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* Fix typo * Again Co-authored-by: Sebastián Ramírez <tiangolo@gmail.com>
308 lines
9.7 KiB
Markdown
308 lines
9.7 KiB
Markdown
# Database to Code (ORMs)
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Here I'll tell you how **SQLModel** interacts with the database, why you would want to use it (or use a similar tool), and how it relates to SQL.
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## SQL Inline in Code
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Let's check this example of a simple SQL query to get all the data from the `hero` table:
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```SQL
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SELECT *
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FROM hero;
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```
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And that SQL query would return the table:
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<table>
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<tr>
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<th>id</th><th>name</th><th>secret_name</th><th>age</th><th>team_id</th>
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</tr>
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<tr>
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<td>1</td><td>Deadpond</td><td>Dive Wilson</td><td>null</td><td>2</td>
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</tr>
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<tr>
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<td>2</td><td>Spider-Boy</td><td>Pedro Parqueador</td><td>null</td><td>1</td>
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</tr>
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<tr>
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<td>3</td><td>Rusty-Man</td><td>Tommy Sharp</td><td>48</td><td>1</td>
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</tr>
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</table>
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This SQL language has a little **caveat**. It was not designed to be mixed with normal code in a programming language like Python. 🚨
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So, if you are working with Python, the simplest option would be to put SQL code inside a string, and send that string directly to the database.
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```Python
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statement = "SELECT * FROM hero;"
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results = database.execute(statement)
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```
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But in that case, you wouldn't have editor support, inline errors, autocompletion, etc. Because for the editor, the SQL statement is just a string of text. If you have an error, the editor wouldn't be able to help. 😔
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And even more importantly, in most of the cases, you would send the SQL strings with modifications and parameters. For example, to get the data for a *specific item ID*, a *range of dates*, etc.
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And in most cases, the parameters your code uses to query or modify the data in the database come, in some way, from an external user.
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For example, check this SQL query:
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```SQL
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SELECT *
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FROM hero
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WHERE id = 2;
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```
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It is using the ID parameter `2`. That number `2` probably comes, in some way, from a user input.
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The user is probably, in some way, telling your application:
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> Hey, I want to get the hero with ID:
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```SQL
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2
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```
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And the result would be this table (with a single row):
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<table>
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<tr>
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<th>id</th><th>name</th><th>secret_name</th><th>age</th><th>team_id</th>
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</tr>
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<tr>
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<td>2</td><td>Spider-Boy</td><td>Pedro Parqueador</td><td>null</td><td>1</td>
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</tr>
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</table>
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### SQL Injection
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But let's say that your code takes whatever the external user provides and puts it inside the SQL string before sending it to the database. Something like this:
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```Python
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# Never do this! 🚨 Continue reading.
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user_id = input("Type the user ID: ")
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statement = f"SELECT * FROM hero WHERE id = {user_id};"
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results = database.execute(statement)
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```
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If the external user is actually an attacker, they could send you a malicious SQL string that does something terrible like deleting all the records. That's called a "**SQL Injection**".
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For example, imagine that this new attacker user says:
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> Hey, I want to get the hero with ID:
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```SQL
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2; DROP TABLE hero
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```
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Then the code above that takes the user input and puts it in SQL would actually send this to the database:
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```SQL
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SELECT * FROM hero WHERE id = 2; DROP TABLE hero;
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```
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Check that section added at the end. That's another entire SQL statement:
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```SQL
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DROP TABLE hero;
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```
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That is how you tell the database in SQL to delete the entire table `hero`.
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<a href="http://www.nooooooooooooooo.com/" class="external-link" target="_blank">Nooooo!</a> We lost all the data in the `hero` table! 💥😱
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### SQL Sanitization
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The process of making sure that whatever the external user sends is safe to use in the SQL string is called **sanitization**.
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It comes by default in **SQLModel** (thanks to SQLAlchemy). And many other similar tools would also provide that functionality among many other features.
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Now you are ready for <a href="https://xkcd.com/327/" class="external-link" target="_blank">a joke from xkcd</a>:
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![Exploits of a Mom](https://imgs.xkcd.com/comics/exploits_of_a_mom.png)
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## SQL with SQLModel
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With **SQLModel**, instead of writing SQL statements directly, you use Python classes and objects to interact with the database.
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For example, you could ask the database for the same hero with ID `2` with this code:
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```Python
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user_id = input("Type the user ID: ")
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session.exec(
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select(Hero).where(Hero.id == user_id)
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).all()
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```
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If the user provides this ID:
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```SQL
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2
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```
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...the result would be this table (with a single row):
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<table>
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<tr>
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<th>id</th><th>name</th><th>secret_name</th><th>age</th><th>team_id</th>
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</tr>
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<tr>
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<td>2</td><td>Spider-Boy</td><td>Pedro Parqueador</td><td>null</td><td>1</td>
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</tr>
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</table>
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### Preventing SQL Injections
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If the user is an attacker and tries to send this as the "ID":
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```SQL
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2; DROP TABLE hero
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```
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Then **SQLModel** will convert that to a literal string `"2; DROP TABLE hero"`.
