Engine [insertmanyvalues 2/2 (ordered; batch not supported)] ('좋아요', 2)\n", "2026-06-17 12:03:17,908 INFO sqlalchemy.engine.Engine COMMIT\n", "2026-06-17 12:03:17,918 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n", "2026-06-17 12:03:17,920 INFO sqlalchemy.engine.Engine SELECT posts.id AS posts_id, posts.title AS posts_title, posts.content AS posts_content \n", "FROM posts \n", "WHERE posts.id = ?\n", "2026-06-17 12:03:17,920 INFO sqlalchemy.engine.Engine [generated in 0.00071s] (1,)\n", "2026-06-17 12:03:17,923 INFO sqlalchemy.engine.Engine SELECT comments.id AS comments_id, comments.content AS comments_content, comments.post_id AS comments_post_id \n", "FROM comments \n", "WHERE ? = comments.post_id\n", "2026-06-17 12:03:17,924 INFO sqlalchemy.engine.Engine [generated in 0.00067s] (1,)\n", "LLM은 언어 모델의 일종입니다.\n", "좋아요\n", "2026-06-17 12:03:17,925 INFO sqlalchemy.engine.Engine ROLLBACK\n" ] } ], "execution_count": 53 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.950832461Z", "start_time": "2026-06-17T03:03:17.933917669Z" } }, "cell_type": "code", "source": [ "# 💡 이 셀을 실행해야 'Session'이라는 이름이 메모리에 등록됩니다!\n", "from sqlalchemy import create_engine\n", "from sqlalchemy.orm import sessionmaker\n", "\n", "engine = create_engine(\"sqlite:///users.db\") # 본인의 engine 설정 코드\n", "Session = sessionmaker(bind=engine)" ], "id": "7d17932707f7f879", "outputs": [], "execution_count": 54 }, { "metadata": { "ExecuteTime": { "end_time": "2026-06-17T03:03:17.968159853Z", "start_time": "2026-06-17T03:03:17.952470603Z" } }, "cell_type": "code", "source": "", "id": "48795cdb32be042b", "outputs": [], "execution_count": 54 } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.6" } }, "nbformat": 4, "nbformat_minor": 5 }