接下來的 Python SQL 程式碼範例 :
https://gitlab.com/GammaRayStudio/DevelopmentGroup/Python/PythonSQL
使用 SQLite
如何使用 SQLite ?
資料庫工具: DB Browser for SQLite
https://sqlitebrowser.org/
創建空白檔案,副檔名為 .db 或 .sqlite
然後拖曳到 DB Browser for SQLite 裡面,就可以將這個檔案 作為 sqlite 的資料庫。
創建資料表
右上角 Create Table 創建表格
填入測試的表格名稱 app_info
新增六個欄位 :
id 識別碼 : Integer , Not Null , Primary Key
name 應用程式名稱 : Text
version 發佈版本 : Text
author 開發者 : Text
date 發佈日期 : Text
remark 備註描述 : Text
測試 SQL:
INSERT INTO app_info (name, version, author, date, remark)
VALUES ('App', 'v1.0.1', 'DevAuth', '2021-11-20', 'App-v1.0.1');
UPDATE data_table
SET name='AppNew', version='1.0.2'
WHERE id=1;
語法結構:
測試 SQL:
UPDATE app_info
SET name='AppNew', version='1.0.2', remark='AppNew-v1.0.2'
WHERE id=1;
DELETE FROM data_table WHERE id=1;
測試 SQL:
DELETE FROM app_info WHERE id=2;
Python SQLite3 模組
sqlite3 模組是 Python 標準庫裡面的內容,不用 pip 安裝套件,可以直接導入!
sqlite-conn.py
SQLite 資料庫連線 與 執行查詢的SQL 語法
import sqlite3 #導入模組
conn = sqlite3.connect('DevDb.db') #建立連線
cursor = conn.cursor() #取得游標物件
cursor.execute('SELECT * FROM `app_info`;') #執行 SQL 語法
records = cursor.fetchall() #取得回傳資料
print(records)
print("record type => ", type(records)) #回傳資料型態
print("record[0] type => ", type(records[0])) #回傳資料內部的元素型態
for r in records: # list 型態,可回圈迭代
print(r)
print("\n---\n")
for r in records:
app_id, app_name, app_ver, app_author, app_date, app_remark = r # tuple 元素拆解
print("id => ", app_id)
print("name => ", app_name)
print("\n---\n")
cursor.close() # 釋放資源
conn.close()
Output:
[(1, 'PythonSQL', '1.0.1', 'DevAuth', '2021-11-20', 'PythonSQL-v1.0.1')]
record type => <class 'list'>
record[0] type => <class 'tuple'>
(1, 'PythonSQL', '1.0.1', 'DevAuth', '2021-11-20', 'PythonSQL-v1.0.1')
id => 1
name => PythonSQL
sqlite-ctrl.py
用 While 迴圈與 input 方法,實作依據動作代碼,執行相應操作的互動程式
import sqlite3
conn = sqlite3.connect('DevDb.db')
cursor = conn.cursor()
appDesc = """
Please input action code :
1 - Insert Data
2 - Update Data
3 - Delete Date
--- --- ---
0 - exit
isRun = True
while isRun:
cursor.execute('SELECT * FROM `app_info`;')
records = cursor.fetchall()
for r in records:
print(r)
ctrl = input(appDesc)
if ctrl == "0": # 結束程式
isRun = False
elif ctrl == "1": # 執行插入的 SQL 語法
sql = """
INSERT INTO app_info (name, version, author, date, remark)
VALUES ('App', 'v1.0.1', 'DevAuth', '2021-11-20', 'App-v1.0.1');
cursor.execute(sql)
conn.commit() # 新增的語法必須要再加上提交的操作
elif ctrl == "2": # 執行更新的 SQL 語法
row_id = input("row_id = ? ") # input 方法,動態決定目標 id
sql = """
update app_info
set name = 'AppNew' , version='1.0.2' , remark = 'App-v1.0.2'
WHERE id={};
""".format(row_id)
cursor.execute(sql)
conn.commit()# 更新的語法必須要再加上提交的操作
elif ctrl == "3": # 執行刪除的 SQL 語法
row_id = input("row_id = ? ") # input 方法,動態決定目標 id
sql = """
delete from app_info
where id={};
""".format(row_id)
cursor.execute(sql)
conn.commit()# 刪除的語法必須要再加上提交的操作
cursor.close()
