Table of Contents
ClusterControl on Puppet Forge
Severalnines Package Repository
Installing ClusterControl with Puppet
Example Node Definition for Other Clusters
MySQL Cluster
MySQL Replication
MongoDB/TokuMX Replica Set
MongoDB/TokuMX Sharded Cluster
Home Database Mysql Tutorial ClusterControl Module for Puppet_MySQL

ClusterControl Module for Puppet_MySQL

May 31, 2016 am 08:46 AM

July 7, 2014

By Severalnines

If you are automating your infrastructure using Puppet, then this blog is for you. We are glad to announce the availability of a Puppet module for ClusterControl. For those using Chef, we already publishedChef cookbooksfor Galera Cluster and ClusterControl some time back.  

ClusterControl Module for Puppet_MySQL

ClusterControl on Puppet Forge

The ClusterControl module initial release is available on Puppet Forge , installing the module is as easy as:

$ puppet module install severalnines-clustercontrol
Copy after login

If you haven’t change the default module path, this module will be installed under /etc/puppet/modules/clustercontrol on your Puppet master host. ClusterControl supports following database clusters:

  • Galera Cluster
    • MySQL Galera Cluster by Codership
    • Percona XtraDB Cluster by Percona
    • MariaDB Galera Cluster by MariaDB
  • MySQL Cluster
  • MySQL Replication
  • MongoDB or TokuMX Clusters
    • Sharded Cluster
    • Replica Set

Severalnines Package Repository

This module makes use of the Severalnines repository for yum and apt packages. This repository hosts the latest stable release of ClusterControl and all of its components.

ClusterControl and all of its components requires post-installation procedures, like setting up MySQL, granting users, setting up Apache and etc. This module will automate most of these.

If you lookup the Severalnines package repository, you will find the following packages:

  • clustercontrol - Severalnines ClusterControl Web Application. Frontend for clustercontrol-controller. Previously known as cc-ui.
  • clustercontrol-cmonapi - Severalnines ClusterControl REST API. Previously known as cc-cmonapi.
  • cmon-agent - Agent for ClusterControl. Manage and monitor MySQL, MySQL Cluster and Galera Cluster for MySQL
  • cmon-controller - ClusterControl Controller. Manage and monitor MySQL, MySQL Cluster and Galera Cluster for MySQL

The Severalnines Repository installation instructions are available at http://repo.severalnines.com .

Installing ClusterControl with Puppet

We’ll now show you how to deploy ClusterControl on top of an existing database cluster using the ClusterControl Puppet module.

This module requires the following criteria to be met:

  • The node for ClusterControl must be a clean/dedicated host.
  • ClusterControl node must be running on 64bit OS platform and together with the same OS distribution with the monitored DB hosts. Mixing Debian with Ubuntu and CentOS with Red Hat is acceptable.
  • ClusterControl node must have an internet connection during the deployment. After the deployment, ClusterControl does not need internet access.
  • Make sure your database cluster is up and running before doing this deployment.

**Please review the module’s requirement available at Puppet Forge for more details.

Now we should have the Puppet module installed. The first thing that we need to do is to generate a SSH key. ClusterControl requires a proper configuration of passwordless SSH using SSH key. It also needs an API token. The following are two pre-deployment steps that you need to complete:

1. Generate a SSH key:

$ bash /etc/puppets/modules/clustercontrol/files/s9s_helper.sh --generate-key
Copy after login

** This step is compulsory. The above command will generate a RSA key (if not exists) to be used by the module and the key must exist in the Puppet master module's directory before the deployment begins.

2. Generate an API token:

$ bash /etc/puppets/modules/clustercontrol/files/s9s_helper.sh --generate-tokenb7e515255db703c659677a66c4a17952515dbaf5
Copy after login

** Copy the generated token and specify in the node definition under api_token .

Both steps described above need to be executed once (unless you intentionally want to regenerate them all). Now, we can configure the database nodes to be managed, as per example architectures below:

ClusterControl Module for Puppet_MySQL

As illustrated in the above figure, we have a three-node Percona XtraDB Cluster running on CentOS 6.5 64bit. The SSH user is root and the MySQL datadir is using the default /var/lib/mysql .

