SQLAlchemy中filter()和filter

from:https://segmentfault.com/q/1010000000140472

apply the given filtering criterion to a copy of this Query, using SQL expressions.
e.g.:
session.query(MyClass).filter(MyClass.name == 'some name')

filter_by:

apply the given filtering criterion to a copy of this Query, using keyword expressions.
e.g.:
session.query(MyClass).filter_by(name = 'some name')

确实，filter用类名.属性名，比较用==，filter_by直接用属性名，比较用=
不过这个是语法小细节。

个人觉得最重要的区别是filter不支持组合查询，只能连续调用filter来变相实现。
而filter_by的参数是**kwargs，直接支持组合查询。
比如：

q = sess.query(IS).filter(IS.node == node and IS.password == password).all()
对应的sql是
SELECT tb_is.id AS tb_is_id, tb_is.node AS tb_is_node, tb_is.password AS tb_is_password, tb_is.email AS tb_is_email, tb_is.`admin` AS tb_is_admin, tb_is.contact AS tb_is_contact, tb_is.is_available AS tb_is_is_available, tb_is.is_url AS tb_is_is_url, tb_is.note AS tb_is_note

FROM tb_is

WHERE tb_is.node = %(node_1)s
and后面的条件既不报错，又不生效，很坑。

要实现组合查询，要么连续调用filter：
q = sess.query(IS).filter(IS.node == node).filter(IS.password == password).all()

或者直接用filter_by：
q = sess.query(IS).filter_by(node=node, password=password).all()

两者都对应sql：
SELECT tb_is.id AS tb_is_id, tb_is.node AS tb_is_node, tb_is.password AS tb_is_password, tb_is.email AS tb_is_email, tb_is.`admin` AS tb_is_admin, tb_is.contact AS tb_is_contact, tb_is.is_available AS tb_is_is_available, tb_is.is_url AS tb_is_is_url, tb_is.note AS tb_is_note

FROM tb_is

WHERE tb_is.password = %(password_1)s AND tb_is.node = %(node_1)s

巴特西

SQLAlchemy中filter()和filter_by()有什么区别

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