Abstract
Most applications that use sophisticated database management systems, such as Microsoft’s SQL Server, are used by more than one person at a time. The concurrency concerns surrounding shared access to simple data files are often the motivating reason why developers turn to relational database systems to support their applications. Many, but not all, of the concurrency concerns evaporate when an application relies on a relational database for its data store. The concerns that remain usually involve detecting and controlling when an object state is different in memory than in the database. The recipes in this chapter provide an introduction to solving some of the problems typically faced by developers when it comes to detecting concurrency violations and controlling which copy of the object is ultimately persisted in the database.
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© 2013 Brian Driscoll
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Driscoll, B., Gupta, N., Vettor, R., Hirani, Z., Tenny, L. (2013). Concurrency. In: Entity Framework 6 Recipes. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4302-5789-9_14
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DOI: https://doi.org/10.1007/978-1-4302-5789-9_14
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4302-5788-2
Online ISBN: 978-1-4302-5789-9
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