Google App Engine NDB:如何存储文档结构? [英] Google App Engine NDB: How to store document structure?

查看:32
本文介绍了Google App Engine NDB:如何存储文档结构?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

来自 App Engine NDB 文档:

From App Engine NDB documentation:

NDB API 在无模式对象中提供持久存储数据存储.它支持自动缓存、复杂的查询和原子交易.NDB 非常适合存储结构化数据记录.

The NDB API provides persistent storage in a schemaless object datastore. It supports automatic caching, sophisticated queries, and atomic transactions. NDB is well-suited to storing structured data records.

我想使用 NDB 创建如下结构,其中每个实例如下所示:

I want to create a structure like the following using NDB, where each instance looks like :

{
 city: 'SFO'
 date: '2013-01-27'
 data: {
           'keyword1': count1,
           'keyword2': count2,
           'keyword3': count3,
           'keyword4': count4,
           'keyword5': count5,
           ....
       }
}

如何使用 NDB 在 Google App Engine (GAE) 中设计这样一个无架构的实体?
我是 GAE 的新手,不知道如何实现这一点

How can I design such a schema-less entity in Google App Engine(GAE) using NDB?
I am new to GAE and not sure how to achieve this

谢谢

推荐答案

如果您不需要查询数据中的属性,您可以使用@voscausa 提到的属性之一:

If you don't need to query for the attributes in data you can use one of the properties as mentioned by @voscausa:

Json 属性

class MyModel(ndb.Model):
  city = ndb.StringProperty()
  date = ndb.DateProperty()
  data = ndb.JsonProperty()

my_model = MyModel(city="somewhere", 
                   date=datetime.date.today(),
                   data={'keyword1': 3,
                         'keyword2': 5,
                         'keyword3': 1,})

结构化属性:

class Data(ndb.Model):
  keyword = ndb.StringProperty()
  count = ndb.IntegerProperty()

class MyModel(ndb.Model):
  city = ndb.StringProperty()
  date = ndb.DateProperty()
  data = ndb.StructuredProperty(Data, repeated=True)

my_model = MyModel(city="somewhere", 
                   date=datetime.date.today(),
                   data=[Data(keyword="keyword1", count=3),
                         Data(keyword="keyword2", count=5),
                         Data(keyword="keyword3", count=1)])
my_model.put()

这里的问题是过滤结构化属性.关键字的属性被视为并行数组.进行查询,例如:

The problem here is filtering for structured properties. The properties of Keyword are viewed as parallel arrays. Doing a query such as:

q = MyModel.query(MyModel.data.keyword=='keyword1',
                  MyModel.data.count > 4)

会错误地包含 my_model.

https://developers.google.com/appengine/docs/python/ndb/queries#filtering_structured_properties

使用 expando 模型可以工作并允许您查询关键字:

Using an expando model would work and allow you to query for keywords:

class MyModel(ndb.Expando):
  city = ndb.StringProperty()
  date = ndb.DateProperty()

m = MyModel(city="Somewhere", date=datetime.date.today())
m.keyword1 = 3
m.keyword2 = 5
m.keyword3 = 1
m.put()

q = MyModel.query(ndb.GenericProperty('keyword1') > 2) 

https://developers.google.com/appengine/docs/python/ndb/entities#expando

这篇关于Google App Engine NDB:如何存储文档结构?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