Manual:Database access/fr

Cet article donne un aperçu de l'accès aux bases de données et des problèmes généraux liés à ces bases dans MediaWiki.

Lorsque vous codez dans MediaWiki, vous accèdez normalement à la base de données uniquement par des fonctions dédiées de MediaWiki.

Schéma des bases de données
Pour les informations concernant le schéma de la base de données MediaWiki, telles que la description des tables et leur contenu, voir. Historiquement dans MediaWiki, ceci était aussi documenté dans, néanmoins à partir de MediaWiki 1.35, cela sera déplacé progressivement dans   comme partie de l'initiative du schéma abstrait (Abstract Schema initiative). Cela signifie que  est transformé en   par un, ce qui le rend plus facile à générer les fichiers du schéma pour prendre en charge différents moteurs de base de données.

Utiliser sql.php
MediaWiki fournit un script de maintenance pour accéder à la base de données. Exécutez depuis le répertoire de maintenance :

You can then write out database queries. Alternatively you can provide a filename, and MediaWiki will execute it, substituting any MW special variables as appropriate. Pour plus d'informations, voir.

This will work for all database backends. However, the prompt is not as full features as the command line clients that come with your database.

Utiliser le client de commande en ligne mysql
In LocalSettings.php you’ll find your wiki’s MySQL password and username, for example:

Avec SSH, connectez-vous ainsi :

Replacing  and   with the   information. You will then be prompted for your password  after which you will see the   prompt.

Niveau d'abstraction de la base de données
MediaWiki provides a database abstraction layer. Unless you are working on the abstraction layer, you should never directly call PHP's database functions (such as  or  .)

Le niveau d'abstraction est accessible via la classe. Une instance de cette classe peut être obtenue en appelant  (de préférence) ou   sur un   injecté. La fonction  est en fin de vie et ne doit pas être utilisée dans le nouveau code. Either is typically called with a single parameter, which can be the  (for read queries) or   (for write queries and read queries that need to have absolutely newest information) constant. The distinction between master and replica is important in a multi-database environment, such as Wikimedia. See the Wrapper functions section below for what you can do with the returned  object.

Result wrappers of select queries are arrays whose keys are integers starting at 1. To make a read query, something like this usually suffices:

""

Pour une requête d'écriture, utiliser un code similaire à :

""

We use the convention for read and  for write to help you keep track of whether the database object is a replica (read-only) or a master (read/write). Si vous écrivez dans un replica, le monde explosera. Or to be precise, a subsequent write query which succeeded on the master may fail when replicated to the replica due to a unique key collision. Replication on the replica will stop and it may take hours to repair the database and get it back online. Setting read_only in my.cnf on the replica will avoid this scenario, but given the dire consequences, we prefer to have as many checks as possible.

Fonctions conteneur
We provide a query function for raw SQL, but the wrapper functions like select and insert are usually more convenient. They can take care of things like table prefixes and escaping for you under some circumstances. If you really need to make your own SQL, please read the documentation for tableName and addQuotes. You will need both of them. Please keep in mind that failing to use addQuotes properly can introduce severe security holes into your wiki.

Another important reason to use the high level methods rather than constructing your own queries is to ensure that your code will run properly regardless of the database type. Currently the best support is for MySQL/MariaDB. There is also good support for SQLite, however it is much slower than MySQL or MariaDB. There is support for PostgreSQL, but it is not as stable as MySQL.

Dans la suite, nous listons les fonctions conteneur disponibles. For a detailed description of the parameters of the wrapper functions, please refer to class 's docs. Particularly see  for an explanation of the ,  ,  ,  ,  , and   parameters that are used by many of the other wrapper functions.

Fonction conteneur : select
The select function provides the MediaWiki interface for a SELECT statement. The components of the SELECT statement are coded as parameters of the select function. Exemple :

Cet exemple correspond à la requête :

Les JOINs sont également possibles; par exemple :

Cet exemple correspond à la requête :

fournit un exemple sur la manière d'utiliser les alias de tables dans les requêtes.

