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python 之 SQLite

http://python101.pythonlibrary.org/chapter18_sqlite.html

SQLite是一个独立的,无服务器的,无配置的事务型SQL数据库引擎
SQLite仅支持五种数据类型:null, integer, real, text and blob

import sqlite3

conn = sqlite3.connect("mydatabase.db") # or use :memory: to put it in RAM

cursor = conn.cursor()

# create a table
cursor.execute("""CREATE TABLE albums
                  (title text, artist text, release_date text,
                   publisher text, media_type text)
               """)

# insert some data
cursor.execute("""INSERT INTO albums
                  VALUES ('Glow', 'Andy Hunter', '7/24/2012',
                          'Xplore Records', 'MP3')"""
               )

# save data to database
conn.commit()
------------------------------------------
# insert multiple records using the more secure "?" method
albums = [('Exodus', 'Andy Hunter', '7/9/2002', 'Sparrow Records', 'CD'),
          ('Until We Have Faces', 'Red', '2/1/2011', 'Essential Records', 'CD'),
          ('The End is Where We Begin', 'Thousand Foot Krutch', '4/17/2012', 'TFKmusic', 'CD'),
          ('The Good Life', 'Trip Lee', '4/10/2012', 'Reach Records', 'CD')]
cursor.executemany("INSERT INTO albums VALUES (?,?,?,?,?)", albums)
conn.commit()

---------------------------------------
import sqlite3

conn = sqlite3.connect("mydatabase.db")
cursor = conn.cursor()

sql = """
UPDATE albums
SET artist = 'John Doe'
WHERE artist = 'Andy Hunter'
"""
cursor.execute(sql)
conn.commit()


---------------------------------------
import sqlite3

conn = sqlite3.connect("mydatabase.db")
cursor = conn.cursor()

sql = """
DELETE FROM albums
WHERE artist = 'John Doe'
"""
cursor.execute(sql)
conn.commit()


--------------------------------
import sqlite3

conn = sqlite3.connect("mydatabase.db")
#conn.row_factory = sqlite3.Row
cursor = conn.cursor()

sql = "SELECT * FROM albums WHERE artist=?"
cursor.execute(sql, [("Red")])
print(cursor.fetchall())  # or use fetchone()

print("\nHere's a listing of all the records in the table:\n")
for row in cursor.execute("SELECT rowid, * FROM albums ORDER BY artist"):
    print(row)

print("\nResults from a LIKE query:\n")
sql = """
SELECT * FROM albums
WHERE title LIKE 'The%'"""
cursor.execute(sql)
print(cursor.fetchall())

我们执行SQL并使用fetchall()返回所有结果。您也可以使用fetchone()获取第一个结果。您还将注意到,其中有一个与神秘的row_factory相关的注释掉的部分。如果您取消注释该行,则结果将作为类似于Python字典的Row对象返回,使您可以像字典一样访问该行的字段。但是,您不能使用Row对象进行项目分配


--------------------------------------------------


SQLAlchemy

https://www.sqlalchemy.org/
http://zetcode.com/db/sqlalchemy/intro/
https://www.pythoncentral.io/introductory-tutorial-python-sqlalchemy/

SQLAlchemy是Python SQL工具箱和对象关系映射器,它为应用程序开发人员提供了SQL的全部功能和灵活性。
它提供了一整套众所周知的企业级持久性模式,旨在用于高效和高性能的数据库访问,并被适配为简单的Pythonic域语言




pip install sqlalchemy

# Create a Database
# table_def.py
from sqlalchemy import create_engine, ForeignKey
from sqlalchemy import Column, Date, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, backref

engine = create_engine('sqlite:///mymusic.db', echo=True)
Base = declarative_base()

class Artist(Base):
    """"""
    __tablename__ = "artists"

    id = Column(Integer, primary_key=True)
    name = Column(String)

class Album(Base):
    """"""
    __tablename__ = "albums"

    id = Column(Integer, primary_key=True)
    title = Column(String)
    release_date = Column(Date)
    publisher = Column(String)
    media_type = Column(String)

    artist_id = Column(Integer, ForeignKey("artists.id"))
    artist = relationship("Artist", backref=backref("albums", order_by=id))

# create tables
Base.metadata.create_all(engine)




# Insert / Add Data to Your Tables
# add_data.py
import datetime
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from table_def import Album, Artist

engine = create_engine('sqlite:///mymusic.db', echo=True)

