SQLAlchemy

SQLAlchemy:

    It is an ORM framework implemented based on Python, built on the DB API, and uses relational object mapping for database operations

component:

    .Engine frame engine

    .Connection Pooling database connection pool

    .Dialect selects the DB API type of the linked database

    .Schema/Type schema and type

    .SQL Expression Language SQL Expression Language

   

1. Execute native SQL

    import time

    import threading

    import sqlalchemy

    from sqlalchemy import create_engine

    from sqlalchemy.engine.base import Engine

    

    engine = create_engine(

        "mysql+pymysql://root:[email protected]:3306/t1?charset=utf8",

        max_overflow=0, # The maximum number of connections created outside the connection pool size

        pool_size=5, # connection pool size

        pool_timeout=30, # The maximum waiting time for no threads in the pool, otherwise an error will be reported

        pool_recycle=-1 # How long to recycle (reset) the connection for the threads in the thread pool

    )

 

    def task(arg):

        conn = engine.raw_connection()

        cursor = conn.cursor()

        cursor.execute(

            "select * from t1"

        )

        result = cursor.fetchall()

        cursor.close()

        conn.close()

 

    for i in range(20):

        t = threading.Thread(target=task, args=(i,))

        t.start()

       

SNAKE:

Single table:

 class Users(Base):

     __tablename__ = 'users'

 

     id = Column(Integer, primary_key=True)

     name = Column(String(32), index=True, nullable=False)

     # email = Column(String(32), unique=True)

     # ctime = Column(DateTime, default=datetime.datetime.now)

     # extra = Column(Text, nullable=True)

 

     __table_args__ = (

         # UniqueConstraint('id', 'name', name='uix_id_name'),

         # Index('ix_id_name', 'name', 'email'),

     )

    

One-to-many:

class Hobby(Base):

     __tablename__ = 'hobby'

     id = Column(Integer, primary_key=True)

     caption = Column(String(50), default='篮球')

 

 class Person(Base):

     __tablename__ = 'person'

     nid = Column(Integer, primary_key=True)

     name = Column(String(32), index=True, nullable=True)

     hobby_id = Column(Integer, ForeignKey("hobby.id"))

 

     # has nothing to do with the structure of the generated table, it is only used for query convenience

     hobby = relationship("Hobby", backref='pers')

Many-to-many:

class Server2Group(Base):

    __tablename__ = 'server2group'

    id = Column(Integer, primary_key=True, autoincrement=True)

    server_id = Column(Integer, ForeignKey('server.id'))

    group_id = Column(Integer, ForeignKey('group.id'))

 

class Group(Base):

    __tablename__ = 'group'

    id = Column(Integer, primary_key=True)

    name = Column(String(64), unique=True, nullable=False)

 

    # has nothing to do with the structure of the generated table, it is only used for query convenience

    servers = relationship('Server', secondary='server2group', backref='groups')

 

class Server(Base):

    __tablename__ = 'server'

 

    id = Column(Integer, primary_key=True, autoincrement=True)

    hostname = Column(String(64), unique=True, nullable=False)

 

def init_db():

    """

    Create database table from class

    :return:

    """

    engine = create_engine(

        "mysql+pymysql://root:[email protected]:3306/s6?charset=utf8",

        max_overflow=0, # The maximum number of connections created outside the connection pool size

        pool_size=5, # connection pool size

        pool_timeout=30, # The maximum waiting time for no threads in the pool, otherwise an error will be reported

        pool_recycle=-1 # How long to recycle (reset) the connection for the threads in the thread pool

    )

    Base.metadata.create_all(engine)

 

def drop_db():

    """

    Drop database table based on class

    :return:

    """

    engine = create_engine(

        "mysql+pymysql://root:[email protected]:3306/s6?charset=utf8",

        max_overflow=0, # The maximum number of connections created outside the connection pool size

        pool_size=5, # connection pool size

        pool_timeout=30, # The maximum waiting time for no threads in the pool, otherwise an error will be reported

        pool_recycle=-1 # How long to recycle (reset) the connection for the threads in the thread pool

    )

 

    Base.metadata.drop_all(engine)

 

if __name__ == '__main__':

    drop_db()

    init_db()

   

Basic operation:

 import time

 import threading

 

 from sqlalchemy.ext.declarative import declarative_base

 from sqlalchemy import Column, Integer, String, ForeignKey, UniqueConstraint, Index

 from sqlalchemy.orm import sessionmaker, relationship

 from sqlalchemy import create_engine

 from sqlalchemy.sql import text

 

 from db import Users, Hosts

 

 engine = create_engine("mysql+pymysql://root:[email protected]:3306/s6", max_overflow=0, pool_size=5)

 Session = sessionmaker(bind=engine)

 

 session = Session()

