3. Performance Optimizations | MariaDB High Performance

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MariaDB High Performance

By : Pierre Mavro

4.3 (13)

MariaDB High Performance

4.3 (13)

By: Pierre Mavro

Overview of this book

This book is aimed at system administrators/architects or DBAs who want to learn more about how to grow their current infrastructure to support larger traffic. Before beginning with this book, we expect you to be well-practiced with MySQL/MariaDB for common usage. You will be able to get a grasp quickly if you are comfortable with learning and building large infrastructures for MariaDB using Linux.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Performance Introduction

1. Performance Introduction

MariaDB history

Choosing the appropriate hardware

Architecture types and performances

BIOS power management optimization

Migrating from MySQL to MariaDB

Introduction to MariaDB engines

Summary

2. Performance Analysis

2. Performance Analysis

Slow queries

The explain command

Slow query logs

The show explain command

Profiling

Performance schema

User statistics

Sysbench

Percona Toolkits

Process list progression

mytop

innotop

mysqlsla

Summary

3. Performance Optimizations

3. Performance Optimizations

Resetting statistics

Global statistics

DNS connections

Maximum connections

The binlogs cache

Temporary tables

Open tables

The query cache

Optimizing storage engines

Index

mysqltuner

Summary

4. MariaDB Replication

4. MariaDB Replication

How replication works

GTID replication

Migrating from classical to GTID replication

Parallel replication

Load balancing read transactions

Use cases and troubleshooting

Summary

5. WAN Slave Architectures

5. WAN Slave Architectures

Cascade slaves

Restricting replications

Designing slave in multiple continents

SSL replication

Compression options

Summary

6. Building a Dual Master Replication

6. Building a Dual Master Replication

Dual master replication and risks

Installing and configuring a dual master

Automatic management

How to repair a dual master replication

Summary

7. MariaDB Multimaster Slaves

7. MariaDB Multimaster Slaves

Multimaster slave replication

Summary

8. Galera Cluster – Multimaster Replication

8. Galera Cluster – Multimaster Replication

How Galera Cluster works

Galera Cluster limitations

The basics of installation and configuration

Usages and understandings

Designing redundant architectures

Tests and issues

Summary

9. Spider – Sharding Your Data

9. Spider – Sharding Your Data

Configuring Spider

Creating your first shard

Sharding replication

Performance tuning

Summary

10. Monitoring

10. Monitoring

Single instance

Replication

Galera Cluster

Other monitoring solutions

Summary

11. Backups

11. Backups

Using mysqldump

Using mysqlhotcopy

LVM

Xtrabackup

Galera backup

Summary

Index

Index

The query cache

The query cache stores the results of the previously executed select statements so that they may be reused if the same query is issued again. If data is updated/added to a table, the query cache is flushed, and the data should be retrieved once again from the disk on the next SELECT query.

When there are too many concurrencies, the query cache could be a bottleneck. Depending on the size of the database and the requested access, here are two scenarios:

Smaller database, no high load traffic, no money: The query cache should help you to get fast database access
Huge database, high load traffic, money: Disable the query cache, optimize your indexes, spread the read load across several read-only replicas, and use a better caching mechanism, such as Memcache/Redis

A lot of common rules exist, but that doesn't mean they should always be applied. If you do not encounter slowdown due to the query cache, it's fine! You can even tune it to make it faster.

Understanding the query cache...

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