假设以下模型:
config.templateBody = `{
"Parameters" : {
"ThingName" : {
"Type" : "String"
},
"SerialNumber" : {
"Type" : "String"
},
"Landscape" : {
"Type" : "String",
"Default" : "WA"
},
"CertificateId" : {
"Type" : "String"
}
},
"Resources" : {
"thing" : {
"Type" : "AWS::IoT::Thing",
"Properties" : {
"ThingName" : {"Ref" : "ThingName"},
"AttributePayload" : { "version" : "v1", "serialNumber" : {"Ref" : "SerialNumber"}, "Landscape" : {"Ref" : "Landscape"}},
"ThingTypeName" : "EC"
}
},
"certificate" : {
"Type" : "AWS::IoT::Certificate",
"Properties" : {
"CertificateId": {"Ref" : "CertificateId"}
}
},
"policy" : {
"Type" : "AWS::IoT::Policy",
"Properties" : {
"PolicyDocument" : "{ \"Version\": \"2012-10-17\", \"Statement\": [{ \"Effect\": \"Allow\", \"Action\":[\"iot:Publish\"], \"Resource\": \"*\" }] }"
}
}
}
}`
var params = {
templateBody:config.templateBody,
parameters:{
ThingName: serialNumber,
SerialNumber: serialNumber,
Landscape: landscape,
CertificateId: '<id>'
},
}
const iot = new AWS.Iot();
iot.registerThing(params, function(err, data){
if (err) {
console.log("[applycert] Error while registering thing:" + err.stack);
callback(null, err);
}
此查询提供了正确的结果:
class Worker(Model):
__tablename__ = 'workers'
...
jobs = relationship('Job',
back_populates='worker',
order_by='desc(Job.started)',
lazy='dynamic')
@hybrid_property
def latest_job(self):
return self.jobs.first() # jobs already ordered descending
@latest_job.expression
def latest_job(cls):
Job = db.Model._decl_class_registry.get('Job')
return select([func.max(Job.started)]).where(cls.id == Job.worker_id).as_scalar()
class Job(Model):
...
started = db.Column(db.DateTime, default=datetime.utcnow)
worker_id = db.Column(db.Integer, db.ForeignKey('workers.id'))
worker = db.relationship('Worker', back_populates='jobs')
我假设我可以直接查询该字段,但是此查询失败:
db.session.query(Worker).join(Job.started).filter(Job.started >= datetime.datetime(2017, 5, 10, 0, 2, 45, 932983)).distinct().count()
出现此错误:
db.session.query(Worker).join(Job).filter(Worker.latest_job.started >= datetime.datetime(2017, 5, 10, 0, 2, 45, 932983)).count()
如何直接查询此属性?我在这里想念什么?
编辑1: 遵循@Ilja的建议,我尝试过:
AttributeError: Neither 'hybrid_property' object nor 'ExprComparator' object associated with Worker.latest_job has an attribute 'started'
但出现此错误:
db.session.query(Worker).\
join(Job).\
filter(Worker.latest_job >= datetime.datetime(2017, 5, 10, 0, 2, 45, 932983)).\
count()
答案 0 :(得分:1)
在SQL(类)上下文中使用时,您将从混合属性返回标量子查询,因此只需使用它就可以使用值表达式:
db.session.query(Worker).\
filter(Worker.latest_job >= datetime.datetime(2017, 5, 10, 0, 2, 45, 932983)).\
count()
在这种情况下,hybrid属性本身需要显式处理关联:
@latest_job.expression
def latest_job(cls):
Job = db.Model._decl_class_registry.get('Job')
return select([func.max(Job.started)]).\
where(cls.id == Job.worker_id).\
correlate(cls).\
as_scalar()
请注意,混合属性的Python端和SQL端之间存在一些不对称性。与在SQL中生成相关的标量子查询Job
相比,它在实例上访问时会生成最新的max(started)
对象。如果您还希望它在SQL中返回一个Job
行,则可以执行类似的操作
@latest_job.expression
def latest_job(cls):
Job = db.Model._decl_class_registry.get('Job')
return select([Job]).\
where(cls.id == Job.worker_id).\
order_by(Job.started.desc()).\
limit(1).\
correlate(cls).\
subquery()
但是实际上实际上用处不大,因为通常(但并非总是如此)这种相关子查询比结合子查询慢。例如,为了获取具有原始条件的最新职位的工人:
job_alias = db.aliased(Job)
# This reads as: find worker_id and started of jobs that have no matching
# jobs with the same worker_id and greater started, or in other words the
# worker_id, started of the latest jobs.
latest_jobs = db.session.query(Job.worker_id, Job.started).\
outerjoin(job_alias, and_(Job.worker_id == job_alias.worker_id,
Job.started < job_alias.started)).\
filter(job_alias.id == None).\
subquery()
db.session.query(Worker).\
join(latest_jobs, Worker.id == latest_jobs.c.worker_id).\
filter(latest_jobs.c.started >= datetime.datetime(2017, 5, 10, 0, 2, 45, 932983)).\
count()
当然,如果您只想计数,则根本不需要联接:
job_alias = db.aliased(Job)
db.session.query(func.count()).\
outerjoin(job_alias, and_(Job.worker_id == job_alias.worker_id,
Job.started < job_alias.started)).\
filter(job_alias.id == None,
Job.started >= datetime.datetime(2017, 5, 10, 0, 2, 45, 932983)).\
scalar()
请注意,对Query.scalar()
的调用与Query.as_scalar()
不同,只是返回第一行的第一个值。