Mercurial > kallithea
annotate docs/usage/performance.rst @ 5713:491961dfd0c8
pytest migration: files: convert to TestControllerPytest and parametrize
Migrate the 'files' tests to pytest and its parametrize decorator.
The syntax of this decorator is slightly different: a first argument is a
comma-separated string with the method argument names for which the values
are provided as second argument.
author | Thomas De Schampheleire <thomas.de.schampheleire@gmail.com> |
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date | Wed, 10 Feb 2016 18:30:27 +0100 |
parents | 55ccfc66479d |
children | 6afa528ee30e |
rev | line source |
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1 .. _performance: |
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2 |
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3 ================================ |
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4 Optimizing Kallithea performance |
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5 ================================ |
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6 |
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7 When serving a large amount of big repositories, Kallithea can start |
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8 performing slower than expected. Because of the demanding nature of handling large |
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9 amounts of data from version control systems, here are some tips on how to get |
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10 the best performance. |
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11 |
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12 * Kallithea is often I/O bound, and hence a fast disk (SSD/SAN) is |
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13 usually more important than a fast CPU. |
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14 |
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15 * Sluggish loading of the front page can easily be fixed by grouping repositories or by |
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16 increasing cache size (see below). This includes using the lightweight dashboard |
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17 option and ``vcs_full_cache`` setting in .ini file. |
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18 |
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19 Follow these few steps to improve performance of Kallithea system. |
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2680 | 21 1. Increase cache |
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22 |
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23 Tweak beaker cache settings in the ini file. The actual effect of that |
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24 is questionable. |
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25 |
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26 2. Switch from SQLite to PostgreSQL or MySQL |
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27 |
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28 SQLite is a good option when having a small load on the system. But due to |
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29 locking issues with SQLite, it is not recommended to use it for larger |
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30 deployments. Switching to MySQL or PostgreSQL will result in an immediate |
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31 performance increase. A tool like SQLAlchemyGrate_ can be used for |
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32 migrating to another database platform. |
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33 |
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34 3. Scale Kallithea horizontally |
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35 |
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36 Scaling horizontally can give huge performance benefits when dealing with |
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37 large amounts of traffic (many users, CI servers, etc.). Kallithea can be |
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38 scaled horizontally on one (recommended) or multiple machines. In order |
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39 to scale horizontally you need to do the following: |
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40 |
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41 - Each instance's ``data`` storage needs to be configured to be stored on a |
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42 shared disk storage, preferably together with repositories. This ``data`` |
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43 dir contains template caches, sessions, whoosh index and is used for |
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44 task locking (so it is safe across multiple instances). Set the |
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45 ``cache_dir``, ``index_dir``, ``beaker.cache.data_dir``, ``beaker.cache.lock_dir`` |
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46 variables in each .ini file to a shared location across Kallithea instances |
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47 - If celery is used each instance should run a separate Celery instance, but |
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48 the message broker should be common to all of them (e.g., one |
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49 shared RabbitMQ server) |
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50 - Load balance using round robin or IP hash, recommended is writing LB rules |
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51 that will separate regular user traffic from automated processes like CI |
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52 servers or build bots. |
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53 |
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54 |
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55 .. _SQLAlchemyGrate: https://github.com/shazow/sqlalchemygrate |