After a grand update of dbForge Studio for MySQL, we haven’t forgotten about the rest of the dbForge for MySQL product range. Our developers took maximum care of each and every MySQL tool and revamped them with specific new features and updates. All the tools have been enhanced with the cutting-edge connectivity and compatibility options […]

Introduction

One of the things I like about Continuent Tungsten is how Tungsten Connector can hold traffic while a (graceful) master switch is taking place. This means the application may experience a brief spike in latency, but has not returned any errors from the database layer.

René also described a similar process using ProxySQL and mysqlrpladmin here. In this post we will try to achieve the same feat, a graceful master switchover with ProxySQL and Orchestrator.

ProxySQL considerations

ProxySQL needs to isolate our application from the changes going on at the database layer.
By design, if a query needs to be sent to a hostgroup that has no servers in ONLINE state, ProxySQL waits until either a server becomes available or a timeout expires (mysql-connect_timeout_server_max if I am not …

In this blog post, we demonstrate a new feature in ProxySQL Admin: support for multiple clusters.

In a previous blog post, Ramesh and Roel introduced a new tool that helps configured Percona XtraDB Cluster nodes into ProxySQL. However, at that time it only worked for a single cluster per ProxySQL Admin configuration. Starting from …

Percona Monitoring and Management (PMM) is a free and open-source platform for managing and monitoring MySQL® and MongoDB® performance. You can run PMM in your own environment for maximum security and reliability. It provides thorough time-based analysis for MySQL® and MongoDB® servers to ensure that your data works as efficiently as possible.

There are a number of significant updates in Percona Monitoring and Management 1.9.0 that we hope you will like, some of the key highlights include:

• Faster loading of the index page: We have enabled performance optimizations using gzip and HTTP2.
• AWS improvements: We have added metrics from CloudWatch RDS to 6 dashboards, as well as changed our AWS add instance workflow, and made …

Over the last years a lot of research has been done on choosing the most efficient memory allocation library for MySQL and its impact on MySQL performance (InnoDB kernel_mutex Contention and Memory Allocators, Impact of memory allocators on MySQL performance, TCMalloc and MySQL, MySQL performance: Impact of memory allocators (Part 2), Concurrent large allocations: glibc malloc, jemalloc and …

In this post, we'll look at how to implement ProxySQL with AWS Aurora. Recently, there have been a few discussions and customer requests that focused on AWS Aurora and how to make the various architectures and solutions more flexible. Flexible how, you may ask? Well, there are the usual expectations:

• How do you improve resource utilization?
• How I can filter (or block) things?
• Can I shard with Aurora?
• What is the best way to implement query caching?
• … and more.

The inclusion of ProxySQL solves many of the points above. We in Consulting design the solutions for our customers by applying the different functionalities to better match customers needs. Whenever we deal with Aurora, we've had …

In this post, we’ll look at how to implement ProxySQL with AWS Aurora.

Recently, there have been a few discussions and customer requests that focused on AWS Aurora and how to make the various architectures and solutions more flexible.

Flexible how, you may ask? Well, there are the usual expectations:

• How do you improve resource utilization?
• How can I filter (or block) things?
• Can I shard with Aurora?
• What is the best way to implement query caching?
• … and more.

The inclusion of ProxySQL solves many of the points above. We in Consulting design the solutions for our customers by applying the different functionalities to better match customers needs. Whenever we deal …

MySQL 8.0 introduces partial update of JSON values, which is a nice performance improvement for applications that frequently update small portions of large JSON documents. Before, in MySQL 5.7, whenever you made a change to a stored JSON document, the full new JSON document would be written to the database, even if the update just changed a few bytes in the document.…

In this blog post, we’ll show that you can plot MySQL data in real time using Percona Monitoring and Management (PMM).

In my previous blog post, I showed how we could load into any metrics, benchmarks into MySQL and visualize it with PMM. But that’s not all! We can even visualize most any kind of data from MySQL in real time. I am falling in love with the MySQL plugin for Grafana — it just makes things so easy and smooth.

This graph shows us the number of visitors to a website in real …

In this blog post, we’ll look at the performance of multi-source replication with GTID.

Multi-Source Replication is a topology I’ve seen discussed recently, so I decided to look into how it performs with the different replication concepts. Multi-source replication use replication channels, which allow a slave to replicate from multiple masters. This is a great way to consolidate data that has been sharded for production or simplify the analytics process by using the same server. Since multiple masters are taking writes, care is needed to not overlook the slave. The traditional replication concept uses the binary log file name, and the position inside that file.

This was the standard until the release of global transaction identifiers (GTID). I have set up a test environment to validate which concept would perform better, and be a better choice for use in this topology.

SETUP

My test suite …