databricks.getFeatureEngineeringFeatures

func GetFeatureEngineeringFeatures(ctx *Context, args *GetFeatureEngineeringFeaturesArgs, opts ...InvokeOption) (*GetFeatureEngineeringFeaturesResult, error)
func GetFeatureEngineeringFeaturesOutput(ctx *Context, args *GetFeatureEngineeringFeaturesOutputArgs, opts ...InvokeOption) GetFeatureEngineeringFeaturesResultOutput

> Note: This function is named GetFeatureEngineeringFeatures in the Go SDK.

PageSize int

The maximum number of results to return

ProviderConfig GetFeatureEngineeringFeaturesProviderConfig

Configure the provider for management through account provider.

PageSize int

The maximum number of results to return

ProviderConfig GetFeatureEngineeringFeaturesProviderConfig

Configure the provider for management through account provider.

pageSize Integer

The maximum number of results to return

providerConfig GetFeatureEngineeringFeaturesProviderConfig

Configure the provider for management through account provider.

pageSize number

The maximum number of results to return

providerConfig GetFeatureEngineeringFeaturesProviderConfig

Configure the provider for management through account provider.

page_size int

The maximum number of results to return

provider_config GetFeatureEngineeringFeaturesProviderConfig

Configure the provider for management through account provider.

pageSize Number

The maximum number of results to return

providerConfig Property Map

Configure the provider for management through account provider.

Features List<GetFeatureEngineeringFeaturesFeature>

Id string

The provider-assigned unique ID for this managed resource.

PageSize int

ProviderConfig GetFeatureEngineeringFeaturesProviderConfig

Features []GetFeatureEngineeringFeaturesFeature

Id string

The provider-assigned unique ID for this managed resource.

PageSize int

ProviderConfig GetFeatureEngineeringFeaturesProviderConfig

features List<GetFeatureEngineeringFeaturesFeature>

id String

The provider-assigned unique ID for this managed resource.

pageSize Integer

providerConfig GetFeatureEngineeringFeaturesProviderConfig

features GetFeatureEngineeringFeaturesFeature[]

id string

The provider-assigned unique ID for this managed resource.

pageSize number

providerConfig GetFeatureEngineeringFeaturesProviderConfig

features Sequence[GetFeatureEngineeringFeaturesFeature]

id str

The provider-assigned unique ID for this managed resource.

page_size int

provider_config GetFeatureEngineeringFeaturesProviderConfig

features List<Property Map>

id String

The provider-assigned unique ID for this managed resource.

pageSize Number

providerConfig Property Map

Description string

(string) - The description of the feature

Entities List<GetFeatureEngineeringFeaturesFeatureEntity>

(list of EntityColumn) - The entity columns for the feature, used as aggregation keys and for query-time lookup

FilterCondition string

(string) - The filter condition applied to the source data before aggregation

FullName string

(string) - The full three-part (catalog, schema, table) name of the Delta table

Function GetFeatureEngineeringFeaturesFeatureFunction

(Function) - The function by which the feature is computed

Inputs List<string>

(list of string, deprecated) - Deprecated: Use AggregationFunction.inputs instead. Kept for backwards compatibility. The input columns from which the feature is computed

LineageContext GetFeatureEngineeringFeaturesFeatureLineageContext

(LineageContext) - Lineage context information for this feature. WARNING: This field is primarily intended for internal use by Databricks systems and is automatically populated when features are created through Databricks notebooks or jobs. Users should not manually set this field as incorrect values may lead to inaccurate lineage tracking or unexpected behavior. This field will be set by feature-engineering client and should be left unset by SDK and terraform users

Source GetFeatureEngineeringFeaturesFeatureSource

(DataSource) - The data source of the feature

TimeWindow GetFeatureEngineeringFeaturesFeatureTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

TimeseriesColumn GetFeatureEngineeringFeaturesFeatureTimeseriesColumn

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

ProviderConfig GetFeatureEngineeringFeaturesFeatureProviderConfig

Configure the provider for management through account provider.

Description string

(string) - The description of the feature

Entities []GetFeatureEngineeringFeaturesFeatureEntity

(list of EntityColumn) - The entity columns for the feature, used as aggregation keys and for query-time lookup

FilterCondition string

(string) - The filter condition applied to the source data before aggregation

FullName string

(string) - The full three-part (catalog, schema, table) name of the Delta table

Function GetFeatureEngineeringFeaturesFeatureFunction

(Function) - The function by which the feature is computed

Inputs []string

(list of string, deprecated) - Deprecated: Use AggregationFunction.inputs instead. Kept for backwards compatibility. The input columns from which the feature is computed

LineageContext GetFeatureEngineeringFeaturesFeatureLineageContext

(LineageContext) - Lineage context information for this feature. WARNING: This field is primarily intended for internal use by Databricks systems and is automatically populated when features are created through Databricks notebooks or jobs. Users should not manually set this field as incorrect values may lead to inaccurate lineage tracking or unexpected behavior. This field will be set by feature-engineering client and should be left unset by SDK and terraform users

