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Table Expansion

I’ve often found that while I’m investigating one Oracle feature I get waylaid by noticing anomalies in other parts of the code. I was caught by one of these events a little while ago while experimenting with the new ( Inmemory Columnar Store.  After reading a posting by Martin Bach I asked the question:

“If you have a partitioned table with a local index and one of the table partitions has been declared INMEMORY, would a query that could use that index be able to apply table expansion to produce a plan that did a tablescan on the in-memory partition and an indexed access path on the partitions that weren’t in-memory?”

Fedora 23 and Oracle 11gR2/12cR1

A few months ago I mentioned doing some Fedora 22 installations. At the time I did some pre-emptive installations on the Alpha release of Fedora 23 also.

Now the final release of Fedora 23 is out, I’ve run through the articles again to make sure things are all ship-shape.

Wrong Results

Here’s a little gem in 12c that arrived in my email a few days ago: a query where the result depends on the SQL*Plus arraysize!

The email had a short description, and a script to create a small data set that would demonstrate the problem. I’m not going to show you the query, or the result set, but here’s a sample of the output from an SQL*Plus session after creating the data. This is, by the way, on a “single-user” system – there is no way that some other session is changing the data – especially after the opening “set transaction”:

Multitentant (Pluggable Database) Videos

It’s been over 2 years since 12c was released and there still seems to be a lot of confusion about the pluggable database stuff. I think most people know the top-level concept, there’s only so many times you can see the memory stick analogy before it gets burned on your skull, but that doesn’t do much to help with the reality of working with it day-to-day.

PL/SQL Functions

Assuming everything else has been tuned to perfection, what’s the best you can do while calling PL/SQL functions from SQL ? Here’s a little code to create a table with some data, and a function that we can use to start an investigation:

PDB Logging Clause… Again…

About 14 months ago I spotted a problem with the PDB Logging Clause. I opened an SR and several months later I got a patch, which unfortunately didn’t fix the issue, just altered the symptom somewhat. I wrote about that patch here.

Yesterday I got a new patch, which actually does fix the problem, so now the PDB Logging Clause works as documented!

I’ve updated the PDB Logging Clause article to reflect the change.

Result Cache 2

Following on from my earlier posting of problems with temporary table and the PL/SQL result cache (a combination which the manuals warn you against) here’s another problem – again, to a large degree, self-inflicted.

Imagine you have a complex report involving a large number of financial transactions with a need to include calculations about current exchange rates. Unfortunately the rules about calculating the appropriate exchange rate for any transaction are complex and you find you have a choice between adding 6 tables with outer joins and a couple of aggregate (max) subqueries to the base query or calling a PL/SQL function to calculate the exchange rate for each row. I’m going to create an extremely simplified model of this requirement:

Result Cache

Yesterday I thought I’d spend half an hour before breakfast creating a little demonstration of a feature; some time about midnight I felt it was time to stop because I’d spent enough time chasing around a couple of bugs that produced wrong results in a variety of ways. Today’s short post is just little warning: be VERY careful what you do with the PL/SQL result cache – if you use the results of database queries in the cache you may end up with inconsistent results in your application. Here’s one very simple example of what can go wrong, starting with a little script:

Index Advanced Compression: Multi-Column Index Part I (There There)

I’ve discussed Index Advanced Compression here a number of times previously. It’s the really cool additional capability introduced to the Advanced Compression Option with, that not only makes compressing indexes a much easier exercise but also enables indexes to be compressed more effectively than previously possible. Thought I might look at a multi-column index to highlight just […]


Here’s a simple data set – I’m only interested in three of the columns in the work that follows, but it’s a data set that I use for a number of different models: