C#  

Improved CRUD operations for GridView with Redshift in ASP.NET Core MVC (Utilizing C# 14 Features)

Enabling CRUD operations in a GridView for report purposes using Amazon Redshift as the database of an ASP.NET MVC Core application requires a well-understood idea of both backend data infrastructure as well as C# 14's latest features. This piece goes into some detail about how this integration might be done scalable and robust way with optimized performance and maintainability.

Setting Up the Environment

Prior to diving in with code, ensure your development environment contains.

  • ASP.NET Core MVC framework (most recent stable version)
  • C# 14 support is enabled in your project
  • AWS SDK for .NET and Redshift Data API Client
  • Entity Framework Core (EF Core) or Dapper for ORM (depending on your choice)

Connecting to Redshift

Redshift natively does not support direct connections using the usual EF Core due to its PostgreSQL heritage and some limitations. The secure, serverless way of accessing the Redshift Data API is what is recommended. The following NuGet package must be installed.

Install-Package AWSSDK.RedshiftDataAPIService

Establish a connection using your AWS credentials and set up the RedshiftDataClient.

var client = new AmazonRedshiftDataAPIServiceClient(
    "your-access-key", 
    "your-secret-key", 
    RegionEndpoint.USEast1
);

CRUD Operations Implementation
 

Create

Let's insert records by invoking SQL commands through the Data API.

var sqlStatement = "INSERT INTO reports (title, content, created_at) VALUES (:title, :content, :created_at)";

var parameters = new List<SqlParameter>
{
    new SqlParameter("title", report.Title),
    new SqlParameter("content", report.Content),
    new SqlParameter("created_at", DateTime.UtcNow)
};
await client.ExecuteStatementAsync(new ExecuteStatementRequest
{
    Sql = sqlStatement,
    Parameters = parameters,
    ClusterIdentifier = "your-cluster-id",
    Database = "your-database",
    DbUser = "your-db-user"
});

Read

Let's fetch data for displaying in the GridView.

var response = await client.ExecuteStatementAsync(new ExecuteStatementRequest
{
    Sql = "SELECT * FROM reports ORDER BY created_at DESC",
    ClusterIdentifier = "your-cluster-id",
    Database = "your-database",
    DbUser = "your-db-user"
});

// Map the response to your model

Update

Let's update existing records.

var sqlStatement = "UPDATE reports SET title = :title, content = :content WHERE id = :id";
var parameters = new List<SqlParameter>
{
    new SqlParameter("id", report.Id),
    new SqlParameter("title", report.Title),
    new SqlParameter("content", report.Content)
};
await client.ExecuteStatementAsync(new ExecuteStatementRequest
{
    Sql = sqlStatement,
    Parameters = parameters,
    ClusterIdentifier = "your-cluster-id",
    Database = "your-database",
    DbUser = "your-db-user"
});

Delete

Let's remove records as follows.

var sqlStatement = "DELETE FROM reports WHERE id = :id";

var parameters = new List<SqlParameter>
{
    new SqlParameter("id", report.Id)
};
await client.ExecuteStatementAsync(new ExecuteStatementRequest
{
    Sql = sqlStatement,
    Parameters = parameters,
    ClusterIdentifier = "your-cluster-id",
    Database = "your-database",
    DbUser = "your-db-user"
});

Enrichments with C# 14 Features

C# 14 also features collection expressions and pattern matching enhancements that can make data mapping and data manipulation easier. For instance, parameter initialization list using collection expressions and result set processing using pattern matching can make your CRUD operations easier.

Security and Best Practices

  • Call APIs securely using IAM Roles and Policies.
  • Parameterize all SQLs to prevent SQL injection.
  • Use aggressive error handling to catch exceptions nicely within a classically beautiful style.
  • Max out Redshift's performance with sorts and named styles of distributions up to their capacities for doing them.

This trend is supported by a clean, green method of presenting report data in an ASP.NET Core MVC-based GridView with Amazon Redshift and C# 14-driven. Additional features can include asynchronous data loading with SignalR, dynamic filtering, and scheduling of reports.

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