Databricks v1.78.0, Nov 7 25

Databricks v1.78.0 published on Friday, Nov 7, 2025 by Pulumi

databricks.FeatureEngineeringFeature

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Explain and create a databricks.FeatureEngineeringFeature resource

Databricks v1.78.0 published on Friday, Nov 7, 2025 by Pulumi

pulumi/pulumi-databricks

Create FeatureEngineeringFeature Resource

Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

Constructor syntax

new FeatureEngineeringFeature(name: string, args: FeatureEngineeringFeatureArgs, opts?: CustomResourceOptions);

@overload
def FeatureEngineeringFeature(resource_name: str,
                              args: FeatureEngineeringFeatureArgs,
                              opts: Optional[ResourceOptions] = None)

@overload
def FeatureEngineeringFeature(resource_name: str,
                              opts: Optional[ResourceOptions] = None,
                              full_name: Optional[str] = None,
                              function: Optional[FeatureEngineeringFeatureFunctionArgs] = None,
                              inputs: Optional[Sequence[str]] = None,
                              source: Optional[FeatureEngineeringFeatureSourceArgs] = None,
                              time_window: Optional[FeatureEngineeringFeatureTimeWindowArgs] = None,
                              description: Optional[str] = None,
                              filter_condition: Optional[str] = None)

func NewFeatureEngineeringFeature(ctx *Context, name string, args FeatureEngineeringFeatureArgs, opts ...ResourceOption) (*FeatureEngineeringFeature, error)

public FeatureEngineeringFeature(string name, FeatureEngineeringFeatureArgs args, CustomResourceOptions? opts = null)

public FeatureEngineeringFeature(String name, FeatureEngineeringFeatureArgs args)
public FeatureEngineeringFeature(String name, FeatureEngineeringFeatureArgs args, CustomResourceOptions options)

type: databricks:FeatureEngineeringFeature
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

name string: The unique name of the resource.
args FeatureEngineeringFeatureArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
args FeatureEngineeringFeatureArgs: The arguments to resource properties.
opts ResourceOptions: Bag of options to control resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args FeatureEngineeringFeatureArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args FeatureEngineeringFeatureArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args FeatureEngineeringFeatureArgs: The arguments to resource properties.
options CustomResourceOptions: Bag of options to control resource's behavior.

Constructor example

The following reference example uses placeholder values for all input properties.

var featureEngineeringFeatureResource = new Databricks.FeatureEngineeringFeature("featureEngineeringFeatureResource", new()
{
    FullName = "string",
    Function = new Databricks.Inputs.FeatureEngineeringFeatureFunctionArgs
    {
        FunctionType = "string",
        ExtraParameters = new[]
        {
            new Databricks.Inputs.FeatureEngineeringFeatureFunctionExtraParameterArgs
            {
                Key = "string",
                Value = "string",
            },
        },
    },
    Inputs = new[]
    {
        "string",
    },
    Source = new Databricks.Inputs.FeatureEngineeringFeatureSourceArgs
    {
        DeltaTableSource = new Databricks.Inputs.FeatureEngineeringFeatureSourceDeltaTableSourceArgs
        {
            EntityColumns = new[]
            {
                "string",
            },
            FullName = "string",
            TimeseriesColumn = "string",
        },
    },
    TimeWindow = new Databricks.Inputs.FeatureEngineeringFeatureTimeWindowArgs
    {
        Continuous = new Databricks.Inputs.FeatureEngineeringFeatureTimeWindowContinuousArgs
        {
            WindowDuration = "string",
            Offset = "string",
        },
        Sliding = new Databricks.Inputs.FeatureEngineeringFeatureTimeWindowSlidingArgs
        {
            SlideDuration = "string",
            WindowDuration = "string",
        },
        Tumbling = new Databricks.Inputs.FeatureEngineeringFeatureTimeWindowTumblingArgs
        {
            WindowDuration = "string",
        },
    },
    Description = "string",
    FilterCondition = "string",
});