conn.close()
新增操作(動作代碼1)
:
(1, 'PythonSQL', '1.0.1', 'DevAuth', '2021-11-20', 'PythonSQL-v1.0.1')
Please input action code :
1 - Insert Data
2 - Update Data
3 - Delete Date
--- --- ---
0 - exit
(1, 'PythonSQL', '1.0.1', 'DevAuth', '2021-11-20', 'PythonSQL-v1.0.1')
(2, 'App', 'v1.0.1', 'DevAuth', '2021-11-20', 'App-v1.0.1')
Please input action code :
1 - Insert Data
2 - Update Data
3 - Delete Date
--- --- ---
0 - exit
(1, 'PythonSQL', '1.0.1', 'DevAuth', '2021-11-20', 'PythonSQL-v1.0.1')
(2, 'App', 'v1.0.1', 'DevAuth', '2021-11-20', 'App-v1.0.1')
(3, 'App', 'v1.0.1', 'DevAuth', '2021-11-20', 'App-v1.0.1')
修改操作(動作代碼2)
:
Please input action code :
1 - Insert Data
2 - Update Data
3 - Delete Date
--- --- ---
0 - exit
row_id = ? 2
(1, 'PythonSQL', '1.0.1', 'DevAuth', '2021-11-20', 'PythonSQL-v1.0.1')
(2, 'AppNew', 'v1.0.2', 'DevAuth', '2021-11-20', 'App-v1.0.2')
(3, 'App', 'v1.0.1', 'DevAuth', '2021-11-20', 'App-v1.0.1')
刪除操作(動作代碼3)
:
Please input action code :
1 - Insert Data
2 - Update Data
3 - Delete Date
--- --- ---
0 - exit
row_id = ? 3
(1, 'PythonSQL', '1.0.1', 'DevAuth', '2021-11-20', 'PythonSQL-v1.0.1')
(2, 'AppNew', 'v1.0.2', 'DevAuth', '2021-11-20', 'App-v1.0.2')
連線 MySQL
主流 MySQL 模組有三種:
pymysql
mysql connector
mysqldb
(其中 mysqldb 只支援 python 2,python 3 的 改名叫 mysqlclient,這邊沒有額外的去測試。)
PyPI 安裝套件
PyMySQL - https://pypi.org/project/PyMySQL/
mysql-connector-python - https://pypi.org/project/mysql-connector-python/
SQLite3 vs PyMySQL
模組名稱,從 SQLite3 改成 PyMySQL
連線的部分,改成 mysql 需要的參數
主機 (Host)
端口 (Port)
用戶名稱 (User)
用戶密碼 (Password)
資料庫 (Database)
conn = pymysql.connect( # 填入 MySQL 資料庫,連線需要的參數
host='localhost', port=3306, user='DevAuth', password='Dev127336', database='DevDb')
cursor = conn.cursor()
cursor.execute('SELECT * FROM `app_info`;')
records = cursor.fetchall()
print("record type => ", type(records))
print("record[i] type => ", type(records[0]))
for r in records:
print(r)
print("\n---\n")
for r in records:
app_id, app_name, app_ver, app_author, app_date, app_remark = r
print("id => ", app_id)
print("name => ", app_name)
print("\n---\n")
cursor.close()
conn.close()
pymysql-ctrl.py
import sqlite3
conn = sqlite3.connect('DevDb.db')
cursor = conn.cursor()
appDesc = """
Please input action code :
1 - Insert Data
2 - Update Data
3 - Delete Date
--- --- ---
0 - exit
isRun = True
while isRun:
cursor.execute('SELECT * FROM `app_info`;')
records = cursor.fetchall()
for r in records:
print(r)
ctrl = input(appDesc)
if ctrl == "0":
isRun = False
elif ctrl == "1":
sql = """
INSERT INTO app_info (name, version, author, date, remark)
VALUES ('App', 'v1.0.1', 'DevAuth', '2021-11-20', 'App-v1.0.1');
cursor.execute(sql)
conn.commit()
elif ctrl == "2":
row_id = input("row_id = ? ")
sql = """
update app_info
set name = 'AppNew' , version='1.0.2' , remark = 'App-v1.0.2'
WHERE id={};
""".format(row_id)