Source GetFeatureEngineeringFeaturesFeatureSource

(DataSource) - The data source of the feature

TimeWindow GetFeatureEngineeringFeaturesFeatureTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

TimeseriesColumn GetFeatureEngineeringFeaturesFeatureTimeseriesColumn

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

ProviderConfig GetFeatureEngineeringFeaturesFeatureProviderConfig

Configure the provider for management through account provider.

description String

(string) - The description of the feature

entities List<GetFeatureEngineeringFeaturesFeatureEntity>

(list of EntityColumn) - The entity columns for the feature, used as aggregation keys and for query-time lookup

filterCondition String

(string) - The filter condition applied to the source data before aggregation

fullName String

(string) - The full three-part (catalog, schema, table) name of the Delta table

function GetFeatureEngineeringFeaturesFeatureFunction

(Function) - The function by which the feature is computed

inputs List<String>

(list of string, deprecated) - Deprecated: Use AggregationFunction.inputs instead. Kept for backwards compatibility. The input columns from which the feature is computed

lineageContext GetFeatureEngineeringFeaturesFeatureLineageContext

(LineageContext) - Lineage context information for this feature. WARNING: This field is primarily intended for internal use by Databricks systems and is automatically populated when features are created through Databricks notebooks or jobs. Users should not manually set this field as incorrect values may lead to inaccurate lineage tracking or unexpected behavior. This field will be set by feature-engineering client and should be left unset by SDK and terraform users

source GetFeatureEngineeringFeaturesFeatureSource

(DataSource) - The data source of the feature

timeWindow GetFeatureEngineeringFeaturesFeatureTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

timeseriesColumn GetFeatureEngineeringFeaturesFeatureTimeseriesColumn

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

providerConfig GetFeatureEngineeringFeaturesFeatureProviderConfig

Configure the provider for management through account provider.

description string

(string) - The description of the feature

entities GetFeatureEngineeringFeaturesFeatureEntity[]

(list of EntityColumn) - The entity columns for the feature, used as aggregation keys and for query-time lookup

filterCondition string

(string) - The filter condition applied to the source data before aggregation

fullName string

(string) - The full three-part (catalog, schema, table) name of the Delta table

function GetFeatureEngineeringFeaturesFeatureFunction

(Function) - The function by which the feature is computed

inputs string[]

(list of string, deprecated) - Deprecated: Use AggregationFunction.inputs instead. Kept for backwards compatibility. The input columns from which the feature is computed

lineageContext GetFeatureEngineeringFeaturesFeatureLineageContext

(LineageContext) - Lineage context information for this feature. WARNING: This field is primarily intended for internal use by Databricks systems and is automatically populated when features are created through Databricks notebooks or jobs. Users should not manually set this field as incorrect values may lead to inaccurate lineage tracking or unexpected behavior. This field will be set by feature-engineering client and should be left unset by SDK and terraform users

source GetFeatureEngineeringFeaturesFeatureSource

(DataSource) - The data source of the feature

timeWindow GetFeatureEngineeringFeaturesFeatureTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

timeseriesColumn GetFeatureEngineeringFeaturesFeatureTimeseriesColumn

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

providerConfig GetFeatureEngineeringFeaturesFeatureProviderConfig

Configure the provider for management through account provider.

description str

(string) - The description of the feature

entities Sequence[GetFeatureEngineeringFeaturesFeatureEntity]

(list of EntityColumn) - The entity columns for the feature, used as aggregation keys and for query-time lookup

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 GetFeatureEngineeringFeaturesFeatureFunction

(Function) - The function by which the feature is computed

inputs Sequence[str]

(list of string, deprecated) - Deprecated: Use AggregationFunction.inputs instead. Kept for backwards compatibility. The input columns from which the feature is computed

lineage_context GetFeatureEngineeringFeaturesFeatureLineageContext

(LineageContext) - Lineage context information for this feature. WARNING: This field is primarily intended for internal use by Databricks systems and is automatically populated when features are created through Databricks notebooks or jobs. Users should not manually set this field as incorrect values may lead to inaccurate lineage tracking or unexpected behavior. This field will be set by feature-engineering client and should be left unset by SDK and terraform users

source GetFeatureEngineeringFeaturesFeatureSource

(DataSource) - The data source of the feature

time_window GetFeatureEngineeringFeaturesFeatureTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

timeseries_column GetFeatureEngineeringFeaturesFeatureTimeseriesColumn

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

provider_config GetFeatureEngineeringFeaturesFeatureProviderConfig

Configure the provider for management through account provider.

description String

(string) - The description of the feature

entities List<Property Map>

(list of EntityColumn) - The entity columns for the feature, used as aggregation keys and for query-time lookup

filterCondition String

(string) - The filter condition applied to the source data before aggregation

fullName 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

inputs List<String>

(list of string, deprecated) - Deprecated: Use AggregationFunction.inputs instead. Kept for backwards compatibility. The input columns from which the feature is computed

lineageContext Property Map

(LineageContext) - Lineage context information for this feature. WARNING: This field is primarily intended for internal use by Databricks systems and is automatically populated when features are created through Databricks notebooks or jobs. Users should not manually set this field as incorrect values may lead to inaccurate lineage tracking or unexpected behavior. This field will be set by feature-engineering client and should be left unset by SDK and terraform users

source Property Map

(DataSource) - The data source of the feature

timeWindow Property Map

(TimeWindow) - The time window over which the aggregation is computed

timeseriesColumn Property Map

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

providerConfig Property Map

Configure the provider for management through account provider.