example, err := databricks.NewFeatureEngineeringFeature(ctx, "featureEngineeringFeatureResource", &databricks.FeatureEngineeringFeatureArgs{
	FullName: pulumi.String("string"),
	Function: &databricks.FeatureEngineeringFeatureFunctionArgs{
		FunctionType: pulumi.String("string"),
		ExtraParameters: databricks.FeatureEngineeringFeatureFunctionExtraParameterArray{
			&databricks.FeatureEngineeringFeatureFunctionExtraParameterArgs{
				Key:   pulumi.String("string"),
				Value: pulumi.String("string"),
			},
		},
	},
	Inputs: pulumi.StringArray{
		pulumi.String("string"),
	},
	Source: &databricks.FeatureEngineeringFeatureSourceArgs{
		DeltaTableSource: &databricks.FeatureEngineeringFeatureSourceDeltaTableSourceArgs{
			EntityColumns: pulumi.StringArray{
				pulumi.String("string"),
			},
			FullName:         pulumi.String("string"),
			TimeseriesColumn: pulumi.String("string"),
		},
	},
	TimeWindow: &databricks.FeatureEngineeringFeatureTimeWindowArgs{
		Continuous: &databricks.FeatureEngineeringFeatureTimeWindowContinuousArgs{
			WindowDuration: pulumi.String("string"),
			Offset:         pulumi.String("string"),
		},
		Sliding: &databricks.FeatureEngineeringFeatureTimeWindowSlidingArgs{
			SlideDuration:  pulumi.String("string"),
			WindowDuration: pulumi.String("string"),
		},
		Tumbling: &databricks.FeatureEngineeringFeatureTimeWindowTumblingArgs{
			WindowDuration: pulumi.String("string"),
		},
	},
	Description:     pulumi.String("string"),
	FilterCondition: pulumi.String("string"),
})

var featureEngineeringFeatureResource = new FeatureEngineeringFeature("featureEngineeringFeatureResource", FeatureEngineeringFeatureArgs.builder()
    .fullName("string")
    .function(FeatureEngineeringFeatureFunctionArgs.builder()
        .functionType("string")
        .extraParameters(FeatureEngineeringFeatureFunctionExtraParameterArgs.builder()
            .key("string")
            .value("string")
            .build())
        .build())
    .inputs("string")
    .source(FeatureEngineeringFeatureSourceArgs.builder()
        .deltaTableSource(FeatureEngineeringFeatureSourceDeltaTableSourceArgs.builder()
            .entityColumns("string")
            .fullName("string")
            .timeseriesColumn("string")
            .build())
        .build())
    .timeWindow(FeatureEngineeringFeatureTimeWindowArgs.builder()
        .continuous(FeatureEngineeringFeatureTimeWindowContinuousArgs.builder()
            .windowDuration("string")
            .offset("string")
            .build())
        .sliding(FeatureEngineeringFeatureTimeWindowSlidingArgs.builder()
            .slideDuration("string")
            .windowDuration("string")
            .build())
        .tumbling(FeatureEngineeringFeatureTimeWindowTumblingArgs.builder()
            .windowDuration("string")
            .build())
        .build())
    .description("string")
    .filterCondition("string")
    .build());

feature_engineering_feature_resource = databricks.FeatureEngineeringFeature("featureEngineeringFeatureResource",
    full_name="string",
    function={
        "function_type": "string",
        "extra_parameters": [{
            "key": "string",
            "value": "string",
        }],
    },
    inputs=["string"],
    source={
        "delta_table_source": {
            "entity_columns": ["string"],
            "full_name": "string",
            "timeseries_column": "string",
        },
    },
    time_window={
        "continuous": {
            "window_duration": "string",
            "offset": "string",
        },
        "sliding": {
            "slide_duration": "string",
            "window_duration": "string",
        },
        "tumbling": {
            "window_duration": "string",
        },
    },
    description="string",
    filter_condition="string")

const featureEngineeringFeatureResource = new databricks.FeatureEngineeringFeature("featureEngineeringFeatureResource", {
    fullName: "string",
    "function": {
        functionType: "string",
        extraParameters: [{
            key: "string",
            value: "string",
        }],
    },
    inputs: ["string"],
    source: {
        deltaTableSource: {
            entityColumns: ["string"],
            fullName: "string",
            timeseriesColumn: "string",
        },
    },
    timeWindow: {
        continuous: {
            windowDuration: "string",
            offset: "string",
        },
        sliding: {
            slideDuration: "string",
            windowDuration: "string",
        },
        tumbling: {
            windowDuration: "string",
        },
    },
    description: "string",
    filterCondition: "string",
});

type: databricks:FeatureEngineeringFeature
properties:
    description: string
    filterCondition: string
    fullName: string
    function:
        extraParameters:
            - key: string
              value: string
        functionType: string
    inputs:
        - string
    source:
        deltaTableSource:
            entityColumns:
                - string
            fullName: string
            timeseriesColumn: string
    timeWindow:
        continuous:
            offset: string
            windowDuration: string
        sliding:
            slideDuration: string
            windowDuration: string
        tumbling:
            windowDuration: string

