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Home/ Questions/Q 651009
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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T22:06:57+00:00 2026-05-13T22:06:57+00:00

I have several medium-sized data sets in-memory that I need to be able to

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I have several medium-sized data sets in-memory that I need to be able to filter and find information from quickly. The data sets are small enough that I don’t want to take the performance hit of going to a database every time I need an entry but large enough that I really need to index the data somehow.

Currently, I’m using POCO objects with one or more dictionaries for indexing. This works excellent when I need to find something by a specific key, but sometimes that isn’t the case. As an example, I often need to find an entry within a specific date-time-range. And sometimes I need the entry with the lowest price. Most often, queries look at a few simple keys and one or two other fields at the same time.

Are there any tools, products, libraries (targeting the .NET-framework) that can help me with this? Or do I need to pick up that big dusty old Algorithms book and start looking at search-trees?

An example:

Trip

  • DepartureCode
  • DestinationCode
  • HotelCode
  • RoomCode
  • Date
  • Price

I need the query to be something like “get me the least expensive Trip between 2010-03-09 and 2010-03-12 where DepartureCode=LAX DestinationCode=NYC”

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  1. Editorial Team
    Editorial Team
    2026-05-13T22:06:57+00:00Added an answer on May 13, 2026 at 10:06 pm

    “Lowest price” and “specific date/time range” can both be handled using just a sorted collection and binary search. SortedList / SortedDictionary (or SortedSet if you’re using .NET 4.0) probably do everything you need here, with only a fairly small amount of work.

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