MySQL Database Design and Tuning (Paperback)
暫譯: MySQL 資料庫設計與調優 (平裝本)

Description:

The authoritative, hands-on guide to advanced MySQL programming and administration techniques for high performance is here. MySQL Performance Optimization is the only guide with coverage of both the basics and advanced topics, including reliability, performance, optimization and tuning for MySQL. This clear, concise and unique source for the most reliable MySQL performance information will show you how to:

• Deploy the right MySQL product for your performance needs.
• Set up a performance management and monitoring environment using tools from MySQL.
• Implement the right indexing strategy
• Apply good performance strategy when developing software to work with the MySQL database.
• Configure dozens of variable to correctly tune the MySQL engine.

If you deal with the intricacies and challenges of advanced MySQL functionality on a daily basis, you will be able to build on your knowledge with author Robert Schneider's real-world experiences in MySQL Performance Optimization.

 

Table of Contents:

The Purpose of This Book.

    Who Should Read This Book?

    Benefits of Using This Book

    How to Use This Book

    Information About MySQL Software and Environments

    Information About Examples

I. INTRODUCTION.

1. Setting Up an Optimization Environment.

    Pretesting Preparation

    Hardware

    Connectivity

    Software

    Data

    Your Test Plan

    Change One Variable at a Time

    Organizational Support

    After Testing Is Under Way

    Posttesting Implementation

    Recording Your Results

    Making Improvements

2. Performance Monitoring Options.

    MySQL Tools and Utilities

    Character-Based Tools and Utilities

    Graphical Tools

    Logging

    Operating System Tools

    Windows

    Linux/Unix

3. MySQL Overview and New Performance-Related Features.

    MySQL Products

    MySQL Core Technologies

    Database Storage Engines and Table Types

    Distributed Computing Technologies

    Graphical Tools and Assistants

    Connectors

    APIs

    Utilities

    Performance-Related Tools

    About the Versions Used for This Book

    MySQL Versions

    Operating Systems

    Performance-Boosting Features from Version 4.0 Onward

II. ADVANCED DATABASE DESIGN CONCEPTS.

4. Designing for Speed.

    Choosing the Right Storage Engine and Table Type

    InnoDB

    MyISAM

    MEMORY

    MERGE

    CSV

    ARCHIVE

    BerkeleyDB (BDB)

    MaxDB

    NDB

    FEDERATED

    Optimizing Table Structure

    Specifying Row Format

    Specifying Table Size

    Index Key Compression

    Checksum Integrity Management

    Column Types and Performance

    Using Views to Boost Performance

    Reduced Returned Columns

    Reduced Returned Rows

    Reduced Inefficient Joins

    Simpler Updating with Integrity Checking

    When Not to Normalize

5. Using Constraints to Improve Performance.

    UNIQUE Constraints

    PRIMARY KEY

    FOREIGN KEY

    DEFAULT and NOT NULL

    ENUM

    SET

6. Understanding the MySQL Optimizer.

    What Is an Optimizer?

