72 lines
3.0 KiB
Markdown
72 lines
3.0 KiB
Markdown
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Updating Friendica
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===============
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* [Home](help)
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## Using a Friendica archive
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If you installed Friendica in the ``path/to/friendica`` folder:
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1. Unpack the new Friendica archive in ``path/to/friendica_new``.
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2. Copy ``.htconfig.php``, ``photo/`` and ``proxy/`` from ``path/to/friendica`` to ``path/to/friendica_new``.
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3. Rename the ``path/to/friendica`` folder to ``path/to/friendica_old``.
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4. Rename the ``path/to/friendica_new`` folder to ``path/to/friendica``.
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5. Check your site. Note: it may go into maintenance mode to update the database schema.
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6. If everything works, just delete the ``path/to/friendica_old`` folder.
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To update Addons from an archive, simply delete the ``path/to/friendica/addon`` and replace it with the provided archive.
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## Using Git
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You can get the latest changes at any time with
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cd path/to/friendica
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git pull
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util/composer.phar install
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The addon tree has to be updated separately like so:
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cd path/to/friendica/addon
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git pull
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For both repositories:
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The default branch to use is the ``master`` branch, which is the stable version of Friendica.
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It is updated about four times a year on a fixed schedule.
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If you want to use and test bleeding edge code please checkout the ``develop`` branch.
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The new features and fixes will be merged from ``develop`` into ``master`` after a release candidate period before each release.
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Warning: The ``develop`` branch is unstable, and breaks on average once a month for at most 24 hours until a patch is submitted and merged.
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Be sure to pull frequently if you choose the ``develop`` branch.
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### Considerations before upgrading Friendica
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#### MySQL >= 5.7.4
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Starting from MySQL version 5.7.4, the IGNORE keyword in ALTER TABLE statements is ignored.
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This prevents automatic table deduplication if a UNIQUE index is added to a Friendica table's structure.
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If a DB update fails for you while creating a UNIQUE index, make sure to manually deduplicate the table before trying the update again.
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#### Manual deduplication
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There are two main ways of doing it, either by manually removing the duplicates or by recreating the table.
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Manually removing the duplicates is usually faster if they're not too numerous.
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To manually remove the duplicates, you need to know the UNIQUE index columns available in `database.sql`.
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```SQL
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SELECT GROUP_CONCAT(id), <index columns>, count(*) as count FROM users
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GROUP BY <index columns> HAVING count >= 2;
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/* delete or merge duplicate from above query */;
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```
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If there are too many rows to handle manually, you can create a new table with the same structure as the table with duplicates and insert the existing content with INSERT IGNORE.
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To recreate the table you need to know the table structure available in `database.sql`.
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```SQL
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CREATE TABLE <table_name>_new <rest of the CREATE TABLE>;
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INSERT IGNORE INTO <table_name>_new SELECT * FROM <table_name>;
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DROP TABLE <table_name>;
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RENAME TABLE <table_name>_new TO <table_name>;
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```
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This method is slower overall, but it is better suited for large numbers of duplicates.
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