Therefore, the node definition in Puppet master would be as simple as:

# ClusterControl hostnode "clustercontrol.local" {	class { 'clustercontrol':		is_controller => true,		email_address => 'admin@localhost.xyz',		mysql_server_addresses => '192.168.1.11,192.168.1.12,192.168.1.13',		api_token => 'b7e515255db703c659677a66c4a17952515dbaf5'	}}# Monitored DB hostsnode "galera1.local", "galera2.local", "galera3.local" {	class {'clustercontrol':		is_controller => false,		mysql_root_password => 'r00tpassword',		clustercontrol_host => '192.168.1.10'	}}
Copy after login

Once done, you can either instruct the agent to pull the configuration from the Puppet master and apply it immediately:

$ puppet agent -t
Copy after login

Or, wait for the Puppet agent service to apply the catalog automatically (depending on the runinterval value, default is 30 minutes). Once completed, open the ClusterControl UI page at http://[ClusterControl IP address]/clustercontrol and login using the specified email address with default password ‘admin’.

You should see something similar to below:

ClusterControl Module for Puppet_MySQL

Take note that this module will install the RSA key at $HOME/.ssh/id_rsa_s9s . Details of this in the Puppet Forge readme page.

Example Node Definition for Other Clusters

MySQL Cluster

For MySQL Cluster, extra options are needed to allow ClusterControl to manage your management and data nodes. You may also need to add NDB data directory (e.g /mysql/data ) into the datadir list so ClusterControl knows which partition is to be monitored. In the following example, /var/lib/mysql is mysql API datadir and /mysql/data is NDB datadir.

The following figure shows our MySQL Cluster architecture running on Debian 7 (Wheezy) 64bit:

ClusterControl Module for Puppet_MySQL

The node definition would be:

# ClusterControl hostnode "clustercontrol.local" {	class { 'clustercontrol':		is_controller => true,		email_address => 'admin@localhost.xyz',		cluster_type => 'mysqlcluster',		mysql_server_addresses => '192.168.1.11,192.168.1.12',		mgmnode_addresses => '192.168.1.11,192.168.1.12',		datanode_addresses => '192.168.1.13,192.168.1.14',		datadir => '/var/lib/mysql,/mysql/data',		api_token => 'b7e515255db703c659677a66c4a17952515dbaf5'	}}# Monitored DB hostsnode "mysql1.local", "mysql2.local", "data1.local", "data2.local" {	class {'clustercontrol':		is_controller => false,		mysql_root_password => 'dpassword',		clustercontrol_host => '192.168.1.10'	}}
Copy after login

MySQL Replication

MySQL Replication node definition will be similar to Galera cluster’s. In following example, we have a three-node MySQL Replication running on RHEL 6.5 64bit on Amazon AWS. The SSH user is ec2-user with passwordless sudo:

ClusterControl Module for Puppet_MySQL

The node definition would be:

# ClusterControl hostnode "clustercontrol.local" {	class { 'clustercontrol':		is_controller => true,		email_address => 'admin@localhost.xyz',		ssh_user => 'ec2-user',		cluster_type => 'replication',		mysql_server_addresses => 'mysql-master.aws,mysql-slave1.aws,mysql-slave2.aws',		api_token => 'b7e515255db703c659677a66c4a17952515dbaf5'	}}# Monitored DB hostsnode "mysql-master.aws", "mysql-slave1.aws", "mysql-slave2.aws" {	class {'clustercontrol':		is_controller => false,		mysql_root_password => 'dpassword',		clustercontrol_host => 'clustercontrol.aws'	}}
Copy after login

MongoDB/TokuMX Replica Set

The MongoDB Replica Set runs on Ubuntu 12.04 LTS 64bit with sudo user ubuntu and password 'mySuDOpassXXX'. There is also an arbiter node running on mongo3.local . In MongoDB, the module does not require mysql_cmon_password and mysql_root_password which specifically for MySQL granting.