Name string

(string) - The name of the timeseries column

Name string

(string) - The name of the timeseries column

name String

(string) - The name of the timeseries column

name string

(string) - The name of the timeseries column

name str

(string) - The name of the timeseries column

name String

(string) - The name of the timeseries column

AggregationFunction GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunction

(AggregationFunction) - An aggregation function applied over a time window

ExtraParameters List<GetFeatureEngineeringFeaturesFeatureFunctionExtraParameter>

(list of FunctionExtraParameter, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. Extra parameters for parameterized functions

FunctionType string

(string, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. 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

AggregationFunction GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunction

(AggregationFunction) - An aggregation function applied over a time window

ExtraParameters []GetFeatureEngineeringFeaturesFeatureFunctionExtraParameter

(list of FunctionExtraParameter, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. Extra parameters for parameterized functions

FunctionType string

(string, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. 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

aggregationFunction GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunction

(AggregationFunction) - An aggregation function applied over a time window

extraParameters List<GetFeatureEngineeringFeaturesFeatureFunctionExtraParameter>

(list of FunctionExtraParameter, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. Extra parameters for parameterized functions

functionType String

(string, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. 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

aggregationFunction GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunction

(AggregationFunction) - An aggregation function applied over a time window

extraParameters GetFeatureEngineeringFeaturesFeatureFunctionExtraParameter[]

(list of FunctionExtraParameter, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. Extra parameters for parameterized functions

functionType string

(string, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. 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

aggregation_function GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunction

(AggregationFunction) - An aggregation function applied over a time window

extra_parameters Sequence[GetFeatureEngineeringFeaturesFeatureFunctionExtraParameter]

(list of FunctionExtraParameter, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. Extra parameters for parameterized functions

function_type str

(string, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. 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

aggregationFunction Property Map

(AggregationFunction) - An aggregation function applied over a time window

extraParameters List<Property Map>

(list of FunctionExtraParameter, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. Extra parameters for parameterized functions

functionType String

(string, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. 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

ApproxCountDistinct GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionApproxCountDistinct

(ApproxCountDistinctFunction)

ApproxPercentile GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionApproxPercentile

(ApproxPercentileFunction)

Avg GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionAvg

(AvgFunction)

CountFunction GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionCountFunction

(CountFunction)

First GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionFirst

(FirstFunction)

Last GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionLast

(LastFunction)

Max GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionMax

(MaxFunction)

Min GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionMin

(MinFunction)

StddevPop GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionStddevPop

(StddevPopFunction)

StddevSamp GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionStddevSamp

(StddevSampFunction)

Sum GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionSum

(SumFunction)

TimeWindow GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

VarPop GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionVarPop

(VarPopFunction)

VarSamp GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionVarSamp

(VarSampFunction)

ApproxCountDistinct GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionApproxCountDistinct

(ApproxCountDistinctFunction)

ApproxPercentile GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionApproxPercentile

(ApproxPercentileFunction)

Avg GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionAvg

(AvgFunction)

CountFunction GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionCountFunction

(CountFunction)

First GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionFirst

(FirstFunction)

Last GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionLast

(LastFunction)

Max GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionMax

(MaxFunction)

Min GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionMin

(MinFunction)

StddevPop GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionStddevPop

(StddevPopFunction)

StddevSamp GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionStddevSamp

(StddevSampFunction)

Sum GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionSum

(SumFunction)

TimeWindow GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

VarPop GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionVarPop

(VarPopFunction)

VarSamp GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionVarSamp

(VarSampFunction)

approxCountDistinct GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionApproxCountDistinct

(ApproxCountDistinctFunction)

approxPercentile GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionApproxPercentile

(ApproxPercentileFunction)

avg GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionAvg

(AvgFunction)

countFunction GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionCountFunction

(CountFunction)

first GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionFirst

(FirstFunction)

last GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionLast

(LastFunction)

max GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionMax

(MaxFunction)

min GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionMin

(MinFunction)

stddevPop GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionStddevPop

(StddevPopFunction)

stddevSamp GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionStddevSamp

(StddevSampFunction)

sum GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionSum

(SumFunction)

timeWindow GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

varPop GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionVarPop

(VarPopFunction)

varSamp GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionVarSamp

(VarSampFunction)

approxCountDistinct GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionApproxCountDistinct

(ApproxCountDistinctFunction)

approxPercentile GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionApproxPercentile

(ApproxPercentileFunction)

avg GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionAvg

(AvgFunction)

countFunction GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionCountFunction

