DynamoDB - Access Patterns and Query Optimization
Given a DynamoDB table with partition key 'CustomerId' and items having CustomerId values: 'C1', 'C1', 'C2', 'C3', 'C3', 'C3', which partition will likely have the highest load?
Given a DynamoDB table with partition key 'CustomerId' and items having CustomerId values: 'C1', 'C1', 'C2', 'C3', 'C3', 'C3', which partition will likely have the highest load?
medium📝 query result Q4 of 15
Step-by-Step Solution
Solution:
Step 1: Count items per partition key value
'C3' has 3 items, 'C1' has 2, 'C2' has 1.Step 2: Determine partition load based on item count
More items under a partition key cause higher load on that partition.Final Answer:
Partition with CustomerId 'C3' -> Option DQuick Check:
More items = higher partition load [OK]
Quick Trick: Partition load depends on number of items per key [OK]
Common Mistakes:
MISTAKES- Assuming equal load regardless of item count
- Confusing partition key with sort key
- Ignoring repeated keys impact
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