On our production system we’ve enabled the collection of PL/Scope metadata. Since this is a SmartDB/PinkDB-application (business logic and queries in the database), this makes it really easy to find, inspect and modify the source code of queries that doesn’t run efficiently. Now it’s even easier using reports in Oracle SQL Developer.
Thanks to all of you that attended my PL/Scope session at Code One in San Fransisco!
You can find the scripts from my presentation about using PL/Scope to find your way through a PL/SQL code base in my github repository here: https://github.com/nicetheory/PL-Scope
Working on a routine for dropping old partitions from a log table, I realized that I don’t have to know the name of the partition I want to drop. I can just specify a value for the partition key and Oracle resolves the partition for me. Here’s how.
I had a case where I had to match some names and needed to find a set of ways to clean and match strings. The solution I ended up with was a combination of regular expressions, the NLSSORT-function and the UTL_MATCH-package with the Jaro-Winkler algorithm.
I’ve always just used the TRIM-function to remove leading and trailing spaces. While going through Markus Winands presentation “Four* Major Database Release of 2017 in Review” on SlideShare.net, I realized that the TRIM function can do more than just remove spaces.