(CountFunction)

first GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionFirst

(FirstFunction)

last GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionLast

(LastFunction)

max GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionMax

(MaxFunction)

min GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionMin

(MinFunction)

stddevPop GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionStddevPop

(StddevPopFunction)

stddevSamp GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionStddevSamp

(StddevSampFunction)

sum GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionSum

(SumFunction)

timeWindow GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

varPop GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionVarPop

(VarPopFunction)

varSamp GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionVarSamp

(VarSampFunction)

approx_count_distinct GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionApproxCountDistinct

(ApproxCountDistinctFunction)

approx_percentile GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionApproxPercentile

(ApproxPercentileFunction)

avg GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionAvg

(AvgFunction)

count_function GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionCountFunction

(CountFunction)

first GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionFirst

(FirstFunction)

last GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionLast

(LastFunction)

max GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionMax

(MaxFunction)

min GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionMin

(MinFunction)

stddev_pop GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionStddevPop

(StddevPopFunction)

stddev_samp GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionStddevSamp

(StddevSampFunction)

sum GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionSum

(SumFunction)

time_window GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

var_pop GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionVarPop

(VarPopFunction)

var_samp GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionVarSamp

(VarSampFunction)

approxCountDistinct Property Map

(ApproxCountDistinctFunction)

approxPercentile Property Map

(ApproxPercentileFunction)

avg Property Map

(AvgFunction)

countFunction Property Map

(CountFunction)

first Property Map

(FirstFunction)

last Property Map

(LastFunction)

max Property Map

(MaxFunction)

min Property Map

(MinFunction)

stddevPop Property Map

(StddevPopFunction)

stddevSamp Property Map

(StddevSampFunction)

sum Property Map

(SumFunction)

timeWindow Property Map

(TimeWindow) - The time window over which the aggregation is computed

varPop Property Map

(VarPopFunction)

varSamp Property Map

(VarSampFunction)

Input string

(string) - The input column from which the sample variance is computed

RelativeSd double

(number) - The maximum relative standard deviation allowed (default defined by Spark)

Input string

(string) - The input column from which the sample variance is computed

RelativeSd float64

(number) - The maximum relative standard deviation allowed (default defined by Spark)

input String

(string) - The input column from which the sample variance is computed

relativeSd Double

(number) - The maximum relative standard deviation allowed (default defined by Spark)

input string

(string) - The input column from which the sample variance is computed

relativeSd number

(number) - The maximum relative standard deviation allowed (default defined by Spark)

input str

(string) - The input column from which the sample variance is computed

relative_sd float

(number) - The maximum relative standard deviation allowed (default defined by Spark)

input String

(string) - The input column from which the sample variance is computed

relativeSd Number

(number) - The maximum relative standard deviation allowed (default defined by Spark)

Input string

(string) - The input column from which the sample variance is computed

Percentile double

(number) - The percentile value to compute (between 0 and 1)

Accuracy int

(integer) - The accuracy parameter (higher is more accurate but slower)

Input string

(string) - The input column from which the sample variance is computed

Percentile float64

(number) - The percentile value to compute (between 0 and 1)

Accuracy int

(integer) - The accuracy parameter (higher is more accurate but slower)

input String

(string) - The input column from which the sample variance is computed

percentile Double

(number) - The percentile value to compute (between 0 and 1)

accuracy Integer

(integer) - The accuracy parameter (higher is more accurate but slower)

input string

(string) - The input column from which the sample variance is computed

percentile number

(number) - The percentile value to compute (between 0 and 1)

accuracy number

(integer) - The accuracy parameter (higher is more accurate but slower)

input str

(string) - The input column from which the sample variance is computed

percentile float

(number) - The percentile value to compute (between 0 and 1)

accuracy int

(integer) - The accuracy parameter (higher is more accurate but slower)

input String

(string) - The input column from which the sample variance is computed

percentile Number

(number) - The percentile value to compute (between 0 and 1)

accuracy Number

(integer) - The accuracy parameter (higher is more accurate but slower)

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Continuous GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowContinuous

(ContinuousWindow)

Sliding GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowSliding

(SlidingWindow)

Tumbling GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowTumbling

(TumblingWindow)

Continuous GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowContinuous

(ContinuousWindow)

Sliding GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowSliding

(SlidingWindow)

Tumbling GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowTumbling

(TumblingWindow)

continuous GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowContinuous

(ContinuousWindow)

sliding GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowSliding

(SlidingWindow)

tumbling GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowTumbling

(TumblingWindow)

continuous GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowContinuous

(ContinuousWindow)

sliding GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowSliding

(SlidingWindow)

tumbling GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowTumbling

(TumblingWindow)

continuous GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowContinuous

(ContinuousWindow)

sliding GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowSliding

(SlidingWindow)

tumbling GetFeatureEngineeringFeaturesFeatureFunctionAggregationFunctionTimeWindowTumbling

(TumblingWindow)

continuous Property Map

(ContinuousWindow)

sliding Property Map

(SlidingWindow)

tumbling Property Map

(TumblingWindow)

