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Displaying posts with tag: MySQL (reset)
Simple MySQL Master HA with mysqlnd_ms

I had the pleasure of presenting to the PHP Users Group Philippines a few days ago about mysqlnd_ms. The mysqlnd plugin, MySQL Master Slave, is a transparent layer on top of mysqlnd extension. This allows you to do read-write splitting and slave reads load balancing without needing to change anything from your application. But do you know you can also achieve a form of high availability with this plugin? I shared 2 forms on my presentation, using async MySQL replication either in master-slave configuration or master-master configuration, while the second form is having an all primary cluster where you can write to all nodes.

This first part is to demonstrate how you can achieve a simple HA solution using the first form. First, all the sample code here can be found on my GitHub repository. So, to use the mysqlnd_ms plugin, it uses …

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Discover the latest MySQL Cluster Developments – Upcoming webinar

On Thursday 17th July I’ll be hosting a webinar which explains what MySQL Clusrter is, what it can deliver and what the latest developments are. As always the webinar is free but please register here.

Details:

Join this technical webinar to learn how MySQL Cluster 7.3, the latest GA release, enables developer agility by making it far simpler and faster to build your products and web-based applications with MySQL Cluster. You’ll also learn how MySQL Cluster and its linear scalability, 99.999% uptime, real-time responsiveness, and ability to perform over 1 BILLION Writes per Minute can help your products and applications meet the needs of the most demanding markets. MySQL Cluster combines these …

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MySQL Cluster 7.3.6 Released


The binary and source versions of MySQL Cluster 7.3.6 have now been made available at http://www.mysql.com/downloads/cluster/.

Release notes

MySQL Cluster NDB 7.3.6 is a new release of MySQL Cluster, based
on MySQL Server 5.6 and including features from version 7.3 of the
NDB storage engine, as well as fixing a number of recently
discovered bugs in previous MySQL Cluster releases.

Obtaining MySQL Cluster NDB 7.3. MySQL Cluster NDB 7.3 source
code and binaries can be obtained from
http://dev.mysql.com/downloads/cluster/.

For an overview of changes made in MySQL Cluster NDB 7.3, see
MySQL Cluster Development in MySQL Cluster …

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Save 20% With MySQL Training and Certification Packages

Get the best from both worlds with bundled packages: a training course and a certification exam voucher. You save 20% when you buy training and certification in discount packages.

Training helps you acquire product expertise. Certification proves this expertise to your future employers.

There are two MySQL Discount Packages: MySQL Database Administration and MySQL Developer.

For more information about the authentic MySQL curriculum, go to …

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Managing shards of MySQL databases with MySQL Fabric

This is the fourth post in our MySQL Fabric series. In case you’re joining us now, we started with an introductory post, and then discussed High Availability (HA) using MySQL Fabric here (Part 1) and here (Part 2). Today we will talk about how MySQL Fabric can help you scale out MySQL databases with sharding.

Introduction

At the time of writing, MySQL Fabric includes support for range- and hash-based sharding. As with HA, the functionality is split between client, through a MySQL Fabric-aware connector; and server, through the mysqlfabric utility and …

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Harnessing the power of master/slave clusters to operate data-driven businesses on MySQL

Users seeking high availability, DR and zero downtime maintenance operation for business-critical MySQL applications face confusing choices. Is multi-master or master/slave clustering better?  What about synchronous versus asynchronous replication? Using a plain vanilla, stock MySQL or a modified version of it? Which of these choices are right for data-driven businesses that depend on fast,

Percona Toolkit 2.2.9 is now available

Percona is glad to announce the release of Percona Toolkit 2.2.9 on July 10, 2014 (downloads are available here and from the Percona Software Repositories). This release is the current GA (Generally Available) stable release in the 2.2 series.

Bugs Fixed:

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How to Configure ClusterControl to run on nginx

July 10, 2014 By Severalnines

ClusterControl uses the Apache HTTP Server to serve its web interface, but it is also possible to use nginx. nginx + PHP fastcgi is well-known for its capabilities to run on a small memory footprint compared to standard Apache + PHP DSO.

 

In this post, we will show you how to run ClusterControl on nginx web server by swapping out the default Apache web server installed during the initial deployment. This blog post does not mean that we officially support nginx, it just an alternative way that a portion of our users have been interested in. For instance, Phil Bayfield wrote a blog on the same topic a while back.

 

Apache Configuration

 

Before we jump into nginx configurations, let’s look at how the …

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Recover after DROP TABLE. Case 1 3

Introduction

Human mistakes are inevitable. Wrong “DROP DATABASE” or “DROP TABLE” may destroy critical data on the MySQL server. Backups would help however they’re not always available. This situation is frightening but not hopeless. In many cases it is possible to recover almost all the data that was in the database or table.
Let’s look how we can do it. The recovery plan depends on whether InnoDB kept all data in a single ibdata1 or each table had its own tablespace . In this post we will consider the case innodb_file_per_table=OFF. This option assumes that all tables are stored in a common file, usually located at /var/lib/mysql/ibdata1.

Wrong action – table deletion

For our scenario we will use test database sakila that is shipped together with the tool.
Suppose we drop my mistake table actor:

mysql> SELECT * FROM actor LIMIT 10; …
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TokuDB gotchas: slow INFORMATION_SCHEMA TABLES

We are using Percona Server + TokuDB engine extensively in Percona Cloud Tools and getting real usage operational experience with this engine. So I want to share some findings we came across, in hope it may help someone in their work with TokuDB.

So, one problem I faced is that SELECT * FROM INFORMATION_SCHEMA.TABLES is quite slow when I have thousands tables in TokuDB. How slow? For example…

select * from information_schema.tables limit 1000;
...
1000 rows in set (18 min 31.93 sec)

This is very similar to what InnoDB faced a couple years back. InnoDB solved it by adding variable …

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