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Displaying posts with tag: MySQL Cluster CGE (reset)
Upcoming webinar: MySQL Cluster deployment best practices

On Wednesday 25 August, Johan Anderson and Mat keep will be presenting a free webinar on the best practices for deploying MySQL Cluster. If you’d like to attend then just register here.

Johan has years of MySQL Cluster professional services experience – and so if you’re interested in deploying a product ready MySQL Cluster database then this is a must-view session. Even if you can’t make it live, register anyway and you’ll be sent a link to the recording and charts afterwards.

Content

An invaluable session for those who are about to, or who already have, deployed MySQL Cluster. Delivered by the lead MySQL Cluster professional services consultant in Oracle, this session will present best practices on deploying MySQL Cluster in order to accelerate time to service with the highest levels of availability …

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How can a database be in-memory and durable at the same time?

There is often confusion as to how it can be claimed that MySQL Cluster delivers in-memory performance while also providing durability (the “D” in ACID). This post explains how that can be achieved as well as how to mix and match scalability, High Availability and Durability.

MySQL Cluster deployment options

As an aside, the user can specify specific MySQL Cluster tables or columns to be stored on disk rather than in memory – this is a solution for extra capacity but you don’t need to take this performance hit just to have the data persisted to disk. This post focuses on the in-memory approach.

There is a great deal of flexibility in how you deploy MySQL Cluster with in-memory data – allowing the user to decide which features they want to make use of.

The simplest (and least common) topology …

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Free webinar – Scaling web apps with MySQL (an alternative to the MEMORY storage engine)

Mat Keep and I will be presenting this free webinar on Wednesday 14 July.

The MEMORY storage engine has been widely adopted by MySQL users to provide near-instant responsiveness with use cases such as caching and web session management. As these services evolve to support more users, so the scalability and availability demands can start to exceed the capabilities of the MEMORY storage engine.

The MySQL Cluster database, which itself can be implemented as a MySQL storage engine, is a viable alternative to address these evolving web service demands. MySQL Cluster can be configured and run in the same way as the MEMORY storage engine (ie on a single host with no replication and no persistence). As web services evolve, any of these attributes can then be added in any combination to deliver higher levels of scalability, …

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MySQL Workbench 5.2 goes GA – partial support for MySQL Cluster

Configure MySQL Server nodes for MySQL Cluster

The new version of MySQL Workbench (5.2.25) has just gone GA – see the Workbench BLOG for details.

So what’s the relevance to MySQL Cluster? If you have a Cluster that uses MySQL Servers to provide SQL access then you can now use MySQL Workbench to manage those nodes:

  • Start & stop the mysqld processes
  • Configure the per-mysqld configuration data held in my.cnf or my.ini

The reason that I describe the support as ‘partial’ is that these MySQL Servers are treated as independent entities (no concept of them being part of a Cluster) and there is currently no way to use it to configure or manage the other Cluster processes (data and management nodes). Having said that, what …

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Using Syslog with MySQL Cluster

By default, MySQL Cluster sends log data to a file but you can also send it to the console or to Syslog; this article explains how to send it to Syslog. The example given here is for LINUX.

In this example, I’ll use the “user” syslog facility name and so the first step is to make sure that syslog is configured to route those messages. If this hasn’t already been configured then add the following lines to /etc/rsyslog.conf:

# Log user messages to local files
user.*    /var/log/user

For the changes to take effect, restart the syslog service:

[root@ws1 etc]# service rsyslog restart
Shutting down system logger:                               [  OK  ]
Starting system logger:                                    [  OK  ]

Note that you should make those changes as root.

Still as root, start up a stream of  any additions to the new log file:

[root@ws1 etc]# tail -f /var/log/user

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MySQL Cluster presentation at Oracle Open World 2010

As part of “MySQL Sunday” at this year’s Oracle Open World, Mat Keep and I will be presenting on the latest MySQL Cluster features. We’ll be presenting at 15:30 (Pacific Time) on 19th September (the event starts with a key note at 12:30).

If you’re attending Oracle Open World then please indicate that you’d like to attend the MySQL Sunday when you register. If you aren’t planning to go to Oracle Open World but will be in the San Francisco area then buying a Discover pass (only $50 if you register by 16 July) will get you into the MySQL Sunday sessions. Register here.

For details on the presentations and speakers, check here.

Breakfast seminar on what’s new with MySQL – London

If you’re in London on Thursday 24th June then there’s a great chance to find out what’s new in MySQL.

Join us for an Oracle MySQL Breakfast Seminar to better understand Oracle’s MySQL strategy and what’s new with MySQL!
Agenda:
09:00 a.m.    Welcome Coffee/Tea
09:30 a.m.    Oracle’s MySQL Strategy
10:00 a.m.    What’s New – The MySQL Server & MySQL Cluster
10.45 a.m.    Coffee/Tea Break
11:00 a.m.    What’s New – MySQL Enterprise & MySQL Workbench
11:45 a.m.    Q&A
12:00 noon    End of the Breakfast Seminar

Cost?
None, it’s a free event! But places are limited and the seminar is held on a first come first served basis, so …

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Scaling Web Services with MySQL Cluster: An Alternative Approach to MySQL & memcached

A new white paper is available from http://www.mysql.com/why-mysql/white-papers/mysql_wp_cluster_ScalingWebServices.php

MySQL and memcached has become, and will remain, the foundation for many dynamic web services with proven deployments in some of the largest and most prolific names on the web.

There are classes of web services however that are highly transactional and update-intensive, demanding real-time responsiveness and continuous availability. In these cases, MySQL Cluster provides the familiarity and ease-of-use of the regular MySQL Server, while delivering significantly higher levels of write performance with less complexity, lower latency and 99.999% availability.

This whitepaper will discuss the use-cases for both approaches, and provides an insight into how MySQL Cluster is enabling users to scale …

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MySQL Cluster Powers Leading Document Management Web Service

A new customer case-study is available for download from http://www.mysql.com/why-mysql/case-studies/mysql_cs-cluster_docudesk_WebServices.php

The DocQ web service eliminates the limitations of sharing physical documents by offering a complete paperless business solution; providing a single place where customers can manage, archive, and send their important documents. DocQ supports secure business transactions and the services to store, edit, collaborate, and publish business documents.

  • The database needed to deliver the high levels of write throughput, low latency responsiveness and continuous availability …
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Configure MySQL Enterprise Monitor to monitor MySQL Cluster

MySQL Cluster 7.1 introduced the ndbinfo database which contains views giving real-time access to a whole host of information that helps you monitor and tune your MySQL Cluster deployment. Because this data can be accessed through regular SQL, various systems can be configured to monitor the Cluster. This post gives one example, extending MySQL Enterprise Monitor to keep an eye on the amount of free memory on the data nodes (through a graph) and then raise an alarm when it starts to run low – even generating SNMP traps if that’s what you need.

One of the features of MySQL Enterprise Monitor is that you can define custom data collectors and that those data collectors can run SQL queries to get the data. The information retrieved by those custom data collectors can then be used with rules that the user defines through the MySQL Enterprise …

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