WindowDuration 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)

WindowDuration 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)

windowDuration 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)

windowDuration 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)

windowDuration 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)

SlideDuration string

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

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

SlideDuration string

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

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

slideDuration String

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

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

slideDuration string

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

windowDuration 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)

slideDuration String

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

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

windowDuration 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)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Key string

(string) - The name of the parameter

Value string

(string) - The value of the parameter

Key string

(string) - The name of the parameter

Value string

(string) - The value of the parameter

key String

(string) - The name of the parameter

value String

(string) - The value of the parameter

key string

(string) - The name of the parameter

value string

(string) - The value of the parameter

key str

(string) - The name of the parameter

value str

(string) - The value of the parameter

key String

(string) - The name of the parameter

value String

(string) - The value of the parameter

JobContext GetFeatureEngineeringFeaturesFeatureLineageContextJobContext

(JobContext) - Job context information including job ID and run ID

NotebookId int

(integer) - The notebook ID where this API was invoked

JobContext GetFeatureEngineeringFeaturesFeatureLineageContextJobContext

(JobContext) - Job context information including job ID and run ID

NotebookId int

(integer) - The notebook ID where this API was invoked

jobContext GetFeatureEngineeringFeaturesFeatureLineageContextJobContext

(JobContext) - Job context information including job ID and run ID

notebookId Integer

(integer) - The notebook ID where this API was invoked

jobContext GetFeatureEngineeringFeaturesFeatureLineageContextJobContext

(JobContext) - Job context information including job ID and run ID

notebookId number

(integer) - The notebook ID where this API was invoked

job_context GetFeatureEngineeringFeaturesFeatureLineageContextJobContext

(JobContext) - Job context information including job ID and run ID

notebook_id int

(integer) - The notebook ID where this API was invoked

jobContext Property Map

(JobContext) - Job context information including job ID and run ID

notebookId Number

(integer) - The notebook ID where this API was invoked

JobId int

(integer) - The job ID where this API invoked

JobRunId int

(integer) - The job run ID where this API was invoked

JobId int

(integer) - The job ID where this API invoked

JobRunId int

(integer) - The job run ID where this API was invoked

jobId Integer

(integer) - The job ID where this API invoked

jobRunId Integer

(integer) - The job run ID where this API was invoked

jobId number

(integer) - The job ID where this API invoked

jobRunId number

(integer) - The job run ID where this API was invoked

job_id int

(integer) - The job ID where this API invoked

job_run_id int

(integer) - The job run ID where this API was invoked

jobId Number

(integer) - The job ID where this API invoked

jobRunId Number

(integer) - The job run ID where this API was invoked

WorkspaceId string

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

WorkspaceId string

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

workspaceId String

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

workspaceId string

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

workspace_id str

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

workspaceId String

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

DeltaTableSource GetFeatureEngineeringFeaturesFeatureSourceDeltaTableSource

(DeltaTableSource)

KafkaSource GetFeatureEngineeringFeaturesFeatureSourceKafkaSource

(KafkaSource)

DeltaTableSource GetFeatureEngineeringFeaturesFeatureSourceDeltaTableSource

(DeltaTableSource)

KafkaSource GetFeatureEngineeringFeaturesFeatureSourceKafkaSource

(KafkaSource)

deltaTableSource GetFeatureEngineeringFeaturesFeatureSourceDeltaTableSource

(DeltaTableSource)

kafkaSource GetFeatureEngineeringFeaturesFeatureSourceKafkaSource

(KafkaSource)

deltaTableSource GetFeatureEngineeringFeaturesFeatureSourceDeltaTableSource

(DeltaTableSource)

kafkaSource GetFeatureEngineeringFeaturesFeatureSourceKafkaSource

(KafkaSource)

delta_table_source GetFeatureEngineeringFeaturesFeatureSourceDeltaTableSource

(DeltaTableSource)

kafka_source GetFeatureEngineeringFeaturesFeatureSourceKafkaSource

(KafkaSource)

deltaTableSource Property Map

(DeltaTableSource)

kafkaSource Property Map

(KafkaSource)

FullName string

(string) - The full three-part (catalog, schema, table) name of the Delta table

DataframeSchema string

(string) - Schema of the resulting dataframe after transformations, in Spark StructType JSON format (from df.schema.json()). Required if transformation_sql is specified. Example: {"type":"struct","fields":[{"name":<span pulumi-lang-nodejs=""colA"" pulumi-lang-dotnet=""ColA"" pulumi-lang-go=""colA"" pulumi-lang-python=""col_a"" pulumi-lang-yaml=""colA"" pulumi-lang-java=""colA"">"col_a","type":"integer","nullable":true,"metadata":{}},{"name":<span pulumi-lang-nodejs=""colC"" pulumi-lang-dotnet=""ColC"" pulumi-lang-go=""colC"" pulumi-lang-python=""col_c"" pulumi-lang-yaml=""colC"" pulumi-lang-java=""colC"">"col_c","type":"integer","nullable":true,"metadata":{}}]}

EntityColumns List<string>

(list of string, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity columns of the Delta table

