Elasticsearch - Basics and Architecture
Why does Elasticsearch use inverted indexes instead of storing documents as-is for full-text search?
Why does Elasticsearch use inverted indexes instead of storing documents as-is for full-text search?
hard🧠 Conceptual Q10 of 15
Step-by-Step Solution
Solution:
Step 1: Understand inverted index purpose
Inverted indexes create a map from terms to documents, making it quick to find documents containing specific words.Step 2: Compare with storing documents as-is
Storing documents as-is requires scanning all documents, which is slow for search.Final Answer:
Because inverted indexes map terms to documents, enabling fast search -> Option AQuick Check:
Inverted index purpose = fast term-to-document lookup [OK]
Quick Trick: Inverted indexes speed up search by mapping terms to documents [OK]
Common Mistakes:
MISTAKES- Thinking storing documents as-is is faster
- Confusing inverted indexes with image compression
- Believing inverted indexes store binary data
Master "Basics and Architecture" in Elasticsearch
Want More Practice?
15+ quiz questions · All difficulty levels · Free
Free Signup - Practice All QuestionsMore Elasticsearch Quizzes