Join Percona’s Software Engineer (PXC Lead), Krunal Bauskar as he presents Percona XtraDB Cluster 101 on Thursday, December 7, 2017, at 7:00 am PST / 10:00 am EST (UTC-8).

Tags: Percona XtraDB Cluster, MySQL, High Availability, Clustering

Experience Level: Beginner

Percona XtraDB Cluster (PXC) is a multi-master solution that offers virtual synchronous replication among clustering node. It is based on the Codership Galera replication library. In this session, we will explore some key features of Percona XtraDB Cluster that make it enterprise ready including some recently added 5.7 exclusive features.

This webinar is an introductory and …

Percona announces the release of Percona Monitoring and Management 1.5.2. This release contains fixes to bugs found after Percona Monitoring and Management 1.5.1 was released.

Bug fixes

• PMM-1790: QAN displayed query metrics even for a host that was not configured for mysql:queries or mongodb:queries. We have fixed the behaviour to display an appropriate warning message when there are no query metrics for the selected host.
• PMM-1826: If PMM Server 1.5.0 is deployed via Docker, the Update button would not upgrade the instance to a later release.
• …

We are pleased to announce that MySQL Enterprise Monitor 4.0.2 is now available for download on the My Oracle Support (MOS) web site. It will also be available for download via the Oracle Software Delivery Cloud in a few days. MySQL Enterprise Monitor is the best-in-class tool for monitoring and management of your MySQL assets and is included with your MySQL Enterprise Edition and MySQL Enterprise Carrier Grade subscriptions.

You can find more information on the contents of this release in the change log.

Highlights of MySQL Enterprise Monitor 4.0 include:

• Modern look and feel: a redesigned user interface delivers a vastly improved overall user experience. The visible changes--the layout, the icons, the and the overall aesthetics--provide a more natural and intuitive experience. Views dynamically change and …

Helping users securely automate and manage their open source databases has been at the core of our efforts from the inception of Severalnines.

And ever since the first release of our flagship product, ClusterControl, it’s always been about making it as easy and secure as possible for users to deploy complex, open source database cluster technologies in any environment.

Since our first steps with deployment, automation and management we’ve perfected the art of securely deploying highly available open source database infrastructures by developing ClusterControl from a deployment and monitoring tool to a full-blown automation and management system adopted by thousands of users worldwide.

As a result, ClusterControl can be used …

Recently there have been several issues reported to me about DDL activity causing MySQL crash scenarios. In one case it stemmed from dropping multiple databases, one after the other in rapid succession. But in the case that I was recently dealing with directly, where we were upgrading to MySQL 5.7, it was the result of mysql_upgrade running an ALTER TABLE FORCE on a 2.2Tb table in order to convert it to the new microsecond precision supporting data format.

The issue occurred after the intermediate table had been completely filled with all the necessary data and right when MySQL would swap out the existing table for the intermediate. After a period of time MySQL crashed and the following InnoDB monitor output was found in the error log.

2017-11-19T00:22:44.070363Z 7 [ERROR] InnoDB: The age of the last checkpoint is 379157140, which exceeds the log group capacity 377483674.
InnoDB: …

In this post, we’ll briefly look at window functions in MySQL 8.0.

One of the major features coming to MySQL 8.0 is the support of Window functions. The detailed documentation is already available here Window functions. I wanted to take a quick look at the cases where window functions help.

Probably one the most frequent limitations in MySQL SQL syntax was analyzing a dataset. I tried to find the answer to the following question: “Find the Top N entries for each group in a grouped result.”

To give an example, I will refer to this request on Stackoverflow. While there is a solution, it …

The story of Steven Mapes, an experienced software developer who has been using SQLyog MySQL GUI since 2002.

We were so thrilled to speak with Steven Mapes for two simple reasons. One, he is an ardent user of SQLyog. Two, he has been using the tool since 2002 (we had released the GA version of SQLyog in 2002). And, it is users like Steven who make the product successful with their constant support and feedback that keeps us going.

We go down memory lane and learn some interesting facts about SQLyog that made Steven stick with the tool for more than a decade.

Steven Mapes is a self-employed software solutions provider who develops web-based polyglot solutions for clients often hosted within the cloud since 2012. Before it, he was the Head of IT for Moko Social Media in the UK. When asked about how he came across SQLyog and the need to use the tool, Steven says,”My first exposure to SQLyog was back in 2002 when the …

Amazon Web Services (AWS) is a cloud platform that offers a wide variety of services including computing power, database storage, content delivery and other functionality that targets businesses of all sizes. One of their database solutions includes the Amazon Relational Database Service. Amazon RDS includes a number of popular RDBMSes, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server, as well as tools to manage your databases and monitor their performance.

Despite the wide range of metrics available within the Amazon RDS console, there are some very good reasons for using your own monitoring tool(s) instead or in addition to those offered by Amazon RDS. For example, familiarity with your own tool(s) or access to features that Amazon RDS does not provide would constitute two persuasive reasons for employing a local tool.

With traditional software monitoring platforms such as Monyog still enjoying …

JSON data is a wonderful way to store data without needing a schema but what about when you have to yank that data out of the database and apply some sort of formatting to that data?  Well, then you need JSON_TABLE.

JSON_TABLE takes free form JSON data and applies some formatting to it.  For this example we will use the world_x sample database's countryinfo table.  What is desired is the name of the country and the year of independence but only for the years after 1992.  Sound like a SQL query against JSON data, right? Well that is exactly what we are doing.

We tell the MySQL server that we are going to take the $.Name and $.IndepYear key's values from the JSON formatted doc column in  the table, format them into a string and a integer respectively, and alias the key value's name to a table column name that we can use for qualifiers in an SQL statement.

 …

Amazon Redshift has been providing scalable, quick-to-access analytics platforms for many years, but the question remains: how do you get the data from your existing datastore into Redshift for processing? Tungsten Replicator provides real-time movement of data from Oracle and MySQL into Amazon Redshift, including flexible data handling, translation and long-term change data capture.

In our webinar, Wednesday, December 13th, we will review:

• How Amazon Redshift replication works
• Deployment from MySQL or Oracle
• Deployment from Amazon RDS
• Provisioning/seeding the original information
• Filtering and accounting for data differences
• Data concentration/aggregation with single-schema …