Last week, we introduced VividCortex support for Redis. One of the reasons we expanded our product capabilities is because of our own use of Redis. According to Baron, “We rely on Redis to help analyze the massive amounts of time-series data we receive from agents running on customer systems.” Let’s go a little deeper…

VividCortex keeps tables with all the known metrics and queries for many hosts measured at 1-second granularity. We use Redis to avoid repeating the “insert on duplicate update” into the metric/query tables. We are able to do this by keeping hourly buckets of seen queries and metrics. When a batch of metrics/queries arrive, before insert/updating them in the mysql tables, we check that we haven’t …

Don't miss these MySQL clustering and replication keynotes and sessions next week:

Keynote: What has the cloud done lately for my data? (Robert Hodges, VMware)  Moving Workloads Effectively to Hybrid Cloud Deployments (MC Brown, VMware)  Tutorial: Advanced MySQL replication features roundup (Giuseppe Maxia, VMware) Pivot tables: Analytics in pure SQL (Giuseppe Maxia, VMware) The perils of

Last time we set up a High Availability server farm with MySQL Fabric. Now it is time to set up sharding. I will be using the good old World database and sharding the City table on the ID field. There are 4,079 cities in this table and they will be split in two. So one shard, that we will call CityLow will have the records 2,000 and below and the other records at 2,001 and above will be called CityHigh. We also need a global group for setting up sharding that will be called CityGlobal.

Sadly, the first step is to remove the previous setup with mysqlfabric manage teardown. This will remove the fabric database from the Fabric controller. Fabric itself has to be stopped with mysqlfabric manage stop. The command mysqlfabric manage setup will set up a fresh, clean fabric database. And …

(この記事は InnoDB Full-Text: MeCab Parser を Yoshiaki Yamasaki が翻訳したものです)

このブログ記事で紹介した一般的なCJK(中国語、日本語、韓国語)のサポートに加えて、私達はMeCabパーサーも追加しました。MeCabは日本語の形態素解析エンジンで、私達は今 …

Tue, 2015-04-07 11:41guillaumelefranc

In the first blog of these series, we've done a rapid walkthrough on how to use Ansible and Vagrant to start a master/slave pair. In this second post, we will delve into the inner workings of Ansible, explaining how to set up server inventories, automate MariaDB deployments, use configuration templates and much more.

Setting up an Ansible inventory

Once Ansible is setup with your usual package manager, the first task should be to create passwordless SSH keys and to setup the servers you want to manage for passwordless access. Setting up SSH keys is extensively described on the internet so I won't get into any details in this post.

The second task is to create a server inventory. This is as …

Due to its synchronous nature, Galera performance can be limited by the slowest node in the cluster. So running heavy reporting queries or making frequent backups on one node, or putting a node across a slow WAN link to a remote data center might indirectly affect cluster performance. Combining Galera and asynchronous MySQL replication in the same setup, aka Hybrid Replication, can help. A slave is loosely coupled to the cluster, and will be able to handle a heavy load without affecting the performance of the cluster. The slave can also be a live copy of the Galera cluster for disaster recovery purposes.

We had explained the different steps to set this up in a previous post. With ClusterControl 1.2.9 …

Open Query is supporting the mysql-cli Kickstarter project (for MySQL and MariaDB) by Amjith Ramanujam who already successfully completed a similar tool for PostgreSQL.

It is a new MySQL client with Auto-Completion and Syntax Highlighting. From the info provided, it’s Python based, thus portable, and can be installed without root access. Could be a very useful tool. The good old mysql command line client does lack some things, yet a relatively low-level command line client is often useful for remote tasks (as opposed to graphical tools) so we reckon it’s good that this realm gets a bit of attention!

Two years ago Ovais Tariq had explained in detail what kinds of problems existed before MySQL introduced metadata locks in 5.5.3 and how these locks help to prevent them. Still, some implications of metadata locking in MySQL remain unclear for users – DBAs and even software developers that target recent MySQL versions. I’ve decided to include a slide or two into the presentation about InnoDB locks and deadlocks I plan to make (with my colleague Nilnandan Joshi) on April 16 at Percona Live 2015.

I decided to do this as …

MySQL Enterprise Firewall is a commercial extension, and is included with MySQL Enterprise Edition. This new SQL based firewall was just released in the MySQL 5.6.24 Enterprise Server! Let me tell you a bit more about how it reduces security vulnerabilities, how it works, and how to use it.

All too often, as statistics and daily headlines show, badly written applications continue to expose an organizations sensitive data to malicious attackers. These …

Every day hundreds of millions of dollars are wasted by allowing improperly tuned or misconfigured systems, misunderstood infrastructure, and inefficient IT operations to live and thrive in data centers around the globe. There are both direct and indirect costs associated with allowing these unhealthy systems to continue to exist. Let’s look at some.

The setup:

Let us start by using a small example. We will start by looking at a small database setup. This setup will have a single master-slave, with a database size of lets say 500GB. Traffic is steady and let’s say this translates into 500 IOPS on the master. You have chosen to host this on Amazon’s AWS. A common way of ensuring backups occur in AWS is to setup ebs snapshots of the slave. In terms of usage, let us assume your CPU is about 50% used and you have about 20GB of hot data that needs to stay in the memory for the database.

If we look at what this …