There has been a recent spate of blog posts and tweets regarding MaxScale binary downloads requiring acceptance of an Evaluation License that some in the community perceived to be onerous. MariaDB took quick action to make these binaries available without accepting the license, and were quickly – and rightly – praised for listening to the community. [UPDATE 2016-04-14: It turns out the measures MariaDB took were incomplete, and that accessing downloads of MaxScale still require accepting the Evaluation License terms – see comments for details] The MaxScale binaries are part of a larger concern for me, and I commented as much on the blog highlighting MariaDB’s action. That comment hasn’t been approved by the author (though later comments have been), so I thought it might not be the right venue to raise such questions – hence this blog post. I hope MariaDB proves as responsive to these concerns/questions as they were to the MaxScale binary issues! Continue reading Requests for MariaDB
In a world where new data processing languages appear every day, it can be helpful to have tutorials explaining language characteristics in detail from the ground up. This blog post is not such a tutorial. It also isn’t a tutorial on getting started with MySQL or Hadoop, nor is it a list of best practices for the various languages I’ll reference here – there are bound to be better ways to accomplish certain tasks, and where a choice was required, I’ve emphasized clarity and readability over performance. Finally, this isn’t meant to be a quickstart for SQL experts to access Hadoop – there are a number of SQL interfaces to Hadoop such as Impala or Hive that make Hadoop incredibly accessible to those with existing SQL skills.
Instead, this post is a pale equivalent of the Rosetta Stone – examples of identical concepts expressed in three different languages: SQL (for MySQL), Pig and Spark. These are the exercises I’ve worked through in order to help think in Pig and Spark as fluently as I think in SQL, and I’m recording this experience in a blog post for my own benefit. I expect to reference it periodically in my own future work in Pig and Spark, and if it benefits anybody else, great. Continue reading Rosetta Stone: MySQL, Pig and Spark (Basics)
Oracle University recently unveiled a new online training offering – the MySQL Learning Subscription. The combination of freely-accessible and compelling paid content makes this an exciting development to me, and should prove valuable to the community and customer base alike. This post will briefly explore this new MySQL educational resource.
A while back, I wrote a blog post explaining how
PERFORMANCE_SCHEMA improvements in MySQL Server 5.7 provides new visibility into the SSL/TLS status of each running client configuration. An excellent recent post from Frederic Descamps at Percona covers similar territory. Both of us use
PERFORMANCE_SCHEMA tables directly – a powerful interface, but one that requires a query joining multiple tables. Thanks to the excellent work of Mark Leith, and a contribution from Daniël van Eeden, access to this same information is made far easier via the
SYS schema. Continue reading SYS Schema: Simplified Access To SSL/TLS Details
MariaDB recently announced the migration of the JIRA bug tracking system from the current Atlassian-hosted instance to a self-hosted installation to be found at jira.mariadb.org. This likely isn’t a big deal to the community, and MariaDB is being very proactive in coordinating this change in the community – but it’s an opportunity for me to ask a few questions regarding MariaDB’s JIRA usage to which I can’t find answers. I certainly welcome answers, feedback or clarification from MariaDB staff.
Before getting started, I should say that I appreciate MariaDB – the product, the company, the staff and the foundation. MariaDB/SkySQL/Monty Programs serve a unique and useful purpose for community, users and staff who prefer not to deal with Oracle. I don’t view myself as a critic of MariaDB, and I consider a good number of MariaDB staff my friends. Getting a better understanding of how MariaDB operates the bug system is of interest to me, and perhaps the larger community as well. Continue reading Questions about MariaDB’s bug system
After nearly ten years working for MySQL, I’m pursuing a new opportunity to expand into new areas of open source data infrastructure as part of the excellent Cloudera support organization. I’ve been fortunate to work with incredibly talented, dedicated and wonderful people on relational databases, and I’m looking forward to doing the same in the Hadoop space in my new role. Despite this transition, I intend to remain active in the MySQL community – most immediately, finishing off a handful of half-finished blog posts in the coming weeks.
My various bit roles at MySQL have given me a front-row seat as the company grew from a smaller independent company to a prominent product at Sun to part of a much larger, enterprise-focused portfolio within Oracle. I’m incredibly proud of the progress MySQL has made over the years, in each stage – but the past 6 years under the stewardship of Oracle are particularly satisfying. The Oracle way of doing things is well-understood, and has historically produced very successful results – for the products, the customers and the business – but it’s not for everybody. While I certainly appreciate the motivation of those who wanted to continue an independent MySQL tradition outside of Oracle, my heroes are the committed MySQL staff who stayed to ensure MySQL flourished inside Oracle. Thanks for all you have done – and continue to do – to ensure MySQL is strong and gets better.
Oracle isn’t perfect, and there have been mistakes made along the way, and things I still wish could change today. It’s a big company, and MySQL is a small part of it. But there is an incredible dedication within the MySQL team at Oracle to improve products and experiences for both community users and customers alike. There’s also a number of legacy Oracle staff who have worked hard to position MySQL for success inside Oracle, and to help apply and adapt Oracle ways of doing things to add value for MySQL users. Keep up the good work – I know I’m excited to see what the future holds for MySQL.
Transport Layer Security (TLS, also often referred to as SSL) is an important component of a secure MySQL deployment, but the complexities of properly generating the necessary key material and configuring the server dissuaded many users from completing this task. MySQL Server 5.7 simplifies this task for both Enterprise and Community users. Previous blog posts have detailed the changes supporting Enterprise builds; this blog post will focus on parallel improvements made to MySQL Community builds.
Knowing which privileges a given account has is easy – just issue SHOW GRANTS FOR user@host. But what about when you need visibility into privileges from the other direction – which accounts can access specific data? If you’re a DBA – or perform DBA duties, regardless of your title – you may have been asked this question. It’s an important question to ask in an audit or compliance review – but it can be a difficult question to answer. This post will walk through how to assess this, but if you’re impatient and need answers to this question immediately, jump to the end – there’s a simple shortcut. Continue reading Which accounts can access this data?
MySQL Connector/Java 5.1.38 was released earlier this week, and it includes a notable improvement related to secure connections. Here’s how the change log describes it:
When connecting to a MySQL server 5.7 instance that supports TLS, Connector/J now prefers a TLS over a plain TCP connection.
This mirrors changes made in 5.7 to the behavior of MySQL command-line clients and libmysql client library. Coupled with the streamlined/automatic generation of TLS key material to ensure TLS availability in MySQL Server 5.7 deployments, this is an important step towards providing secure communication in default deployments. Continue reading Secure Java Connections by Default
MySQL Connector/Java supports connection attributes since version 5.1.25. This projects useful metadata about the client environment into the database, where MySQL administrators can query PERFORMANCE_SCHEMA tables to remotely survey application deployment environments. One useful piece of information exposed is the version and vendor of the JVM in use by the client. This very short blog demonstrates how to get this information from PERFORMANCE_SCHEMA.