An Elasticsearch mapping defines a field as float. You index a very large decimal number but notice precision loss. What should you do?

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Elasticsearch - Mappings and Data Types

An Elasticsearch mapping defines a field as float. You index a very large decimal number but notice precision loss. What should you do?

AKeep using float and round the number

BUse the byte type instead

CChange the field type to integer

DChange the field type to double

Step-by-Step Solution

Solution:

Step 1: Understand float precision limits
Float is a 32-bit floating point type with limited precision, which can cause precision loss for large decimals.
Step 2: Choose a type with higher precision
Double is a 64-bit floating point type that provides higher precision and reduces precision loss.
Final Answer:
Change the field type to double -> Option D
Quick Check:
Precision loss fix = use double [OK]

Quick Trick: Use double for better decimal precision than float [OK]

Common Mistakes:

MISTAKES

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