至少在某些情况下有效的一种方法：
使用column_descriptions查询对象获取有关结果集中各列的一些信息。
首先进行示例设置：
from sqlalchemy import create_engine, MetaData,
from sqlalchemy import Column, Integer, String, Table
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
# Engine to the database to query the data from
# (postgresql)
source_engine = create_engine('sqlite:///:memory:', echo=True)
SourceSession = sessionmaker(source_engine)
# Engine to the database to store the results in
# (sqlite)
dest_engine = create_engine('sqlite:///:memory:', echo=True)
DestSession = sessionmaker(dest_engine)
# Create some toy table and fills it with some data
Base = declarative_base()
class Pet(Base):
__tablename__ = 'pets'
id = Column(Integer, primary_key=True)
name = Column(String)
race = Column(String)
Base.Metadata.create_all(source_engine)
sourceSession = SourceSession()
sourceSession.add(Pet(name="Fido", race="cat"))
sourceSession.add(Pet(name="Ceasar", race="cat"))
sourceSession.add(Pet(name="Rex", race="dog"))
sourceSession.commit()
现在到有趣的地方：
# This is the query we want to persist in a new table:
query= sourceSession.query(Pet.name, Pet.race).filter_by(race='cat')
# Build the schema for the new table
# based on the columns that will be returned
# by the query:
Metadata = MetaData(bind=dest_engine)
columns = [Column(desc['name'], desc['type']) for desc in query.column_descriptions]
column_names = [desc['name'] for desc in query.column_descriptions]
table = Table("newtable", Metadata, *columns)
# Create the new table in the destination database
table.create(dest_engine)
# Finally execute the query
destSession = DestSession()
for row in query:
destSession.execute(table.insert(row))
destSession.commit()
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