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February 2, 2020 98 mins

We dive into declarative vs imperative query languages as we continue to dive into Designing Data-Intensive Applications while Allen is gallivanting around London, Michael had a bullish opinion, and Joe might not know about The Witcher.

If you're reading this episodes show notes via your podcast player, you can find this episode's full show notes at https://www.codingblocks.net/episode125 where you can join in on the conversation.

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  • We thank everyone that left us some great reviews:
    • iTunes: 3divint, RyansWorld23
    • Stitcher: Thomasvc, thew_s_witcher4, DaveTheShirt, Yarpskendaya
  • Get your shin kicking shoes on and sign up for the South Florida Software Developers Conference 2020, February 29th, where Joe will be giving his talk, Streaming Architectures by Example. (fladotnet.com)
  • Come meet us at the 15th annual Orlando Code Camp & Tech Conference, March 28th. Grab some swag and kick us in the shins. (orlandocodecamp.com)

Query Languages

Declarative vs Imperative

  • The relational model introduced a declarative query language: SQL.
  • Prior models used imperative code.
  • An imperative language performs certain operations in a certain order, i.e. do this, then do that.
  • With a declarative query language, you specify the pattern of data you want, the conditions that must be met, any sorting, grouping, etc.
    • Note that you don't specify how to retrieve the data. That is left to the optimizer to figure out.
  • Declarative languages are attractive because they are shorter and easier to work with.
    • Consider UI frameworks where you declaratively describe the UI without needing to write code that actually draws a button of a specific size in a specific place with a specific label, etc.
  • Additionally,
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