 

 # ################ Add to################

 """

 obj1 = Users(name="wupeiqi")

 session.add(obj1)

 

 session.add_all([

     Users(name="wupeiqi"),

     Users(name="alex"),

     Hosts(name="c1.com"),

 ])

 session.commit()

 """

 # ################ delete################

 """

 session.query(Users).filter(Users.id > 2).delete()

 session.commit()

 """

 # ################ Revise################

 """

 session.query(Users).filter(Users.id > 0).update({"name" : "099"})

 session.query(Users).filter(Users.id > 0).update({Users.name: Users.name + "099"}, synchronize_session=False)

 session.query(Users).filter(Users.id > 0).update({"age": Users.age + 1}, synchronize_session="evaluate")

 session.commit()

 """

 # ################ Inquire################

 """

 r1 = session.query(Users).all()

 r2 = session.query(Users.name.label('xx'), Users.age).all()

 r3 = session.query(Users).filter(Users.name == "alex").all()

 r4 = session.query(Users).filter_by(name='alex').all()

 r5 = session.query(Users).filter_by(name='alex').first()

 r6 = session.query(Users).filter(text("id<:value and name=:name")).params(value=224, name='fred').order_by(Users.id).all()

 r7 = session.query(Users).from_statement(text("SELECT * FROM users where name=:name")).params(name='ed').all()

 """

 session.close()

 # condition

 ret = session.query(Users).filter_by(name='alex').all()

 ret = session.query(Users).filter(Users.id > 1, Users.name == 'eric').all()

 ret = session.query(Users).filter(Users.id.between(1, 3), Users.name == 'eric').all()

 ret = session.query(Users).filter(Users.id.in_([1,3,4])).all()

 ret = session.query(Users).filter(~Users.id.in_([1,3,4])).all()

 ret = session.query(Users).filter(Users.id.in_(session.query(Users.id).filter_by(name='eric'))).all()

 from sqlalchemy import and_, or_

 ret = session.query(Users).filter(and_(Users.id > 3, Users.name == 'eric')).all()

 ret = session.query(Users).filter(or_(Users.id < 2, Users.name == 'eric')).all()

 ret = session.query(Users).filter(

     or_(

         Users.id < 2,

         and_(Users.name == 'eric', Users.id > 3),

         Users.extra != ""

     )).all()

 # wildcard

 ret = session.query(Users).filter(Users.name.like('e%')).all()

 ret = session.query(Users).filter(~Users.name.like('e%')).all()

 # limit

 ret = session.query(Users)[1:2]

 # sort

 ret = session.query(Users).order_by(Users.name.desc()).all()

 ret = session.query(Users).order_by(Users.name.desc(), Users.id.asc()).all()

 # grouping

 from sqlalchemy.sql import func

 ret = session.query(Users).group_by(Users.extra).all()

 ret = session.query (

     func.max(Users.id),

     func.sum(Users.id),

     func.min(Users.id)).group_by(Users.name).all()

 ret = session.query (

     func.max(Users.id),

     func.sum(Users.id),

     func.min(Users.id)).group_by(Users.name).having(func.min(Users.id) >2).all()

 # concatenated table

 ret = session.query(Users, Favor).filter(Users.id == Favor.nid).all()

 ret = session.query(Person).join(Favor).all()

 ret = session.query(Person).join(Favor, isouter=True).all()

 

 # Combination

 q1 = session.query(Users.name).filter(Users.id > 2)

 q2 = session.query(Favor.caption).filter(Favor.nid < 2)

 ret = q1.union(q2).all()

 

 q1 = session.query(Users.name).filter(Users.id > 2)

 q2 = session.query(Favor.caption).filter(Favor.nid < 2)

 ret = q1.union_all(q2).all()   

 

Query by relation:

 engine = create_engine("mysql+pymysql://root:[email protected]:3306/s6?charset=utf8", max_overflow=0, pool_size=5)

 Session = sessionmaker(bind=engine)

 session = Session()

 # Add to

 """

 session.add_all([

     Hobby(caption='table tennis'),

     Hobby(caption='Badminton'),

     Person(name='Zhang San', hobby_id=3),

     Person(name='Li Si', hobby_id=4),

 ])+

 person = Person(name='Zhang Jiu', hobby=Hobby(caption='Girl'))

 session.add(person)

 hb = Hobby(caption='shemale')

 hb.pers = [Person(name='Wenfei'), Person(name='Boya')]

 session.add(hb)

 session.commit()

 """

 # Use relationship forward query

 """

 v = session.query(Person).first()

 print(v.name)

 print(v.hobby.caption)

 """

 # Use relationship reverse query

 """

 v = session.query(Hobby).first()

 print(v.caption)

 print(v.pers)

 """

 session.close()

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