Im using the version 3.2 and does not work :-(
The installation stops without any error:

Step 1 of 9 : Database Software…
Installing Database Software…
Retrieving MySQL Database 5.6 …
[root@barbara orcl]#

What im missing?

When a user signs up for online backup service for MySQL we allocate two gigabytes of free disk space in our storage. It’s convenient for small databases. We manage the storage, no additional hardware is needed from the user. What if the database is large enough so 2 gigabytes is not enough?

TwinDB allows to backup MySQL to your own storage servers. The storage will be visible in TwinDB console, the dispatcher will set it as a destination server when scheduling backup jobs and will enforce retention policy.

But the biggest benefit of having your own storage server in TwinDB is that backup copies never leave your data center. The agents are still managed by TwinDB dispatcher, but when XtraBackup streams a backup copy it’s encrypted and piped over ssh to your server. That increases security of the solution – your data flow is under your control. Besides, no large amounts of data are transferred to the cloud.

The …

This Log Buffer edition transcends beyond ordinary and loop in few of the very good blog posts from Oracle, SQL Server and MySQL.

Oracle:

• Variable selection also known as feature or attribute selection is an important technique for data mining and predictive analytics.
• The Oracle Utilities SDK V4.3.0.0.2 has been released and is available from My Oracle Support for download.
• This article provides a high level list of the new features that exist in HFM 11.1.2.4 and details the changes/differences between HFM 11.1.2.4 and previous releases.
• In recent …

Look here:

MySQL 5.6 リファレンスマニュアル (含むMySQL Cluster 7.3-7.4マニュアル)
 http://dev.mysql.com/doc/refman/5.6/ja/index.html
MySQL Enterprise Monitor 3.0.18 マニュアル
 http://dev.mysql.com/doc/mysql-monitor/3.0/ja/index.html
MySQL Enterprise Backup ユーザーズガイド (バージョン 3.11.1)
 http://dev.mysql.com/doc/mysql-enterprise-backup/3.11/ja/index.html

If you cannot read this, it's because your Japanese isn't any better than mine. :-)

Jokes aside, as of June 4, 2015, some of the MySQL documentation is available in Japanese now. The biggest book that was translated is the MySQL 5.6 Manual, thousands of pages. The other books, …

VividCortex’s network traffic analyzer tool for MongoDB is an easy-to-use, non-intrusive way to gain insight into your server’s activity. Built for MongoDB servers running on Linux operating systems, it will help you understand your query workload.

This commandline tool captures TCP traffic on your server and decodes the protocol. It decodes and times queries, and outputs them in a standard log format. You can use standard log analysis tools such as Percona Toolkit’s pt-query-digest to analyze the output and build insight into queries and server performance.

The tool is built on VividCortex’s advanced network traffic capture technology and is also a safe way to assess how VividCortex’s agents will behave on your systems. It is a thin wrapper around our TCP and MongoDB decoding libraries. It does nothing but decode and print, and makes no attempt to communicate with the Internet or anything else. Simple, secure, and smart. …

VividCortex’s network traffic analyzer tool for Redis is an easy-to-use, non-intrusive way to gain insight into your server’s activity. Built for Redis servers running on Linux operating systems, it will help you understand your query workload.

This commandline tool captures TCP traffic on your server and decodes the protocol. It decodes queries and outputs them in a standard log format. You can use standard log analysis tools such as Percona Toolkit’s pt-query-digest to analyze the output and build insight into queries and server performance.

The tool is built on VividCortex’s advanced network traffic capture technology and is also a safe way to assess how VividCortex’s agents will behave on your systems. It is a thin wrapper around our TCP and Redis decoding libraries. It does nothing but decode and print, and makes no attempt to communicate with the Internet or anything else. Simple, secure, and smart.

System …

When we decided to go beyond just MySQL monitoring, we had a couple of natural next choices. The decision involved engineering effort, the likelihood we’d find MySQL-specific things in our system that would slip our schedule, alignment with existing customers, and the commercial opportunity.

We thought that Redis monitoring would be a relatively small sales opportunity at present (although the community is very large and active), but would be simple to support because of its simple wire protocol and Redis’s straightforward nature: single threaded, no query execution plans, etc. It turns out we were wrong about the ease of implementation. Redis’s protocol is hard to capture on the wire and inspect precisely because of its simplicity. There are some interesting lessons learned.

To …

Download MariaDB 10.1.5

Release Notes Changelog What is MariaDB 10.1?

MariaDB APT and YUM Repository Configuration Generator

The MariaDB project is pleased to announce the immediate availability of MariaDB 10.1.5. This is a Beta release.

See the Release Notes and …

One of the challenges in storage engine design is random I/O during a write operation. In InnoDB, a table will have one clustered index and zero or more secondary indexes.  Each of these indexes is a B-tree.  When a record is inserted into a table, the record is first inserted into clustered index and then into each of the secondary indexes.  So, the resulting I/O operation will be randomly distributed across the disk.  The I/O pattern is similarly random for update and delete operations. To mitigate this problem, the InnoDB storage engine uses a special data structure called the change buffer (previously known as the insert buffer, which is while you will see ibuf and IBUF used in various internal names).

The change buffer is another B-tree, with the ability to hold the record of any secondary index.  It is also …

Introduction

The Galera Cluster Juju Charm was recently released, and it is now possible to start scalable Galera Clusters using the Juju deployment framework on the public or private cloud (OpenStack, Amazon, Azure and bare metal are all supported). All the logic required to fire up Galera is encapsulated in the Charm, which is a small package of scripts and configuration files that is automatically downloaded and added to your environment.

Installing and Configuring Juju

The Juju client is available for Ubuntu, OSX and Windows. Installing it is a matter of adding its dedicated package repository:

$ sudo add-apt-repository ppa:juju/stable
$ sudo apt-get update && sudo apt-get install juju-core

Then run

$ juju generate-config

in order to create the Juju configuration file, ~/.juju/environments.yaml, which you can then edit for your particular cloud …