Database dating website
This heavily-denormalized approach also has performance benefits when populating the match engine.
Remember from Part 1 that match instances are “slaved” to the master datastore, polling periodically for changed user records.
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This is part 2 in a series about the architecture of Like a lot of people building websites today, I emerged from the 2000s with a lot of experience building applications using the “traditional web stack”: Some sort of web server that accepts HTTP requests, issues SQL queries to an RDBMS, and returns the results as formatted HTML.
Starting in university and proceeding throughout my career, I learned the “correct” way to model data structures and query them with relational algebra. In retrospect, if I ever had real traffic, this schema would not have performed.
” In a relational world, this would be a meaningful question, but it doesn’t make sense in the world of No SQL. Instead you should ask: What high-volume queries will I need to serve with my data?
Rendering 50 match results might have required hundreds of queries.You will also have access to data showing not just how many visitors, but in what manner did they come to your website, such as time intervals and search keywords.Secure/protected members areas programming: Internal messaging system (Instant Messenger).For example, when Similarity renders a set of 50 match results, it needs almost all the stored information for 51 users (the matches you).The optimum chunk size for this query is “all the data for a single user”.