ClusterControl Module for Puppet_MySQL

The node definition would be:

# Monitored mongoDB hostsnode 'mongo1.local', 'mongo2.local', 'mongo3.local' {	class {'clustercontrol' :		is_controller => false,		ssh_user	=> 'ubuntu',		clustercontrol_host => '192.168.1.40'	}}# ClusterControl hostnode 'clustercontrol.local' {	class {'clustercontrol' :		is_controller => true,		ssh_user	=> 'ubuntu',		sudo_password => 'mySuDOpassXXX',		email_address => 'admin@localhost.xyz',		cluster_type=> 'mongodb',		mongodb_server_addresses => 'mongo1.local:27017,mongo2.local:27017',		mongoarbiter_server_addresses => 'mongo3.local:30000',		datadir => '/var/lib/mongodb',		api_token => 'b7e515255db703c659677a66c4a17952515dbaf5'	}}
Copy after login

MongoDB/TokuMX Sharded Cluster

MongoDB Sharded Cluster needs to have mongocfg_server_addresses and mongos_server_addresses options specified. The mongodb_server_addresses value should be to the list of shard servers in the cluster. In the below example, we have a three-node MongoDB Sharded Cluster running on CentOS 5.6 64bit with 2 mongos nodes, 3 shard servers and 3 config servers:

ClusterControl Module for Puppet_MySQL

The node definition would be:

# Monitored mongoDB hostsnode 'mongo1.local', 'mongo2.local', 'mongo3.local' {	class {'clustercontrol' :		is_controller => false,		clustercontrol_host => '192.168.1.40'	}}# ClusterControl hostnode 'clustercontrol.local' {	class {'clustercontrol' :		is_controller => true,		email_address => 'admin@localhost.xyz',		cluster_type=> 'mongodb',		mongodb_server_addresses => '192.168.1.41:27018,192.168.1.42:27018,192.168.1.43:27018',		mongocfg_server_addresses => '192.168.1.41:27019,192.168.1.42:27019,192.168.1.43:27019',		mongos_server_addresses => '192.168.1.41:27017,192.168.1.42:27017',		datadir => '/var/lib/mongodb',		api_token => 'b7e515255db703c659677a66c4a17952515dbaf5'	}}
Copy after login

Please have a look at the documentation at the ClusterControl Puppet Forge page for more details. In our upcoming post, we are going to elaborate on how to deploy new database clusters with ClusterControl using existing modules available in Puppet Forge.

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1664
14
PHP Tutorial
1266
29
C# Tutorial
1239
24
When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Can I install mysql on Windows 7 Can I install mysql on Windows 7 Apr 08, 2025 pm 03:21 PM

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

MySQL: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

Can mysql and mariadb coexist Can mysql and mariadb coexist Apr 08, 2025 pm 02:27 PM

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

Laravel Eloquent ORM in Bangla partial model search) Laravel Eloquent ORM in Bangla partial model search) Apr 08, 2025 pm 02:06 PM

LaravelEloquent Model Retrieval: Easily obtaining database data EloquentORM provides a concise and easy-to-understand way to operate the database. This article will introduce various Eloquent model search techniques in detail to help you obtain data from the database efficiently. 1. Get all records. Use the all() method to get all records in the database table: useApp\Models\Post;$posts=Post::all(); This will return a collection. You can access data using foreach loop or other collection methods: foreach($postsas$post){echo$post->

RDS MySQL integration with Redshift zero ETL RDS MySQL integration with Redshift zero ETL Apr 08, 2025 pm 07:06 PM

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.

The relationship between mysql user and database The relationship between mysql user and database Apr 08, 2025 pm 07:15 PM

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL: The Ease of Data Management for Beginners MySQL: The Ease of Data Management for Beginners Apr 09, 2025 am 12:07 AM

MySQL is suitable for beginners because it is simple to install, powerful and easy to manage data. 1. Simple installation and configuration, suitable for a variety of operating systems. 2. Support basic operations such as creating databases and tables, inserting, querying, updating and deleting data. 3. Provide advanced functions such as JOIN operations and subqueries. 4. Performance can be improved through indexing, query optimization and table partitioning. 5. Support backup, recovery and security measures to ensure data security and consistency.

See all articles