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How does treating documents as the unit of data help when scaling Elasticsearch across many servers?

hard🚀 Application Q9 of 15
Elasticsearch - Document Operations
How does treating documents as the unit of data help when scaling Elasticsearch across many servers?
ADocuments require all data to be stored on a single server
BDocuments force all queries to scan the entire index
CDocuments prevent parallel searching by design
DDocuments can be distributed and searched independently across shards
Step-by-Step Solution
Solution:
  1. Step 1: Understand Elasticsearch scaling

    Documents are distributed across shards, allowing parallel search and scaling.
  2. Step 2: Analyze other options

    Documents do not require single server storage, do not prevent parallel search, and do not force full scans.
  3. Final Answer:

    Documents can be distributed and searched independently across shards -> Option D
  4. Quick Check:

    Documents enable distributed search = B [OK]
Quick Trick: Documents distribute across shards for scaling [OK]
Common Mistakes:
MISTAKES
  • Thinking documents must be on one server
  • Believing documents block parallel search
  • Assuming queries always scan entire index

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