Les arguments sont soit des valeurs uniques (comme 'category' ou 'cat_pages > 0'), soit des tableaux si plus d'une valeur est fournie pour une position d'argument (tel que ['cat_pages > 0', $myNextCond]). If you pass in strings to the third or fifth argument, you must manually use Database::addQuotes on your values as you construct the string, as the wrapper will not do this for you. The values for table names (1st argument) or field names (2nd argument) must not be user controlled. The array construction for $conds is somewhat limited; it can only do equality and  relationships (i.e. WHERE key = 'value').

You can access individual rows of the result using a foreach loop. Once you have a row object, you can use the  operator to access a specific field. Un exemple complet serait :

Which will put an alphabetical list of categories with how many entries each category has in the variable $output. If you are outputting as HTML, ensure to escape values from the database with

Fonctions pratiques
For compatibility with PostgreSQL, insert ids are obtained using nextSequenceValue and insertId. The parameter for nextSequenceValue can be obtained from the  statement in   and always follows the format of x_y_seq, with x being the table name (e.g. page) and y being the primary key (e.g. page_id), e.g. page_page_id_seq. Par exemple :

For some other useful functions, e.g. affectedRows, numRows, etc., see Manual:Database.php.

Optimisation de la requête de base
MediaWiki developers who need to write DB queries should have some understanding of databases and the performance issues associated with them. Les correctifs contenant des fonctions particulièrement lentes ne seront pas acceptés. Unindexed queries are generally not welcome in MediaWiki, except in special pages derived from QueryPage. It's a common pitfall for new developers to submit code containing SQL queries which examine huge numbers of rows. Pensez que COUNT(*) vaut O(N); compter le nombre de lignes dans une table c'est comme compter des grains dans un seau.

Compatibilité arrère
Often, due to design changes to the DB, different DB accesses are necessary to ensure backward compatibility. This can be handled for example with the global variables and :

Réplication
Large installations of MediaWiki such as Wikipedia, use a large set of replica MySQL servers replicating writes made to a master MySQL server. It is important to understand the issues associated with this setup if you want to write code destined for Wikipedia.

C'est souvent le cas où le meilleur algorithme à utiliser pour une tâche donnée dépend du fait que la réplication est utilisée ou pas. Due to our unabashed Wikipedia-centrism, we often just use the replication-friendly version, but if you like, you can use  to check to see if replication is in use.

Latence
Lag primarily occurs when large write queries are sent to the master. Writes on the master are executed in parallel, but they are executed in serial when they are replicated to the replicas. The master writes the query to the binlog when the transaction is committed. The replicas poll the binlog and start executing the query as soon as it appears. They can service reads while they are performing a write query, but will not read anything more from the binlog and thus will perform no more writes. This means that if the write query runs for a long time, the replicas will lag behind the master for the time it takes for the write query to complete.

La latence peut s'allonger quand la charge due aux lectures trop nombreuses augmente. MediaWiki's load balancer will stop sending reads to a replica when it is lagged by more than 30 seconds. If the load ratios are set incorrectly, or if there is too much load generally, this may lead to a replica permanently hovering around 30 seconds lag.

If all replicas are lagged by more than 30 seconds (according to ), MediaWiki will stop writing to the database. All edits and other write operations will be refused, with an error returned to the user. This gives the replicas a chance to catch up. Before we had this mechanism, the replicas would regularly lag by several minutes, making review of recent edits difficult.

In addition to this, MediaWiki attempts to ensure that the user sees events occurring on the wiki in chronological order. A few seconds of lag can be tolerated, as long as the user sees a consistent picture from subsequent requests. This is done by saving the master binlog position in the session, and then at the start of each request, waiting for the replica to catch up to that position before doing any reads from it. If this wait times out, reads are allowed anyway, but the request is considered to be in "lagged replica mode". Lagged replica mode can be checked by calling. The only practical consequence at present is a warning displayed in the page footer.

