fa01396dfd
* Fix: selection_data re-derives the filtered document set 5 times over _get_selection_data_for_queryset() (powers ?include_selection_data=true on the document list and search endpoints) computed document_count for Correspondent/DocumentType/StoragePath/Tag/CustomField by embedding the caller's full filtered queryset -- filters plus the permission check -- as a subquery inside 5 separate Count(filter=Q(documents__in=queryset), ...) calls. Each one re-evaluates that whole queryset from scratch. Resolve the document ids once into a concrete list and reuse it across all five annotations instead. For Tag/CustomField specifically (M2M via a through-model table), also route through annotate_document_count_by_ids() -- extracted from the tag/custom-field document_count fix (#13203) -- to avoid the same Count(filter=Q(id__in=...), distinct=True)-on-an-M2M-relation anti-pattern diagnosed there. On a 400k-document/1,000-tag corpus, the correspondents portion alone previously didn't finish within several minutes (killed twice while investigating, including one run that left a zombie query still consuming a CPU 30+ minutes later). All five queries together now complete in ~30-35s. Root-caused from a real report (paperless-ngx#13201) via a different, already-fixed query (#13205) -- this one hasn't been reported in the wild yet, found by auditing the same call path. Depends on #13203 for annotate_document_count_by_ids(). Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com> * Address review feedback: drop unnecessary ordering before collecting ids queryset passed into _get_selection_data_for_queryset() carries the default/user-specified ordering, which is irrelevant once we're only collecting a flat id list. Clearing it removes a pointless sort. No measurable change in benchmarking at 400k documents -- the id-list materialization/IN-clause cost still dominates -- but it's a free, strictly-correct cleanup, not just noise-neutral in the other direction. Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
Paperless-ngx
Paperless-ngx is a document management system that transforms your physical documents into a searchable online archive so you can keep, well, less paper.
Paperless-ngx is the official successor to the original Paperless & Paperless-ng projects and is designed to distribute the responsibility of advancing and supporting the project among a team of people. Consider joining us!
Thanks to the generous folks at DigitalOcean, a demo is available at demo.paperless-ngx.com using login demo / demo. Note: demo content is reset frequently and confidential information should not be uploaded.
This project is supported by:
Features
A full list of features and screenshots are available in the documentation.
Getting started
The easiest way to deploy paperless is docker compose. The files in the /docker/compose directory are configured to pull the image from the GitHub container registry.
If you'd like to jump right in, you can configure a docker compose environment with our install script:
bash -c "$(curl -L https://raw.githubusercontent.com/paperless-ngx/paperless-ngx/main/install-paperless-ngx.sh)"
More details and step-by-step guides for alternative installation methods can be found in the documentation.
Migrating from Paperless-ng is easy, just drop in the new docker image! See the documentation on migrating for more details.
Documentation
The documentation for Paperless-ngx is available at https://docs.paperless-ngx.com.
Contributing
If you feel like contributing to the project, please do! Bug fixes, enhancements, visual fixes etc. are always welcome. If you want to implement something big: Please start a discussion about that! The documentation has some basic information on how to get started.
Community Support
People interested in continuing the work on paperless-ngx are encouraged to reach out here on github and in the Matrix Room. If you would like to contribute to the project on an ongoing basis there are multiple teams (frontend, ci/cd, etc) that could use your help so please reach out!
Translation
Paperless-ngx is available in many languages that are coordinated on Crowdin. If you want to help out by translating paperless-ngx into your language, please head over to https://crowdin.com/project/paperless-ngx, and thank you! More details can be found in CONTRIBUTING.md.
Feature Requests
Feature requests can be submitted via GitHub Discussions, you can search for existing ideas, add your own and vote for the ones you care about.
Bugs
For bugs please open an issue or start a discussion if you have questions.
Related Projects
Please see the wiki for a user-maintained list of related projects and software that is compatible with Paperless-ngx.
Important Note
Document scanners are typically used to scan sensitive documents like your social insurance number, tax records, invoices, etc. Paperless-ngx should never be run on an untrusted host because information is stored in clear text without encryption. No guarantees are made regarding security (but we do try!) and you use the app at your own risk. The safest way to run Paperless-ngx is on a local server in your own home with backups in place.