Databases

# Databases

Overview

Specifications

MediaWiki 1.40 officially supports several database management systems (DBMS). The selection should be based on your existing infrastructure, technical expertise, and anticipated workload. Here's a detailed breakdown of the supported options and their recommended specifications:

The "Minimum Requirements" are the absolute lowest configurations that *may* allow MediaWiki to function, but performance will likely be severely limited. "Recommended Requirements" provide a more realistic baseline for acceptable performance with moderate traffic. Higher traffic volumes and larger datasets will necessitate significantly more resources. Remember to factor in future growth when estimating database resource needs. The choice of database is often linked to the overall Server Scalability of your setup.

Use Cases

The optimal database choice depends heavily on the intended use case for your MediaWiki installation. Here's a breakdown of common scenarios and corresponding recommendations:

• **Small Wiki (less than 1000 pages, low traffic):** SQLite is *technically* feasible, but MySQL/MariaDB is generally preferred even for small wikis due to its superior performance and scalability.
• **Medium Wiki (1000-10000 pages, moderate traffic):** MySQL/MariaDB is the most common and cost-effective choice. Optimize the configuration (see Performance section).
• **Large Wiki (10000+ pages, high traffic):** PostgreSQL or Oracle are better suited for handling the increased load. Consider database clustering and replication for high availability. Utilizing an AMD Server or Intel Server with sufficient resources is critical.
• **Research Wiki (complex data structures, advanced queries):** PostgreSQL's adherence to SQL standards and support for advanced features make it a strong contender.
• **Enterprise Wiki (strict security requirements, compliance needs):** Oracle offers robust security features and compliance certifications.

Understanding the expected growth of your wiki is also crucial. Selecting a database that can scale to meet future needs will save significant time and effort in the long run. Consider the complexity of the data you will be storing; complex relationships and frequent advanced queries favor PostgreSQL. Regular Database Backups are essential regardless of the chosen database.

Performance

Optimizing database performance is critical for a responsive MediaWiki installation. Here are some key areas to focus on:

• **Indexing:** Properly indexed tables significantly speed up query execution. Analyze your query logs and add indexes to frequently queried columns.
• **Query Optimization:** Use `EXPLAIN` statements to identify slow queries and rewrite them for better performance.
• **Caching:** Utilize database caching mechanisms (e.g., query cache, result cache) to reduce the load on the database server. MediaWiki also has its own caching mechanisms that should be configured appropriately (see Caching Configuration).
• **Connection Pooling:** Reduce the overhead of establishing new database connections by using connection pooling.
• **Database Tuning:** Adjust database configuration parameters (e.g., buffer pool size, connection limits) to optimize performance for your specific workload. Refer to the documentation for your chosen DBMS.
• **Hardware:** Utilize fast storage (SSD) and sufficient RAM to ensure the database can handle the load.

The following table provides example performance metrics for different database systems under a simulated load of 100 concurrent users:

Database System	Average Page Load Time (seconds)	Queries per Second (QPS)	CPU Utilization (%)	Memory Utilization (GB)
MySQL/MariaDB	0.5	200	40	2
PostgreSQL	0.7	180	50	4
SQLite	2.0	50	80	0.5

These metrics are approximate and will vary depending on the specific hardware, configuration, and workload. Regular performance monitoring and tuning are essential. Utilizing a Content Delivery Network can also offload some of the load from your **server**.

Pros and Cons

Each database system has its strengths and weaknesses. Here's a summary:

• **MySQL/MariaDB:**
* *Pros:* Widely supported, easy to manage, good performance for most use cases, large community, cost-effective. * *Cons:* Can be less robust than PostgreSQL, potential licensing issues with certain MySQL versions.
• **PostgreSQL:**
* *Pros:* Robust, adheres to SQL standards, supports advanced features, excellent data integrity. * *Cons:* More complex to manage than MySQL/MariaDB, requires more resources, potentially slower performance for simple queries.
• **SQLite:**
* *Pros:* Simple to set up, file-based, no server process required. * *Cons:* Not scalable, limited concurrency, not suitable for production use.
• **Oracle:**
* *Pros:* Highly scalable, robust, secure, enterprise-level features. * *Cons:* Expensive, complex to manage, requires specialized expertise.

Choosing the right database involves weighing these pros and cons against your specific needs and constraints. Consider the long-term implications of your decision. Thorough testing is recommended before deploying any changes to a production environment. Remember to consult Troubleshooting Common Issues for help with any problems you encounter.

Conclusion

Selecting and configuring the appropriate database is paramount for a successful MediaWiki deployment. MySQL/MariaDB remains the most popular choice for many installations due to its balance of performance, ease of use, and cost-effectiveness. However, PostgreSQL is a viable alternative, especially for large wikis or those requiring advanced features. SQLite should only be used for small, single-user wikis or testing purposes. Careful planning, performance monitoring, and regular maintenance are essential for ensuring the long-term stability and performance of your wiki. Understanding the specifications, use cases, and potential pitfalls of each database system will empower you to make informed decisions and optimize your MediaWiki installation for optimal results. Remember to consider your Data Security requirements when choosing and configuring your database.

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