Databricks v1.83.0 published on Friday, Jan 23, 2026 by Pulumi
Databricks v1.83.0 published on Friday, Jan 23, 2026 by Pulumi
Using getFeatureEngineeringFeature
Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.
function getFeatureEngineeringFeature(args: GetFeatureEngineeringFeatureArgs, opts?: InvokeOptions): Promise<GetFeatureEngineeringFeatureResult>
function getFeatureEngineeringFeatureOutput(args: GetFeatureEngineeringFeatureOutputArgs, opts?: InvokeOptions): Output<GetFeatureEngineeringFeatureResult>def get_feature_engineering_feature(full_name: Optional[str] = None,
opts: Optional[InvokeOptions] = None) -> GetFeatureEngineeringFeatureResult
def get_feature_engineering_feature_output(full_name: Optional[pulumi.Input[str]] = None,
opts: Optional[InvokeOptions] = None) -> Output[GetFeatureEngineeringFeatureResult]func LookupFeatureEngineeringFeature(ctx *Context, args *LookupFeatureEngineeringFeatureArgs, opts ...InvokeOption) (*LookupFeatureEngineeringFeatureResult, error)
func LookupFeatureEngineeringFeatureOutput(ctx *Context, args *LookupFeatureEngineeringFeatureOutputArgs, opts ...InvokeOption) LookupFeatureEngineeringFeatureResultOutput> Note: This function is named LookupFeatureEngineeringFeature in the Go SDK.
public static class GetFeatureEngineeringFeature
{
public static Task<GetFeatureEngineeringFeatureResult> InvokeAsync(GetFeatureEngineeringFeatureArgs args, InvokeOptions? opts = null)
public static Output<GetFeatureEngineeringFeatureResult> Invoke(GetFeatureEngineeringFeatureInvokeArgs args, InvokeOptions? opts = null)
}public static CompletableFuture<GetFeatureEngineeringFeatureResult> getFeatureEngineeringFeature(GetFeatureEngineeringFeatureArgs args, InvokeOptions options)
public static Output<GetFeatureEngineeringFeatureResult> getFeatureEngineeringFeature(GetFeatureEngineeringFeatureArgs args, InvokeOptions options)
fn::invoke:
function: databricks:index/getFeatureEngineeringFeature:getFeatureEngineeringFeature
arguments:
# arguments dictionaryThe following arguments are supported:
- Full
Name string - The full three-part name (catalog, schema, name) of the feature
- Full
Name string - The full three-part name (catalog, schema, name) of the feature
- full
Name String - The full three-part name (catalog, schema, name) of the feature
- full
Name string - The full three-part name (catalog, schema, name) of the feature
- full_
name str - The full three-part name (catalog, schema, name) of the feature
- full
Name String - The full three-part name (catalog, schema, name) of the feature
getFeatureEngineeringFeature Result
The following output properties are available:
- Description string
- (string) - The description of the feature
- Filter
Condition string - (string) - The filter condition applied to the source data before aggregation
- Full
Name string - (string) - The full three-part (catalog, schema, table) name of the Delta table
- Function
Get
Feature Engineering Feature Function - (Function) - The function by which the feature is computed
- Id string
- The provider-assigned unique ID for this managed resource.
- Inputs List<string>
- (list of string) - The input columns from which the feature is computed
- Lineage
Context GetFeature Engineering Feature Lineage Context - Source
Get
Feature Engineering Feature Source - (DataSource) - The data source of the feature
- Time
Window GetFeature Engineering Feature Time Window - (TimeWindow) - The time window in which the feature is computed
- Description string
- (string) - The description of the feature
- Filter
Condition string - (string) - The filter condition applied to the source data before aggregation
- Full
Name string - (string) - The full three-part (catalog, schema, table) name of the Delta table
- Function
Get
Feature Engineering Feature Function - (Function) - The function by which the feature is computed
- Id string
- The provider-assigned unique ID for this managed resource.
- Inputs []string
- (list of string) - The input columns from which the feature is computed
- Lineage
Context GetFeature Engineering Feature Lineage Context - Source
Get
Feature Engineering Feature Source - (DataSource) - The data source of the feature
- Time
Window GetFeature Engineering Feature Time Window - (TimeWindow) - The time window in which the feature is computed
- description String
- (string) - The description of the feature
- filter
Condition String - (string) - The filter condition applied to the source data before aggregation
- full
Name String - (string) - The full three-part (catalog, schema, table) name of the Delta table
- function
Get
Feature Engineering Feature Function - (Function) - The function by which the feature is computed
- id String
- The provider-assigned unique ID for this managed resource.
