[Solved] You have a DynamoDB table with partition key 'CustomerId' and sort key 'InvoiceDate'.... How should you approach identifying access patterns and designing the table? | DynamoDB

DynamoDB - Access Patterns and Query Optimization

You have a DynamoDB table with partition key 'CustomerId' and sort key 'InvoiceDate'. Your app needs to query invoices by customer within a date range and also retrieve invoices by their status. How should you approach identifying access patterns and designing the table?

AStore status as the partition key to optimize all queries

BUse only the primary key and filter by status after querying all invoices

CCreate separate tables for each access pattern without indexes

DIdentify both access patterns and consider using Global Secondary Indexes (GSIs) for querying by status

Step-by-Step Solution

Solution:

Step 1: Identify Access Patterns
Queries by customer and date range use primary key; queries by status require a different access pattern.
Step 2: Use GSIs for Additional Access Patterns
Global Secondary Indexes allow efficient querying by non-key attributes like status.
Final Answer:
Identify both access patterns and consider using Global Secondary Indexes (GSIs) for querying by status -> Option D
Quick Check:
Use GSIs to support multiple access patterns [OK]

Quick Trick: Use GSIs to support multiple access patterns [OK]

Common Mistakes:

MISTAKES

Filtering by status after querying all data (inefficient)
Ignoring additional access patterns
Using status as partition key without considering other queries

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More DynamoDB Quizzes

How should you approach identifying access patterns and designing the table?

Step 1: Identify Access Patterns

Step 2: Use GSIs for Additional Access Patterns

Final Answer:

Quick Check:

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