cursor.execute(sql)
conn.commit()
elif ctrl == "3":
row_id = input("row_id = ? ")
sql = """
delete from app_info
where id={};
""".format(row_id)
cursor.execute(sql)
conn.commit()
cursor.close()
conn.close()
兩個範例執行的結果,跟 SQLite 的範例一模一樣
若還未安裝過 MySQL 資料庫,可參考「Docker 攻略 : MySQL 安裝篇」
https://youtu.be/ESlY10W09Hc
SQLAlchemy ORM 框架
Python 的 ORM 框架
PyPI 模組安裝 SQLAlchemy
https://pypi.org/project/SQLAlchemy/
ORM 框架
Object Relational Mapping
意思是將程式中的物件,對應到資料庫中的表格:
也就是說,在 Python 程式中,操作物件的增、刪、改、查,就等於操作資料表的增、刪、改、查。
sql-alchemy-ddl.py
使用程式物件的方式,創建資料表
from sqlalchemy import *
engine = create_engine('sqlite:///DevDb.db', echo=True) # 建立連線
db = MetaData() # 取得類似於 Cursor 的物件
demo_table = Table( # 代表資料表數據的物件
'demo_table', db,
Column('id', Integer, primary_key=True),
Column('name', String),
Column('data', String),
db.create_all(engine) # 創建資料表
使用 Table 的 Class 類別,初始化資料表:
名稱 : demo_table
欄位 : id , name , data
result = conn.execute(sql) # 執行 SQL 方法
print("result type => ", type(result), '\n') # <class 'sqlalchemy.engine.cursor.LegacyCursorResult'>
for row in result: # 具有 list 型態特性,可回圈迭代
print(type(row)) # <class 'sqlalchemy.engine.row.LegacyRow'>
demo_id, demo_name, demo_data = row # 具有 tuple 元素特性,可拆分為參數
print("id => ", demo_id)
print("name => ", demo_name)
執行結果與之前相同
延伸用法: Where 子句
print("sql: select * from demo_table where id = 1 => \n")
sql = demo_table.select().where(demo_table.c.id == 1) # select 包含 where 子句的用法
result = conn.execute(sql)
for row in result:
demo_id, demo_name, demo_data = row
print("id => ", demo_id)
print("name => ", demo_name)
print("\n---\n")
物件後方 select() 函式後,接續 where() 函式,相等於 Where 子句
print("sql_text: select * from demo_table where id = 1 => \n")
sql_text = text( # text() 函式
"select * from demo_table where id = :app_id") # sql 語法 + 參數
result = conn.execute(sql_text, app_id='1').fetchall() # where 子句,欄位 id 的數值
print(result)
text 函式,可以撰寫一般的 SQL 語法,
參數部分,用冒號接續變數名稱,動態決定執行數值
sql-alchemy-ctrl.py
結構相似於之前的 sqlite-ctrl.py 範例
from sqlalchemy import *
engine = create_engine('sqlite:///DevDb.db', echo=False)
conn = engine.connect()
db = MetaData()
demo_table = Table(
'demo_table', db,
Column('id', Integer, primary_key=True),
Column('name', String),
Column('data', String),
appDesc = """
Please input action code :
1 - Insert Data
2 - Update Data
3 - Delect Date
--- --- ---
0 - exit
isRun = True
while(isRun):
sql = demo_table.select()
result = conn.execute(sql)
for row in result:
print(row)
ctrl = input(appDesc)
if ctrl == "0":
isRun = False
elif ctrl == "1":
sql = demo_table.insert().values(name='App', data="text") # 插入操作 : insert() + values()
conn.execute(sql)
elif ctrl == "2":
row_id = input("row_id = ? ")
sql = demo_table.update().values( # 更新操作 : update() + values() + where()
name='AppNew', data="new text").where(demo_table.c.id == row_id)
conn.execute(sql)
elif ctrl == "3":
row_id = input("row_id = ?")