- inputs List<String>
- (list of string) - The input columns from which the feature is computed
- lineage
Context GetFeature Engineering Feature Lineage Context - source
Get
Feature Engineering Feature Source - (DataSource) - The data source of the feature
- time
Window GetFeature Engineering Feature Time Window - (TimeWindow) - The time window in which the feature is computed
- description string
- (string) - The description of the feature
- filter
Condition string - (string) - The filter condition applied to the source data before aggregation
- full
Name string - (string) - The full three-part (catalog, schema, table) name of the Delta table
- function
Get
Feature Engineering Feature Function - (Function) - The function by which the feature is computed
- id string
- The provider-assigned unique ID for this managed resource.
- inputs string[]
- (list of string) - The input columns from which the feature is computed
- lineage
Context GetFeature Engineering Feature Lineage Context - source
Get
Feature Engineering Feature Source - (DataSource) - The data source of the feature
- time
Window GetFeature Engineering Feature Time Window - (TimeWindow) - The time window in which the feature is computed
- description str
- (string) - The description of the feature
- filter_
condition str - (string) - The filter condition applied to the source data before aggregation
- full_
name str - (string) - The full three-part (catalog, schema, table) name of the Delta table
- function
Get
Feature Engineering Feature Function - (Function) - The function by which the feature is computed
- id str
- The provider-assigned unique ID for this managed resource.
- inputs Sequence[str]
- (list of string) - The input columns from which the feature is computed
- lineage_
context GetFeature Engineering Feature Lineage Context - source
Get
Feature Engineering Feature Source - (DataSource) - The data source of the feature
- time_
window GetFeature Engineering Feature Time Window - (TimeWindow) - The time window in which the feature is computed
- description String
- (string) - The description of the feature
- filter
Condition String - (string) - The filter condition applied to the source data before aggregation
- full
Name String - (string) - The full three-part (catalog, schema, table) name of the Delta table
- function Property Map
- (Function) - The function by which the feature is computed
- id String
- The provider-assigned unique ID for this managed resource.
- inputs List<String>
- (list of string) - The input columns from which the feature is computed
- lineage
Context Property Map - source Property Map
- (DataSource) - The data source of the feature
- time
Window Property Map - (TimeWindow) - The time window in which the feature is computed
Supporting Types
GetFeatureEngineeringFeatureFunction
- Function
Type string - (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 - Extra
Parameters List<GetFeature Engineering Feature Function Extra Parameter> - (list of FunctionExtraParameter) - Extra parameters for parameterized functions
- Function
Type string - (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 - Extra
Parameters []GetFeature Engineering Feature Function Extra Parameter - (list of FunctionExtraParameter) - Extra parameters for parameterized functions
- function
Type String - (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 - extra
Parameters List<GetFeature Engineering Feature Function Extra Parameter> - (list of FunctionExtraParameter) - Extra parameters for parameterized functions
- function
Type string - (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 - extra
Parameters GetFeature Engineering Feature Function Extra Parameter[] - (list of FunctionExtraParameter) - Extra parameters for parameterized functions
- function_
type str - (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 - extra_
parameters Sequence[GetFeature Engineering Feature Function Extra Parameter] - (list of FunctionExtraParameter) - Extra parameters for parameterized functions
- function
Type String - (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 - extra
Parameters List<Property Map> - (list of FunctionExtraParameter) - Extra parameters for parameterized functions
GetFeatureEngineeringFeatureFunctionExtraParameter
GetFeatureEngineeringFeatureLineageContext
- Job
Context GetFeature Engineering Feature Lineage Context Job Context - (JobContext) - Job context information including job ID and run ID
- Notebook
Id int - (integer) - The notebook ID where this API was invoked
- Job
Context GetFeature Engineering Feature Lineage Context Job Context - (JobContext) - Job context information including job ID and run ID
- Notebook
Id int - (integer) - The notebook ID where this API was invoked
- job
Context GetFeature Engineering Feature Lineage Context Job Context - (JobContext) - Job context information including job ID and run ID
- notebook
Id Integer - (integer) - The notebook ID where this API was invoked
- job
Context GetFeature Engineering Feature Lineage Context Job Context - (JobContext) - Job context information including job ID and run ID
- notebook
Id number - (integer) - The notebook ID where this API was invoked
- job_
context GetFeature Engineering Feature Lineage Context Job Context - (JobContext) - Job context information including job ID and run ID
- notebook_
id int - (integer) - The notebook ID where this API was invoked
- job
Context Property Map - (JobContext) - Job context information including job ID and run ID
- notebook
Id Number - (integer) - The notebook ID where this API was invoked
GetFeatureEngineeringFeatureLineageContextJobContext
- job_
id int - (integer) - The job ID where this API invoked
- job_
run_ intid - (integer) - The job run ID where this API was invoked
