Posts Categorized: Technical Blog

The Exadata Installed Base, Quantified

Update 13-June-2012: It has come to my attention that the numbers from the original source may have been incorrect or improperly released. To avoid confusion and potentially misleading information, the original content of this blog post has been removed.

NoCOUG Contest Take #1: The Es-cu-el Spell

As heralded by Iggy Fernandez and Gwen Shapira, NoCOUG has launched its Third International SQL vs. NoSQL Challenge. Pythian is sponsoring the challenge, so I decided not to take part in the contest. However, I’m still having a crack at the problem just for fun. Here is my first take on it.

How to Fail and Succeed and Never Give Up

The purpose of this blog isn’t to show off the results of my presentation at Collaborate conference, but to inspire you (and maybe myself in the future) and give you additional motivation to never give up on your dreams if you truly believe in them.

Upgrade Exadata to 11.2.0.3

I’ve recently done two Exadata upgrades to 11.2.0.3 and want to share the experience. I hope this short note will help someone to make the decision, calculate an estimation, and prepare for maintenance. I am going to talk about upgrade from the version 11.2.0.2 BP10 to 11.2.0.3 BP2.

Oracle Database Appliance as a Consolidation Platform

I had the chance to talk to several Oracle Database Appliance users at the annual Collaborate 2012 conference last month in Las Vegas. A common theme in these discussions, as well as discussions with Pythian clients, is an interest in using the ODA as a large-scale consolidation platform. I found this interesting and decided to dig a little further.

Hardware Component Failures – Survey Results

When preparing for the the IOUG Collaborate 12′s deep dive on deploying Oracle Databases for High Availability, I wanted to provide some feedback on which hardware components are failing most and least frequently. I believe I have a reasonably good idea of the answer, but I thought that providing some more objective data would be better. I couldn’t find results from a more scientific research, so I decided to organize a poll. This blog post shows the results, which I promised to share with several groups.

Two Database Engines, One Table

Our flagship tool, Support Track, is steadily migrating over to use DBIx::Class to read and manipulate our databases. This is a very useful tool, for many reasons that can be better explained by others. One of these reasons is that, thanks to the magic of SQLite, it lets us write unit test scripts, and other quick prototyping codes, without needing to set up a heavy database server to run against. However, Support Track is powered by Oracle, not SQLite, and while DBIx::Class abstracts most of the differences out of our code, it can’t completely eliminate them. How do we overcome the syntactic differences?

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