Hope you have been following our recent webinars on MySQL, Galera Cluster, AWS monitoring and more.

We are coming up with a webinar series in association with Eric Vanier, a leading MySQL expert consultant. The series will provide a step-by-step process to optimize MySQL database performance.

This webinar series is for everyone who is looking for ways to monitor their MySQL databases, simplify the process to manually analyze queries and achieve faster issue resolution time.

Eric Vanier will focus on key problem areas that are faced by DBAs and Shree will provide a solution-driven demonstration to overcome issues while monitoring the database performance. To make it simple, the series will comprise of three parts:

Part – 1: MySQL Performance Tuning
26 June; 10:00 am Eastern time

Troubleshooting a MySQL …

Hope you have been following our recent webinars on MySQL, Galera Cluster, AWS monitoring and more.

We are coming up with a webinar series in association with Eric Vanier, a leading MySQL expert consultant. The series will provide a step-by-step process to optimize MySQL database performance.

This webinar series is for everyone who is looking for ways to monitor their MySQL databases, simplify the process to manually analyze queries and achieve faster issue resolution time.

Eric Vanier will focus on key problem areas that are faced by DBAs and Shree will provide a solution-driven demonstration to overcome issues while monitoring the database performance. To make it simple, the series will comprise of three parts:

Part – 1: MySQL Performance Tuning
26 June; 10:00 am Eastern time

Troubleshooting a MySQL …

Thank you everyone who attended our Webinar on “Monyog v7.04 demonstration & Roadmap Update”.

During the webinar, Shree gave a complete walkthrough of the all new Monyog v7.04. He also shared the product roadmap along with the performance improvements for bigger deployments.

Here’s the complete video for all those who couldn’t attend the webinar.

We hope you found the webinar useful. We will be conducting more webinars in upcoming weeks. To keep yourself updated, subscribe to our blogs.

Download a free trial of Monyog here.

The post Highlights: Monyog v7.04 demonstration & Roadmap Update appeared first on Webyog Blog.

In this blog, I provide answers to the Q & A for the Troubleshooting hardware resource usage webinar.

First, I want to thank everybody who attended the May 26 webinar. The recording and slides for the webinar are available here. Below is the list of your questions that I wasn’t able to answer during the webinar, with responses:

Q: How did you find the memory IO LEAK?

A: Do you mean the replication bug I was talking about in the webinar? I wrote about this bug …

Researching a performance issue, we came to a startling discovery:

MySQL 5.7 + binlogs is by default 37-45% slower than MySQL 5.6 + binlogs when otherwise using the default MySQL settings

Test server MySQL versions used:
i7, 8 threads, SSD, Centos 7.2.1511
mysql-5.6.30-linux-glibc2.5-x86_64
mysql-5.7.12-linux-glibc2.5-x86_64

mysqld –options:

--no-defaults --log-bin=mysql-bin --server-id=2

Run details:
Sysbench version 0.5, 4 threads, socket file connection

Sysbench Prepare: 

sysbench --test=/usr/share/doc/sysbench/tests/db/parallel_prepare.lua --oltp-auto-inc=off --mysql-engine-trx=yes --mysql-table-engine=innodb --oltp_table_size=1000000 --oltp_tables_count=1 --mysql-db=test --mysql-user=root --db-driver=mysql --mysql-socket=/path_to_socket_file/your_socket_file.sock …

In this blog, I will provide answers to the Webinar Q & A for Introduction to Troubleshooting Performance: What Affects Query Execution?

First, I want to thank you for attending the April, 7 webinar. This webinar is the third in the “MySQL Troubleshooting” webinar series and last introductory webinar in the series. The recording and slides for the webinar are available here. Here is the list of your questions that I wasn’t able to answer during the webinar, with responses:

Q: If we had some MyISAM tables, could we use …

At Yahoo, we manage a massive number of MySQL databases spread across multiple data centers.

In order to identify and respond to performance issues, we rely on an extremely lightweight and robust web based tool to proactively investigate the issues in them.

The tool has real time tracking features and continually gathers the most important performance metrics, provides visualization and statistical analysis for quickly identifying performance patterns, bottlenecks and possible tuning opportunities.

Features

Lightweight Agentless Java Web Application
Rich User Interface
Gather and Store performance metrics
Detect anomalies and send alerts
Access to Real time Performance data

Open Source

Today, we’re releasing MySQL Performance Analyzer. You can check out the code on …

At Yahoo, we manage a massive number of MySQL databases spread across multiple data centers.

In order to identify and respond to performance issues, we rely on an extremely lightweight and robust web based tool to proactively investigate the issues in them.

The tool has real time tracking features and continually gathers the most important performance metrics, provides visualization and statistical analysis for quickly identifying performance patterns, bottlenecks and possible tuning opportunities.

Features

Lightweight Agentless Java Web Application
Rich User Interface
Gather and Store performance metrics
Detect anomalies and send alerts
Access to Real time Performance data

Open Source

Today, we’re releasing MySQL Performance Analyzer. You can check out the code on …

After many months of heavy development and testing, Debian 8 (Jesse) and Ubuntu 15.04 (Vivid Vervet) were released recently.

For those who already upgraded their systems and/or plan do do it in close future, we prepared builds of WebScaleSQL :-)

• http://repo.psce.com/download/webscalesql/deb/x86_64/vivid/
• http://repo.psce.com/download/webscalesql/deb/x86_64/jessie/

You can also install it using PSCE repository.

I have recently seen several cases when performance for MySQL queries on a single table was terrible. The reason was simple: the wrong indexes were added and so the execution plan was poor. Here are guidelines to help you optimize various kinds of single-table queries.

Disclaimer: I will be presenting general guidelines and I do not intend to cover all scenarios. I am pretty confident that you can find examples where what I am writing does not work, but I am also confident that it will help you most of the time. Also I will not discuss features you can find in MySQL 5.6+ like Index Condition Pushdown to keep things simple. Be aware that such features can actually make a significant difference in query response time (for good or for bad).

What an index can do for you

An index can perform up to 3 actions: filter, sort/group and cover. While the first 2 actions are self-explanatory, not everyone may know what …