fromsqlalchemyimportBoolean, Column, DateTime, BigIntegerfromsqlalchemyimportMetaData, String, Tablefromoslo_logimportlogaslogging LOG = logging.getLogger(__name__)defdefine_tables(meta):# 定义一个 Table 对象new_table_name = Table("new_table_name", meta, Column("created_at", DateTime), Column(...
fromsqlalchemyimportcreate_engine,inspect,Column,Integer,String,ForeignKeyfromsqlalchemy.ormimportrelationship,sessionmakerfromsqlalchemy.ext.declarativeimportdeclarative_base# 1. Define tables:Base=declarative_base()classUser(Base):__tablename__='users'id=Column(Integer,primary_key=True)name=Column(String(...
# octopunch/octopunch/db/sqlalchemy/migrate_repo/versions/001_octopunch_init.py def define_tables(meta): virtual_machines = Table( 'virtual_machines', meta, Column('uuid', String(length=45), primary_key=True, nullable=False), Column('vm_value', String(length=255)), Column('name', Stri...
示例1: define_tables ▲点赞 5▼ # 需要导入模块: import sqlalchemy [as 别名]# 或者: from sqlalchemy importDECIMAL[as 别名]defdefine_tables(cls, metadata):Table("int_seq_t", metadata, Column("id", Integer, default=Sequence("int_seq")), Column("txt", String(50)), ) Table("bigint_...
# 需要导入模块: import sqlalchemy [as 别名]# 或者: from sqlalchemy importDate[as 别名]defdefine_tables(cls, metadata):Table("users", metadata, Column("id", Integer, primary_key=True, test_needs_autoincrement=True), Column("name", String(50)), ...
# octopunch/octopunch/db/sqlalchemy/migrate_repo/versions/001_octopunch_init.pydefdefine_tables(meta): virtual_machines = Table('virtual_machines', meta, Column('uuid', String(length=45), primary_key=True, nullable=False), Column('vm_value', String(length=255)), ...
def define_tables(meta): vcenters = Table( 'vcenters', meta, Column('created_at', DateTime), Column('updated_at', DateTime), Column('deleted_at', DateTime), Column('uuid', String(length=45), primary_key=True), Column('vc_value', String(length=255)), ...
Although the top voted answer solves the issue, replacing strings with objects forces you to define tables in a specific order (which can be non-trivial for very large databases). From theSQLAlchemy docs: The advantage to using a string is that the in-python linkage between [different tables...
# ... define mappers query = Session.query(User). filter(User.somedata=='foo').order_by(User.sortkey) # pickle the query serialized = dumps(query) # unpickle. Pass in metadata + scoped_session # 上面提到过的 query和Session实际上是密不可分的 ...
New in version 0.16:scopefuncis now accepted onsession_options. It allows specifying a custom function which will define the SQLAlchemy session’s scoping. New in version 2.1: Themetadataparameter was added. This allows for setting custom naming conventions among other, non-trivial things. ...