FeatureEngineeringFeature Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

The FeatureEngineeringFeature resource accepts the following input properties:

FullName string: The full three-part name (catalog, schema, name) of the feature
Function FeatureEngineeringFeatureFunction: The function by which the feature is computed
Inputs List<string>: The input columns from which the feature is computed
Source FeatureEngineeringFeatureSource: The data source of the feature
TimeWindow FeatureEngineeringFeatureTimeWindow: The time window in which the feature is computed
Description string: The description of the feature
FilterCondition string: The filter condition applied to the source data before aggregation

FullName string: The full three-part name (catalog, schema, name) of the feature
Function FeatureEngineeringFeatureFunctionArgs: The function by which the feature is computed
Inputs []string: The input columns from which the feature is computed
Source FeatureEngineeringFeatureSourceArgs: The data source of the feature
TimeWindow FeatureEngineeringFeatureTimeWindowArgs: The time window in which the feature is computed
Description string: The description of the feature
FilterCondition string: The filter condition applied to the source data before aggregation

fullName String: The full three-part name (catalog, schema, name) of the feature
function FeatureEngineeringFeatureFunction: The function by which the feature is computed
inputs List<String>: The input columns from which the feature is computed
source FeatureEngineeringFeatureSource: The data source of the feature
timeWindow FeatureEngineeringFeatureTimeWindow: The time window in which the feature is computed
description String: The description of the feature
filterCondition String: The filter condition applied to the source data before aggregation

fullName string: The full three-part name (catalog, schema, name) of the feature
function FeatureEngineeringFeatureFunction: The function by which the feature is computed
inputs string[]: The input columns from which the feature is computed
source FeatureEngineeringFeatureSource: The data source of the feature
timeWindow FeatureEngineeringFeatureTimeWindow: The time window in which the feature is computed
description string: The description of the feature
filterCondition string: The filter condition applied to the source data before aggregation

full_name str: The full three-part name (catalog, schema, name) of the feature
function FeatureEngineeringFeatureFunctionArgs: The function by which the feature is computed
inputs Sequence[str]: The input columns from which the feature is computed
source FeatureEngineeringFeatureSourceArgs: The data source of the feature
time_window FeatureEngineeringFeatureTimeWindowArgs: The time window in which the feature is computed
description str: The description of the feature
filter_condition str: The filter condition applied to the source data before aggregation

fullName String: The full three-part name (catalog, schema, name) of the feature
function Property Map: The function by which the feature is computed
inputs List<String>: The input columns from which the feature is computed
source Property Map: The data source of the feature
timeWindow Property Map: The time window in which the feature is computed
description String: The description of the feature
filterCondition String: The filter condition applied to the source data before aggregation

Outputs

All input properties are implicitly available as output properties. Additionally, the FeatureEngineeringFeature resource produces the following output properties:

Id string: The provider-assigned unique ID for this managed resource.

Id string: The provider-assigned unique ID for this managed resource.

id String: The provider-assigned unique ID for this managed resource.

id string: The provider-assigned unique ID for this managed resource.

id str: The provider-assigned unique ID for this managed resource.

id String: The provider-assigned unique ID for this managed resource.