sql = demo_table.delete().where(demo_table.c.id == row_id) # 刪除操作 : delete() + where()
conn.execute(sql)
執行結果與之前相同
SQLAlchemy 進階用法
使用真正的資料物件,相似於 sqlite-conn.py 範例
sql-alchemy-orm-object.py
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String
from sqlalchemy import create_engine
engine = create_engine('sqlite:///DevDb.db', echo=False) # 連線
Base = declarative_base() # 取得類似於 Cursor 的物件
class AppInfo(Base): # class 宣告 AppInfo 類別
__tablename__ = 'app_info' # 表格名稱
id = Column('id', Integer, primary_key=True) # id 欄位 , Integer 型態 , 主鍵
name = Column(String) # name 欄位 , String 型態
version = Column(String) # versione 欄位 , String 型態
author = Column(String) # author 欄位 , String 型態
date = Column(Integer) # date 欄位 , String 型態
remark = Column(String) # remark 欄位 , String 型態
Session = sessionmaker(bind=engine)
session = Session() # 取得 Session 物件
result = session.query(AppInfo).all() # 執行查詢方法
for row in result:
print(type(row)) # <class '__main__.AppInfo'>
print("id => ", row.id)
print("name => ", row.name)
從使用套件的 Table 類別,改成使用自定義的 AppInfo 類別
查詢的方法變成 取得 session 物件後,執行 query() 的方法
最後回傳的結果,就會是 AppInfo 的物件,而不是 之前回傳的 tuple 型態
sql-alchemy-orm-mysql.py
使用真正的資料物件,相似於 sqlite-ctrl.py 範例
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String
from sqlalchemy import create_engine
from datetime import datetime
engine = create_engine( # 改成 mysql 的連線方式
'mysql+pymysql://DevAuth:Dev127336@127.0.0.1:3306/DevDb', echo=False)
Base = declarative_base()
class AppInfo(Base):
__tablename__ = 'app_info'
id = Column('id', Integer, primary_key=True)
name = Column(String)
version = Column(String)
author = Column(String)
date = Column(Integer)
remark = Column(String)
def __init__(self, name, version, author, date, remark):
self.name = name
self.version = version
self.author = author
self.date = date
self.remark = remark
def __str__(self):
return """
app_id => {},
app_name => {},
app_version => {},
app_author => {},
app_date => {},
app_remark => {}
""".format(self.id, self.name, self.version, self.author, self.date, self.remark)
Session = sessionmaker(bind=engine)
session = Session()
appDesc = """
Please input action code :
1 - Insert Data
2 - Update Data
3 - Delect Date
--- --- ---
0 - exit
isRun = True
while(isRun):
result = session.query(AppInfo).all()
for row in result:
print(row)
ctrl = input(appDesc)
if ctrl == "0":
isRun = False
elif ctrl == "1":
appInfo = AppInfo('App', '1.0.1', 'DevAuth', # 宣告 AppInfo 物件
datetime(2021, 11, 8, 12, 30, 10), 'App-v1.0.1')
session.add(appInfo) # add() 方法,參數帶入目標物件
session.commit() # 新增的操作必須要加上提交的方法
elif ctrl == "2":
row_id = input("id = ? ")
appInfo = session.query(AppInfo).filter_by(id=row_id).first() # 先查詢出目標物件
appInfo.name = "AppNew" # 直接修改物件的參數
appInfo.version = "1.0.2"
appInfo.remark = "App-v1.0.2"
session.commit() # 更新的操作必須要加上提交的方法
elif ctrl == "3":
row_id = input("id = ? ")
appInfo = session.query(AppInfo).filter_by(id=row_id).first() # 先查詢出目標物件
session.delete(appInfo) # delete 方法,參數帶入目標物件
session.commit() # 刪除的操作必須要加上提交的方法
執行結果,與之前的 sqlite-ctrl.py 範例相同
更加的符合物件導向的程式操作,已經完全看不出 SQL 語法的影子
先查詢後動作的流程,在更新與刪除部分,也是後端開發建議的實作方法 (操作更精準)
Flask_SQLAlchemy 套件
這一次的 Python SQL 的教程,實際上是要用來補充之前 Python Flask 框架,後端 持久化的部分。
(一不小心,擴充成現在的內容)
程式碼的部分有更新在 「Python Flask : 入門指南」的範例程式中 :
https://gitlab.com/GammaRayStudio/DevelopmentGroup/Python/FlaskSE
要先 PyPI 安裝 Flask_SQLAlchemy 套件
https://pypi.org/project/Flask-SQLAlchemy/
接著執行 DbDao.py 範例
python DbDao.py
啟動程式後,訪問網站
http://localhost:5000
程式碼的部分,如果有看過 Flask 入門指南,
以及剛才的 SQL-Alchemy 章節,應該可以很容易的理解。
Python SQL
https://gitlab.com/GammaRayStudio/DevelopmentGroup/Python/PythonSQL
FlaskSE
https://gitlab.com/GammaRayStudio/DevelopmentGroup/Python/FlaskSE
DB Browser for SQLite
https://sqlitebrowser.org/
DBeaver
https://dbeaver.io/
PyPI - PyMySQL
https://pypi.org/project/PyMySQL/
PyPI - mysql-connector-python
https://pypi.org/project/mysql-connector-python/
PyPI - SQLAlchemy
https://pypi.org/project/SQLAlchemy/
PyPI - Flask_SQLAlchemy
https://pypi.org/project/Flask-SQLAlchemy/
mysql客户端pymysql在python下性能比较
https://cloud.tencent.com/developer/article/1399154