Sunday, February 12, 2017

This Week

1. What's wrong with this picture

"If a collection of values is atomic, store them together. Meaning, if you always care about the entire group, if you never search for nested values and never sort by nested values, then they should be stored together as a single field value. If not, they should be stored in a separate table, each value bring a row, each assigned the parent ID (foreign key) of a record on the other table that "owns" them as a group. For more info, search on the term "database normalization".

Some databases, support an array as a data type. For example, Postgres allows you to define a column as a one-dimension array, or even a two dimension array. If your database does not support array as a type of column definition, transform you data collection into an XML or JSON support if your database your database supports that type. For example, Postgres has basic support for storing, retrieving, and non-indexed searching of XML using XPath. And Postgres offers excellent industry-leading support for JSON as a data type including indexed support on nested values. Going this XML/JSON route can be an exception to the normalization rules I mentioned above." --Response to the Quote of the Week listed next,

Sunday, February 5, 2017

Meaning Criteria and Entity Supertype-Subtypes

(This is a rewrite of a 2012 post)

Here is what's wrong with last week's picture, namely:

"I have a database for a school ... [with] are numerous tables obviously but consider these:
  • CONTACT - all contacts (students, faculty) has fields such as LAST, FIRST, MI, ADDR, CITY, STATE, ZIP, EMAIL;
  • FACULTY - hire info, login/password for electronic timesheet login, foreign key to CONTACT;
  • STUDENT - medical comments, current grade, foreign key to CONTACT.
Do you think it is a good idea to have a single table hold such info? Or, would you have had the tables FACULTY and STUDENT store LAST, FIRST, ADDR and other fields? At what point do you denormalize for the sake of being more practical?

What would you do when you want to close out one year and start a new year? If you had stand-alone student and faculty tables then you could archive them easily, have a school semester and year attached to them. However, as you go from one year to the next information about a student or faculty may change. Like their address and phone for example. The database model now is not very good because it doesn’t maintain a history. If Student A was in school last year as well but lived somewhere else would you have 2 contact rows? 2 student rows?  Or do you have just one of each and have a change log. Which is best?" --comp.databases.theory