    Optimizer Diagnostics and Tuning

    The ANALYZE TABLE Command

    The OPTIMIZE TABLE Command

    The EXPLAIN Command

    Helping the Optimizer

7. Indexing Strategies.

    Index Key Terms and Concepts

    Index Reports and Utilities

    SHOW INDEX

    Assisting the Optimizer with Indexes

    Index-Related Logging

    MyISAM Indexing Features

    Key Cache

    The myisamchk Utility

    Index and Table Compression

    InnoDB Indexing Features

    Index Structure and Storage

    Buffer Pool

    Memory Pool

    Adaptive Hash Index

    Automatic Foreign Key Index Generation

    Indexing Scenarios

    PRIMARY KEY

    Filter Columns

    Join Columns

    Index Cardinality

    Character Versus Numeric Indexes

    Multicolumn Indexes

    Partial Indexes

    Ascending Versus Descending Indexes

    Storing Tables in Column-Sorted Order

III. OPTIMIZING APPLICATION CODE.

8. Advanced SQL Tips.

    Improving Searches

    Leveraging Internal Engine Caches

    Controlling Data Retrieval

    Reducing Security Costs

    Off-loading Processing Work

    Boosting Join Performance

    Substring Searches

    Improving Temporary Table Performance

    Managing View Performance

    Subqueries

    Using Math Within SQL

    UNIONs

    Sorting

    HANDLER

    Improving Data Modification

    Improving INSERT

    Improving DELETE

9. Developing High-Speed Applications.

    Understanding Locking

    General Locking Overview

    InnoDB Locking Overview

    Optimal Transactions

    Key Transaction Terms and Concepts

    Cost of Transactions

    Transaction Performance Suggestions

    Stored Procedures and Functions

    Difference Between Stored Procedures and Functions

    When to Use Stored Procedures or Functions

    When Not to Use Stored Procedures or Functions

    Stored Procedure Optimization

    Triggers

    Current Trigger Limitations

    When to Use Triggers

    When Not to Use Triggers

    Writing Efficient Application Code

    General Suggestions

IV. OPTIMIZING AND TUNING THE MYSQL ENGINE.

10. General Server Performance Parameters and Tuning.

    Server Settings Scope

    Connectivity

    Creating a Connection

    Managing a Connection

    Memory Management

    Locking mysqld in Memory

    Thread Memory Settings

    MEMORY Tables

    Caching

    Application Control

    Resources

    Optimizer Control

    Concurrency

    User Resource Control

11. MyISAM Performance Enhancement.

    Optimal Data Storage

    Table Reporting and Control

    Table Maintenance and Repair

    Controlling Sorting Resources

    MyISAM and Memory

    The Key Cache

    Speeding MyISAM Operations

    Loading Information

    Improving FULLTEXT Searches

    Concurrency Considerations

12. InnoDB Performance Enhancement.

    InnoDB Storage Architecture and I/O

    Indexes

    Pages

    Extents and Segments

    Tablespaces

    Built-in Performance Enhancers

    Data Storage

    Log Files

    InnoDB and Memory

    Buffer Pool

    InnoDB Operational Control

    Thread Performance

    Improving Concurrency

    Improving Large-Scale Operations

    Speeding Up Shutdown

13. Improving Disk Speed.

    General Suggestions

    Deploying the Fastest Possible Disk Drives

    Configuring Memory Caches Correctly

    Implementing a RAID Strategy

    Distributing Temporary Directories

    MyISAM Suggestions

    Symbolic Links

    Table Compression

    InnoDB Suggestions

    Choosing the Right autoextend Setting

    Using Raw Devices

    Alternative Disk Writing Methods

    Table Defragmentation

    Operating System—Specific Disk Suggestions

    Linux/Unix Suggestions

    Windows Suggestions

14. Operating System, Web Server, and Connectivity Tuning.

    Operating System Considerations

    Assumptions

    Linux/Unix

    Windows

    Web Server Performance Considerations

    Choosing the Right Server Topology

    General PHP Suggestions

    Apache/PHP Suggestions

    Internet Information Services (IIS)/PHP Tips

    Connectivity Tuning

    Protocol Choices

    Costs of Hostname Resolution

    Costs of Creating and Destroying Connections

    Costs of SSL

15. Improving Import and Export Operations.

    Speeding Data Exports

    The Importance of Regular Exports

    Avoiding Excessive Memory Consumption

    Concurrency and Exports

    Retrieving Subsets of Information

    Copying Table Structures Without Data

    Delaying Index Re-creation–MyISAM

    Delaying Index Re-creation–InnoDB

    Preparing for Data Reload

    Accelerating Data Loading

    Managing Concurrency

    Handling Errors

    Engine-Specific Tips

V. DISTRIBUTED COMPUTING.

16. Optimal Replication.

    Introduction

    How Does Replication Work?

    Is Replication Right for You?

    Creating a Replication Strategy

    High-Performance Replication

    Network Considerations

    Master Server Performance Considerations

    Implementing Best Tuning Practices

    Managing Slave Resources

    Slave Server Performance Considerations

17. Optimal Clustering.

    Introduction

    How Does Clustering Work?

    Nodes

    Shared-Nothing

    Cluster Clients

    Storage Engine

    Transporter

    Data Distribution

    Checkpoints

    Is Clustering Right for You?

    Clustering Versus Replication

    Creating a Clustering Strategy

    Choosing the Right Version

    Cluster Topology

    Configuring MySQL Cluster for High Performance

    General Clustering Best Practices

    Network Considerations

    Transports

    Management Node Considerations

    SQL Node Considerations

    Data Node Considerations

VI. CASE STUDIES.

18. Case Study: High-Hat Delivers!

    Problem Queries

    Package Status Lookup

    Shipping Option Lookup

    Random Transaction Bottlenecks

    Diagnosis

    Solution

    Implementing These Solutions

19. Case Study: Friends Fly Free-for-All–A Promotion Gone Wrong.

    Server Availability

    Diagnosis

    Solution

    Application and Transaction Issues

    Diagnosis

    Solution

20. Case Study 3: Practice Makes Perfect.

    Data Importing

    Diagnosis

    Solution

    Clustering

    Diagnosis

    Solution

    Stored Procedures

    Diagnosis

    Solution

Index.