Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/hootanht/dataupdatemethods


https://github.com/hootanht/dataupdatemethods

Last synced: 24 days ago
JSON representation

Awesome Lists containing this project

README 

        
# Comprehensive Explanation of DataUpdateMethods Code



## Introduction



The provided C# code is a sophisticated benchmarking program designed to evaluate various methods for efficiently updating data in a database using Entity Framework Core (EF Core). The benchmarks are facilitated by the BenchmarkDotNet library, which streamlines the process of performance measurement and comparison. The primary focus of the code is the update of the `LogonName` property within entities in the `People` table of the `WideWorldImporters` database.



## Libraries Utilized



### BenchmarkDotNet

BenchmarkDotNet is a robust .NET library specifically tailored for benchmarking. It simplifies the intricacies of performance measurement and facilitates detailed comparisons between different implementations.



### Entity Framework Core (EF Core)

EF Core is an object-relational mapper (ORM) that empowers .NET developers to interact with databases using .NET objects. It is a lightweight, extensible, and cross-platform version of the Entity Framework.



### EFCore.BulkExtensions

EFCore.BulkExtensions is an extension library for EF Core, augmenting its capabilities with support for bulk operations like insert, update, and delete.



## Main Program (`Program` Class)



The `Program` class serves as the entry point for the application, orchestrating the configuration and execution of benchmarks using BenchmarkDotNet.



### `Main` Method

- The `Main` method initializes the benchmarking process for the `UpDateData` class through `BenchmarkRunner.Run()`.

- Awaiting user input through `Console.ReadKey()` ensures that the console window does not close immediately after the benchmarks complete, providing an opportunity to review results.



## Benchmark Class (`UpDateData` Class)



The `UpDateData` class contains multiple benchmark methods, each exemplifying a distinct approach to updating data within the EF Core context.



### `EfCoreUpdateRangeAsync` Method

- This method illustrates data updating using the `UpdateRange` method in EF Core.

- It retrieves all `People` entities asynchronously, updates the `LogonName` property for each entity, and then efficiently updates the entire range within the database.



### `EfCoreExecuteUpdateAsync` Method

- Employing the `ExecuteUpdateAsync` extension method, this benchmark achieves a concise and performant bulk update.

- The `LogonName` property for all `People` entities is directly updated within the EF Core context.



### `EfCoreBatchUpdateAsync` Method

- Demonstrating batch updating, this method utilizes the `BatchUpdateAsync` method from EFCore.BulkExtensions.

- It updates the `LogonName` property for all `People` entities in a single, efficient batch operation.



### `EfCoreBatchUpdate` Method

- Similar to `EfCoreBatchUpdateAsync`, this method showcases synchronous batch updating using the `BatchUpdate` method.



### `EfCoreBulkUpdateAsync` Method

- This benchmark leverages the `BulkUpdateAsync` method from EFCore.BulkExtensions for an asynchronous bulk update.

- It fetches all `People` entities, updates the `LogonName` property for each entity, and then performs a bulk update operation asynchronously.



## Running the Benchmarks



To run the benchmarks, follow these steps:



1. Ensure you have the .NET SDK installed on your machine.

2. Clone the repository to your local machine.

3. Navigate to the project directory.

4. Restore the project dependencies by running `dotnet restore`.

5. Build the project by running `dotnet build`.

6. Run the benchmarks by executing `dotnet run -c Release`.



## Interpreting the Benchmark Results



After running the benchmarks, BenchmarkDotNet will generate a detailed report. The report includes various metrics such as:



- **Mean Time**: The average time taken for the benchmarked method to execute.

- **Error**: The margin of error for the mean time.

- **StdDev**: The standard deviation of the benchmark results.

- **Median**: The middle value of the benchmark results.

- **Min**: The minimum time taken for the benchmarked method to execute.

- **Max**: The maximum time taken for the benchmarked method to execute.

- **Gen 0/1/2**: The number of garbage collections that occurred during the benchmark.



These metrics provide insights into the performance characteristics of each method, helping you to identify the most efficient approach for your specific use case.



## Conclusion



In conclusion, this code provides an extensive set of benchmarks for diverse approaches to data updating within a database using EF Core. The benchmarks are invaluable for selecting the most efficient method based on specific use cases and requirements. Furthermore, the code underscores the advantages of employing specialized libraries like EFCore.BulkExtensions for optimized bulk operations, emphasizing the nuanced considerations involved in choosing the appropriate strategy for data updates in EF Core applications.



## Continuous Integration (CI) Setup



This project uses GitHub Actions for Continuous Integration (CI). The CI workflow is defined in the `.github/workflows/ci.yml` file.



### CI Workflow Steps



1. **Trigger**: The workflow is triggered on push events to the default branch.

2. **Setup .NET**: The workflow sets up the .NET environment.

3. **Restore Dependencies**: The workflow restores the project dependencies.

4. **Build**: The workflow builds the project.

5. **Run Tests**: The workflow runs the tests to ensure the code is working as expected.



## .NET Version



This project now uses .NET 8.0.