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Merge pull request #3589 from Gu1nness/docs

A few documentation fixes for Documentation issue 19
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TW 2018-02-10 11:31:19 +01:00 committed by GitHub
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@ -16,8 +16,10 @@ fully trusted targets.
See the `installation manual`_ or, if you have already
downloaded Borg, ``docs/installation.rst`` to get started with Borg.
There is also an `offline documentation`_ available, in mutiple formats.
.. _installation manual: https://borgbackup.readthedocs.org/en/stable/installation.html
.. _offline documentation: https://readthedocs.org/projects/borgbackup/downloads
Main features
~~~~~~~~~~~~~
@ -141,6 +143,7 @@ Links
* `Releases <https://github.com/borgbackup/borg/releases>`_,
`PyPI packages <https://pypi.python.org/pypi/borgbackup>`_ and
`ChangeLog <https://github.com/borgbackup/borg/blob/master/docs/changes.rst>`_
* `Offline Documentation <https://readthedocs.org/projects/borgbackup/downloads>`_
* `GitHub <https://github.com/borgbackup/borg>`_ and
`Issue Tracker <https://github.com/borgbackup/borg/issues>`_.
* `Web-Chat (IRC) <http://webchat.freenode.net/?randomnick=1&channels=%23borgbackup&uio=MTY9dHJ1ZSY5PXRydWUa8>`_ and

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@ -306,12 +306,12 @@ all the resource usage occurs in that one process, so just add up client +
server to get the approximate resource usage.
CPU client:
borg create: does chunking, hashing, compression, crypto (high CPU usage)
chunks cache sync: quite heavy on CPU, doing lots of hashtable operations.
borg extract: crypto, decompression (medium to high CPU usage)
borg check: similar to extract, but depends on options given.
borg prune / borg delete archive: low to medium CPU usage
borg delete repo: done on the server
- **borg create:** does chunking, hashing, compression, crypto (high CPU usage)
- **chunks cache sync:** quite heavy on CPU, doing lots of hashtable operations.
- **borg extract:** crypto, decompression (medium to high CPU usage)
- **borg check:** similar to extract, but depends on options given.
- **borg prune / borg delete archive:** low to medium CPU usage
- **borg delete repo:** done on the server
It won't go beyond 100% of 1 core as the code is currently single-threaded.
Especially higher zlib and lzma compression levels use significant amounts
of CPU cycles. Crypto might be cheap on the CPU (if hardware accelerated) or