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How to Fix Identity Map Errors

DodaTech Updated 2026-06-26 1 min read

In this tutorial, you'll learn about How to Fix Identity Map Errors. We cover key concepts, practical examples, and best practices.

Fix identity map errors when same DB row loaded as multiple objects breaking identity equality.

Quick Fix

Wrong

user1=find_user(1)
user2=find_user(1)
user1.name='Alice'
user2.name='Bob'
save_user(user1)  # Alice saved
save_user(user2)  # Bob overwrites! Same row, different objects.

Two objects representing same DB row. Inconsistent updates. Last write wins, losing data.

class IdentityMap:
    def __init__(self): self._map={}
    def get(self,cls,uid): return self._map.get((cls,uid))
    def add(self,obj): self._map[(type(obj),obj.id)]=obj
    def clear(self): self._map.clear()
class UserMapper:
    def __init__(self,conn,identity_map):
        self.conn=conn; self.identity_map=identity_map
    def find(self,uid):
        cached=self.identity_map.get(User,uid)
        if cached: return cached
        row=self.conn.execute('SELECT id,name FROM users WHERE id=?',(uid,)).fetchone()
        if not row: return None
        u=User(row[1]); u.id=row[0]
        self.identity_map.add(u)
        return u
im=IdentityMap(); mapper=UserMapper(conn,im)
u1=mapper.find(1); u2=mapper.find(1); u1 is u2  # True
Identity Map ensures one object per DB row. Same row always returns same object reference.

Prevention

Identity Map ensures each DB row has exactly one in-memory object. Prevents inconsistency.

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FAQ

What is Identity Map?

Map of loaded objects by type and ID. Ensures one object per row.

Why?

Prevents two objects representing same row. Avoids lost updates and inconsistent state.

Real-world?

Hibernate session, Entity Framework DbContext. All ORMs use identity map.

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