TL;DR: The realities of modern corporate networks make the move to distributed database architectures inevitable. How do you leverage the stability and security of traditional relational database designs while making the transition to distributed environments? One key consideration is to ensure your cloud databases are scalable enough to deliver the technology's cost and performance benefits.
If you’re familiar with open source BIRT and what the out-of-the-box options for integration are, you know that you had the viewer that could be called by URL, the viewer tag library that allowed you to embed the viewer into a JSP page, or a custom solution you built using the BIRT APIs.
MySQL has information_schema.tables that contain information such as “data_length” or “avg_row_length.” Documentation on this table however is quite poor, making an assumption that those fields are self explanatory – they are not when it comes to tables that employ compression.
IN my previous Article we focused on Cluster Index Scan and Clustered Index Seek operators. Continuing my Article series named Understanding of Execution Plan – part III, we are moving on with some other operators.
I’ve recently worked with customers using replication rings with 4+ servers; several servers accepting writes. The idea behind this design is always the same: by having multiple servers, you get high availability and by having multiple writer nodes, you get write scalability.
These two bind command change the way that the up and down arrow keys work once you start typing a command to only search the history for lines that start with what you've typed so far. It's quite handy and I find it easier to use than ctrl+r.
Look, the more people and teams on your program, the more feedback you need. The more chances you have for getting stuck, being in the death spiral of slowing inertia. What you want is to gain momentum.
Today Rackspace is doubling down on open source database technologies. Why? Because that’s where the industry is heading. The company created a separate business unit of 100+ employees focused solely on database workloads.