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I have a list: Collection users which has around 100K+ records of users (all user objects fully loaded from the database with fields like Bio, First name, last name etc). This collection is fetched on application start from the database and is kept in memory.
Then I have code like:
User cachedUser = users.FirstOrDefault(x => string.Equals(x.UserName, username,
StringComparison.CurrentCultureIgnoreCase));
Which I use to fetch users from this collection. But somehow I noticed that this operation is incredibly slow. Is there a performance issue while using Linq to query in memory collection of large objects? Should I instead call the DB each time I want to get a user?
657
Most of the times, LINQ will be a bit slower because it introduces overhead. Do not use LINQ if you care much about performance. Use LINQ because you want shorter better readable and maintainable code. So your experience is that LINQ is faster and makes code harder to read and to maintain?
We start the stop watch, run the LINQ SQL without compile and then we stop the watch and record the timings. In the same way we have recorded the performance LINQ query with compilation. So we create the data context object and start the stop watch.
In some cases LINQ is just as fast if not faster than other methods, but in other cases it can be slower. We work on a project that we converted to linq and the data lookup is faster but the merging of data between two tables is much slower.
Sql is faster than Linq. Its simple: if I m executing a sql query directly its a one way process whereas if I m using linq, first its been converted to sql query and then its executed.
I think you might need to re-think your architecture based on the information you have given us. Take advantage of the database and let it do the search work for you. Observe, measure, and make changes accordingly after that. You might realize that you prematurely optimized the whole thing.
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