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DynamoDB Table Creation & Indexing

Amazon DynamoDB is a fully managed NoSQL database service provided by AWS that offers fast and predictable performance with seamless scalability. It is designed to handle large-scale applications that require high availability and low-latency access to data. This knowledge base provides a comprehensive guide to creating DynamoDB tables and indexing strategies to optimize data retrieval and performance.

Understanding DynamoDB

 What is DynamoDB?

DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It automatically scales up and down to adjust for capacity and maintain performance, enabling developers to focus on building applications without managing the underlying infrastructure.

Key Features

  • Managed Service: Fully managed, with automatic scaling, backups, and patch management.
  • High Availability: Built-in redundancy and fault tolerance across multiple Availability Zones.
  • Performance at Scale: Consistent low-latency responses, even under heavy loads.
  • Flexible Data Model: Supports key-value and document data structures, making it versatile for various applications.

Use Cases

DynamoDB is suitable for various use cases, including:

  • Web and Mobile Applications: Backing high-traffic applications with predictable performance.
  • Gaming: Storing user profiles, game states, and leaderboards.
  • IoT: Managing device data and real-time processing of sensor data.
  • Analytics: Serving as a data source for real-time analytics.

Creating a DynamoDB Table

 Prerequisites

Before creating a DynamoDB table, ensure you have:

  • An active AWS account.
  • Basic understanding of NoSQL concepts and DynamoDB's data model.
  • Defined requirements for your table, including primary key design and attributes.

 Creating a Table Using the AWS Management Console

Log in to the AWS Management Console

  1. Sign in with your AWS account credentials.

Navigate to DynamoDB

  1. In the AWS Management Console, search for DynamoDB and select the service.

Create a New Table

  1. Click on Tables in the left sidebar.
  2. Click the Create table button.

Define Table Settings

  1. Table Name: Enter a unique name for your table.
  2. Primary Key: Define the primary key for your table:
    • Partition Key: A single attribute that uniquely identifies each item. Choose a name and data type (String, Number, Binary).
    • Composite Key: If needed, add a sort key to create a composite primary key. This allows for storing multiple items with the same partition key but different sort keys.

 Configure Table Settings

  1. Provisioned or On Demand Capacity:
    • Provisioned Capacity: Specify the read and write capacity units. Ideal for predictable workloads.
    • On Demand Capacity: Automatically scales based on demand. Suitable for variable workloads.
  2. Table Settings:
    • Auto Scaling: Enable auto-scaling if using provisioned capacity.
    • DynamoDB Streams: Enable Streams if you want to capture changes to items in the table.
    • TTL (Time to Live): Configure TTL to automatically delete items after a specified timestamp.

Review and Create

  1. Review the configurations and click Create table.
  2. Wait for the table to be created, which may take a few minutes.

Indexing in DynamoDB

Indexes are critical for optimizing data retrieval in DynamoDB. They allow you to query data efficiently without scanning the entire table.

 Primary Keys and Indexes

DynamoDB requires that every table has a primary key, which can be either a simple primary key or a composite primary key.

  • Simple Primary Key: Consists of a single partition key.
  • Composite Primary Key: Consists of a partition key and a sort key.

 Secondary Indexes

DynamoDB supports two types of secondary indexes:

  • Global Secondary Indexes (GSI): Allows you to query the table using a different partition key and optional sort key.
  • Local Secondary Indexes (LSI): Allows you to query the table using the same partition key as the base table but with a different sort key.

When to Use Secondary Indexes

  • Global Secondary Indexes (GSI):

    • Use when you need to query data using non-primary key attributes.
    • Supports querying on different partition keys and sort keys from the base table.
  • Local Secondary Indexes (LSI):

    • Use when you want to query items with the same partition key but different sort keys.
    • Supports up to five LSIs per table.

 Creating a Global Secondary Index

Define Index Settings

  1. In the AWS Management Console, go to your DynamoDB table.
  2. Select the Indexes tab and click Create index.

Specify Index Information

  1. Index Name: Enter a unique name for your GSI.
  2. Partition Key: Choose an attribute to use as the partition key for the index.
  3. Sort Key (optional): Specify an attribute to use as the sort key for the index.

Configure Index Settings

  1. Projection Type: Choose how to project data from the base table to the index:

    • All: All attributes from the base table are projected.
    • Keys Only: Only the primary key attributes are projected.
    • Include: Specify which attributes to project.
  2. Provisioned Capacity (if applicable): Specify read and write capacity units for the index.

Create the Index

  1. Review the configurations and click Create index.

    Creating a Global Secondary Index

    Define Index Settings

        1. In the AWS Management Console, go to your DynamoDB table.
        2. Select the Indexes tab and click Create index.

    Specify Index Information

        1. Index Name: Enter a unique name for your GSI.
        2. Partition Key: Choose an attribute to use as the partition key for the index.
        3. Sort Key (optional): Specify an attribute to use as the sort key for the index.

    Configure Index Settings

        1. Projection Type: Choose how to project data from the base table to the index:

          • All: All attributes from the base table are projected.
          • Keys Only: Only the primary key attributes are projected.
          • Include: Specify which attributes to project.
        2. Provisioned Capacity (if applicable): Specify read and write capacity units for the index.

    Create the Index

        1. Review the configurations and click Create index.
        2. Wait for the index to be created, which may take several minutes.

     

    Review the configurations and click Create index.
    1. Projection Type: Choose how to project data from the base table to the index:

      • All: All attributes from the base table are projected.
      • Keys Only: Only the primary key attributes are projected.
      • Include: Specify which attributes to project.
    2. Provisioned Capacity (if applicable): Specify read and write capacity units for the index.Wait for the index to be created, which may take several minutes.Wait for the index to be created, which may take several minutes.

      Indexing in DynamoDB

      Indexes are critical for optimizing data retrieval in DynamoDB. They allow you to query data efficiently without scanning the entire table.

       Primary Keys and Indexes

      DynamoDB requires that every table has a primary key, which can be either a simple primary key or a composite primary key.

      • Simple Primary Key: Consists of a single partition key.
      • Composite Primary Key: Consists of a partition key and a sort key.

       Secondary Indexes

      DynamoDB supports two types of secondary indexes:

      • Global Secondary Indexes (GSI): Allows you to query the table using a different partition key and optional sort key.
      • Local Secondary Indexes (LSI): Allows you to query the table using the same partition key as the base table but with a different sort key.

      When to Use Secondary Indexes

      • Global Secondary Indexes (GSI):

        • Use when you need to query data using non-primary key attributes.
        • Supports querying on different partition keys and sort keys from the base table.
      • Local Secondary Indexes (LSI):

        • Use when you want to query items with the same partition key but different sort keys.
        • Supports up to five LSIs per table.

       

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