Steven Giesel • 9/1/2025

Divide and Conquer the Database

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This technical blog post details a performance optimization for a C#/.NET application retrieving large BLOB data from a SQL Server database. The author explains the problem of superlinear scaling when fetching thousands of rows and presents two solutions: compressing data to keep rows under SQL Server's 8060-byte limit and implementing a 'Divide and Conquer' strategy using a DateChunkingService with a SemaphoreSlim to process date ranges in controlled, concurrent daily chunks.

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#c #SQL Server #Entity Framework
Divide and Conquer the Database

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