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If a DynamoDB table uses a partition key with a timestamp truncated to the nearest day, what is the likely impact on partition distribution?

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DynamoDB - Access Patterns and Query Optimization
If a DynamoDB table uses a partition key with a timestamp truncated to the nearest day, what is the likely impact on partition distribution?
AData will cluster by day, causing uneven partition load.
BData will be evenly distributed across all partitions.
CEach item will have a unique partition key.
DPartition keys will be random and unpredictable.
Step-by-Step Solution
Solution:
  1. Step 1: Understand timestamp truncation effect

    Truncating timestamp to day groups many items under same partition key per day.
  2. Step 2: Analyze partition distribution

    Grouping causes data clustering and uneven load on partitions for popular days.
  3. Final Answer:

    Data will cluster by day, causing uneven partition load. -> Option A
  4. Quick Check:

    Truncated timestamps cause clustering [OK]
Quick Trick: Avoid coarse keys that group many items [OK]
Common Mistakes:
MISTAKES
  • Assuming truncation creates unique keys
  • Believing distribution is always even
  • Ignoring grouping effect of truncation

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