MySQL 8 Query Performance Tuning

R$ 239,72

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Descrição

Identify, analyze, and improve poorly performing queries that damage user experience and lead to lost revenue for your business. This book will help you make query tuning an integral part of your daily routine through a multi-step process that includes monitoring of execution times, identifying candidate queries for optimization, analyzing their current performance, and improving them to deliver results faster and with less overhead. Author Jesper Krogh systematically discusses each of these steps along with the data sources and the tools used to perform them.

MySQL 8 Query Performance Tuning aims to help you improve query performance using a wide range of strategies. You will know how to analyze queries using both the traditional EXPLAIN command as well as the new EXPLAIN ANALYZE tool. You also will see how to use the Visual Explain feature to provide a visually-oriented view of an execution plan. Coverage of indexes includes indexing strategies and index statistics, and you will learn how histograms can be used to provide input on skewed data distributions that the optimizer can use to improve query performance. You will learn about locks, and how to investigate locking issues. And you will come away with an understanding of how the MySQL optimizer works, including the new hash join algorithm, and how to change the optimizer's behavior when needed to deliver faster execution times. You will gain the tools and skills needed to delight application users and to squeeze the most value from corporate computing resources.

What You Will Learn

Monitor query performance to identify poor performers
Choose queries to optimize that will provide the greatest gain
Analyze queries using tools such as EXPLAIN ANALYZE and Visual Explain
Improve slow queries through a wide range of strategies
Properly deploy indexes and histograms to aid in cr

Sobre o Livro

Monitoramento de tempos de execução e seleção de consultas candidatas com ferramentas como EXPLAIN ANALYZE e Visual Explain para identificar gargalos de desempenho. O texto apresenta procedimentos práticos para priorizar otimizações com base no impacto observado em métricas de resposta.

Cobertura técnica sobre estratégias de indexação, estatísticas de índices e o uso de histograms para lidar com distribuições de dados enviesadas; há também explicações sobre o funcionamento do otimizador e o novo algoritmo de hash join. A análise de planos de execução orienta decisões para alterar o comportamento do otimizador quando necessário.

Discussão sobre concorrência e locks com métodos para investigar e mitigar contenções que afetam a latência de consultas. Práticas e ferramentas descritas visam reduzir overhead e melhorar tempos de resposta em ambientes de produção.