FilterCondition string

(string) - The filter condition applied to the source data before aggregation

TimeseriesColumn string

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

TransformationSql string

(string) - A single SQL SELECT expression applied after filter_condition. Should contains all the columns needed (eg. "SELECT , col_a + col_b AS col_c FROM x.y.z WHERE col_a > 0" would have transformation_sql ", col_a + col_b AS<span pulumi-lang-nodejs=" colC"" pulumi-lang-dotnet=" ColC"" pulumi-lang-go=" colC"" pulumi-lang-python=" col_c"" pulumi-lang-yaml=" colC"" pulumi-lang-java=" colC""> col_c") If transformation_sql is not provided, all columns of the delta table are present in the DataSource dataframe

FullName string

(string) - The full three-part (catalog, schema, table) name of the Delta table

DataframeSchema string

(string) - Schema of the resulting dataframe after transformations, in Spark StructType JSON format (from df.schema.json()). Required if transformation_sql is specified. Example: {"type":"struct","fields":[{"name":<span pulumi-lang-nodejs=""colA"" pulumi-lang-dotnet=""ColA"" pulumi-lang-go=""colA"" pulumi-lang-python=""col_a"" pulumi-lang-yaml=""colA"" pulumi-lang-java=""colA"">"col_a","type":"integer","nullable":true,"metadata":{}},{"name":<span pulumi-lang-nodejs=""colC"" pulumi-lang-dotnet=""ColC"" pulumi-lang-go=""colC"" pulumi-lang-python=""col_c"" pulumi-lang-yaml=""colC"" pulumi-lang-java=""colC"">"col_c","type":"integer","nullable":true,"metadata":{}}]}

EntityColumns []string

(list of string, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity columns of the Delta table

FilterCondition string

(string) - The filter condition applied to the source data before aggregation

TimeseriesColumn string

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

TransformationSql string

(string) - A single SQL SELECT expression applied after filter_condition. Should contains all the columns needed (eg. "SELECT , col_a + col_b AS col_c FROM x.y.z WHERE col_a > 0" would have transformation_sql ", col_a + col_b AS<span pulumi-lang-nodejs=" colC"" pulumi-lang-dotnet=" ColC"" pulumi-lang-go=" colC"" pulumi-lang-python=" col_c"" pulumi-lang-yaml=" colC"" pulumi-lang-java=" colC""> col_c") If transformation_sql is not provided, all columns of the delta table are present in the DataSource dataframe

fullName String

(string) - The full three-part (catalog, schema, table) name of the Delta table

dataframeSchema String

(string) - Schema of the resulting dataframe after transformations, in Spark StructType JSON format (from df.schema.json()). Required if transformation_sql is specified. Example: {"type":"struct","fields":[{"name":<span pulumi-lang-nodejs=""colA"" pulumi-lang-dotnet=""ColA"" pulumi-lang-go=""colA"" pulumi-lang-python=""col_a"" pulumi-lang-yaml=""colA"" pulumi-lang-java=""colA"">"col_a","type":"integer","nullable":true,"metadata":{}},{"name":<span pulumi-lang-nodejs=""colC"" pulumi-lang-dotnet=""ColC"" pulumi-lang-go=""colC"" pulumi-lang-python=""col_c"" pulumi-lang-yaml=""colC"" pulumi-lang-java=""colC"">"col_c","type":"integer","nullable":true,"metadata":{}}]}

entityColumns List<String>

(list of string, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity columns of the Delta table

filterCondition String

(string) - The filter condition applied to the source data before aggregation

timeseriesColumn String

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

transformationSql String

(string) - A single SQL SELECT expression applied after filter_condition. Should contains all the columns needed (eg. "SELECT , col_a + col_b AS col_c FROM x.y.z WHERE col_a > 0" would have transformation_sql ", col_a + col_b AS<span pulumi-lang-nodejs=" colC"" pulumi-lang-dotnet=" ColC"" pulumi-lang-go=" colC"" pulumi-lang-python=" col_c"" pulumi-lang-yaml=" colC"" pulumi-lang-java=" colC""> col_c") If transformation_sql is not provided, all columns of the delta table are present in the DataSource dataframe

fullName string

(string) - The full three-part (catalog, schema, table) name of the Delta table

dataframeSchema string

(string) - Schema of the resulting dataframe after transformations, in Spark StructType JSON format (from df.schema.json()). Required if transformation_sql is specified. Example: {"type":"struct","fields":[{"name":<span pulumi-lang-nodejs=""colA"" pulumi-lang-dotnet=""ColA"" pulumi-lang-go=""colA"" pulumi-lang-python=""col_a"" pulumi-lang-yaml=""colA"" pulumi-lang-java=""colA"">"col_a","type":"integer","nullable":true,"metadata":{}},{"name":<span pulumi-lang-nodejs=""colC"" pulumi-lang-dotnet=""ColC"" pulumi-lang-go=""colC"" pulumi-lang-python=""col_c"" pulumi-lang-yaml=""colC"" pulumi-lang-java=""colC"">"col_c","type":"integer","nullable":true,"metadata":{}}]}

entityColumns string[]

