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# Table of Contents
- [SQLAlchemy Anti-Patterns ](#sqlalchemy-anti-patterns )
- [Abusing lazily loaded relationships ](#abusing-lazily-loaded-relationships )
- [Explicit session passing ](#explicit-session-passing )
- [Implicit transaction handling ](#implicit-transaction-handling )
- [Loading the full object when checking for object existence ](#loading-the-full-object-when-checking-for-object-existence )
- [Using identity as comparator ](#using-identity-as-comparator )
- [Returning `None` instead of raising a `NoResultFound` exception ](#returning-none-instead-of-raising-a-noresultfound-exception )
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# SQLAlchemy Anti-Patterns
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This is a list of what I consider [SQLAlchemy ](http://www.sqlalchemy.org/ )
anti-patterns.
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## Abusing lazily loaded relationships
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Bad:
```python
class Customer(Base):
@property
def has_valid_toast(self):
"""Return True if customer has at least one valid toast."""
return any(toast.kind == 'brioche' for toast in self.toaster.toasts)
```
This suffers from severe performance inefficiencies:
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- The toaster will be loaded, as well as its toast. This involves creating and
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issuing the SQL query, waiting for the database to return, and instantiating
all those objects.
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- `has_valid_toast` does not actually care about those objects. It just returns
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a boolean.
A better way would be to issue a SQL `EXISTS` query so that the database
handles this check and only returns a boolean.
Good:
```python
class Customer(Base):
@property
def has_valid_toast(self):
"""Return True if customer has at least one valid toast."""
query = (session.query(Toaster)
.join(Toast)
.with_parent(self)
.filter(Toast.kind == 'brioche'))
return session.query(query.exists()).scalar()
```
This query might not always be the fastest if those relationships are small,
and eagerly loaded.
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## Explicit session passing
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TODO
Bad:
```python
def toaster_exists(toaster_id, session):
...
```
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## Implicit transaction handling
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TODO
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## Loading the full object when checking for object existence
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Bad:
```python
def toaster_exists(toaster_id):
return bool(session.query(Toaster).filter_by(id=toaster_id).first())
```
This is inefficient because it:
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- Queries all the columns from the database (including any eagerly loaded joins)
- Instantiates and maps all data on the Toaster model
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The database query would look something like this. You can see that all columns
are selected to be loaded by the ORM.
```sql
SELECT toasters.id AS toasters_id, toasters.name AS toasters_name,
toasters.color AS toasters_color
FROM toasters
WHERE toasters.id = 1
LIMIT 1 OFFSET 0
```
And then it just checks if the result is truthy.
Here's a better way to do it:
```python
def toaster_exists(toaster_id):
query = session.query(Toaster).filter_by(id=toaster_id)
return session.query(query.exists()).scalar()
```
In this case, we just ask the database about whether a record exists with this
id. This is obviously much more efficient.
```sql
SELECT EXISTS (SELECT 1
FROM toasters
WHERE toasters.id = 1) AS anon_1
```
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## Using identity as comparator
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Bad:
```python
toasters = session.query(Toaster).filter(Toaster.deleted_at is None).all()
```
Unfortunately this won't work at all. This query will return all toasters,
including the one that were deleted.
The way sqlalchemy works is that it overrides the magic comparison methods
(`__eq__`, `__lt__` , etc.). All comparison methods can be overrode except the
identity operator (`is`) which checks for objects identity.
What this means is that expression `Toaster.deleted_at is None` will be
immediately evaluated by the Python interpreter, and since (presumably)
`Toaster.deleted_at` is a `sqlalchemy.orm.attributes.InstrumentedAttribute` ,
it's not `None` and thus it's equivalent to doing:
```python
toasters = session.query(Toaster).filter(True).all()
```
Which obviously renders the filter inoperable, and will return all records.
There's two ways to fix it:
```python
toasters = session.query(Toaster).filter(Toaster.deleted_at == None).all()
```
Here we use the equality operator, which Python allows overriding. Behind the
scene, Python calls `Toaster.deleted_at.__eq__(None)` , which gives SQLAlchemy
the opportunity to return a comparator that when coerced to a string, will
evaluate to `deleted_at is NULL` .
Most linter will issue a warning for equality comparison against `None` , so you
can also do (this is my preferred solution):
```python
toasters = session.query(Toaster).filter(Toaster.deleted_at.is_(None)).all()
```
See docs for
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[is\_ ](http://docs.sqlalchemy.org/en/rel_1_0/core/sqlelement.html#sqlalchemy.sql.operators.ColumnOperators.is_ ).
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## Returning `None` instead of raising a `NoResultFound` exception
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See [Returning nothing instead of raising NotFound exception ](https://github.com/charlax/antipatterns/blob/master/code-antipatterns.md#returning-nothing-instead-of-raising-notfound-exception ).