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Asked: 2026-06-12T10:23:33+00:00

I am planning a web service (.NET asmx) which I need to optimize as

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I am planning a web service (.NET asmx) which I need to optimize as much as possible.
The web service returns 10 random records (each call from a client needs to be random) from the database (Mysql) according to a parameter passed from the client. Each paramter (1-12) holds ~2000 records in the DB.

solutions:

  1. Querying the DB (which will be indexed by the parameter) and just return the result.
  2. Cache the table from the DB to a .net Datatable and select by Linq (~15,000 records).
  3. Cache the DB into 12 .net DataTables, each for possible param, and query the Datatable
    with Linq.

What is the best way to preform this task? I would love to hear other ideas!

Best Regards, Udi

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1 Answer

  1. Editorial Team

    Cache the data into 12 strongly-typed arrays. That removes all processing besides selecting 10 random records from a simple array. It doesn’t get faster than that.

    Don’t use data tables. Why would you? They can only be slower than strongly typed lists/arrays of a custom class.

    How to optimize selecting 10 random items is a different question, though, that surely has been answered already.

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