cvat
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Optimize DB requests in project list, job list, and other endpoints
Motivation and context
- Added an option to use the organization instance from the object in question, if provided (many viewsets prefetch this)
- Removed
.first()calls, leading to extra db requests for projects - Added prefetch for source and target storages of jobs
- Optimized calls to related manifests in cloudstorages api (however, manifests should be either moved to a separate endpoint or should be limited in maximum number per CS)
- Optimized unnecessary DB requests to related models in IAM requests
All this primarily affected GET /api/projects and GET /api/jobs, but other endpoints also benefited from this a little bit.
Examples: 4 projects, > 100 tasks, > 100 jobs
Before:
After:
How has this been tested?
Checklist
- [ ] I submit my changes into the
developbranch - [ ] I have created a changelog fragment
- [ ] I have updated the documentation accordingly
- [ ] I have added tests to cover my changes
- [ ] I have linked related issues (see GitHub docs)
- [ ] I have increased versions of npm packages if it is necessary (cvat-canvas, cvat-core, cvat-data and cvat-ui)
License
- [ ] I submit my code changes under the same MIT License that covers the project. Feel free to contact the maintainers if that's a concern.
Summary by CodeRabbit
-
New Features
- Enhanced performance of data retrieval in views by optimizing related fields in the JobViewSet.
- Improved handling of organization data in permissions, ensuring more robust checks and reducing unnecessary database queries.
-
Bug Fixes
- Refined output of serialized data to include only valid task subsets and handle dimensions correctly.
-
Documentation
- Updates made to improve clarity on serialized responses and organization permission handling.
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Walkthrough
Recent updates enhance the reliability and performance of the CVAT application by improving data serialization and query optimization. Key changes include filtering empty task subsets in serializers, refining dimension retrieval logic, and expanding related fields in database queries for the JobViewSet. Additionally, the permission logic now handles organization retrieval more efficiently, returning None when inputs are invalid and checking for existing organization associations before querying the database.
Changes
| Files | Change Summary |
|---|---|
cvat/apps/engine/serializers.py |
Updated to_representation method to filter out empty task subsets and improve dimension retrieval. |
cvat/apps/engine/views.py |
Enhanced JobViewSet with additional fields in select_related to optimize database queries. |
cvat/apps/iam/permissions.py |
Modified get_organization to return None for falsy organization_id and check for existing organization associations. |
Poem
🐰 A hop, a skip, a change so grand,
In serializers' heart, we take a stand.
No empty tasks to cloud the way,
With dimensions clear, we greet the day!
Queries optimized, oh what a delight,
In CVAT’s world, everything feels right! 🌟
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/api/jobs now takes longer time (on queries metric)
Each /api/jobs/id/preview also now takes longer time (on queries metric) [significantly] In the second request we do not need many JOINS, so, I would suggest to reduce number of select_related arguments.
Codecov Report
Attention: Patch coverage is 81.81818% with 6 lines in your changes missing coverage. Please review.
Project coverage is 73.91%. Comparing base (
29cde3e) to head (04b1958). Report is 13 commits behind head on develop.
Additional details and impacted files
@@ Coverage Diff @@
## develop #8275 +/- ##
===========================================
- Coverage 73.94% 73.91% -0.03%
===========================================
Files 435 435
Lines 45595 45661 +66
Branches 3924 3924
===========================================
+ Hits 33716 33752 +36
- Misses 11879 11909 +30
| Components | Coverage Δ | |
|---|---|---|
| cvat-ui | 77.53% <ø> (-0.03%) |
:arrow_down: |
| cvat-server | 71.00% <81.81%> (-0.02%) |
:arrow_down: |
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I've increased the page_size to get more representative output:
http://localhost:7000/api/jobs?page_size=1000 (in my case it returned first 1000 of 2250 jobs).
Baseline:
Select_related (source_storage, target_storage, organization, owner), 12 joins:
Select_related (source_storage, target_storage) + prefetch_related(organization, owner), 10 joins:
And the same, but for 12 jobs (as UI presents):
I think, it makes sense to choose one of the 2 optimized variants. I think, the version with 10 joins is a good tradeoff for now, it provides a good balance between the two others.
Quality Gate passed
Issues
0 New issues
0 Accepted issues
Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code
Quality Gate passed
Issues
0 New issues
0 Accepted issues
Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code
Quality Gate passed
Issues
1 New issue
0 Accepted issues
Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code