Shell users can check replication lag with ; the other users with the API.

Databases often have their own monitoring systems in place as well, see for instance MariaDB (Wikimedia) and wikitech:Help:Toolforge/Database (Wikimedia Cloud VPS).

Pour éviter la latence
To avoid excessive lag, queries that write large numbers of rows should be split up, generally to write one row at a time. Multi-row INSERT ... SELECT queries are the worst offenders and should be avoided altogether. Instead do the select first and then the insert.

Even small writes can cause lag if they are done at a very high speed and replication is unable to keep up. This most commonly happens in maintenance scripts. To prevent it, you should call  after every few hundred writes. Most scripts make the exact number configurable:

Travailler avec la latence
Despite our best efforts, it's not practical to guarantee a low-lag environment. Replication lag will usually be less than one second, but may occasionally be up to 30 seconds. For scalability, it's very important to keep load on the master low, so simply sending all your queries to the master is not the answer. So when you have a genuine need for up-to-date data, the following approach is advised:


 * 1) Do a quick query to the master for a sequence number or timestamp
 * 2) Run the full query on the replica and check if it matches the data you got from the master
 * 3) If it doesn't, run the full query on the master

To avoid swamping the master every time the replicas lag, use of this approach should be kept to a minimum. In most cases you should just read from the replica and let the user deal with the delay.

Etreinte fatale
Due to the high write rate on Wikipedia (and some other wikis), MediaWiki developers need to be very careful to structure their writes to avoid long-lasting locks. By default, MediaWiki opens a transaction at the first query, and commits it before the output is sent. Locks will be held from the time when the query is done until the commit. So you can reduce lock time by doing as much processing as possible before you do your write queries. Update operations which do not require database access can be delayed until after the commit by adding an object to.

Often this approach is not good enough, and it becomes necessary to enclose small groups of queries in their own transaction. Use the following syntax:

Use of locking reads (e.g. the FOR UPDATE clause) is not advised. They are poorly implemented in InnoDB and will cause regular deadlock errors. It's also surprisingly easy to cripple the wiki with lock contention.

Instead of locking reads, combine your existence checks into your write queries, by using an appropriate condition in the WHERE clause of an UPDATE, or by using unique indexes in combination with INSERT IGNORE. Then use the affected row count to see if the query succeeded.

Schéma de la base de données
Don't forget about indexes when designing databases, things may work smoothly on your test wiki with a dozen of pages, but will bring a real wiki to a halt. See above for details.

For naming conventions, see Manual:Coding conventions/Database.

Compatibilité SQLite
When writing MySQL table definitions or upgrade patches, it is important to remember that SQLite shares MySQL's schema, but that works only if definitions are written in a specific way:


 * Primary keys must be declared within main table declaration, but normal keys should be added separately with CREATE INDEX:

However, primary keys spanning over more than one field should be included in the main table definition:


 * Don't add more than one column per statement:


 * Set explicit defaults when adding NOT NULL columns:

You can run basic compatibility checks with:



Or, if you need to test an update patch, both:


 * (with the new tables.sql)
 * Since DB patches update the tables.sql file as well, for this one you should pass in the pre-commit version of tables.sql (the file with the full DB definition). Otherwise, you can get an error if you e.g. drop an index (since it already doesn't exist in tables.sql because you just removed it).
 * Since DB patches update the tables.sql file as well, for this one you should pass in the pre-commit version of tables.sql (the file with the full DB definition). Otherwise, you can get an error if you e.g. drop an index (since it already doesn't exist in tables.sql because you just removed it).

The above assumes you're in $IP/maintenance/, otherwise, pass the full path of the file. For extension patches, use the extension's equivalent of these files.

Voir aussi

 * &mdash; If an extension requires changes to the database when MediaWiki is updated, that can be done with this hook. Users can then update their wiki by running.