Oracle
I just wanted to make a quick note that Oracle Mix organized an interesting hybrid between call for papers and abstract judging. Anyone registered at Oracle Mix can propose a session abstract to present themselves or as an idea for others. Everyone can give their votes to the proposed sessions. At the end of the voting deadline (25th of June) Oracle will select the top sessions to be included in the Oracle Open World schedule.
In my previous post, I described the most common cause for unstable plans due to bind peeking — histograms. It is now time to move forward and take a look at another case, namely range-based predicates. Strictly speaking, the cases I’m going to describe can appear without range-based predicates as well, you just need to remember that a range-based operation doesn’t necessarily imply a range-based predicate.
I came across what appeared to be a change to the rules for licensing Oracle Standard Edition — a change that appears to be subtle on the surface, but one that could have significant and surprising repercussions.Mistake or not, though, there is a clear moral to this story. You need to read the license agreement, even when you are only planning a purchase. Trust me — reading the license after the P.O.s have been cut will not make you look good in a situation like this. And not reading the license would be a major mistake indeed!
I decided to reprise my commentary on Oracle RAC and the gv$ views after reading Patrick’s comments on my previous post. It is always encouraging to know that someone is kind enough to read your work and provide insightful feedback – many thanks to him! There are two questions that I wanted to answer here: Can you use the gv$ views with a non-RAC environment? What do the WHERE clauses in a good block-checking script do?
As some of you probably already noticed, there was a thread on AskTom discussing the scalability tests I did back in 2007. You are welcome to read the entire thread, but in a nutshell, Tom Kyte claimed that my tests did not reflect how one would use the result cache in the real world. What is “real world?”
Karun Dutt and I managed to get DBD::Oracle 1.21 to install on a 64-bit Linux OS against the Oracle 11 full client. Here’s what we did.
The 11i TXK AutoConfig and Templates Rollup Patch S (6372396) was released on May 5th. This patch differs from traditional TXK autoconfig template patch releases in that the ATG team decided to include some other important TXK patches also with this release. One of these is TXK Advanced Utilities Rollup Patch C (5011249). As a side effect of this generous inclusion of import updates, the patch size has increased from 16mb (RUP R) to 65mb (RUP S).
n this post and some upcoming posts, I’m going to write more about Oracle application servers, a subject we have addressed too little on the Pythian blog. In this post, I am addressing how to bounce a whole application server, including all tiers and databases from one location. The reason being, I have a request from a client to have the application server be bounced automatically during the weekend to release swaps and to address memory leaks.
If you check out the “Butterfly Effect” on Wikipedia, you’ll find a rather interesting reference to, “sensitive dependence on initial conditions in chaos theory.” Fascinating use of phrase that probably doesn’t mean much to normal people until it happens to you. I could give you lots of theoretical examples, but perhaps a real-life one will make more sense.
A few days ago, a developer and I had an interesting conversation. The developer was trying to tune an expensive SQL statement, using a trial-and-error method. After looking at his method in amusement, I showed him how to identify and tune SQL statements scientifically, and decided to blog about it. Let’s look at a simple case and then proceed to slightly more complex versions.
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