DynamoDB - Access Patterns and Query Optimization
You want to design a write sharding strategy for a DynamoDB table with very high write traffic on user data. Which approach best balances write load and allows efficient reads?
You want to design a write sharding strategy for a DynamoDB table with very high write traffic on user data. Which approach best balances write load and allows efficient reads?
hard🚀 Application Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Evaluate write sharding options
Adding a random shard ID (0-9) to partition key spreads writes across 10 partitions.Step 2: Consider read strategy
Reads require querying all shards and aggregating results, which is manageable for balanced load.Step 3: Compare other options
Using no sharding risks throttling; shard ID in sort key does not distribute writes; single partition causes hot spots.Final Answer:
Add a random shard ID (0-9) to the partition key and store user data in each shard; aggregate reads by querying all shards -> Option DQuick Check:
Shard ID in partition key + aggregate reads = balanced writes [OK]
Quick Trick: Shard in partition key, aggregate reads from all shards [OK]
Common Mistakes:
MISTAKES- Not sharding partition key causing hot partitions
- Adding shard ID to sort key only
- Ignoring read complexity after sharding
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