Look up Existing FeatureEngineeringFeature Resource

Get an existing FeatureEngineeringFeature resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

public static get(name: string, id: Input<ID>, state?: FeatureEngineeringFeatureState, opts?: CustomResourceOptions): FeatureEngineeringFeature

@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        description: Optional[str] = None,
        filter_condition: Optional[str] = None,
        full_name: Optional[str] = None,
        function: Optional[FeatureEngineeringFeatureFunctionArgs] = None,
        inputs: Optional[Sequence[str]] = None,
        source: Optional[FeatureEngineeringFeatureSourceArgs] = None,
        time_window: Optional[FeatureEngineeringFeatureTimeWindowArgs] = None) -> FeatureEngineeringFeature

func GetFeatureEngineeringFeature(ctx *Context, name string, id IDInput, state *FeatureEngineeringFeatureState, opts ...ResourceOption) (*FeatureEngineeringFeature, error)

public static FeatureEngineeringFeature Get(string name, Input<string> id, FeatureEngineeringFeatureState? state, CustomResourceOptions? opts = null)

public static FeatureEngineeringFeature get(String name, Output<String> id, FeatureEngineeringFeatureState state, CustomResourceOptions options)

resources:  _:    type: databricks:FeatureEngineeringFeature    get:      id: ${id}

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

resource_name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

The following state arguments are supported:

Description string: The description of the feature
FilterCondition string: The filter condition applied to the source data before aggregation
FullName string: The full three-part name (catalog, schema, name) of the feature
Function FeatureEngineeringFeatureFunction: The function by which the feature is computed
Inputs List<string>: The input columns from which the feature is computed
Source FeatureEngineeringFeatureSource: The data source of the feature
TimeWindow FeatureEngineeringFeatureTimeWindow: The time window in which the feature is computed

Description string: The description of the feature
FilterCondition string: The filter condition applied to the source data before aggregation
FullName string: The full three-part name (catalog, schema, name) of the feature
Function FeatureEngineeringFeatureFunctionArgs: The function by which the feature is computed
Inputs []string: The input columns from which the feature is computed
Source FeatureEngineeringFeatureSourceArgs: The data source of the feature
TimeWindow FeatureEngineeringFeatureTimeWindowArgs: The time window in which the feature is computed

description String: The description of the feature
filterCondition String: The filter condition applied to the source data before aggregation
fullName String: The full three-part name (catalog, schema, name) of the feature
function FeatureEngineeringFeatureFunction: The function by which the feature is computed
inputs List<String>: The input columns from which the feature is computed
source FeatureEngineeringFeatureSource: The data source of the feature
timeWindow FeatureEngineeringFeatureTimeWindow: The time window in which the feature is computed

description string: The description of the feature
filterCondition string: The filter condition applied to the source data before aggregation
fullName string: The full three-part name (catalog, schema, name) of the feature
function FeatureEngineeringFeatureFunction: The function by which the feature is computed
inputs string[]: The input columns from which the feature is computed
source FeatureEngineeringFeatureSource: The data source of the feature
timeWindow FeatureEngineeringFeatureTimeWindow: The time window in which the feature is computed

description str: The description of the feature
filter_condition str: The filter condition applied to the source data before aggregation
full_name str: The full three-part name (catalog, schema, name) of the feature
function FeatureEngineeringFeatureFunctionArgs: The function by which the feature is computed
inputs Sequence[str]: The input columns from which the feature is computed
source FeatureEngineeringFeatureSourceArgs: The data source of the feature
time_window FeatureEngineeringFeatureTimeWindowArgs: The time window in which the feature is computed

description String: The description of the feature
filterCondition String: The filter condition applied to the source data before aggregation
fullName String: The full three-part name (catalog, schema, name) of the feature
function Property Map: The function by which the feature is computed
inputs List<String>: The input columns from which the feature is computed
source Property Map: The data source of the feature
timeWindow Property Map: The time window in which the feature is computed

Supporting Types

FeatureEngineeringFeatureFunction, FeatureEngineeringFeatureFunctionArgs

FunctionType string: The type of the function. Possible values are: APPROX_COUNT_DISTINCT, APPROX_PERCENTILE, AVG, COUNT, FIRST, LAST, MAX, MIN, STDDEV_POP, STDDEV_SAMP, SUM, VAR_POP, VAR_SAMP
ExtraParameters List<FeatureEngineeringFeatureFunctionExtraParameter>: Extra parameters for parameterized functions

