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Home/ Questions/Q 4002992
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Editorial Team
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Editorial Team
Asked: May 20, 20262026-05-20T08:05:53+00:00 2026-05-20T08:05:53+00:00

I’m still learning my lessons about data modeling in bigtable/nosql and would appreciate some

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I’m still learning my lessons about data modeling in bigtable/nosql and would appreciate some feedback. Would it be fair to say that I should avoid parent->child relationships in my data modeling if I frequently need to deal with the children in aggregate across parents?

As an example, let’s say I’m building a blog that will be contributed to by a number of authors, and each other has posts, and each post has tags. So I could potentially set up something like this:

class Author(db.Model): 
  owner = db.UserProperty()

class Post(db.Model): 
  owner = db.ReferenceProperty(Author, 
    collection_name='posts') 
  tags = db.StringListProperty() 

As I understand this will create an entity group based on the Author parent. Does this cause inefficiency if I mostly need to query for Posts by tags which I expect to cut across multiple Authors?

I understand doing a query on list properties can be inefficient. Let’s say each post has about 3 tags on average, but could go all the way up to 7. And I expect my collection of possible tags to be in the low hundreds. Is there any benefit to altering that model to something like this?

class Author(db.Model): 
  owner = db.UserProperty()

class Post(db.Model): 
  owner = db.ReferenceProperty(Author, 
    collection_name='posts') 
  tags = db.ListProperty(db.Key)

class Tag(db.Model): 
  name = db.StringProperty() 

Or would I be better off doing something like this?

class Author(db.Model): 
  owner = db.UserProperty()

class Post(db.Model): 
  owner = db.ReferenceProperty(Author, 
    collection_name='posts')

class Tag(db.Model): 
  name = db.StringProperty() 

class PostTag(db.Model): 
  post = db.ReferenceProperty(Post, 
    collection_name='posts') 
  tag = db.ReferenceProperty(Tag, 
    collection_name='tags') 

And last question… what if my most common use case will be querying for posts by multiple tags. E.g., “find all posts with tags in {‘apples’, ‘oranges’, ‘cucumbers’, ‘bicycles’}” Is one of these approaches more appropriate for a query that looks for posts that have any of a collection of tags?

Thanks, I know that was a mouthful. 🙂

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-20T08:05:54+00:00Added an answer on May 20, 2026 at 8:05 am

    Something like the first or second approach are well suited for App Engine. Consider the following setup:

    class Author(db.Model): 
      owner = db.UserProperty()
    
    class Post(db.Model): 
      author = db.ReferenceProperty(Author, 
        collection_name='posts') 
      tags = db.StringListProperty()
    
    class Tag(db.Model): 
      post_count = db.IntegerProperty()
    

    If you use the string tag (case-normalized) as the Tag entity key_name, you can efficiently query for posts with a specific tag, or list the tags of a post, or fetch tag statistics:

    post = Post(author=some_author, tags=['app-engine', 'google', 'python'])
    post_key = post.put()
    # call some method to increment post counts...
    increment_tag_post_counts(post_key)
    
    # get posts with a given tag:
    matching_posts = Post.all().filter('tags =', 'google').fetch(100)
    # or, two tags:
    matching_posts = Post.all().filter('tags =', 'google').filter('tags =', 'python').fetch(100)
    
    # get tag list from a post:
    tag_stats = Tag.get_by_key_name(post.tags)
    

    The third approach requires additional queries or fetches for most basic operations, and it is more difficult if you want to query for multiple tags.

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