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 toInt64
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
. TheArray
can contain the following element types:Int64
,Float32
,Float64
,String
,Timestamp
,Map
,Struct
,Array
- Usage Notes:
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
is not available in Rift withsnowflake_sql
mode.
Struct(fields)
​
- Represents values with a structure that is defined by a list of
Field
. Field(name,dataType)
represents a single field in aStruct
. The name of a field is defined byname
. The data type of a field is defined bydataType
, and it supports the following types:Int64
,Float64
,String
,Bool
,Timestamp
,Map
,Struct
,Array
- It is stored efficiently in the online store by being encoded to an
Array
. - Usage Notes:
Struct
is not available in Tecton with Snowflake.Struct
is not available in RTFV RequestSource with pandas mode.Struct
is not available in Rift withsnowflake_sql
mode.
Map(keyType,valueType)
​
- Represents values comprising a set of key-value pair where key and value type
are predefined by
keyType
andvalueType
. keyType
only supports StringvalueType
supports following typesInt64
,Float64
,String
,Bool
,Timestamp
,Map
,Struct
,Array
- Usage Notes:
Map
is not available in Tecton with Snowflake.Map
is not available in Rift withsnowflake_sql
mode.
Timestamp
​
Timestamp
types should be used to annotate thetimestamp_field
on a Feature View. They are also available as Data Types on Attribute values. If a Feature View's Schema contains exactly oneTimestamp
fielda
, Tecton assumestimestamp_field=a
. If specifying >1Timestamp
, thetimestamp_field
attribute must be set explicitly. Timestamp features are served as isoformat strings in HTTP responses.- Usage Notes:
- Storage Conversion: You can supply feature values in any timezone; Tecton will automatically convert these values to UTC for storage. Tecton assumes UTC for naive objects.
- Feature Serving: When serving feature values or using a Timestamp Feature as an input to a Realtime Feature View, the value will be provided in UTC.
Timestamp
is not available in Tecton with Snowflake.Timestamp
is not available in Rift withsnowflake_sql
mode.
info
Tecton supports nulls for request data and feature values. Check Handling Nulls for more details.