FunctionType string: The type of the function. Possible values are: APPROX_COUNT_DISTINCT, APPROX_PERCENTILE, AVG, COUNT, FIRST, LAST, MAX, MIN, STDDEV_POP, STDDEV_SAMP, SUM, VAR_POP, VAR_SAMP
ExtraParameters []FeatureEngineeringFeatureFunctionExtraParameter: Extra parameters for parameterized functions

functionType String: The type of the function. Possible values are: APPROX_COUNT_DISTINCT, APPROX_PERCENTILE, AVG, COUNT, FIRST, LAST, MAX, MIN, STDDEV_POP, STDDEV_SAMP, SUM, VAR_POP, VAR_SAMP
extraParameters List<FeatureEngineeringFeatureFunctionExtraParameter>: Extra parameters for parameterized functions

functionType string: The type of the function. Possible values are: APPROX_COUNT_DISTINCT, APPROX_PERCENTILE, AVG, COUNT, FIRST, LAST, MAX, MIN, STDDEV_POP, STDDEV_SAMP, SUM, VAR_POP, VAR_SAMP
extraParameters FeatureEngineeringFeatureFunctionExtraParameter[]: Extra parameters for parameterized functions

function_type str: The type of the function. Possible values are: APPROX_COUNT_DISTINCT, APPROX_PERCENTILE, AVG, COUNT, FIRST, LAST, MAX, MIN, STDDEV_POP, STDDEV_SAMP, SUM, VAR_POP, VAR_SAMP
extra_parameters Sequence[FeatureEngineeringFeatureFunctionExtraParameter]: Extra parameters for parameterized functions

functionType String: The type of the function. Possible values are: APPROX_COUNT_DISTINCT, APPROX_PERCENTILE, AVG, COUNT, FIRST, LAST, MAX, MIN, STDDEV_POP, STDDEV_SAMP, SUM, VAR_POP, VAR_SAMP
extraParameters List<Property Map>: Extra parameters for parameterized functions

FeatureEngineeringFeatureFunctionExtraParameter, FeatureEngineeringFeatureFunctionExtraParameterArgs

Key string: The name of the parameter
Value string: The value of the parameter

Key string: The name of the parameter
Value string: The value of the parameter

key String: The name of the parameter
value String: The value of the parameter

key string: The name of the parameter
value string: The value of the parameter

key str: The name of the parameter
value str: The value of the parameter

key String: The name of the parameter
value String: The value of the parameter

FeatureEngineeringFeatureSource, FeatureEngineeringFeatureSourceArgs

DeltaTableSource FeatureEngineeringFeatureSourceDeltaTableSource

DeltaTableSource FeatureEngineeringFeatureSourceDeltaTableSource

deltaTableSource FeatureEngineeringFeatureSourceDeltaTableSource

deltaTableSource FeatureEngineeringFeatureSourceDeltaTableSource

delta_table_source FeatureEngineeringFeatureSourceDeltaTableSource

deltaTableSource Property Map

FeatureEngineeringFeatureSourceDeltaTableSource, FeatureEngineeringFeatureSourceDeltaTableSourceArgs

EntityColumns List<string>: The entity columns of the Delta table
FullName string: The full three-part name (catalog, schema, name) of the feature
TimeseriesColumn string: The timeseries column of the Delta table

EntityColumns []string: The entity columns of the Delta table
FullName string: The full three-part name (catalog, schema, name) of the feature
TimeseriesColumn string: The timeseries column of the Delta table

entityColumns List<String>: The entity columns of the Delta table
fullName String: The full three-part name (catalog, schema, name) of the feature
timeseriesColumn String: The timeseries column of the Delta table

entityColumns string[]: The entity columns of the Delta table
fullName string: The full three-part name (catalog, schema, name) of the feature
timeseriesColumn string: The timeseries column of the Delta table

entity_columns Sequence[str]: The entity columns of the Delta table
full_name str: The full three-part name (catalog, schema, name) of the feature
timeseries_column str: The timeseries column of the Delta table

entityColumns List<String>: The entity columns of the Delta table
fullName String: The full three-part name (catalog, schema, name) of the feature
timeseriesColumn String: The timeseries column of the Delta table

FeatureEngineeringFeatureTimeWindow, FeatureEngineeringFeatureTimeWindowArgs

Continuous FeatureEngineeringFeatureTimeWindowContinuous
Sliding FeatureEngineeringFeatureTimeWindowSliding
Tumbling FeatureEngineeringFeatureTimeWindowTumbling

