dapper tutorial for beginners for Dummies

dapper tutorial for beginners for Dummies

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This technique accepts our question to be a parameter plus a Func delegate that accepts two parameters of sort Company close Staff. Inside the delegate, we make an effort to extract a business by its Id benefit. If it doesn’t exist, we retail outlet it In the currentCompany variable and include it into the dictionary. Also, we assign all the staff to that current corporation and return it from the Func delegate.

Listed here’s a summary Whatever you can be expecting being returned by Each individual process just in case your question return no rows, one particular row or numerous rows:

QueryMultiple – an extension approach that executes various queries inside the very same command and maps final results

Dealing with the update and delete is really very simple simply because we already have every one of the expected know-how. So, Permit’s soar straight to your code.

Execute – an extension system that we use to execute a command one particular or many moments and return the number of influenced rows

Dapper is created to be rapidly, successful, and simple to operate, rendering it a wonderful option for developers who want to maximize efficiency and productivity.

As it is possible to see, the moment we cease working with our link, we must eliminate it. Once we produce a connection, we can easily use it to contact the QueryAsync approach and pass the question as an argument. Because the QueryAsync() technique returns IEnumerable, we transform it to an inventory as soon as we wish to return a outcome.

I think that this method exists largely for earning simpler to undertake Dapper in legacy codebases wherever rather than handling strongly typed lists you may have to deal with a DataReader, and refactoring to make use of a typed checklist it truly is impossible. If that’s the situation, then is the strategy in your case. As being the identify advise it just returns a IDataReader.

As it is possible to see, our question variable has two Find statements. The first will return just one company, and the second one will return all the employees of that company. After that, we make a relationship after which you can use that relationship to simply call the QueryMultipleAsync system.

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Lightweight: Dapper is a lightweight library with minimum dependencies. It doesn’t impose any sophisticated configuration or setup, making it easy to combine into your jobs.

Subsequent up, you’ll see how to establish a relationship towards the SQL Server employing a link string during the appsettings.json. From there, we’ll create the code that interacts with our database, sending queries by means of Dapper to conduct the CRUD functions.

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Here, we build our query along with a dynamic parameters item (we are not using an nameless item any more). We populate that object with our three parameters and then get in touch with the ExecuteAsync system to execute our insert assertion.

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