(list of string, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity columns of the Delta table

filterCondition string

(string) - The filter condition applied to the source data before aggregation

timeseriesColumn string

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

transformationSql string

(string) - A single SQL SELECT expression applied after filter_condition. Should contains all the columns needed (eg. "SELECT , col_a + col_b AS col_c FROM x.y.z WHERE col_a > 0" would have transformation_sql ", col_a + col_b AS<span pulumi-lang-nodejs=" colC"" pulumi-lang-dotnet=" ColC"" pulumi-lang-go=" colC"" pulumi-lang-python=" col_c"" pulumi-lang-yaml=" colC"" pulumi-lang-java=" colC""> col_c") If transformation_sql is not provided, all columns of the delta table are present in the DataSource dataframe

full_name str

(string) - The full three-part (catalog, schema, table) name of the Delta table

dataframe_schema str

(string) - Schema of the resulting dataframe after transformations, in Spark StructType JSON format (from df.schema.json()). Required if transformation_sql is specified. Example: {"type":"struct","fields":[{"name":<span pulumi-lang-nodejs=""colA"" pulumi-lang-dotnet=""ColA"" pulumi-lang-go=""colA"" pulumi-lang-python=""col_a"" pulumi-lang-yaml=""colA"" pulumi-lang-java=""colA"">"col_a","type":"integer","nullable":true,"metadata":{}},{"name":<span pulumi-lang-nodejs=""colC"" pulumi-lang-dotnet=""ColC"" pulumi-lang-go=""colC"" pulumi-lang-python=""col_c"" pulumi-lang-yaml=""colC"" pulumi-lang-java=""colC"">"col_c","type":"integer","nullable":true,"metadata":{}}]}

entity_columns Sequence[str]

(list of string, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity columns of the Delta table

filter_condition str

(string) - The filter condition applied to the source data before aggregation

timeseries_column str

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

transformation_sql str

(string) - A single SQL SELECT expression applied after filter_condition. Should contains all the columns needed (eg. "SELECT , col_a + col_b AS col_c FROM x.y.z WHERE col_a > 0" would have transformation_sql ", col_a + col_b AS<span pulumi-lang-nodejs=" colC"" pulumi-lang-dotnet=" ColC"" pulumi-lang-go=" colC"" pulumi-lang-python=" col_c"" pulumi-lang-yaml=" colC"" pulumi-lang-java=" colC""> col_c") If transformation_sql is not provided, all columns of the delta table are present in the DataSource dataframe

fullName String

(string) - The full three-part (catalog, schema, table) name of the Delta table

dataframeSchema String

(string) - Schema of the resulting dataframe after transformations, in Spark StructType JSON format (from df.schema.json()). Required if transformation_sql is specified. Example: {"type":"struct","fields":[{"name":<span pulumi-lang-nodejs=""colA"" pulumi-lang-dotnet=""ColA"" pulumi-lang-go=""colA"" pulumi-lang-python=""col_a"" pulumi-lang-yaml=""colA"" pulumi-lang-java=""colA"">"col_a","type":"integer","nullable":true,"metadata":{}},{"name":<span pulumi-lang-nodejs=""colC"" pulumi-lang-dotnet=""ColC"" pulumi-lang-go=""colC"" pulumi-lang-python=""col_c"" pulumi-lang-yaml=""colC"" pulumi-lang-java=""colC"">"col_c","type":"integer","nullable":true,"metadata":{}}]}

entityColumns List<String>

(list of string, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity columns of the Delta table

filterCondition String

(string) - The filter condition applied to the source data before aggregation

timeseriesColumn String

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

transformationSql String

(string) - A single SQL SELECT expression applied after filter_condition. Should contains all the columns needed (eg. "SELECT , col_a + col_b AS col_c FROM x.y.z WHERE col_a > 0" would have transformation_sql ", col_a + col_b AS<span pulumi-lang-nodejs=" colC"" pulumi-lang-dotnet=" ColC"" pulumi-lang-go=" colC"" pulumi-lang-python=" col_c"" pulumi-lang-yaml=" colC"" pulumi-lang-java=" colC""> col_c") If transformation_sql is not provided, all columns of the delta table are present in the DataSource dataframe

Name string

(string) - The name of the timeseries column

EntityColumnIdentifiers List<GetFeatureEngineeringFeaturesFeatureSourceKafkaSourceEntityColumnIdentifier>

(list of ColumnIdentifier, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity column identifiers of the Kafka source

FilterCondition string

(string) - The filter condition applied to the source data before aggregation

TimeseriesColumnIdentifier GetFeatureEngineeringFeaturesFeatureSourceKafkaSourceTimeseriesColumnIdentifier

(ColumnIdentifier, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column identifier of the Kafka source

Name string

(string) - The name of the timeseries column

EntityColumnIdentifiers []GetFeatureEngineeringFeaturesFeatureSourceKafkaSourceEntityColumnIdentifier

(list of ColumnIdentifier, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity column identifiers of the Kafka source

