Understanding the Concept

Feature Overview

Measurement Conversion is designed to standardize and normalize data for improved search relevancy. It consists of the following main components:

Operations

1. Definition: Operations are the basic building blocks that define how data is tokenized or transformed
2. Types:
   1. Unit of Measurement Operator: Tokenizes data by unit type
   2. RegEx Operator: Tokenizes and transforms data based on predefined Regular Expression

Normalizers

1. Definition: Actions applied to fields to link the defined Operations to specific data fields
2. Types:
   1. Search Context: Normalizes data for search queries without modifying the indexed data
   2. Indexing Context: Normalizes data during indexing by converting data into a standardized format

Field Assignments

1. Definition: Assigns Normalizers to individual fields, enabling specific normalization behaviors during search, faceting, and sorting
2. Types:
   1. Search Normalizer: Applied during query execution
   2. Facet Normalizer: Converts facet values into standardized formats
   3. Sort Normalizer: Prepares data for sorting operations if the field is sortable

The relationship between these components is hierarchical:

Operations > Normalizers > Field Assignments

1. Operations define how data is transformed
2. Normalizers group and apply Operations to fields
3. Field Assignments configure which fields should leverage specific Normalizers during searches, faceting, and sorting

Operation Examples

Unit of Measurement Operation

RegEx Operation