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Which version of MySQL are you running in production?
MySQL random integers

This is not a new feature by any means but it is a question I have happen to see pop up every now and then. So a quick example is following.

To generate a random integer within MySQL you can use the Floor and Rand functions. The MySQL manual documents this here: http://dev.mysql.com/doc/refman/5.5/en/mathematical-functions.html#function_rand

"To obtain a random integer R in the range i <= R < j, use the expression FLOOR(i + RAND() * (j – i))"

So to give an example:

> SET @I = 3; # lower range
> SET @J = 43 - @I; # max range minus lower range

> SELECT FLOOR( @I + (RAND() * @J )) as lottery_numbers\G

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Getting to Know InfiniDB

If you need analytics insight into huge data sets in real-time, you probably at some point googled “Big Data”, “Columnar Database”, “SQL on Hadoop”, “MySQL Storage Engine”, “Massively Parallel Database” or “Distributed Database”. And it is highly likely that you came across InfiniDB as one of the results. In this post, I will help you with get to know InfiniDB and to see how these google keywords applies to InfiniDB.

Fabric Webinar with Andrew Morgan June 19th.

MySQL Fabric – High Availability & Automated Sharding for MySQL

MySQL Fabric is built around an extensible and open source framework for managing farms of MySQL Servers. Currently two features have been implemented – High Availability (built on top of MySQL Replication) and scaling out using data sharding. These features can be used in isolation or in combination. MySQL Fabric aware connectors allow transactions and queries to be routed to the correct servers without the need for a proxy node, so operations run as quickly as ever. In this webinar you will learn what MySQL Fabric is, what it can achieve and how it is used – by DBAs, Dev-Ops and developers. You’ll also be exposed to what is happening under the covers. In addition to the presentation, there will be live on-line Q&A with the engineering team. This is a great opportunity to learn about the latest developments directly from the people building them. …

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Sharding & HA – MySQL Fabric Webinar

On Thursday (19th June), Mats Kindahl and I will be presenting a free webinar on why and how you should be using MySQL Fabric to add Sharding (scaling out reads & writes) and High Availability to MySQL. This product has only recently gone GA and so this is a good chance to discover it’s for you and to get your questions answered by the people who wrote the software! All you need to do is register for the MySQL Fabric webinar here.

Abstract

MySQL Fabric is built around an extensible and open source framework for managing farms of MySQL Servers. Currently two features have been implemented – High Availability (built on top of MySQL Replication) and scaling out using …

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MariaDB 10.0.12 now available

Download MariaDB 10.0.12

Release Notes Changelog What is MariaDB 10.0?

MariaDB APT and YUM Repository Configuration Generator

The MariaDB project is pleased to announce the immediate availability of MariaDB 10.0.12. This is a Stable (GA) release.

See the Release Notes and …

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Replicating Oracle Webinar Question Follow-up

We had really great webinar on Replicating to/from Oracle earliest this month, and you can view the recording of that Webinar here.

A good sign of how great a Webinar was is the questions that come afterwards, and we didn’t get through them all. so here are all the questions and answers for the entire webinar.

Q: What is the overhead of Replicator on source database with asynchronous CDC?

A: With asynchronous operation there is no substantial CPU overhead (as with synchronous), but the amount of generated redo logs becomes bigger requiring more disk space and better log management to ensure that the space is used effectively.

Q: Do you support migration from Solaris/Oracle to Linux/Oracle?

A: The replication is not certified for use on Solaris, however, it is possible to …

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OurSQL Episode 189: Syncing Both Ways

This week we discuss advanced pt-table-sync, including bidirectional sync. Ear Candy is starting MySQL on low-memory virtual machines, and At the Movies is "What's New With MySQL and MariaDB?"

pt-table-sync
Episode 188, where we talked about pt-table-sync basics
pt-table-sync documentation

Options discussed:
--bidirectional
--chunk-column
--conflict-column
--conflict-comparison - greatest, least, newest, oldest, equals, matches
--conflict-value
--conflict-error

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MyQuery 3.5.5 Released

I have just released version 3.5.5 of MyQuery, which is a minor feature, cleanup and bugfix release. If you don't know MyQuery since before, this is an Open-Source Windows based MySQL and MariaDB ad-hoc query tool. What makes MyQuery slightly different from all the other similar tools is that MyQuery has a focus on SQL-scripting, allowing statements in a script to be run one at the time, to restart a script where it left of in the case of an error and some other features like this. MyQuery features colour coded syntax as it uses Scintilla for editing, and this is highly configurable. Also, multiple editing tabs are supported. Another thing that makes MyQuery stand out a bit is that it is highly flexible. If you have SQL statements that you run often to monitor the state of the server or your application, then it is real easy to implement this as a simple tool accessible from the MyQuery menu.

There …

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Faster Database Comparison with MySQL Utilities 1.4.3 GA

In the latest release of MySQL Utilities 1.4.3 GA, the performance of the mysqldbcompare utility has been considerably improved along with some bug fixes. This blog briefly explains some of the improvements that were made and shows evidence of the increased performance of database comparison.

  • A new step was added to the data consistency check. It now executes a full table checksum, which is faster when no differences are expected. The algorithm to find row differences is only executed if this preliminary table
    checksum fails.
  • A new --skip-checksum-table option was added to skip this new step should you wish to (when you know there are differences it saves a bit of time).
  • The current algorithm to find row differences was optimized to internally store and access the generated hash values.

What follows are some examples comparing the world database with …

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