Sunday, August 23, 2009

##where implementation complexities lie -- DB, java ...

You could be familiar with all the generic tech below, but when you take over a production codebase as a new "owner", sooner or later you have to wade through megabytes of code and learn to trace the flow. To me, that's the essence of complexity.

For each DB column, how does data flow from end to end? It takes unknowable effort to document just one column in one table. in a DB-centric world (like GS), these are often the first step in understanding (or architecting) a system, either a tiny sub-system or a constellation of systems
DB join logic -- often directly reflects real-world relationship
DB constraints -- they affect system behavior
DB view definitions
stored proc, triggers
html -- can implement categories, multiple-choices, page flow, data clump...
config files that control java/script/proc
everything in JIL
autosys dependencies
javascript
scripts
java/c++/c# -- are the "main" implementation language in a typical financial apps, where most of the code logic exist.

Tracing code flow means we must trace through all of the above. Ironically, interviews can't easily test how fast someone can "figure out" how data flows through a system. I feel this could be the hardest thing to find out during an interview.

This is yet another reason to stay in java (or c++/c#) and avoid spend too much time scripting. Over time you might become better at tracing code flow through java.

I used to think I can figure out the flow by myself. Now i know in a typical financial system this is impractical. You must ask the experienced developers.

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http://www.linkedin.com/in/tanbin