David J Murray
~ Learn and Do - Excel and Share ~

Friendfeed and EDA

Feb 17, 2011

Image by Chaos07 from Pixabay

You're Reading: Friendfeed and EDA

The new release of UniVerse – 11.1 – now has the EDA capabilities that have been in Unidata for some time. But, is this a common method of storing non-1NF data in a 1NF database? This article about friendfeed also uses the same techniques!

The article – http://bret.appspot.com/entry/how-friendfeed-uses-mysql – uses the same technique within MySQL to store JSON objects or as Bret writes “…schema-less bags of properties…”. Any fields/attributes of interest are stored in another table and indexed.

Within U2 EDA – External Data Access – methods, the UniVerse/Unidata records are stored within a BLOB/CLOB field and again, fields of interest can be separated out and indexed. The schema mapping tools supplied within the EDA suite provide a comprehensive method for the mapping process.

The drivers currently supplied are for Oracle, MS-SQL, and IBM DB2. There is no MySQL driver, but there is a EDA API documented, if one was keen enough to write one.

The really interesting notion here is that if a driver was made available for MS-ACCESS, it would be possible to use the new calculating fields within MS-Access 2010 to dynamically extract/translate the BLOB data into the appropriate attributes and values – which is what is really going on within the dictionary definitions within a PICK/U2 environment anyway.

There you go – half-way to PICK on MS-ACCESS. A backwards or forwards step I wonder…

About the Author

<a href="https://davidjmurray.org/author/davidjmurray/" target="_self">djm</a>

djm

I have been in the computer/IT industry for over 35 years. After spending half a life-time in highly proprietary database environments, I have succumbed to the WordPress Eco-system and I'm well down the chasm. I am specializing in AWS hosting, Wordpress CMS, Elegant Themes, in particular Divi and Extra themes.

0 Comments

Submit a Comment

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Pin It on Pinterest

Share This