¿Qué debe hacer si desea dominar las técnicas de ajuste del rendimiento de la base de datos?

Mastering database performance tuning techniques involves a combination of theoretical understanding, practical experience, and ongoing learning. Here's a structured approach you can follow: Understand Database Fundamentals: Before diving into performance tuning, make sure you have a solid understanding of database concepts, including indexing, normalization, query optimization, transactions, locking mechanisms, etc. Books, online courses, and documentation can be valuable resources for this. Learn about Your Database System: Each database system (e.g., MySQL, PostgreSQL, Oracle, SQL Server) has its own set of performance tuning techniques and tools.

To master database performance it's really important to understand the internals and intricacies of the data processing systems like distributed systems, Stream processing etc. Each system offers different optimization techniques, and understanding how each technique works is crucial for optimizing performance. Another factor to consider is understanding the costs associated with storage, I/O and CPU as these play an important role in identifying optimization opportunities. Another important factor is to understand the use cases and build accurate queries accordingly.

To get really good at making your database run faster, start by figuring out what's slowing it down. For instance, if you notice a particular search taking forever, you might tweak how the database organizes its information to speed things up. Keep testing and adjusting until everything runs smoothly, and keep an eye out for new tricks to keep improving.

Compreender a teoria do BD, inclusive os princípios de design de banco de dados e a sintaxe de consulta, é essencial. Entretanto, o conhecimento por si só não o tornará um ótimo profissional. A experiência real de consulta preenche a lacuna entre a teoria e a aplicação, permitindo que você transforme seu conhecimento em soluções práticas. Trabalhar com cenários do mundo real e exercícios de resolução de problemas lhe dará a confiança necessária para lidar com tarefas difíceis de banco de dados em sua carreira profissional.

Most databases come equipped with tools to help us view and analyze performance. This information can be accessed individually through dynamic performance views in each database type, or viewed through more comprehensive synthesized reports, such as the AWR report in Oracle. There are several key pieces of information that I typically assess first: 1. Check the 'Wait' information in the database. It's crucial to identify which Waits are predominantly causing delays. This is the starting point for optimization. 2. Analyze the Top of SQL commands related to these Waits. 3. From the SQL commands, determine which objects (tables, indexes) are having the most significant impact on performance

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In projects where your database suddenly slows down, you will need to compare historical performance data (from when things were normal) with the data from the slow period. I usually compare the following to understand what's happening: Are there any unusual Waits appearing in the database? Were the current SQL statements (during the slow period) slow before? What changes occurred between the normal and slow periods? Often, you will find some changes after analyzing these aspects. For example, a SQL command might have changed its execution strategy (instead of using Index A, it performed a full table scan, leading to a slowdown)

Multiple times, writing the query correctly can significantly improve the performance encompassing tasks like applying appropriate filters, reading only the necessary data, selecting only required columns etc. Additionally, analyzing query can improve optimization efforts by providing insights into query execution times, resource utilization, and data access patterns. Other strategies to consider, based on use cases, include data compression, sampling data, and data purging to reduce size of the data read.

Consider using innovative solutions to identify and optimize performance leveraging new technological advancements like AI. Automating identifying optimization opportunities can greatly improve the overall efficiency. Forecasting data growth can also help you plan the optimization efforts proactively rather than reactively. Also, adopt industry best practices and standards by staying updated on the latest technologies.

Many of my optimization projects are based on understanding the architecture of the database. The default configurations during installation often do not perform well in environments with large data sets or high transaction volumes. For example, in databases with continuous data changes (frequent Update, Delete, Insert commands), it's necessary to increase the configuration for the storage capacity of the files that log these changes. Specifically, in Oracle and MySQL, we increase the capacity of the Redo Log.

No começo não tenha vergonha de pedir ajudar e fazer perguntas, a duvida sanada sempre se sairá melhor que uma questão respondida na base do chute. Existe muitos sites (como o LinkedIn) onde você pode postar sua duvida e a comunidade ira te ajudar. Temos uma comunidade muito unida nesse sentido, se aproveite disso.