Data Types

Tecton supports the following data types for Feature Value and Request Data:

Int64

• Int64 value is represented as JSON string in HTTP response. This is because JSON does not specify a precision for numerical values, and most JSON libraries treat all numerical values as double-precision floating point numbers.
• Int32 will be automatically cast to Int64 in online serving.

Float32

Float64

String

Bool

• Bool acceptable values: "True" or "False"

Array(elementType)

• Represents values comprising a sequence of homogeneous elements with the type elementType. The Array can contain the following element types:
  • Int64, Float32, Float64, String, Map, Struct, Array
• Limitations:
  • Array is not available in Tecton with Snowflake. The only exception is that Tecton Managed Aggregation could aggregate raw data into an array such as first-N and last-N aggregations.
  • Array doesn’t support Map, Struct and Array as element type in Serverless Feature Retrieval with Athena.

Struct(fields)

• Represents values with a structure that is defined by a list of Field.
• Field(name,dataType) represents a single field in a Struct. The name of a field is defined by name. The data type of a field is defined by dataType, and it supports the following types:
  • Int64, Float32, Float64, String, Bool, Map, Struct, Array
• It is stored efficiently in the online store by being encoded to an Array.
• Limitations
  • Struct is not available in Tecton with Snowflake.
  • Struct is not available in ODFV RequestSource with pandas mode.
  • Struct is not available in Serverless Feature Retrieval with Athena

Map(keyType,valueType)

• Represents values comprising a set of key-value pair where key and value type are predefined by keyType and valueType.
• keyType only supports String
• valueType supports following types
  • Int64, Float32, Float64, String, Bool, Map, Struct, Array
• Limitations
  • Map is not available in Tecton with Snowflake.
  • Map is not available in Serverless Feature Retrieval with Athena

Timestamp

• Timestamp can be used to annotate the "timestamp" field when specifying the schema of a Data Source or Feature View; however, it can not be used as an actual feature value or used in an Aggregation.

info

Tecton supports nulls for request data and feature values. Check Handling Nulls for more details.