Use generators instead of list comprehension#4768
Open
CrystalPea wants to merge 1 commit intomainfrom
Open
Conversation
To make tasks faster and more memory-efficient. For example (Notification.id.in_(n.id for n in notifications) is twice as fast as a generator than it is as a list comprehension. Generators are also more memory efficient.
d2c5ff4 to
05d0b90
Compare
quis
reviewed
Mar 10, 2026
|
|
||
| Notification.query.filter( | ||
| Notification.id.in_([n.id for n in notifications]), | ||
| Notification.id.in_(n.id for n in notifications), |
Member
There was a problem hiding this comment.
The SQLAlchemy source is too convoluted to work out exactly how this will behave but I would be very wary of inadvertent generator exhaustion here.
The documentation says to use a list (although it doesn’t say not to use a generator).
I’d consider carefully:
- how much time/memory this is saving in the overall context of a request/task
- the complexity cost and potential for introducing subtle errors
- how good this function’s test coverage is
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
to make tasks faster and more memory-efficient.
For example (Notification.id.in_(n.id for n in notifications) is twice as fast as a generator than it is as a list comprehension.
Generators are also more memory efficient.