# Read Relationships Now that we know how to connect data using **relationship Attributes**, let's see how to get and read the objects from a relationship. ## Select a Hero First, add a function `select_heroes()` where we get a hero to start working with, and add that function to the `main()` function: ```Python hl_lines="3-7 14" # Code above omitted 👆 {!./docs_src/tutorial/relationship_attributes/read_relationships/tutorial001.py[ln:96-100]!} # Previous code here omitted 👈 {!./docs_src/tutorial/relationship_attributes/read_relationships/tutorial001.py[ln:110-113]!} # Code below omitted 👇 ```
👀 Full file preview ```Python {!./docs_src/tutorial/relationship_attributes/read_relationships/tutorial001.py!} ```
## Select the Related Team - Old Way Now that we have a hero, we can get the team this hero belongs to. With what we have learned **up to now**, we could use a `select()` statement, then execute it with `session.exec()`, and then get the `.first()` result, for example: ```Python hl_lines="9-12" # Code above omitted 👆 {!./docs_src/tutorial/relationship_attributes/read_relationships/tutorial001.py[ln:96-105]!} # Code below omitted 👇 ```
👀 Full file preview ```Python {!./docs_src/tutorial/relationship_attributes/read_relationships/tutorial001.py!} ```
## Get Relationship Team - New Way But now that we have the **relationship attributes**, we can just access them, and **SQLModel** (actually SQLAlchemy) will go and fetch the correspoinding data from the database, and make it available in the attribute. ✨ So, the highlighted block above, has the same results as the block below: ```Python hl_lines="11" # Code above omitted 👆 {!./docs_src/tutorial/relationship_attributes/read_relationships/tutorial001.py[ln:96-100]!} # Code from the previous example omitted 👈 {!./docs_src/tutorial/relationship_attributes/read_relationships/tutorial001.py[ln:107]!} # Code below omitted 👇 ```
👀 Full file preview ```Python {!./docs_src/tutorial/relationship_attributes/read_relationships/tutorial001.py!} ```
!!! tip The automatic data fetching will work as long as the starting object (in this case the `Hero`) is associated with an **open** session. For example, here, **inside** a `with` block with a `Session` object. ## Get a List of Relationship Objects And the same way, when we are working on the **many** side of the **one-to-many** relationship, we can get a list of of the related objects just by accessing the relationship attribute: ```Python hl_lines="9" # Code above omitted 👆 {!./docs_src/tutorial/relationship_attributes/read_relationships/tutorial002.py[ln:96-102]!} # Code below omitted 👇 ```
👀 Full file preview ```Python {!./docs_src/tutorial/relationship_attributes/read_relationships/tutorial002.py!} ```
That would print a list with all the heroes in the Preventers team:
```console $ python app.py // Automatically fetch the heroes INFO Engine SELECT hero.id AS hero_id, hero.name AS hero_name, hero.secret_name AS hero_secret_name, hero.age AS hero_age, hero.team_id AS hero_team_id FROM hero WHERE ? = hero.team_id INFO Engine [cached since 0.8774s ago] (2,) // Print the list of Preventers Preventers heroes: [ Hero(name='Rusty-Man', age=48, id=2, secret_name='Tommy Sharp', team_id=2), Hero(name='Spider-Boy', age=None, id=3, secret_name='Pedro Parqueador', team_id=2), Hero(name='Tarantula', age=32, id=6, secret_name='Natalia Roman-on', team_id=2), Hero(name='Dr. Weird', age=36, id=7, secret_name='Steve Weird', team_id=2), Hero(name='Captain North America', age=93, id=8, secret_name='Esteban Rogelios', team_id=2) ] ```
## Recap With **relationship attributes** you can use the power of common Python objects to easily access related data from the database. 😎