I read a lot of posts about normalizing/denormalizing tables within the BigTable architecture. I understand BigTable does not support joins because of scalability and performance.
However I'm wondering how I can solve the problem below. I have a sime table containing meter reading per user. The table will contain: - Reference to user - Date of Meter Reading - Value (1) Now what I want to collect is the average value per month. E.g - User1, 1 jan 2009, 1000 - User1, 1 feb 2009, 1100 - User1, 1 mar 2009, 1200 The avarage will be 100 But maybe the user misses registering the meter reading on 1 feb: - User1, 1 jan 2009, 1000 - User1, 1 mar 2009, 1200 The average will still be 1200 (2) Next I like to get the average value per month over all users. I guess the answer will be to store average values when creating (and updaing existing) meter reading records. But how should this be implemented? --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Google App Engine" group. To post to this group, send email to google-appengine@googlegroups.com To unsubscribe from this group, send email to google-appengine+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/google-appengine?hl=en -~----------~----~----~----~------~----~------~--~---
