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I spent the better part of my development time this weekend porting various code from the .NET “full” framework to .NET Core. This included porting EntityFramework 6.1.3 code to EntityFramework Core 1.1.1. It was about as big of a pain as you would expect.

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A while back, I wrote an application that processes sales information. These sales actually represent a hierarchy of data because there can be refunds, charge backs, charge backs of charge backs, refunds of refunds, adjustments, and so on and so forth. The way the data processing is handled, though, treating the entire hierarchy as a single transaction is important. This requires a bit of recursion.

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In one of my previous posts, I detailed using Table Value parameters. That method works great for my uses. However, I ran into one gotcha worth pointing out.

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One deficiency with Entity Framework is the ability to load data from a stored procedure or a direct query when the column names don’t match your model property names exactly. In one of my previous posts, I detailed how the EF API can be used to retrieve column mappings. These column mappings can be used in conjunction with a SqlDataReader to map a query result, properly, to your EF model.

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In a previous post, I demoed how to use Table Valued Parameters (TVP’s) with EF. This works great, but, if you’ll notice, it only suppports one-column TVP’s with a simple scalar list of values. I expanded this a bit.

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There are a few limitations of Entity Framework 6.x that require various work-arounds. One of those limitations is not being able to take direct advantage of entity mappings that are defined. However, it is possible to utilize Entity Framework’s API’s to retrieve and consume this information.

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If you’ve read my various posts on dealing with datetimes and timezones lately, I discovered a handy little mechanism for dealing with timezones in Microsoft SQL.

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Continuing our examination of building LINQ expressions, let’s dive further into generic methods that can build expressions for any enumerable list of objects. In part one, I showed how to build a simple string expression, but we can make this much more robust.

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Using LINQ’s FluentAPI, left/outer joins are difficult. With a little work, it’s possible to perform left outer joins, though.

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