We are excited to announce that we now support monitoring Amazon RDS for MySQL. Previously we relied exclusively on deep packet inspection, but since customers can’t install agents on RDS servers, we implemented support for the MySQL PERFORMANCE_SCHEMA tables in MySQL 5.6 and newer. Support for RDS performance monitoring is available immediately.

With VividCortex for Amazon RDS for MySQL, you can get high-resolution, 1-second granularity MySQL performance metrics on all available system and query performance in the same acclaimed user interface that VividCortex’s customers say makes them more productive and effective every day.

Teams who use Amazon RDS usually do so because they want to outsource operational aspects of their MySQL database. These companies tend to …

We are excited to announce that we now support monitoring Amazon RDS for MySQL. Previously we relied exclusively on deep packet inspection, but since customers can’t install agents on RDS servers, we implemented support for the MySQL PERFORMANCE_SCHEMA tables in MySQL 5.6 and newer. Support for RDS performance monitoring is available immediately.

With VividCortex for Amazon RDS for MySQL, you can get high-resolution, 1-second granularity MySQL performance metrics on all available system and query performance in the same acclaimed user interface that VividCortex’s customers say makes them more productive and effective every day.

Teams who use Amazon RDS usually do so because they want to outsource operational aspects of their MySQL database. These companies tend to …

Not a ground-breaking post here, but if you are interested in knowing more about the innodb_log_block_size variable, or if you use SSD cards and/or large InnoDB log files on ext4, then this is for you.

I’d read about it before briefly before, but didn’t give it too much thought until I ran across the following entry in an error log the other day:

InnoDB: Warning: innodb_log_block_size has been changed
from default value 512. (###EXPERIMENTAL### operation)

This got me wanting to know more.

Basically, this variable changes the size of transaction log records. Generally, the default of 512 is a good value. However, it has been found that setting it to 4096 has been beneficial when using SSD cards. (Note that while it is possible to set this to a value other than 512 or 4096, those are currently the only 2 values that make sense to use.)

Also, it has been found that 4096 is the best setting if you run …

So some users complete a yum install of MySQL and expect to be able to use the following  command to start the MySQL server::  /etc/init.d/mysql start only to get "No such file or directory"
So this is a quick post to help use the systemctl command.  You are likely to see this: # systemctl list-unit-files | grep mysql
mysqld.service                              disabled
First I would recommend go to tools.percona.com and create a valid my.cnf file. 
So the solution is easy, we just need to enable this so the database can start on server start up.
#systemctl enable mysqld.service
ln -s '/usr/lib/systemd/system/mysqld.service' '/etc/systemd/system/mysql.service'
ln -s …

Method 1

a) dump the database using mysqldump & ftp the file across

b)Here's the simple command to restore the database using the file you dumped in the first step:

mysql -u USER -p DBNAME < dump.sql

Method 2

The way that is described above is indeed a very sloppy way!

If you have access to the other box from that machine (if they're on

the same network/ on the 'net) you can use the following - this

essentially pipes the output from mysqldump directly into the other

database - very handy indeed - instead of just dumping it into a file

and then manually ftp it to the other box the mysql < .... it in.

The first host is where you want to copy FROM and the second is where

its going TO.

mysqldump --opt --compress …

This is a maintenance release, which basically reintroduces support for legacy password encryption (pre-4.1 hash format).

Get it from the download page.

<?xml version="1.0" encoding="iso-8859-1"?>Tutorial Introduction to working with Groups in MySQL Fabric Tutorial Introduction to working with Groups in MySQL Fabric Table of Contents

• 1 Working with Groups in MySQL Fabric
  • 1.1 Prerequisites
    • 1.1.1 Downloading mysqlutilities
    • 1.1.2 Unzip the utilities
    • 1.1.3 Build and install the utilities
    • …

So, I’ve written previously on MySQL on POWER, and today is a quick bit of news about MySQL Cluster on POWER – specifically MySQL Cluster 7.3.7.

I ran into three main issues in getting some flexAsync benchmark results. One of them was the fact that I wanted to do this in the middle of all the POWER8 machines I usually use moving buildings (hard to run benchmarks when computers are packed up in boxes on a truck).

The next issue was that ndbmtd (the multi-threaded data node) needs memory barriers for the magic message passing stuff between threads. So, that’s pretty easy (about an eight line patch).

The next issue was in the results from flexAsync, it turns out 32bit math is a bad idea with results from my POWER8 box.

My preliminary performance numbers are fairly promising (actually… what is the world record for a single machine and NDB these days? Single data node?). I think there’s a bit more low …

The MySQL Server 5.7.5 Development Milestone Release includes support for acquiring multiple user-level locks within the same connection. The implementation of this feature is based on a contributed patch by Konstantin Osipov. This post tells the story about what happened with this patch on its way into the MySQL Server codebase.

If you are more interested in using this new functionality and the feature itself, rather than in the history behind it, then it is better to simply read the corresponding entry in the Release Notes or the updated documentation for the GET_LOCK() function.

Requests to extend the semantics of …

A SaaS product needs to use security measures you might not ordinarily use in an on-premises solution. In particular, it’s important that all sensitive data be secured. Encryption plays an important role in information security. At VividCortex, we encrypt data in-flight and at-rest, so your sensitive data is never exposed.

We use Go and MySQL extensively at VividCortex and thought other Go programmers might be interested to see how we’ve integrated encryption into our services layer (APIs).

Encryption Techniques

At a high level, you can think of two kinds of data encryption inside of MySQL or any similar data store. I’ll oversimplify for purposes of illustration. You can:

1. Store the data in MySQL as normal, but encrypt the container that holds MySQL. Usually this means storing MySQL’s data on an encrypted disk volume. The protection? Broadly speaking, if someone gains access to a backup disk, they …