Tag Archives: 18c

Online Statistics Gathering for ETL – Part 3

Preparing my session on Online Statistics Gathering for ETL for the DOAG conference, I noticed some points that I didn’t covered in the previous two blog posts. The first point is showing the problem that may arise if indexes are involved. The second one is about partition exchange load and it completes the topic of partitioned tables started in part 2. No blog posting on Oracle products is nowadays complete without mentioning the cloud. The third point is about Autonomous Data Warehouse Cloud Service and Online Statistics Gathering improvements. Continue reading

Polymorphic Table Functions (PTF) , Part 2 – More Basics With Some Deep-Dive

In the first part of PTF series we went through a very basic example removing some columns and adding a new column with a constant value. Starting from the same example we’ll do something more meaningful in the second part. How about concatenating the values of the removed columns as CSV in a new column? Continue reading

Polymorphic Table Functions (PTF) – Tinkering with Rowsets

Writing the second “basics” post on PTF I discovered, that there were much more details worth mentioning, than it would be acceptable for a “basics” post and would blow it up anyway 😉 So I decided to to separate the tests and finding in this (more deep-dive) post. Continue reading

Polymorphic Table Functions (PTF) , Part 1 – Basics

I have already posted some examples on Polymorphic Table Functions in Oracle 18c in the last months. I quickly realized how difficult it is to explain completely new feature using advanced examples and wanted to write a series of posts starting from very basics. Now that the Germany’s Oracle User Group (DOAG) has accepted my presentation on PTF for their annual conference is the time to do it.

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Polymorphic Table Functions Example – (NOT) Transposing Rows to Columns

It was not possible for me to write a follow-up to my last post about Transposing Columns To Rows with PTF showing an opposite task of transposing rows to columns right next weekend as I thought. Partly because of our awesome Trivadis TechEvent which took place back then and partly because this kind of the exercise turned out to be much more difficult one as supposed. Actually it is a nice example to see the limitations of the new feature. Continue reading