FilterCondition string

(string) - The filter condition applied to the source data before aggregation

TimeseriesColumnIdentifier GetFeatureEngineeringFeaturesFeatureSourceKafkaSourceTimeseriesColumnIdentifier

(ColumnIdentifier, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column identifier of the Kafka source

name String

(string) - The name of the timeseries column

entityColumnIdentifiers List<GetFeatureEngineeringFeaturesFeatureSourceKafkaSourceEntityColumnIdentifier>

(list of ColumnIdentifier, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity column identifiers of the Kafka source

filterCondition String

(string) - The filter condition applied to the source data before aggregation

timeseriesColumnIdentifier GetFeatureEngineeringFeaturesFeatureSourceKafkaSourceTimeseriesColumnIdentifier

(ColumnIdentifier, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column identifier of the Kafka source

name string

(string) - The name of the timeseries column

entityColumnIdentifiers GetFeatureEngineeringFeaturesFeatureSourceKafkaSourceEntityColumnIdentifier[]

(list of ColumnIdentifier, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity column identifiers of the Kafka source

filterCondition string

(string) - The filter condition applied to the source data before aggregation

timeseriesColumnIdentifier GetFeatureEngineeringFeaturesFeatureSourceKafkaSourceTimeseriesColumnIdentifier

(ColumnIdentifier, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column identifier of the Kafka source

name str

(string) - The name of the timeseries column

entity_column_identifiers Sequence[GetFeatureEngineeringFeaturesFeatureSourceKafkaSourceEntityColumnIdentifier]

(list of ColumnIdentifier, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity column identifiers of the Kafka source

filter_condition str

(string) - The filter condition applied to the source data before aggregation

timeseries_column_identifier GetFeatureEngineeringFeaturesFeatureSourceKafkaSourceTimeseriesColumnIdentifier

(ColumnIdentifier, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column identifier of the Kafka source

name String

(string) - The name of the timeseries column

entityColumnIdentifiers List<Property Map>

(list of ColumnIdentifier, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity column identifiers of the Kafka source

filterCondition String

(string) - The filter condition applied to the source data before aggregation

timeseriesColumnIdentifier Property Map

(ColumnIdentifier, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column identifier of the Kafka source

VariantExprPath string

(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

VariantExprPath string

(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

variantExprPath String

(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

variantExprPath string

(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_path str

(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

variantExprPath String

(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

VariantExprPath string

(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

VariantExprPath string

(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

variantExprPath String

(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

variantExprPath string

(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_path str

(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

variantExprPath String

(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

Continuous GetFeatureEngineeringFeaturesFeatureTimeWindowContinuous

(ContinuousWindow)

Sliding GetFeatureEngineeringFeaturesFeatureTimeWindowSliding

(SlidingWindow)

Tumbling GetFeatureEngineeringFeaturesFeatureTimeWindowTumbling

(TumblingWindow)

Continuous GetFeatureEngineeringFeaturesFeatureTimeWindowContinuous

(ContinuousWindow)

Sliding GetFeatureEngineeringFeaturesFeatureTimeWindowSliding

(SlidingWindow)

Tumbling GetFeatureEngineeringFeaturesFeatureTimeWindowTumbling

(TumblingWindow)

continuous GetFeatureEngineeringFeaturesFeatureTimeWindowContinuous

(ContinuousWindow)

sliding GetFeatureEngineeringFeaturesFeatureTimeWindowSliding

(SlidingWindow)

tumbling GetFeatureEngineeringFeaturesFeatureTimeWindowTumbling

(TumblingWindow)

continuous GetFeatureEngineeringFeaturesFeatureTimeWindowContinuous

(ContinuousWindow)

sliding GetFeatureEngineeringFeaturesFeatureTimeWindowSliding

(SlidingWindow)

tumbling GetFeatureEngineeringFeaturesFeatureTimeWindowTumbling

(TumblingWindow)

continuous GetFeatureEngineeringFeaturesFeatureTimeWindowContinuous

(ContinuousWindow)

sliding GetFeatureEngineeringFeaturesFeatureTimeWindowSliding

(SlidingWindow)

tumbling GetFeatureEngineeringFeaturesFeatureTimeWindowTumbling

(TumblingWindow)

continuous Property Map

(ContinuousWindow)

sliding Property Map

(SlidingWindow)

tumbling Property Map

(TumblingWindow)

WindowDuration 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)

WindowDuration 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)

windowDuration 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)

windowDuration 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)

windowDuration 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)

SlideDuration string

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

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

SlideDuration string

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

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

slideDuration String

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

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

slideDuration string

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

windowDuration 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)

slideDuration String

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

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

windowDuration 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)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

Name string

(string) - The name of the timeseries column

Name string

(string) - The name of the timeseries column

name String

(string) - The name of the timeseries column

name string

(string) - The name of the timeseries column

name str

(string) - The name of the timeseries column

name String

(string) - The name of the timeseries column

WorkspaceId string

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

WorkspaceId string

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

workspaceId String

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

workspaceId string

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

workspace_id str

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

workspaceId String

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.