High Availability MySQL Cookbook

High Availability MySQL Cookbook

Language: English

Pages: 276

ISBN: 1847199941

Format: PDF / Kindle (mobi) / ePub

There's more than one way to achieve high availability for MySQL and this Cookbook covers a range of techniques and tools in over 60 practical recipes. The only book of its kind, you'll be learning the natural, engaging way. Overview Analyze and learn different high availability options, including clustering and replication solutions within MySQL Improve uptime of your MySQL databases with simple recipes showing powerful high availability techniques for MySQL Tune your MySQL database for optimal performance. The only complete, practical, book of MySQL high availability techniques and tools on the market Part of Packt's Cookbook series: Each recipe is a carefully organized sequence of instructions to complete the task as efficiently as possible What you will learn from this book Configure a MySQL Cluster for scaling out MySQL Learn the technique of taking online backups and recovery Achieve high availability with MySQL Replication and various tools such as the open source Multi-Master Replication Manager (MMM) and Flipper projects Configure a MySQL replication design to replicate data from one MySQL database server to one or more other MySQL database servers Master the safety tricks of replication to prevent replication failure Configure a MySQL service to work using a shared storage device to achieve high availability, with and without a clustered filesystem Learn to use the open source Global File System (GFS) to have the same file system on more than one node Achieve high availability using block level replication with Distributed Replicated Block Device (DRBD) Improve your system's performance with the technique of performance tuning Approach This book uses the approach of a cookbook. Each recipe provides the reader with easy step-by-step descriptions of the actions necessary to accomplish a specific task. It is designed to present what often appear as extremely complicated techniques as a series of simple-to

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Stays online, long enough, to update the starting node. Be aware that starting ndbd with --initial does not always delete all of the logfiles in the DataDir; you should delete these manually if you need to remove them. The cluster will go through various stages as it starts. If you run the ALL STATUS command in the management client while the nodes are starting, you will see that they start off as unconnected, then go through the startup phases, and finally are marked as started. Because often a.

And how they connect together. A node does not mean a single physical machine but a process that forms a part of a cluster. It is quite possible to run multiple nodes (that is, processes) on the same physical machine. For example, it is common to run a management node on the same host as the SQL node. The three kinds of nodes that make up a MySQL Cluster are: 1. Management node—these are the nodes that control information about the makeup of the cluster, provide a central point to collect the.

Node installation in the recipe in Chapter 1. To use this script, you will require the following:  A working installation of Perl.  The Perl DBI module (this can be installed with yum install perl-DBI, if the EPEL yum repository is installed, see Appendix A, Base Installation).  The Perl DBD::MySQL module. This does exist in the EPEL repository, but will not install if you have installed the cluster specific mysql RPM. See There's more... for instructions on how to install this on a.

Monitoring nodes must have MMM installed, and each node must be configured to join the cluster. Secondly, the MySQL server nodes must have MySQL installed and must be configured in a master-master replication agreement. Thirdly, a monitoring node (which will monitor the cluster and take actions based on what it sees) must be configured. Finally, the MMM monitoring node must be allowed to take control of the cluster. In this chapter, each of the previous four steps is a recipe in this book. The.

Requirement for a cluster is likely to be order of magnitude more than that required by a standalone MySQL server using InnoDB or MyISAM. 15 High Availability with MySQL Cluster There are two major points to consider at an early stage:    Firstly, 32-bit operating systems can have a problem allocating more than 2 gigabytes of RAM to a single process. They will also certainly have a problem addressing more than 4 GB RAM system-wide (even with special modifications to the 32-bit kernel to.

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