https://github.com/zhuliquan/scaled_float

Scaled float field type in ElasticSearch, a floating point number that is backed by a long, scaled by a fixed double scaling factor.
https://github.com/zhuliquan/scaled_float

elasticsearch es golang scaledfloat

Last synced: about 2 months ago
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Scaled float field type in ElasticSearch, a floating point number that is backed by a long, scaled by a fixed double scaling factor.

• Host: GitHub
• URL: https://github.com/zhuliquan/scaled_float
• Owner: zhuliquan
• License: mit
• Created: 2022-09-18T14:48:19.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2022-09-18T15:16:33.000Z (over 2 years ago)
• Last Synced: 2024-11-16T20:37:21.883Z (about 2 months ago)
• Topics: elasticsearch, es, golang, scaledfloat
• Language: Go
• Homepage:
• Size: 4.88 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Description

Scaled float field type in ElasticSearch, a floating point number that is backed by a long, scaled by a fixed double scaling factor.

# Detail

For floating-point types, it is often more efficient to store floating-point data into an integer using a scaling factor, which is what the scaled_float type does under the hood. For instance, a price field could be stored in a scaled_float with a scaling_factor of 100. All APIs would work as if the field was stored as a double, but under the hood Elasticsearch would be working with the number of cents, price*100, which is an integer. This is mostly helpful to save disk space since integers are way easier to compress than floating points. scaled_float is also fine to use in order to trade accuracy for disk space. For instance imagine that you are tracking cpu utilization as a number between 0 and 1. It usually does not matter much whether cpu utilization is 12.7% or 13%, so you could use a scaled_float with a scaling_factor of 100 in order to round cpu utilization to the closest percent in order to save space.