In the last couple of weeks, there have been a few blog posts about benchmarks comparing the performance of various versions of MySQL and variants such as MariaDB. There’s also been some analysis of the results using formal models such as Neil Gunther’s Universal Scalability Law.

What can the Universal Scalability Law (USL) teach us about the performance characteristics of these systems, as revealed by the benchmarks? To find out, I’ll examine one particular benchmark, MariaDB 10.1 and MySQL 5.7 performance on commodity hardware.

The context for this benchmark, in a nutshell, is that MySQL 5.7 was just released as GA, and the published performance results are spectacular, from the point of view of throughput on large servers. Although this is good, showing that MySQL can scale to do lots of work on large servers, the MariaDB …

In the last couple of weeks, there have been a few blog posts about benchmarks comparing the performance of various versions of MySQL and variants such as MariaDB. There’s also been some analysis of the results using formal models such as Neil Gunther’s Universal Scalability Law.

What can the Universal Scalability Law (USL) teach us about the performance characteristics of these systems, as revealed by the benchmarks? To find out, I’ll examine one particular benchmark, MariaDB 10.1 and MySQL 5.7 performance on commodity hardware.

Many of my recent engagements have been all around strategy to implement Real Time Big Data Analytics: Computing hardware cost of extending a single table collection with MariaDB and Parallel Query found in the Spider storage engine to offload columnar MPP storage like InfiniDB or Vertica.

As of today Parallel Query is only available from releases of MariaDB Spider supported by spiral arms. The more efficient way to use parallel query with Spider can be done on group by, and count queries that use a single spider table. In such case Spider Engine will execute query push down AKA map reduce.

Spider gets multiple levels of parallel execution for a single partitioned tables.

First level is per backend server:
The way to actually tell spider to scan different backends in concurrency is to set  spider_sts_bg_mode=1

Other level is per …

The new Mydumper 0.9.1 version, which includes many new features and bug fixes, is now available.  You can download the code from here.

A significant change included in this version now enables Mydumper to handle all schema objects!!  So there is no longer a dependency on using mysqldump to ensure complex schemas are backed up alongside the data.

Let’s review some of the new features:

Full schema support for Mydumper/Myloader

Mydumper now takes care of backing up the schema, including Views and Merged tables. As a result, we now have these new associated options:

-d, --no-data Do not dump table data
-G, --triggers Dump triggers
-E, --events Dump events
-R, …

Nginx is well-known for its ability to act as a reverse-proxy with small memory footprint. It usually sits in the front-end web tier to redirect connections to available backend services, provided these passed some health checks. Using a reverse-proxy is common when you are running a critical application or service that requires high availability. It also distributes the load equally among the backend services.

Recently, nginx 1.9 introduced support for TCP load balancing - similar to what HAProxy is capable of. The one major drawback is that it does not support advanced backend health checks. This is required when running MySQL Galera Cluster, as we’ll explain in the next section. Note that this limitation is removed in the paid-only edition called NGINX Plus. 

In this blog post, we are going to play around with nginx as a reverse-proxy for MySQL Galera Cluster services to achieve higher availability. We had a Galera cluster …

Nginx is well-known for its ability to act as a reverse-proxy with small memory footprint. It usually sits in the front-end web tier to redirect connections to available backend services, provided these passed some health checks. Using a reverse-proxy is common when you are running a critical application or service that requires high availability. It also distributes the load equally among the backend services.

Recently, nginx 1.9 introduced support for TCP load balancing - similar to what HAProxy is capable of. The one major drawback is that it does not support advanced backend health checks. This is required when running MySQL Galera Cluster, as we’ll explain in the next section. Note that this limitation is removed in the paid-only edition called NGINX Plus. 

In this blog post, we are going to play around with nginx as a reverse-proxy for MySQL Galera Cluster services to achieve higher availability. We had a Galera cluster …

At Oracle Openworld this year, Oracle OpenStack Release 2 was announced. This Kilo based distribution included some new deployment features not see in other OpenStack distros including the use of Kolla, Docker and MySQL Cluster. The press release states “First commercially available OpenStack implementation completely packaged as Docker instances”.

Using Docker to containerize each component of services is a very convenient means of dev/test/prod management. Your single node developer environment gets HA automatically, you can easily deploy to two or more management …

MariaDB Connector/J has evolved a lot during the year. In this post I will talk about the failover capabilities in the connector and give some guidance on how to use them in some certain cases. One other important new feature that I’ll cover in a later article is the fact that MariaDB Connector/J can do […]

The post MariaDB Connector/J failover support – case Amazon Aurora appeared first on MariaDB.org.

Recently I have been looking at the Vault project as a means to manage secrets for applications and end-users. One of the use cases that immediately drew my attention was the ability to create dynamic role-based MySQL credentials.

Why Dynamic MySQL Credentials?

There are a few reasons why dynamic credentials would be beneficial, all of which can be handled by Vault, including:

• The database environment is too large to manage individual users.
• A need to authenticate on an external service, such as LDAP or GitHub organization.
• Provide credentials to external resources, such as auditors or outside consultants that automatically expire.
• Compliance requirements for strict audit logs for database access.

A High-Level Overview of Vault

Vault is a fairly new project by HashiCorp, the folks behind projects …

Lighttpd is a secure, fast and standards-compliant web server designed for speed-critical environments. This tutorial shows how you can install Lighttpd on an Ubuntu 15.10 server with PHP support (through PHP-FPM) and MySQL. PHP-FPM (FastCGI Process Manager) is an alternative PHP FastCGI implementation with some additional features useful for sites of any size, especially busier sites.