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Displaying posts with tag: MyRocks (reset)
Which Version of MySQL Should I Use for MyRocks?

As database footprints continue to explode, many companies are looking for ways to deal with such rapid growth.  One approach is to refactor traditional relational databases to fit into a NoSQL engine, where horizontal scalability is easier.  However, in many cases, this is in no way a trivial undertaking.

Another approach that has been gaining interest is the use of MyRocks as an alternative storage engine to the traditional InnoDB.  While not for everyone, in certain use cases it could be a potential solution.  As with so many things open source, the next standard questions are: which version should I use?  Any differences with the engine if I use MyRocks with MySQL 5.7 vs 8.0?

In this post, I wanted to touch on this and give some high-level thoughts on MyRocks when it comes to the version of MySQL.

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Working to Validate MyRocks in the Enterprise with Dropbox

Percona Technical Account Managers get the privilege of working with some of our largest enterprise clients day in and day out.  As such, we get to really focus on how to best leverage our technology to generate measurable benefits for our users.  While it is fun to “nerd out” and always strive to use the latest and greatest, we need to stay focused on demonstrating business value and a genuine need.  Over the past few months, I’ve been working with one of my larger clients, Dropbox, along with our professional services team to validate the use of Percona Server for MySQL with the MyRocks storage engine over a large portion of their MySQL infrastructure.

Please note – this is not meant to be a deep dive into the technical details around …

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Webinar 3/23: When is MyRocks a Good Fit?

In this talk, we’ll walk through RocksDB technology and look into situations where MyRocks is a good fit versus other engines such as InnoDB. We will go over internals, benchmarks, and the tuning of MyRocks engine. We will also explore the benefits of using MyRocks within the MySQL ecosystem. Attendees will leave with solid knowledge of the latest development tools and integrations within MySQL.

Please join Alkin Tezuysal and Sergey Kuzmichev on Monday, March 23rd, at 9:00 am EDT for their webinar “When is MyRocks a Good Fit?”

View the Recording

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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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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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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Exposing MyRocks Internals Via System Variables: Part 3, Compaction

(In the previous post, Part 2, we covered Initial Data Flushing.)

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 data moves from immutable memtables to disk. In this post, we’re going to talk about what happens to that data as it moves through the compaction process.

What is Compaction?

One of the philosophies of MyRocks is “write the data quickly and sort out data organization later”, which is pretty far removed from engines like InnoDB that take the approach of “continuously organize data on disk so it’s optimal as soon as possible”. MyRocks implements its philosophy in a way that is heavily reliant on a process …

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Exposing MyRocks Internals via system variables: Part 2, Initial Data Flushing

(In the previous post, Part 1, we covered Data Writing.)

In this blog post, we continue on our series of exploring MyRocks mechanics by looking at configurable server variables and column family options. In our last post, I explained at a high level how data first entered memory space and in this post, we’re going to pick up where we left off and talk about how the flush from immutable memtable to disk occurs. We’re also going to talk about how newly created secondary indexes on existing tables get written to disk.

We already know from our previous post in the series that a flush can be prompted by one of several events, the most common of which would be when an active memtable is filled to its maximum capacity and is rotated into immutable status.

When your immutable memtable(s) is ready …

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