GetFeatureEngineeringFeatureSource
- Delta
Table GetSource Feature Engineering Feature Source Delta Table Source - (DeltaTableSource)
- Kafka
Source GetFeature Engineering Feature Source Kafka Source - (KafkaSource)
- Delta
Table GetSource Feature Engineering Feature Source Delta Table Source - (DeltaTableSource)
- Kafka
Source GetFeature Engineering Feature Source Kafka Source - (KafkaSource)
- delta
Table GetSource Feature Engineering Feature Source Delta Table Source - (DeltaTableSource)
- kafka
Source GetFeature Engineering Feature Source Kafka Source - (KafkaSource)
- delta
Table GetSource Feature Engineering Feature Source Delta Table Source - (DeltaTableSource)
- kafka
Source GetFeature Engineering Feature Source Kafka Source - (KafkaSource)
- delta_
table_ Getsource Feature Engineering Feature Source Delta Table Source - (DeltaTableSource)
- kafka_
source GetFeature Engineering Feature Source Kafka Source - (KafkaSource)
- delta
Table Property MapSource - (DeltaTableSource)
- kafka
Source Property Map - (KafkaSource)
GetFeatureEngineeringFeatureSourceDeltaTableSource
- Entity
Columns List<string> - (list of string) - The entity columns of the Delta table
- Full
Name string - The full three-part name (catalog, schema, name) of the feature
- Timeseries
Column string - (string) - The timeseries column of the Delta table
- Entity
Columns []string - (list of string) - The entity columns of the Delta table
- Full
Name string - The full three-part name (catalog, schema, name) of the feature
- Timeseries
Column string - (string) - The timeseries column of the Delta table
- entity
Columns List<String> - (list of string) - The entity columns of the Delta table
- full
Name String - The full three-part name (catalog, schema, name) of the feature
- timeseries
Column String - (string) - The timeseries column of the Delta table
- entity
Columns string[] - (list of string) - The entity columns of the Delta table
- full
Name string - The full three-part name (catalog, schema, name) of the feature
- timeseries
Column string - (string) - The timeseries column of the Delta table
- entity_
columns Sequence[str] - (list of string) - The entity columns of the Delta table
- full_
name str - The full three-part name (catalog, schema, name) of the feature
- timeseries_
column str - (string) - The timeseries column of the Delta table
- entity
Columns List<String> - (list of string) - The entity columns of the Delta table
- full
Name String - The full three-part name (catalog, schema, name) of the feature
- timeseries
Column String - (string) - The timeseries column of the Delta table
GetFeatureEngineeringFeatureSourceKafkaSource
- Entity
Column List<GetIdentifiers Feature Engineering Feature Source Kafka Source Entity Column Identifier> - (list of ColumnIdentifier) - The entity column identifiers of the Kafka source
- Name string
- (string) - Name of the Kafka source, used to identify it. This is used to look up the corresponding KafkaConfig object. Can be distinct from topic name
- Timeseries
Column GetIdentifier Feature Engineering Feature Source Kafka Source Timeseries Column Identifier - (ColumnIdentifier) - The timeseries column identifier of the Kafka source
- Entity
Column []GetIdentifiers Feature Engineering Feature Source Kafka Source Entity Column Identifier - (list of ColumnIdentifier) - The entity column identifiers of the Kafka source
- Name string
- (string) - Name of the Kafka source, used to identify it. This is used to look up the corresponding KafkaConfig object. Can be distinct from topic name
- Timeseries
Column GetIdentifier Feature Engineering Feature Source Kafka Source Timeseries Column Identifier - (ColumnIdentifier) - The timeseries column identifier of the Kafka source
- entity
Column List<GetIdentifiers Feature Engineering Feature Source Kafka Source Entity Column Identifier> - (list of ColumnIdentifier) - The entity column identifiers of the Kafka source
- name String
- (string) - Name of the Kafka source, used to identify it. This is used to look up the corresponding KafkaConfig object. Can be distinct from topic name
- timeseries
Column GetIdentifier Feature Engineering Feature Source Kafka Source Timeseries Column Identifier - (ColumnIdentifier) - The timeseries column identifier of the Kafka source
- entity
Column GetIdentifiers Feature Engineering Feature Source Kafka Source Entity Column Identifier[] - (list of ColumnIdentifier) - The entity column identifiers of the Kafka source
- name string
- (string) - Name of the Kafka source, used to identify it. This is used to look up the corresponding KafkaConfig object. Can be distinct from topic name
- timeseries
Column GetIdentifier Feature Engineering Feature Source Kafka Source Timeseries Column Identifier - (ColumnIdentifier) - The timeseries column identifier of the Kafka source
- entity_
column_ Sequence[Getidentifiers Feature Engineering Feature Source Kafka Source Entity Column Identifier] - (list of ColumnIdentifier) - The entity column identifiers of the Kafka source
- name str
- (string) - Name of the Kafka source, used to identify it. This is used to look up the corresponding KafkaConfig object. Can be distinct from topic name
- timeseries_
column_ Getidentifier Feature Engineering Feature Source Kafka Source Timeseries Column Identifier - (ColumnIdentifier) - The timeseries column identifier of the Kafka source
- entity
Column List<Property Map>Identifiers - (list of ColumnIdentifier) - The entity column identifiers of the Kafka source
- name String
- (string) - Name of the Kafka source, used to identify it. This is used to look up the corresponding KafkaConfig object. Can be distinct from topic name
- timeseries
Column Property MapIdentifier - (ColumnIdentifier) - The timeseries column identifier of the Kafka source
