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Home/ Questions/Q 610071
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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T17:38:07+00:00 2026-05-13T17:38:07+00:00

What is the best way to keep code modular and decoupled but avoid entering

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What is the best way to keep code modular and decoupled but avoid entering a transaction twice?

Entities often have class methods to load, modify, and store data. Often, this must be transactional to be consistent with child/sibling/cousin entities. Here is the pattern:

class MyEntity(db.Model):
  # ... some properties

  @classmethod
  def update_count(cls, my_key):
    def txn():
      me = db.get(my_key)
      me.count += 23
      me.put()
      OtherEntity.update_descendants(ancestor=me)
    return db.run_in_transaction(txn)

Usually, you should fetch entities, modify them, and store them in once block. That technique is more performant; but sometimes performance is less important than modularity and maintainability. The two updates should be decoupled. (Perhaps update_descendants is called often in isolation, and it’s responsible for storing the data.)

But, the following code is a bug:

class OtherEntity(db.Model):
  # ... some properties

  @classmethod
  def update_descendants(cls, ancestor):
    def txn(): # XXX Bug!
      descendants = cls.all().ancestor(ancestor).fetch(10)
      for descendant in descendants:
        descendant.update_yourself(ancestor.count)
      db.put(descendants)
    return db.run_in_transaction(txn)

That raises an exception:

>>> MyEntity.update_count(my_key=some_key_i_have)
Traceback (most recent call last):
  ...
BadRequestError: Nested transactions are not supported.

So how can I get the best of both worlds: modularity, and correctness?

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-13T17:38:07+00:00Added an answer on May 13, 2026 at 5:38 pm

    The pattern I use is to have a parameter indicating whether transactional behavior is required.

    class OtherEntity(db.Model):
    # ... some properties
    
    @classmethod
    def update_descendants(cls, ancestor, with_transaction=True):
      if with_transaction:
        return db.run_in_transaction(cls.update_descendants, ancestor,
                                     with_transaction=False)
    
      # Now I can assume I am in a transaction one way or another...
      descendants = cls.all().ancestor(ancestor).fetch(10)
      for descendant in descendants:
        descendant.update_yourself(ancestor.count)
      return db.put(descendants)
    

    The same principle could be expanded to indicate whether to take responsibility for the put, or to leave it to the caller.

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