# create a Session
Session = sessionmaker(bind=engine)
session = Session()

# Create an artist
new_artist = Artist(name="Newsboys")

new_artist.albums = [Album(title="Read All About It",
                           release_date=datetime.date(1988,12,1),
                           publisher="Refuge", media_type="CD")]

# add more albums
more_albums = [Album(title="Hell Is for Wimps",
                     release_date=datetime.date(1990,7,31),
                     publisher="Star Song", media_type="CD"),
               Album(title="Love Liberty Disco",
                     release_date=datetime.date(1999,11,16),
                     publisher="Sparrow", media_type="CD"),
               Album(title="Thrive",
                     release_date=datetime.date(2002,3,26),
                     publisher="Sparrow", media_type="CD")]
new_artist.albums.extend(more_albums)

# Add the record to the session object
session.add(new_artist)
# commit the record the database
session.commit()

# Add several artists
session.add_all([
    Artist(name="MXPX"),
    Artist(name="Kutless"),
    Artist(name="Thousand Foot Krutch")
    ])
session.commit()





# Modify Records with SQLAlchemy
# modify_data.py
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from table_def import Album, Artist

engine = create_engine('sqlite:///mymusic.db', echo=True)

# create a Session
Session = sessionmaker(bind=engine)
session = Session()

# querying for a record in the Artist table
res = session.query(Artist).filter(Artist.name=="Kutless").first()
print(res.name)

# changing the name
res.name = "Beach Boys"
session.commit()

# editing Album data
artist, album = session.query(Artist, Album).filter(
    Artist.id==Album.artist_id).filter(Album.title=="Thrive").first()
album.title = "Step Up to the Microphone"
session.commit()





# Delete Records in SQLAlchemy
# deleting_data.py
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from table_def import Album, Artist

engine = create_engine('sqlite:///mymusic.db', echo=True)

# create a Session
Session = sessionmaker(bind=engine)
session = Session()

res = session.query(Artist).filter(Artist.name=="MXPX").first()

session.delete(res)
session.commit()




# The Basic SQL Queries of SQLAlchemy
# queries.py
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from table_def import Album, Artist

engine = create_engine('sqlite:///mymusic.db', echo=True)

# create a Session
Session = sessionmaker(bind=engine)
session = Session()

# how to do a SELECT * (i.e. all)
res = session.query(Artist).all()
for artist in res:
    print(artist.name)

# how to SELECT the first result
res = session.query(Artist).filter(Artist.name=="Newsboys").first()

# how to sort the results (ORDER_BY)
res = session.query(Album).order_by(Album.title).all()
for album in res:
    print(album.title)

# how to do a JOINed query
qry = session.query(Artist, Album)
qry = qry.filter(Artist.id==Album.artist_id)
artist, album = qry.filter(Album.title=="Step Up to the Microphone").first()

# how to use LIKE in a query
res = session.query(Album).filter(Album.publisher.like("S%a%")).all()
for item in res:
    print(item.publisher)





















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mysql 入门

资料 https://dinfratechsource.com/2018/11/10/how-to-install-latest-mysql-5-7-21-on-rhel-centos-7/ https://dev.mysql.com/doc/refman/5.7/en/linux-installation-yum-repo.html https://www.runoob.com/mysql/mysql-create-database.html https://www.liquidweb.com/kb/install-java-8-on-centos-7/ 工具 https://www.heidisql.com/ HeidiSQL是免费软件,其目标是易于学习。 “ Heidi”使您可以从运行数据库系统MariaDB,MySQL,Microsoft SQL或PostgreSQL的计算机上查看和编辑数据和结构 MySQL 连接时尽量使用 127.0.0.1 而不是 localhost localhost 使用的 Linux socket,127.0.0.1 使用的是 tcp/ip 为什么我使用 localhost 一直没出问题 因为你的本机中只有一个 mysql 进程, 如果你有一个 node1 运行在 3306, 有一个 node2 运行在 3307 mysql -u root -h localhost -P 3306 mysql -u root -h localhost -P 3307 都会连接到同一个 mysql 进程, 因为 localhost 使用 Linux socket, 所以 -P 字段直接被忽略了, 等价于 mysql -u root -h localhost mysql -u root -h localhost 而 -h 默认是 localhost, 又等价于 mysql -u root mysql -u root 为了避免这种情况(比如你在本地开发只有一个 mysql 进程,线上或者 qa 环境有多个 mysql 进程)最好的方式就是使用 IP mysql -u root -h 127 .0 .0 .1 -P 3307 strac...