Google App Engine NDB: How to store document structure?

app-engine-ndb, google-app-engine, google-cloud-datastore, python

Solution

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

JsonProperty

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,})

StructuredProperty:

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()

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)

would incorrectly include `my_model`.

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

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

Problem

From App Engine NDB documentation: 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. 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, .... } } ``` 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 Thank you

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