paradizelost/paperless-ngx
1
0
Fork 0
mirror of https://github.com/paperless-ngx/paperless-ngx.git synced 2025-04-02 13:45:10 -05:00
Code Issues Packages Projects Releases Wiki Activity

docs

Browse Source
This commit is contained in:
Jonas Winkler 2020-11-23 00:35:06 +01:00
parent 1e9ac63428
commit 933cbe4594
2 changed files with 18 additions and 15 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

17
docs/faq.rst
View File

@ -43,21 +43,8 @@ in your browser and paperless has to do much less work to serve the data.
.. note::
Consider setting ``PAPERLESS_OPTIMIZE_THUMBNAILS`` to false to speed up
the consumption process. This takes quite a bit of time on Raspberry Pi.
.. note::
Updating the :ref:`automatic matching algorithm <advanced-automatic_matching>`
takes quite a bit of time. However, the update mechanism checks if your
data has changed before doing the heavy lifting. If you experience the
algorithm taking too much cpu time, consider changing the schedule in the
admin interface to daily or weekly. You can also manually invoke the task
by changing the date and time of the next run to today/now.
The actual matching of the algorithm is fast and works on Raspberry Pi as
well as on any other device.
You can adjust some of the settings so that paperless uses less processing
power. See :ref:`setup-less_powerful_devices` for details.
**Q:** *How do I install paperless-ng on Raspberry Pi?*

16
docs/setup.rst
View File

@ -358,6 +358,9 @@ management commands as below.
7. Start paperless.
.. _setup-less_powerful_devices:
Considerations for less powerful devices
########################################
@ -383,5 +386,18 @@ configuring some options in paperless can help improve performance immensely:
For details, refer to :ref:`configuration`.
.. note::
Updating the :ref:`automatic matching algorithm <advanced-automatic_matching>`
takes quite a bit of time. However, the update mechanism checks if your
data has changed before doing the heavy lifting. If you experience the
algorithm taking too much cpu time, consider changing the schedule in the
admin interface to daily. You can also manually invoke the task
by changing the date and time of the next run to today/now.
The actual matching of the algorithm is fast and works on Raspberry Pi as
well as on any other device.
.. _redis: https://redis.io/