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Our recap of the Percona Live Conference in Austin

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 …

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Exposing MyRocks Internals Via System Variables: Part 7, Use Case Considerations

(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 …

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Introducing Tungsten Replicator (AMI): The High Performance Replication Engine For MySQL, MariaDB & Percona Server

Discover Tungsten Replicator (AMI) – the replication engine for MySQL, MariaDB & Percona Server, including Amazon RDS MySQL and Amazon Aurora We’re excited to announce the availability on the Amazon Marketplace of the new Tungsten Replicator (AMI). Tungsten Replicator (AMI) is a replication engine that provides high-performance and improved replication functionality over the native MySQL replication solution and provides an ability to apply real-time MySQL data feed into a range of analytics and big data databases. Tungsten Replicator (AMI) builds on the well-established, commercial stand-alone product Tungsten Replicator and offers the exact same functionality, but with the convenience that comes with an ad-hoc online service: cost-effective and rapid, automated deployment. Target Databases Available as of Today

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Announcing Our New Partnership for MySQL & MariaDB Availability Solutions With Datavail

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 …

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Exposing MyRocks internals Via system variables: Part 6, Replication

(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 …

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MySQL Support Engineer's Chronicles, Issue #10

As promised, I am trying to write one blog post in this series per week. So, even though writing about InnoDB row formats took a lot of time and efforts this weekend, I still plan to summarize my findings, questions, discussions, bugs and links I've collected over this week.

I've shared two links this week on Facebook that got a lot of comments (unlike links to my typical blog posts). The first one was to Marko Mäkelä's blog post at MariaDB.com, "

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Exposing MyRocks internals via system variables: Part 5, Data Reads

(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 …

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Exposing MyRocks Internals via system variables: Part 4, Compression and Bloom Filters

(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 …

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Hot Backup For MyRocks(Rocksdb) using Percona Xtrabackup

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

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 prior to 9 and Ubuntu prior to 14.04 versions --> ssl100 CentOS 6 and CentOS 7 --> ssl101 …

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