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|  How to Integrate Microsoft Azure Cosmos DB API in .NET Applications

How to Integrate Microsoft Azure Cosmos DB API in .NET Applications

October 31, 2024

Learn to seamlessly integrate Microsoft Azure Cosmos DB API in .NET applications with our step-by-step guide for beginners and experienced developers alike.

How to Integrate Microsoft Azure Cosmos DB API in .NET Applications

 

Integrate Azure Cosmos DB SDK for .NET

 

  • Install the required NuGet package for Cosmos DB. Use the following command in your terminal or package manager console to install the package:

    ```shell
    Install-Package Microsoft.Azure.Cosmos
    ```

  •  

  • Ensure your project is set up to use .NET Core or .NET Framework, as the SDK supports both environments.

 

Create the Cosmos Client

 

  • Create an instance of the `CosmosClient` class by providing the endpoint URI and primary key you get from the Azure Portal. This client instance is used to interact with Cosmos DB.

    ```csharp
    using Microsoft.Azure.Cosmos;

    string endpointUri = "";
    string primaryKey = "";

    CosmosClient cosmosClient = new CosmosClient(endpointUri, primaryKey);
    ```

  •  

  • Configure the client for better performance by adjusting parameters such as connection mode and request timeout if necessary.

 

Create a Database and Container

 

  • Using the `CosmosClient`, create or get a reference to a database. You can specify options such as throughput if you want a dedicated throughput setting for that database.

    ```csharp
    Database database = await cosmosClient.CreateDatabaseIfNotExistsAsync("SampleDatabase");
    ```

  •  

  • Within the database, create a container or get an existing one. This is where your items (documents) will reside. Specify a partition key to optimize performance.

    ```csharp
    Container container = await database.CreateContainerIfNotExistsAsync("SampleContainer", "/partitionKeyPath");
    ```

 

Perform CRUD Operations

 

  • Insert items into the container by creating C# class objects that represent your data and using the `CreateItemAsync` method.

    ```csharp
    public class SampleItem
    {
    public string Id { get; set; }
    public string Name { get; set; }
    public string PartitionKeyPath { get; set; }
    }

    SampleItem newItem = new SampleItem { Id = "1", Name = "Sample Name", PartitionKeyPath = "SamplePartition" };
    await container.CreateItemAsync(newItem, new PartitionKey(newItem.PartitionKeyPath));
    ```

  •  

  • Read items by querying the container using LINQ or SQL-like syntax. Make sure your queries efficiently use the partition key.

    ```csharp
    var sqlQueryText = "SELECT * FROM c WHERE c.PartitionKeyPath = @PartitionKey";
    QueryDefinition queryDefinition = new QueryDefinition(sqlQueryText).WithParameter("@PartitionKey", "SamplePartition");
    FeedIterator queryResultSetIterator = container.GetItemQueryIterator(queryDefinition);

    List items = new List();

    while (queryResultSetIterator.HasMoreResults)
    {
    FeedResponse currentResultSet = await queryResultSetIterator.ReadNextAsync();
    foreach (SampleItem item in currentResultSet)
    {
    items.Add(item);
    }
    }
    ```

 

Handle Exceptions and Optimize Performance

 

  • Implement exception handling for operations using try-catch blocks to handle specific exceptions like `CosmosException` for error handling and retries.

    ```csharp
    try
    {
    ItemResponse response = await container.ReadItemAsync("1", new PartitionKey("SamplePartition"));
    SampleItem readItem = response.Resource;
    }
    catch (CosmosException ex)
    {
    Console.WriteLine($"Item read failed with status code {ex.StatusCode} and message: {ex.Message}");
    }
    ```

  •  

  • Enable indexing and caching strategies to enhance the query performance. Adjust index policies based on query patterns to optimize storage and performance.

 

Best Practices and Considerations

 

  • Use the latest SDK version to benefit from performance improvements and new features.
  •  

  • Utilize appropriate indexing strategies and partition key choices to improve operation efficiency.
  •  

  • Monitor the application and Cosmos DB usage to adjust throughput and indexing as needed for cost efficiency and performance optimization.

 

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