[英]Flask-marshmallow dump of flask-sqlalchemy outer join returns empty
[英]Aggreate join query using Flask-SQLAlchemy and Flask-Marshmallow
我正在使用Flask-SQLAlchemy和Flask-Marshmallow来针对SQL Server实例提取数据。 我正在尝试复制的查询看起来像这样
SELECT
o.[ProductId],
[AccountName] = a.[Name],
[AccountDescription] = a.[Description],
[TotalSize] = SUM(d.[Size])
FROM
[OrderDetail] d
JOIN
[Order] o
ON
d.[OrderId] = o.[Id]
JOIN
[Account] a
ON
d.[AccountId] = a.[Id]
WHERE
o.[Timestamp] <= @asOfDate
GROUP BY
o.[ProductId],
a.[Name],
a.[Description]
我很难将其转换为SQLAlchemy,特别是Flask-SQLAlchemy,它似乎有一种略微不同的做法。
这是我的尝试,位于我的路线功能中。 此查询执行,但针对服务器运行的SQL只是三个表的连接 - 它不执行聚合或分组。 我认为它也选择了每一列,而不仅仅是我在with_entities
指定的with_entities
。
"""views.py"""
@app.route('/product_sizes')
def get_product_sizes() -> Response:
as_of_date_str = request.args.get('asOfDate')
query = OrderDetail.query
.with_entities(Order.product_id.label('product_id'),
Account.name.label('account_name'),
Account.description.label('account_description'),
func.sum(OrderDetail.size).label('total_size')) \
.group_by('product_id', 'account_name', 'account_description')
if as_of_date_str:
as_of_date = datetime.strptime(as_of_date_str, '%Y-%m-%d')
query = query.join(OrderDetail.order).filter(Order.timestamp <= as_of_date)
result = schemas.product_size_schema.dump(query).data
json_string = json.dumps(result, cls=DefaultJsonEncoder)
return Response(response=json_string, status=200, mimetype="application/json")
我的问题是
join
似乎是多余的 - 这个连接是否已经在db.relationship
属性中编码了? 我的模型和架构如下。
"""models.py"""
class Account(db.Model):
_id = db.Column('Id', db.Integer, primary_key=True)
name = db.Column('Name', db.Unicode(250))
description = db.Column('Description', db.Unicode)
class Order(db.Model):
_id = db.Column('Id', db.Integer, primary_key=True)
product_id = db.Column('ProductId', db.Integer)
timestamp = db.Column('TradeTimestamp', db.DateTime)
class OrderDetail(db.Model):
_id = db.Column('Id', db.Integer, primary_key=True)
order_id = db.Column('OrderId', db.ForeignKey('Order.Id'), index=True)
account_id = db.Column('AccountId', db.ForeignKey('Account.Id'), index=True)
size = db.Column('Size', db.Numeric(19, 6), nullable=False)
account = db.relationship('Account', primaryjoin='OrderDetail.account_id == Account._id', backref='order_details', lazy='joined')
order = db.relationship('Trade', primaryjoin='OrderDetail.order_id == Order._id', backref='order_details', lazy='joined')
"""schemas.py"""
class ProductSizeSchema(ma.ModelSchema):
"""Schema for serializing product size objects"""
product_id = fields.Int()
account_name = fields.Str()
account_description = fields.Str()
total_size = fields.Decimal(19, 6)
product_size_schema = ProductSizeSchema()
product_sizes_schema = ProductSizeSchema(many=True)
环顾四周后,我读到如果不方便的话,不使用Flask-SQLAlchemy查询方法(例如, MyModel.query.<something>
)并不是MyModel.query.<something>
。 所以我只是以正常的SQLAlchemy方式使用db.session.query()
。
query = db.session \
.query(Order.instrument_id,
Account.name.label("account_name"),
Account.description.label("account_description"),
func.sum(OrderDetail.size).label("total_size")) \
.join(OrderDetail.order) \
.join(OrderDetail.account) \
.group_by(Order.instrument_id, Account.name, Account.description)
if as_of_date_str:
as_of_date = datetime.strptime(as_of_date_str, '%Y-%m-%d')
query = query.filter(Order.timestamp <= as_of_date)
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