Learn how Layers accurately indexes scalar data like dates, numbers, and booleans to enhance your e-commerce filtering and sorting capabilities.
Scalar data types, such as numbers, and booleans, are the cornerstone of filtering and sorting in search engines. They are particularly vital in e-commerce scenarios where users might want to sort items by price, find products within a date range, or filter by availability.
Layers simplifies data management by automatically recognizing and indexing scalar values in their appropriate formats, ensuring that numerical and date-based sorting reflects users’ expectations.
When using Named Tags you can include an additional colon (:
) delimited part after the key containing a type of number
or boolean
. Example tag value: monthly_sales:number:300.25
Learn how Layers accurately indexes scalar data like dates, numbers, and booleans to enhance your e-commerce filtering and sorting capabilities.
Scalar data types, such as numbers, and booleans, are the cornerstone of filtering and sorting in search engines. They are particularly vital in e-commerce scenarios where users might want to sort items by price, find products within a date range, or filter by availability.
Layers simplifies data management by automatically recognizing and indexing scalar values in their appropriate formats, ensuring that numerical and date-based sorting reflects users’ expectations.
When using Named Tags you can include an additional colon (:
) delimited part after the key containing a type of number
or boolean
. Example tag value: monthly_sales:number:300.25