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And then, it will tell the SQL Database to try to find a record with that exact ID instead of injecting the attack.
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The difference in the final SQL statement is subtle, but it changes the meaning completely:
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```SQL
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SELECT * FROM hero WHERE id = "2; DROP TABLE hero;";
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```
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!!! tip
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Notice the double quotes (`"`) making it a string instead of more raw SQL.
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The database will not find any record with that ID:
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```SQL
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"2; DROP TABLE hero;"
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```
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Then the database will send an empty table as the result because it didn't find any record with that ID.
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Then your code will continue to execute and calmly tell the user that it couldn't find anything.
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But we never deleted the `hero` table. 🎉
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!!! info
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Of course, there are also other ways to do SQL data sanitization without using a tool like **SQLModel**, but it's still a nice feature you get by default.
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### Editor Support
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Check that Python snippet above again.
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Because we are using **standard Python classes and objects**, your editor will be able to provide you with autocompletion, inline errors, etc.
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For example, let's say you wanted to query the database to find a hero based on the secret identity.
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Maybe you don't remember how you named the column. Maybe it was:
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* `secret_identity`?
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...or was it:
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* `secretidentity`?
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...or:
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* `private_name`?
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* `secret_name`?
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* `secretname`?
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If you type that in SQL strings in your code, your editor **won't be able to help you**:
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```SQL
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statement = "SELECT * FROM hero WHERE secret_identity = 'Dive Wilson';"
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results = database.execute(statement)
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```
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...your editor will see that as a **long string** with some text inside, and it will **not be able to autocomplete** or detect the error in `secret_identity`.
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But if you use common Python classes and objects, your editor will be able to help you:
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```Python
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database.execute(
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select(Hero).where(Hero.secret_name == "Dive Wilson")
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).all()
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```
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<img class="shadow" src="/img/db-to-code/autocompletion01.png">
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## ORMs and SQL
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These types of libraries like **SQLModel** (and of course, SQLAlchemy) that translate between SQL and code with classes and objects are called **ORMs**.
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**ORM** means **Object-Relational Mapper**.
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This is a very common term, but it also comes from quite technical and **academical** concepts 👩🎓:
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* **Object**: refers to code with classes and instances, normally called "Object Oriented Programming", that's why the "**Object**" part.
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For example this class is part of that **Object** Oriented Programming:
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```Python
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class Hero(SQLModel):
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id: Optional[int] = Field(default=None, primary_key=True)
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name: str
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secret_name: str
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age: Optional[int] = None
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```
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* **Relational**: refers to the **SQL Databases**. Remember that they are also called **Relational Databases**, because each of those tables is also called a "**relation**"? That's where the "**Relational**" comes from.
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For example this **Relation** or table:
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<table>
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<tr>
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<th>id</th><th>name</th><th>secret_name</th><th>age</th><th>team_id</th>
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</tr>
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<tr>
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<td>1</td><td>Deadpond</td><td>Dive Wilson</td><td>null</td><td>2</td>
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</tr>
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<tr>
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<td>2</td><td>Spider-Boy</td><td>Pedro Parqueador</td><td>null</td><td>1</td>
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</tr>
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<tr>
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<td>3</td><td>Rusty-Man</td><td>Tommy Sharp</td><td>48</td><td>1</td>
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</tr>
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</table>
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* **Mapper**: this comes from Math, when there's something that can convert from some set of things to another, that's called a "**mapping function**". That's where the **Mapper** comes from.
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![Squares to Triangles Mapper](/img/db-to-code/mapper.svg)
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We could also write a **mapping function** in Python that converts from the *set of lowercase letters* to the *set of uppercase letters*, like this:
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```Python
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def map_lower_to_upper(value: str):
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return value.upper()
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```
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It's actually a simple idea with a very academic and mathematical name. 😅
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So, an **ORM** is a library that translates from SQL to code, and from code to SQL. All using classes and objects.
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There are many ORMs available apart from **SQLModel**, you can read more about some of them in [Alternatives, Inspiration and Comparisons](alternatives.md){.internal-link target=_blank}
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## SQL Table Names
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!!! info "Technical Background"
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This is a bit of boring background for SQL purists. Feel free to skip this section. 😉
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When working with pure SQL, it's common to name the tables in plural. So, the table would be named `heroes` instead of `hero`, because it could contain multiple rows, each with one hero.
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Nevertheless, **SQLModel** and many other similar tools can generate a table name automatically from your code, as you will see later in the tutorial.
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But this name will be derived from a class name. And it's common practice to use **singular** names for classes (e.g. `class Hero`, instead of `class Heroes`). Using singular names for classes like `class Hero` also makes your code more intuitive.
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You will see **your own code** a lot more than the internal table names, so it's probably better to keep the code/class convention than the SQL convention.
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So, to keep things consistent, I'll keep using the same table names that **SQLModel** would have generated.
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!!! tip
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You can also override the table name. You can read about it in the Advanced User Guide. |