Continuous FeatureEngineeringFeatureTimeWindowContinuous
Sliding FeatureEngineeringFeatureTimeWindowSliding
Tumbling FeatureEngineeringFeatureTimeWindowTumbling

continuous FeatureEngineeringFeatureTimeWindowContinuous
sliding FeatureEngineeringFeatureTimeWindowSliding
tumbling FeatureEngineeringFeatureTimeWindowTumbling

continuous FeatureEngineeringFeatureTimeWindowContinuous
sliding FeatureEngineeringFeatureTimeWindowSliding
tumbling FeatureEngineeringFeatureTimeWindowTumbling

continuous FeatureEngineeringFeatureTimeWindowContinuous
sliding FeatureEngineeringFeatureTimeWindowSliding
tumbling FeatureEngineeringFeatureTimeWindowTumbling

continuous Property Map
sliding Property Map
tumbling Property Map

FeatureEngineeringFeatureTimeWindowContinuous, FeatureEngineeringFeatureTimeWindowContinuousArgs

WindowDuration string
Offset string: The offset of the continuous window (must be non-positive)

WindowDuration string
Offset string: The offset of the continuous window (must be non-positive)

windowDuration String
offset String: The offset of the continuous window (must be non-positive)

windowDuration string
offset string: The offset of the continuous window (must be non-positive)

window_duration str
offset str: The offset of the continuous window (must be non-positive)

windowDuration String
offset String: The offset of the continuous window (must be non-positive)

FeatureEngineeringFeatureTimeWindowSliding, FeatureEngineeringFeatureTimeWindowSlidingArgs

SlideDuration string: The slide duration (interval by which windows advance, must be positive and less than duration)
WindowDuration string

SlideDuration string: The slide duration (interval by which windows advance, must be positive and less than duration)
WindowDuration string

slideDuration String: The slide duration (interval by which windows advance, must be positive and less than duration)
windowDuration String

slideDuration string: The slide duration (interval by which windows advance, must be positive and less than duration)
windowDuration string

slide_duration str: The slide duration (interval by which windows advance, must be positive and less than duration)
window_duration str

slideDuration String: The slide duration (interval by which windows advance, must be positive and less than duration)
windowDuration String

FeatureEngineeringFeatureTimeWindowTumbling, FeatureEngineeringFeatureTimeWindowTumblingArgs

WindowDuration string

WindowDuration string

windowDuration String

windowDuration string

window_duration str

windowDuration String

Import

As of Pulumi v1.5, resources can be imported through configuration.

hcl

import {

id = “full_name”

to = databricks_feature_engineering_feature.this

}

If you are using an older version of Pulumi, import the resource using the pulumi import command as follows:

$ pulumi import databricks:index/featureEngineeringFeature:FeatureEngineeringFeature this "full_name"

To learn more about importing existing cloud resources, see Importing resources.

Package Details

Repository: databricks pulumi/pulumi-databricks
License: Apache-2.0
Notes: This Pulumi package is based on the databricks Terraform Provider.

Databricks v1.78.0 published on Friday, Nov 7, 2025 by Pulumi

pulumi/pulumi-databricks

databricks.FeatureEngineeringFeature

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Create FeatureEngineeringFeature Resource

Constructor syntax

Parameters

Constructor example

FeatureEngineeringFeature Resource Properties

Inputs

Outputs

Look up Existing FeatureEngineeringFeature Resource

Supporting Types

FeatureEngineeringFeatureFunction, FeatureEngineeringFeatureFunctionArgs

FeatureEngineeringFeatureFunctionExtraParameter, FeatureEngineeringFeatureFunctionExtraParameterArgs

FeatureEngineeringFeatureSource, FeatureEngineeringFeatureSourceArgs

FeatureEngineeringFeatureSourceDeltaTableSource, FeatureEngineeringFeatureSourceDeltaTableSourceArgs

FeatureEngineeringFeatureTimeWindow, FeatureEngineeringFeatureTimeWindowArgs

FeatureEngineeringFeatureTimeWindowContinuous, FeatureEngineeringFeatureTimeWindowContinuousArgs

FeatureEngineeringFeatureTimeWindowSliding, FeatureEngineeringFeatureTimeWindowSlidingArgs

FeatureEngineeringFeatureTimeWindowTumbling, FeatureEngineeringFeatureTimeWindowTumblingArgs

Import

Package Details

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