Posts Categorized: Technical Blog

Oracle Exadata V1 Documentation is Published

I was searching for some Exadata-related wait events, and noticed some hits popping up from formerly closely-held Exadata documentation. Upon closer look, I found the full Exadata V1 user’s guide. I hope the V2 documentation will be posted soon.

Exadata Smart Scans and The Flash Cache

One of the key features of Exadata V2 is the flash cache. Although commonly thought of as an OLTP-specific feature, it has also been marketed as a data warehouse accelerator. According to this frequently-used presentation slide, a full Exadata rack provides 21 GB/sec of disk throughput and 50GB/sec of flash throughput. was testing throughput using a simple query, making use of both smart scans and parallel execution. Here’s what the objects look like. They’re running on a quarter rack system with a stated capacity of 4.5GB/sec disk and 11GB/sec flash.

MySQL Troubleshooting for the Obsessive Oracle DBA

One of my favorite customers had a problem. They had to load around 20G of data into a table on MySQL database. The data loaded fine, but when he tried to build few indexes on the database, he got a mysterious error: ERROR 1114 (HY000): The table ‘really_big_table’ is full. The error was mysterious because we had around 1.5T of free space on the disk. Also, if the customer created the indexes before loading the data there was no error. This gave them a work around, but one that slow and annoying. Later, I found out that we are not the first to run into this mystery.

Implementing Exadata: The results are in

Following up on my earlier webinar Implementing Oracle Exadata – Strategies for Success, I’ll be giving another webinar to present the results of the Exadata implementation at LinKShare. I’ll be talking about actual performance results, our zero-downtime go-live, compression experiences, and performance tuning in an Exadata environment.

No Silver Bullet – Sharding and MongoDB

ourSquare, the location based social network, suffered from extended outage yesterday. They explained the causes in a blog post, which caused much discussion around the web. Here’s the gist of the analysis: FourSquare are using MongoDB, which is a sharded database. Data is split between nodes based on a shard key, usually the User ID or something similar. One of the shards became overly loaded. After failing to resolve the issue in other ways, FourSquare decided to add another shard to share the load. This caused the entire cluster to fail.


I wrote my very first Catalyst plugin, and it’s going to be something useful for Galuga. As I don’t have a lot of time, I’ll be succint. As you’ve doubtlessly gathered by now, the name of the game is Catalyst::Plugin::Sitemap. It’s on Github, but it’s not CPANized yet. To use it, add the plugin to your Catalyst app main module

EBS DBA: R12.1.2 Another Step for Automated Vanilla EBS Cloning

If you have tried to automate EBS cloning then you definitely know that you can’t get through without hacking and customizing the Oracle-provided Rapid Clone utility. One of the areas we should “hack” the code to make it running in batch scripts is the services startup bit. The problem is that by default straight after Rapid Clone is completed Oracle starts all the services on the Apps node and until now there wasn’t a way to change it.

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