GetFeatureEngineeringFeatureSourceKafkaSourceEntityColumnIdentifier
- Variant
Expr stringPath - (string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip
- Variant
Expr stringPath - (string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip
- variant
Expr StringPath - (string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip
- variant
Expr stringPath - (string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip
- variant_
expr_ strpath - (string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip
- variant
Expr StringPath - (string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip
GetFeatureEngineeringFeatureSourceKafkaSourceTimeseriesColumnIdentifier
- Variant
Expr stringPath - (string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip
- Variant
Expr stringPath - (string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip
- variant
Expr StringPath - (string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip
- variant
Expr stringPath - (string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip
- variant_
expr_ strpath - (string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip
- variant
Expr StringPath - (string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip
GetFeatureEngineeringFeatureTimeWindow
- Continuous
Get
Feature Engineering Feature Time Window Continuous - (ContinuousWindow)
- Sliding
Get
Feature Engineering Feature Time Window Sliding - (SlidingWindow)
- Tumbling
Get
Feature Engineering Feature Time Window Tumbling - (TumblingWindow)
- Continuous
Get
Feature Engineering Feature Time Window Continuous - (ContinuousWindow)
- Sliding
Get
Feature Engineering Feature Time Window Sliding - (SlidingWindow)
- Tumbling
Get
Feature Engineering Feature Time Window Tumbling - (TumblingWindow)
- continuous
Get
Feature Engineering Feature Time Window Continuous - (ContinuousWindow)
- sliding
Get
Feature Engineering Feature Time Window Sliding - (SlidingWindow)
- tumbling
Get
Feature Engineering Feature Time Window Tumbling - (TumblingWindow)
- continuous
Get
Feature Engineering Feature Time Window Continuous - (ContinuousWindow)
- sliding
Get
Feature Engineering Feature Time Window Sliding - (SlidingWindow)
- tumbling
Get
Feature Engineering Feature Time Window Tumbling - (TumblingWindow)
- continuous
Get
Feature Engineering Feature Time Window Continuous - (ContinuousWindow)
- sliding
Get
Feature Engineering Feature Time Window Sliding - (SlidingWindow)
- tumbling
Get
Feature Engineering Feature Time Window Tumbling - (TumblingWindow)
- continuous Property Map
- (ContinuousWindow)
- sliding Property Map
- (SlidingWindow)
- tumbling Property Map
- (TumblingWindow)
GetFeatureEngineeringFeatureTimeWindowContinuous
- Window
Duration string - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- Offset string
- (string) - The offset of the continuous window (must be non-positive)
- Window
Duration string - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- Offset string
- (string) - The offset of the continuous window (must be non-positive)
- window
Duration String - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- offset String
- (string) - The offset of the continuous window (must be non-positive)
- window
Duration string - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- offset string
- (string) - The offset of the continuous window (must be non-positive)
- window_
duration str - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- offset str
- (string) - The offset of the continuous window (must be non-positive)
- window
Duration String - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- offset String
- (string) - The offset of the continuous window (must be non-positive)
GetFeatureEngineeringFeatureTimeWindowSliding
- Slide
Duration string - (string) - The slide duration (interval by which windows advance, must be positive and less than duration)
- Window
Duration string - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- Slide
Duration string - (string) - The slide duration (interval by which windows advance, must be positive and less than duration)
- Window
Duration string - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- slide
Duration String - (string) - The slide duration (interval by which windows advance, must be positive and less than duration)
- window
Duration String - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- slide
Duration string - (string) - The slide duration (interval by which windows advance, must be positive and less than duration)
- window
Duration string - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- slide_
duration str - (string) - The slide duration (interval by which windows advance, must be positive and less than duration)
- window_
duration str - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- slide
Duration String - (string) - The slide duration (interval by which windows advance, must be positive and less than duration)
- window
Duration String - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
GetFeatureEngineeringFeatureTimeWindowTumbling
- Window
Duration string - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- Window
Duration string - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- window
Duration String - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- window
Duration string - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- window_
duration str - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
- window
Duration String - (string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)
Package Details
- Repository
- databricks pulumi/pulumi-databricks
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
databricksTerraform Provider.
Databricks v1.83.0 published on Friday, Jan 23, 2026 by Pulumi
