Question

我无法使用SQLAlchemy创建单个表。

我可以通过调用Base.metadata.create_all(engine)来创建它，但随着表的数量增加，这个调用需要很长时间。

我即时创建表类，然后填充它们。

from sqlalchemy import create_engine, Column, Integer, Sequence, String, Date, Float, BIGINT
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

Base = declarative_base()

class HistoricDay():

    id = Column(Integer, Sequence('id_seq'), primary_key=True)
    #  Date, Open, High, Low, Close, Volume, Adj Close
    date = Column(Date)
    open = Column(Float)
    high = Column(Float)
    low = Column(Float)
    close = Column(Float)
    volume = Column(BIGINT)
    adjClose = Column(Float)

    def __init__(self, date, open, high, low, close, volume, adjClose):
        self.date = date
        self.open = open
        self.high = high
        self.low = low
        self.close = close
        self.volume = volume
        self.adjClose = adjClose

def build_daily_history_table_repr(self):
        return "<"+self.__tablename__+"('{}','{}','{}','{}','{}','{}','{}','{}')>".format(self.id, self.date, self.open, self.high, self.low, self.close, self.volume, self.adjClose)

def build_daily_history_table(ticket):
    classname = ticket+"_HistoricDay"
    globals()[classname] = type(classname, (HistoricDay,Base), {'__tablename__' : ticket+"_daily_history"})
    setattr(globals()[classname], '__repr__', build_daily_history_table_repr)

# Initialize the database :: Connection & Metadata retrieval
engine = create_engine('mysql+cymysql://root@localhost/gwc?charset=utf8&use_unicode=0', pool_recycle=3600) # ,echo = True

# SqlAlchemy :: Session setup
Session = sessionmaker(bind=engine)

# Create all tables that do not already exist
Base.metadata.create_all(engine)

# SqlAlchemy :: Starts a session
session = Session()

ticketList = getTicketList()

for ticket in ticketList:
    build_daily_history_table(ticket)
    class_name = ticket+"_HistoricDay"

    meta_create_all_timer = time.time()
    # Create all tables that do not already exist
    # globals()[class_name]('2005-07-24',0,0,0,0,0,0).create(engine)  #doesn't work
    #(globals()[class_name]).__table__.create(engine) #doesn't work
    # session.commit() #doesn't work

    #Base.metadata.create_all(engine) # works but gets very slow
    print("  meta_create_all_timer {}s".format(time.time()-meta_create_all_timer))

    data = getData(ticket)

    for m_date, m_open, m_close, m_high, m_low, m_volume, m_adjClose in data:
        entry = globals()[class_name](m_date, m_open, m_high, m_low, m_close, m_volume, m_adjClose)
        session.add(entry)

    session.commit()

我在documentation中看到你可以做到

engine = create_engine('sqlite:///:memory:')

meta = MetaData()

employees = Table('employees', meta,
    Column('employee_id', Integer, primary_key=True),
    Column('employee_name', String(60), nullable=False, key='name'),
    Column('employee_dept', Integer, ForeignKey("departments.department_id"))
)
employees.create(engine)

但是，我无法通过Table找出与declarative_base()相同的方法。

如何使用继承自declarative_base()？

的类来完成此操作

Answer 1

上面，declarative_base（）可调用从中返回一个新的基类   所有映射的类都应该继承。当类定义是   完成后，将生成一个新的Table和mapper（）。

可以通过__table__和}访问生成的表格和映射器   __mapper__属性

（来自here）

<强>因此：

def build_daily_history_table(ticket):
    classname = ticket + "_HistoricDay"
    ticket = type(classname, (Base, HistoricDay), {'__tablename__' : ticket+"_daily_history"})
    ticket.__repr__ =  build_daily_history_table_repr
    return ticket

build_daily_history_table("test").__table__.create(bind = engine)

<强>输出：

2013-10-04 22:36:53,263 INFO sqlalchemy.engine.base.Engine 
CREATE TABLE test_daily_history (
    id INTEGER NOT NULL, 
    date DATE, 
    open FLOAT, 
    high FLOAT, 
    low FLOAT, 
    close FLOAT, 
    volume BIGINT, 
    "adjClose" FLOAT, 
    PRIMARY KEY (id)
)


2013-10-04 22:36:53,263 INFO sqlalchemy.engine.base.Engine ()
2013-10-04 22:36:53,263 INFO sqlalchemy.engine.base.Engine COMMIT

归功于javex's评论/更正，或者我可能会提出类似于：

的建议

Base.metadata.tables["ticket_daily_history"].create(bind = engine)

<强>提醒：

build_daily_history_table中使用的方法可能是最不优雅的做事方式之一，主要是因为它会污染/混乱namespace。

Answer 2

要创建特定的表，只需将tables参数赋予create_all()方法即可。

Base.metadata.create_all(engine, tables=table_objects)

table_objects等于：

table_objects = [HistoricDay.__table__]

或

table_objects = [Base.metadata.tables["historicday"]]

我在这里显示了一张桌子。您可以根据需要增加表的数量。

参考： http://docs.sqlalchemy.org/en/latest/core/metadata.html#sqlalchemy.schema.MetaData.create_all

Answer 3

用一行创建所有不存在的表。默认情况下，它将检查表是否首先存在。

Base.metadata.create_all(db_engine, Base.metadata.tables.values(),checkfirst=True)

使用table_name创建一个目标表。

Base.metadata.create_all(db_engine, Base.metadata.tables[table_name],checkfirst=True)

它与declarative_base完美搭配。

from sqlalchemy.ext.declarative import declarative_base

Base = declarative_base()
TABLE_PREFIX = "decision_"


class Stock(Base):
    __tablename__ = '{}stocks'.format(TABLE_PREFIX)

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

class StagePerformance(Base):
    __tablename__ = '{}stage_performance'.format(TABLE_PREFIX)

    id = Column(Integer, primary_key=True)
    date = Column(DateTime)
    stock = relationship("Stock", back_populates="stage_performances")
    period = Column(Integer )
    open = Column(Float)
    high = Column(Float)
    low = Column(Float)
    close = Column(Float)
    change_ratio = Column(Float)
    turnover = Column(Float)
    volume = Column(Float)

如何使用SQLAlchemy只创建一个表？

3 个答案: