In the past, we’ve shared why you should love MySQL and how it helped Pinterest scale via sharding. At Oracle Open World today, we announced that we’re open-sourcing the vast majority of our automation that maintains our MySQL infrastructure. In this post, we’ll detail our MySQL environment, the tools used to manage it and how you can implement them to automate your MySQL infrastructure.

Basics of MySQL at Pinterest

We've historically used MySQL to store some of our most important data, including Pins, boards, image metadata and …

In MySQL 5.7, we have enhanced the optimizer so that derived tables and views are handled more consistently.

Just to recap: A derived table is a subquery that can take the place of a table in the FROM clause of an SQL statement.…

The MySQL Router is a new building block for high availability solutions. MySQL Router simplifies development of high availability applications by intelligently routing queries to MySQL Servers for increased performance, robustness, and uptime. MySQL Router also helps in load balancing of read or write transactions to a database with support of multiple router connections to multiple clients.

There are various use cases where you can use multiple router connections.
- Write to a DB can be routed using one router and read can be happened by multiple router connections to have a better performance and stability
- If client and servers are in specific region , we can use multiple routers in the specific region
- Different warehouse can be handled by multiple routers considering the load.

These are few examples usecases. You can define your own usecase and check if it suites your environment. Also you …

MySQL Fabric is an extensible framework for managing farms of MySQL Servers. Two primary features have been implemented - High Availability (HA) and scaling out using data sharding. These features can be used in isolation or in combination.

MySQL Fabric setup is a process in which you need to run different commands in a sequence and use the corresponding logs for future reference. This blog tells about an easy process to do the initial setup of a Fabric system using config file. You need to define the properties file as per your requirement and run a similar python script while will do the setup.
Note: This fabric setup script is basically for release 1.5.6 or less and it is tested in our test environment.

Precondition:
- Fabric manage Setup and manage start is already triggered.
- Database is created OR shard servers have database already present.

Properties …

Recently at Percona Live Amsterdam I gave a talk titled Databases in the Hosted Cloud (I’m told I got a 4/5 rating for this talk). It was before AWS re:Invent, so obviously some of the details in the talk have changed. For one, now there is also Amazon RDS for MariaDB. But there has also been other changes, i.e. HP’s Public Cloud (HP Helion Public Cloud) will sunset January 31 2016.

That’s a slide from my deck. I basically have to …

Adding good content to Twitter can be a pain. I can’t do it during working hours, and I don’t have much time at night. But, the more content you have, the more followers you can gain, and the more your original tweets can be seen (hopefully). I have written several posts about using the latest Perl-Twitter API – Net::Twitter::Lite::WithAPIv1_1, so you might want to check these out as well.

– Use MySQL and Perl to automatically find, follow and unfollow twitter users

– Using Perl to retrieve direct messages from Twitter, insert messages into a MySQL database and then …

Now that MySQL 5.7 has become GA it’s a good time to highlight how much performance has improved in replication since the 5.6 era. This blog post will focus on the performance of the multi-threaded slave applier (MTS), and about it’s scalability in particular.…

MySQL 5.7.9 has a new feature, that simplifies queries that deal with JSON data and makes more human-readable: inlined JSON path expressions. Now you can do following:

mysql> CREATE TABLE employees (data JSON);
Query OK, 0 rows affected (0,01 sec)

mysql> INSERT INTO employees VALUES ('{"id": 1, "name": "Jane"}');
Query OK, 1 row affected (0,00 sec)

mysql> INSERT INTO employees VALUES ('{"id": 2, "name": "Joe"}');
Query OK, 1 row affected (0,00 sec)

mysql> SELECT * FROM employees WHERE data->'$.id'= 2;

+--------------------------+
| data                     |
+--------------------------+
| {"id": 2, "name": "Joe"} |
+--------------------------+
1 row in set (0,01 sec)

Let’s take a closer look at the expression in the WHERE clause.…

MySQL 5.7 has been recently declared Generally Available and in it there is a set of new replication features. Over the last 6 years MySQL replication has evolved at a tremendous pace. MySQL 5.6 brought us a lot of new replication features, many that were ground breaking and yes, sometimes controversial.…

Many of our users speak highly of our product ClusterControl, especially how easy it is to install the software package. Installing new software is one thing, but using it properly is another.

We all are impatient to test new software and would rather like to toy around in a new exciting application than to read documentation up front. That is a bit unfortunate as you may miss the most important features or find out the way of doing things yourself instead of reading how to do things the easy way.

This new blog series will cover all the basic operations of ClusterControl for MySQL, MongoDB & PostgreSQL with examples explaining how to do this, how to make most of your setup and provides a deep dive per subject to save you time. 

These are the topics we'll cover in this series:

• Deploying the first clusters
• Adding your existing infrastructure
• Performance and health monitoring …