We are elated to announce the availability of SQLyog for Amazon Aurora Databases. You can now manage Amazon Aurora databases with SQLyog, the most powerful database manager, admin and GUI tool.

About Amazon Aurora:
Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.

SQLyog + Amazon Aurora:
It is very easy to connect Aurora database using SQLyog: just enter the DNS address of the Aurora instance as the host parameter, port number from the endpoint as the port parameter and key in your credentials. You can manage your Aurora databases with powerful tools like Synchronisation, Import External Data, Backup Wizard, Job Scheduler etc.

Not only these, you get all the …

Tue, 2015-08-18 15:06dion_cornett_gThe Convergence of Enterprise-Class and Choice – an Open Source Ecosystem Running on a True Enterprise-Class Platform: MariaDB Enterprise on IBM z Systems

While selling free software sounds like a hard job, the growing mainstream adoption of open source makes it one of the most exciting segments in IT. In my daily meetings with customers, there is no ambiguity that open source is the foundation for the hottest trends in technology, including Cloud, Analytics, Mobile and Social. Gartner reports that 70% of all new applications are built using an open source database. (1)

Yet until now, many customers had to make compromises related to leveraging the innovation, high-quality code, lower costs, and choice inherent in open source, versus leveraging highly secure, scalable and power efficient enterprise-class z Systems offered by IBM.

Today at LinuxCon North America that changes. We at …

Giuseppe and Shlomi both blogged on one of the recent changes introduced to MySQL 5.7.8-rc, where the setting show_compatibility_56 is now set OFF by default.

Both raise very good points. Here is how we plan to address them:

1. The permissions issue reported by Giuseppe will be fixed.
2. When selecting from information_schema tables in show_compatibility_56=OFF mode, an error …

Today’s topic is related primarily to compiling MySQL from source using CMAKE and what kind of issues we encounter during this task. We want to install MySQL 5.6.19 with Debug+Valgrind etc. On CentOS 7 here are my dependency packages start point:

[root@centos-base ~]# yum install zlib zlib-devel openssl openssl-devel valgrind valgrind-devel cmake gcc cpp ncurses ncurses-devel

Here is my CMAKE command:

[root@centos-base mysql-5.6.19]# cmake -DCMAKE_INSTALL_PREFIX=/opt/mysql-5.6.19 -DMYSQL_DATADIR=/var/lib/mysql -DSYSCONFDIR=/opt/mysql-5.6.19 -DWITH_SSL=system -DMYSQL_TCP_PORT=3306 -DMYSQL_UNIX_ADDR=/opt/mysql-5.6.19/mysqld.sock -DDEFAULT_CHARSET=utf8 -DDEFAULT_COLLATION=utf8_general_ci -DWITH_DEBUG=1 -DCOMPILATION_COMMENT="Shahriyar Rzayev's CentOS MySQL-5.6.19" -DOPTIMIZER_TRACE=1 -DWITH_ZLIB=system -DWITH_VALGRIND=1 -DCMAKE_C_FLAGS=-DHAVE_purify -DCMAKE_CXX_FLAGS=-DHAVE_purify

If you try to run …

“Shard. Or do not shard. There is no try.”
                                          - Yoda

This is a technical dive into how we split our data across many MySQL servers. We finished launching this sharding approach in early 2012, and it’s still the system we use today to store our core data.

Before we discuss how to split the data, let’s be intimate with our data. Mood lighting, chocolate covered strawberries, Star Trek quotes…

Pinterest is a discovery engine for everything that interests you. From a data perspective, Pinterest is the largest human curated interest graph in the world. There are more than 50 billion Pins that have been saved by Pinners onto one billion boards. People repin and like other Pins (roughly a shallow copy), follow other Pinners, boards and interests, and …

In order to make it easier to work with data stored as binary strings (BINARY/VARBINARY) we are considering extending the &,|,^,~,> operators, to accept any-size binary strings and return binary string data as response. This can be useful for several complex data types not covered by the basic SQL data types (e.g. working with IPV6 addresses, manipulating UUID, etc).

Motivation

Let’s say we’re interested in getting all the networks that contain the given IP address. With ipv4 the common practice is to store the IP addresses as INT and execute:

SELECT inet_ntoa(network) AS network, inet_ntoa(netmask) AS netmask FROM network_table WHERE (inet_aton('192.168.0.30') & netmask) = network;

At the moment you are not able to do the same with ipv6 because inet6_aton('2001:0db8:85a3:0000:0000:8a2e:0370:7334') & netmask converts both operands from VARBINARY to BIGINT resulting in data truncation and …

We already have seen two articles for setting up MySQL Monitoring with Nagios and Percona Monitoring Tools for Nagios. Those posts covers configuration of nagios on single instance. Though following…

The post How to Add Remote MySQL Server to Nagios Monitoring first appeared on Change Is Inevitable.

In MySQL QA Episode #12, “MySQL is Crashing, now what?,” Roel demonstrated how to collect crash-related information that will help Percona discover what the issue is that you are experiencing, and fix it.

As a Support Engineer I (Sveta) am very happy to see this post – but as a person who better understands writing than recording – I’d like to have same information, in textual form. We discussed it, and decided to do a joint blog post. Hence, this post

If you haven’t seen the video yet, or you do not have any experience with gdb, core files and crashes, I highly recommend to watch it first.

Once you have an idea of why crashes happen, what to do after it happens in your environment, and how to open a  …

MySQL Fabric: Setup Checklists

MySQL Fabric is an open-source solution released by the MySQL Engineering team at 
Oracle. It is an extensible and easy to use system for managing a MySQL deployment 
for Sharding  and High-availability.

This handles machines, multiple servers in different platforms. The usability, recovery, 
stability of MySQL Fabric is much more required as it is a complete distributed system. 
The setup of MySQL fabric involves servers,database, group details, shard details. So we 
need to ensure the fabric setup using below checklists.

Pre-Installation Checklist:

Query tuning is something that a DBA does on a daily basis - analyse queries and updates, how these interact with the data and schema, and optimize for performance. This is an extremely important task as this is where database performance can be significantly improved - sometimes by orders of magnitude. 

In the next few posts, we will cover the basics of query tuning - indexing, what types of queries to avoid, optimizer hints, EXPLAIN and execution plans, schema tips, and so on. We will start, though, by discussing the process of query review - how to gather data and which methods are the most efficient.

This is the ninth installment in the 'Become a MySQL DBA' blog series. Our previous posts in the DBA series include Configuration Tuning, …