(Gopal Shankar) MySQL 8.0 comes with the new design of INFORMATION_SCHEMA subsystem. The blog MySQL 8.0: Improvements to Information_schema provides an overview of the improvements we made.
Tag: Open Source
MySQL on Docker: Multi-Host Networking for MySQL Containers (Part 2 – Calico)
In the previous post, we looked into the basics of running MySQL containers on multiple Docker hosts managed by Swarm Mode, a native orchestration tool comes with Docker 1.12. However, at the time of writing, Docker Engine Swarm Mode does not support other networking plugins like Calico, Weave or Fl
MySQL 8.0 General Tablespaces: File per Database (and no FRM files)
(Alexander Rubin) In this blog post, we’ll look at MySQL 8.0 general tablespaces.
Replacing JSON UDF Calls With Native Function Calls in MySQL 5.7
(Ike Walker) If you use JSON UDFs in MySQL 5.6 there are a few things to consider before upgrading to MySQL 5.7.
MySQL 8.0 and the thread sanitizer
(Rik Prohaska) MySQL 8.0 now supports the thread sanitizer. This is good news as the thread sanitizer provides MySQL developers another tool to help find bugs in the multi-threaded MySQL server. What happens when we build MySQL 8.0 with the thread sanitizer enabled and try to run some basic MySQL
The First Development Milestone for MySQL 8.0
(Peter Gulutzan) MySQL 8.0.0 exists.
Order from Chaos: Member Coordination in Group Replication
(Alfranio Correia) We are very excited about the next release of MySQL Group Replication 0.9.0 in MySQL 5.7.15 and the great work that has been done to improve its stability.
New UUID functions in MySQL 8.0.0
(Ronald Bradford) MySQL 8.0.0 introduces three new miscellaneous UUID functions of IS_UUID(), UUID_TO_BIN() and BIN_TO_UUID() joining the UUID() (in 5.0) and UUID_SHORT() (in 5.1) functions. See 8.0.0 Release Notes.
Top 6 MySQL DBA Mistakes
(Rob Gravelle) To err is human, or so the saying goes. Unfortunately, in the world of IT, innocuous mistakes made early on can lead to really daunting problems down the road. While you can never eliminate human error or bad decisions, there are steps that you can take to minimize the likelihood of
Database Sharding – How does it work?
Database systems with large data sets or high throughput applications can challenge the capacity of a single database server. High query rates can exhaust CPU capacity, I/O resources, RAM or even network bandwidth.
