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My two parallel replication talks at Percona Live Santa Clara 2017

Yes, another post about my talks at Percona Live Santa Clara: I obviously still have things to share.  This time, I will focus on my parallel replication talks by giving a short preview.

I have two parallel replication talks at Percona Live:

MySQL/MariaDB Parallel Replication: inventory, use cases and limitations (Wednesday talk) MySQL Parallel Replication: all the 5.7 (and some of the 8.0)

Tracking IST Progress in Percona XtraDB Cluster

In this blog post, we’ll look at how Percona XtraDB Cluster uses IST.

Introduction

Percona XtraDB Cluster uses the concept of an Incremental State Transfer (IST). When a node of the cluster leaves the cluster for a short period of time, it can rejoin the cluster by getting the delta set of missing changes from any active node in the cluster.

This process of getting the delta set of changes is named as IST in Percona XtraDB Cluster.

Tracking IST Progress

The number of write-sets/changes that the joining node needs to catch up on when rejoining the cluster is dictated by:

  1. The duration the node was not present in the cluster
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More Trackable Flow Control for Percona XtraDB Cluster

In this blog post, we’ll discuss trackable flow control in Percona XtraDB Cluster.

Introduction

Percona XtraDB Cluster has a self-regulating mechanism called Flow Control. This mechanism helps to avoid a situation wherein the weakest/slowest member of the cluster falls significantly behind other members of the cluster.

When a member of a cluster is slow at applying write-sets (while simultaneously continuing to receive write-sets from the cluster group channel), then the incoming/receive queue grows in size. If this queue crosses a set threshold (gcs.fc_limit), the node emits a FLOW_CONTROL message asking other members to slow down or halt processing.

While …

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Percona Live Featured Session with Casper Kejlberg-Rasmussen: Placing Databases @ Uber

Welcome to another post in the series of Percona Live featured session blogs! In these blogs, we’ll highlight some of the session speakers that will be at this year’s Percona Live conference. We’ll also discuss how these sessions can help you improve your database environment. Make sure to read to the end to get a special Percona Live 2017 registration bonus!

In this Percona Live featured session, we’ll meet Casper Kejlberg-Rasmussen, Software Developer at Uber. His session is Placing Databases @ Uber. Uber has many thousands of MySQL databases running inside of Docker containers on thousands …

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How to create mysql login-path

This is just a note to myself. I don’t do this often enough to remember the command, but whenever I’m searching for this, it takes half a minute to find it in MySQL manual, so hopefully this gets indexed better (in my memory as well as in Google).

Here’s the simple command to create a login path:

mysql_config_editor set --login-path=mysql1  --host=localhost \
   --port=3306 --socket=/path/to/socket --user=root --password

Obviously you can remove just about anything and only leave the essentials.

Once that’s done, accessing different MySQL instances is as simple as mysql --login-path=mysql1, which is especially useful if you’re accessing different servers from one machine, or if you’re running several MySQL instances on the same machine.

More information on login paths …

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MySQL on Docker: ClusterControl and Galera Cluster on Docker Swarm

Our journey in adopting MySQL and MariaDB in containerized environments continues, with ClusterControl coming into the picture to facilitate deployment and management. We already have our ClusterControl image hosted in Docker Hub, where it can deploy different replication/cluster topologies on multiple containers. With the introduction of Docker Swarm, a native orchestration tools embedded inside Docker Engine, scaling and provisioning containers has become much easier. It also has high availability covered by running services on multiple Docker hosts.

In this blog post, we’ll be experimenting with automatic provisioning of Galera Cluster on Docker Swarm with ClusterControl. ClusterControl would usually deploy database clusters on bare-metal, virtual machines and cloud instances. ClusterControl relies on SSH (through libssh) as core communication module …

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How We Made Percona XtraDB Cluster Scale

In this blog post, we’ll look at the actions and efforts Percona experts took to scale Percona XtraDB Cluster.

Introduction

When we first started analyzing Percona XtraDB Cluster performance, it was pretty bad. We would see contention even with 16 threads. Performance was even worse with sync binlog=1, although the same pattern was observed even with the binary log disabled. The effect was not only limited to OLTP workloads, as even other workloads (like update-key/non-key) were also affected in a wider sense than OLTP.

That’s when we started analyzing the contention issues and found multiple problems. We will discuss all these problems and the solutions we adapted. But …

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Percona XtraDB Cluster 5.6.35-26.20-3 is now available

Percona announces the release of Percona XtraDB Cluster 5.6.35-26.20-3 on April 13, 2017. Binaries are available from the downloads section or our software repositories.

Percona XtraDB Cluster 5.6.35-26.20-3 is now the current release, based on the following:

All Percona software is open-source and free.

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MySQL 8.0: Improved performance with CTE

Last week I published a blog post in the MySQL Server Blog where I showed how the execution time of a query was reduced by 50% by using a Common Table Expression (CTE) instead of a view.

In the coming weeks, there will be several opportunities to attend a presentation on CTE and another SQL feature that will arrive in MySQL 8.0, Window Functions.  This presentation is part of the Oracle MySQL Innovation Day that will be held both in the Bay Area (April 28) and in the Boston Area (May 2).

I will also give the presentation at the …

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Performance improvements in Percona XtraDB Cluster 5.7.17-29.20

In our latest release of Percona XtraDB Cluster, we’ve introduced major performance improvements to the MySQLwrite-set replication layer. In this post, we want to show what these improvements look like.

For the test, we used the sysbench OLTP_RW, UPDATE_KEY and UPDATE_NOKEY workloads with 100 tables, 4mln rows each, which gives about 100GB of datasize. In all the tests we use a three-node setup, connected via a 10GB network, with the sysbench load directed to the one primary node.

In the first chart, we show improvements comparing to the previous version (5.7.16):

The main improvements come from concurrent workloads, under multiple threads.

The …

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