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Configuring Azure Cosmos DB

1. Introduction

Azure Cosmos DB is a globally distributed, multi-model database service designed to provide high availability, scalability, and low latency. It supports various data models, including key-value, document, graph, and column-family.

2. Key Concepts

  • **Database**: A container for data items that is used to manage data.
  • **Container**: A schema-agnostic container for items (documents, graphs).
  • **Item**: The individual data record stored in a container.
  • **Throughput**: Measured in Request Units (RU/s), it defines how much capacity you have to read and write data.
  • **Consistency Levels**: Defines the trade-off between consistency and availability.

3. Step-by-Step Configuration

3.1 Creating an Azure Cosmos DB Account

  1. Log in to the Azure Portal.
  2. Click on "Create a Resource" and select "Databases".
  3. Select "Azure Cosmos DB".
  4. Choose your API (SQL, MongoDB, Cassandra, etc.).
  5. Fill in the required fields (Subscription, Resource Group, Account Name, etc.).
  6. Click "Review + Create" and then "Create".

3.2 Creating a Container

You can create a container within your Cosmos DB account to store your data items.

  1. Navigate to your Cosmos DB account in the Azure Portal.
  2. Click on "Data Explorer" on the left panel.
  3. Select "New Container".
  4. Provide a database name and container name.
  5. Set the partition key (e.g., /category).
  6. Set the throughput configuration.
  7. Click "OK" to create the container.

3.3 Inserting Data

To insert data into the Cosmos DB container using JavaScript SDK:


const { CosmosClient } = require("@azure/cosmos");

const endpoint = "your_endpoint";
const key = "your_key";
const client = new CosmosClient({ endpoint, key });

async function insertItem() {
    const { container } = await client.database("your_database").container("your_container");
    const newItem = { id: "1", category: "example", value: "Hello, Cosmos DB!" };
    const { resource: createdItem } = await container.items.create(newItem);
    console.log(`Created item with id: ${createdItem.id}`);
}

insertItem();
                

4. Best Practices

  • Choose the right partition key to optimize performance.
  • Monitor your RU/s usage to avoid throttling.
  • Use stored procedures for complex transactions.
  • Implement proper indexing to speed up queries.
  • Regularly back up your data.

5. FAQ

What is the pricing model of Azure Cosmos DB?

Azure Cosmos DB pricing is based on the provisioned throughput (RU/s) and the amount of data stored.

Can I use Azure Cosmos DB for real-time applications?

Yes, Azure Cosmos DB is designed for high availability and low latency, making it suitable for real-time applications.

What are the consistency models available?

Azure Cosmos DB provides five consistency models: Strong, Bounded Staleness, Session, Consistent Prefix, and Eventual.