We were pleased to sponsor the Percona Live Conference in Austin this year: many thanks to the Percona Team for organising a smooth conference yet again!

This is the recap of our week in Texas!

At The Conference

This year’s conference was the first one not taking place in Santa Clara, CA, but rather in Austin, TX. This turned out to be a nice choice by Percona, as it meant that open source database users who may not have travelled to California in the past, were attracted to the new location; and Austin being the new hot spot for (tech) companies at the moment, a lot of “locals” seemed to have made the choice to attend the conference. It was great to meet many new faces as a result.

As Diamond Sponsors of the conference we were of course present with a booth in the exhibition hall, as well as with three talks.

And while the hotel looked slightly dystopian at night, it was in fact a nice and …

(In the previous post, Part 6, we covered Replication.)

In this final blog post, we conclude our series of exploring MyRocks by taking a look at use case considerations. After all, having knowledge of how an engine works is really only applicable if you feel like you’re in a good position to use it.

Advantages of MyRocks

Let’s start by talking about some of the advantages of MyRocks.

Compression

MyRocks will typically do a good job of reducing the physical footprint of your data. As I mentioned in my previous post in this series about compression, you have the ability to configure compression down to the individual compaction layers for each column family. You also get the advantage of the fact that data isn’t updated once it’s written to disk. Compaction, which was …

Today we’re happy to announce that we’ll be partnering with Datavail to provide solutions for continuous & highly available MySQL, Percona Server & MariaDB database operations based on Tungsten Clustering & Datavail Database Services.

Datavail is a renowned, tech-enabled data management, applications, business intelligence, and software solutions provider with a team of 700+ DBAs that look after customers’ database environments.

What are we aiming for?

Together we’re looking to continue to drive momentum in supporting rapid MySQL & MariaDB based application deployments as well as highly available and scalable database implementations for existing and future customers.

This new collaboration is …

(In the previous post, Part 5, we covered Data Reads.)

In this blog post, we continue our series of exploring MyRocks mechanics by looking at the configurable server variables and column family options. In our last post, I explained at a high level how reads occur in MyRocks, concluding the arc of covering how data moves into and out of MyRocks. In this post, we’re going to explore replication with MyRocks, more specifically read-free replication.

Some of you may already be familiar with the concepts of read-free replication as it was a key feature of the TokuDB engine, which leveraged fractal tree indexing. TokuDB was similar to MyRocks in the sense that it had a pseudo log-based storage …

(In the previous post, Part 4, we covered Compression and Bloom Filters)

In this blog post, we continue on our series of exploring MyRocks mechanics by looking at the configurable server variables and column family options. In our last post, I explained at a high level how compression and bloom filtering are applied to data files as they are initially flushed from immutable memtables and are subsequently passed through the compaction process. With that being covered, we should now have a clear understanding as to how data writing works in MyRocks and can start reviewing how data read requests are handled.

The Read Process

Let’s start off by talking about how read processes are handled at the file level. When a read request comes in, the first thing it needs to do is pull the …

(In the previous post, Part 3, we covered Compaction.)

In this blog post, we continue on our series of exploring MyRocks mechanics by looking at the configurable server variables and column family options. In our last post, I explained at a high level how data moves from its initial disk-written files into the full data set structure of MyRocks using a process called compaction. In this post, we’re going to look a little closer at two important features that are leveraged as data cascades down through this compaction process: bloom filters and compression.

Bloom filters

Before we approach how bloom filters are used in MyRocks, we need to know what a bloom filter is. The short definition is that a bloom filter is a space-efficient data structure used to tell you if an …

Xtrabackup now supports Hotbackup for Myrocks!! yes you heard me right, this is one of the most awaited features with xtrabackup. With the latest release of percona xtrabackup 8.0.6 this is enabled and is supported only for Percona Server version 8.0.15-6 or higher, you can see detailed released notes here.

Myrocks is getting much of the attention now because of its much improved write capabilities and compression. We have also planned to have detailed blog on Myrocks features and limitations.

We shall proceed to test the backup and restore of Myrocks

Environment:

OS : Debian GNU/Linux 9 …

Thumb rule to choose Percona-Server ssl Linux-Generic package

Here below are my thumb rules to choose which ssl linux-generic package, you should download for your system.

Like here we can see if we need to download Percona-Server Linux-Generic package then We can see here we have couple of packages available with different ssl(100/101/102) versions.

https://www.percona.com/downloads/Percona-Server-5.7/LATEST/binary/tarball/

Here you should choose below package based on your operating system.

Debian …

PORP LAB : ProxySQL/Orchestrator/Replication/PMM Summary PORP Lab will create 4 different nodes. Each node will have below packages/applications/db installed.

app
-- Percona Server 5.7
-- Percona Toolkit 
-- Percona XtraBackup 
-- Sysbench 
-- ProxySQL
-- Orchestrator 
-- PMM

mysql1 / mysql2 / mysql3
-- Percona Server 5.7
-- Percona Toolkit
-- pmm-client
-- Replication

PORP LAB have ProxySQL,Orchestrator and PMM properly configured, we can just create this lab and use it.

Install VirtualBox

Version 5.2.22 or Later

Install Vagrant

Version 2.2.2 or Later

Install Vagrant plugin hostmanager

vagrant plugin install vagrant-hostmanager

Update Vagrant Plugin

vagrant plugin update

Clone the repo

git clone …

Overview The Skinny

From time to time we are asked how to check whether or not there are data discrepancies between Master/Slave nodes within a MySQL (or MariaDB) cluster that’s managed with Tungsten Clustering. This is always a challenging task, not least because we hope and believe that our replication mechanism would avoid such occurrences, that said there can be factors outside of our control that can appear to “corrupt” data – such as inadvertent execution of DML against a slave using a root level user account.

Tungsten Replicator, the core replication component in our Tungsten Clustering solution for MySQL (& MariaDB), is just that, a replicator – it takes transactions from the binary logs and replicates them around. The replicator isn’t a data synchronisation tool in that respect, the …