Azure Native v1.98.0, Mar 23 23

azure-native.streamanalytics.getFunction

Gets details about the specified function. API Version: 2016-03-01.

Using getFunction

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 getFunction(args: GetFunctionArgs, opts?: InvokeOptions): Promise<GetFunctionResult>
function getFunctionOutput(args: GetFunctionOutputArgs, opts?: InvokeOptions): Output<GetFunctionResult>

def get_function(function_name: Optional[str] = None,
                 job_name: Optional[str] = None,
                 resource_group_name: Optional[str] = None,
                 opts: Optional[InvokeOptions] = None) -> GetFunctionResult
def get_function_output(function_name: Optional[pulumi.Input[str]] = None,
                 job_name: Optional[pulumi.Input[str]] = None,
                 resource_group_name: Optional[pulumi.Input[str]] = None,
                 opts: Optional[InvokeOptions] = None) -> Output[GetFunctionResult]

func LookupFunction(ctx *Context, args *LookupFunctionArgs, opts ...InvokeOption) (*LookupFunctionResult, error)
func LookupFunctionOutput(ctx *Context, args *LookupFunctionOutputArgs, opts ...InvokeOption) LookupFunctionResultOutput

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

public static class GetFunction 
{
    public static Task<GetFunctionResult> InvokeAsync(GetFunctionArgs args, InvokeOptions? opts = null)
    public static Output<GetFunctionResult> Invoke(GetFunctionInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetFunctionResult> getFunction(GetFunctionArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet

fn::invoke:
  function: azure-native:streamanalytics:getFunction
  arguments:
    # arguments dictionary

The following arguments are supported:

FunctionName string: The name of the function.
JobName string: The name of the streaming job.
ResourceGroupName string: The name of the resource group that contains the resource. You can obtain this value from the Azure Resource Manager API or the portal.

FunctionName string: The name of the function.
JobName string: The name of the streaming job.
ResourceGroupName string: The name of the resource group that contains the resource. You can obtain this value from the Azure Resource Manager API or the portal.

functionName String: The name of the function.
jobName String: The name of the streaming job.
resourceGroupName String: The name of the resource group that contains the resource. You can obtain this value from the Azure Resource Manager API or the portal.

functionName string: The name of the function.
jobName string: The name of the streaming job.
resourceGroupName string: The name of the resource group that contains the resource. You can obtain this value from the Azure Resource Manager API or the portal.

function_name str: The name of the function.
job_name str: The name of the streaming job.
resource_group_name str: The name of the resource group that contains the resource. You can obtain this value from the Azure Resource Manager API or the portal.

functionName String: The name of the function.
jobName String: The name of the streaming job.
resourceGroupName String: The name of the resource group that contains the resource. You can obtain this value from the Azure Resource Manager API or the portal.

getFunction Result

The following output properties are available:

Id string: Resource Id
Properties Pulumi.AzureNative.StreamAnalytics.Outputs.ScalarFunctionPropertiesResponse: The properties that are associated with a function.
Type string: Resource type
Name string: Resource name

Id string: Resource Id
Properties ScalarFunctionPropertiesResponse: The properties that are associated with a function.
Type string: Resource type
Name string: Resource name

id String: Resource Id
properties ScalarFunctionPropertiesResponse: The properties that are associated with a function.
type String: Resource type
name String: Resource name

id string: Resource Id
properties ScalarFunctionPropertiesResponse: The properties that are associated with a function.
type string: Resource type
name string: Resource name

id str: Resource Id
properties ScalarFunctionPropertiesResponse: The properties that are associated with a function.
type str: Resource type
name str: Resource name

id String: Resource Id
properties Property Map: The properties that are associated with a function.
type String: Resource type
name String: Resource name

Supporting Types

AzureMachineLearningWebServiceFunctionBindingResponse

ApiKey string: The API key used to authenticate with Request-Response endpoint.
BatchSize int: Number between 1 and 10000 describing maximum number of rows for every Azure ML RRS execute request. Default is 1000.
Endpoint string: The Request-Response execute endpoint of the Azure Machine Learning web service. Find out more here: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-consume-web-services#request-response-service-rrs
Inputs Pulumi.AzureNative.StreamAnalytics.Inputs.AzureMachineLearningWebServiceInputsResponse: The inputs for the Azure Machine Learning web service endpoint.
Outputs List<Pulumi.AzureNative.StreamAnalytics.Inputs.AzureMachineLearningWebServiceOutputColumnResponse>: A list of outputs from the Azure Machine Learning web service endpoint execution.

ApiKey string: The API key used to authenticate with Request-Response endpoint.
BatchSize int: Number between 1 and 10000 describing maximum number of rows for every Azure ML RRS execute request. Default is 1000.
Endpoint string: The Request-Response execute endpoint of the Azure Machine Learning web service. Find out more here: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-consume-web-services#request-response-service-rrs
Inputs AzureMachineLearningWebServiceInputsResponse: The inputs for the Azure Machine Learning web service endpoint.
Outputs []AzureMachineLearningWebServiceOutputColumnResponse: A list of outputs from the Azure Machine Learning web service endpoint execution.

apiKey String: The API key used to authenticate with Request-Response endpoint.
batchSize Integer: Number between 1 and 10000 describing maximum number of rows for every Azure ML RRS execute request. Default is 1000.
endpoint String: The Request-Response execute endpoint of the Azure Machine Learning web service. Find out more here: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-consume-web-services#request-response-service-rrs
inputs AzureMachineLearningWebServiceInputsResponse: The inputs for the Azure Machine Learning web service endpoint.
outputs List<AzureMachineLearningWebServiceOutputColumnResponse>: A list of outputs from the Azure Machine Learning web service endpoint execution.

apiKey string: The API key used to authenticate with Request-Response endpoint.
batchSize number: Number between 1 and 10000 describing maximum number of rows for every Azure ML RRS execute request. Default is 1000.
endpoint string: The Request-Response execute endpoint of the Azure Machine Learning web service. Find out more here: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-consume-web-services#request-response-service-rrs
inputs AzureMachineLearningWebServiceInputsResponse: The inputs for the Azure Machine Learning web service endpoint.
outputs AzureMachineLearningWebServiceOutputColumnResponse[]: A list of outputs from the Azure Machine Learning web service endpoint execution.

api_key str: The API key used to authenticate with Request-Response endpoint.
batch_size int: Number between 1 and 10000 describing maximum number of rows for every Azure ML RRS execute request. Default is 1000.
endpoint str: The Request-Response execute endpoint of the Azure Machine Learning web service. Find out more here: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-consume-web-services#request-response-service-rrs
inputs AzureMachineLearningWebServiceInputsResponse: The inputs for the Azure Machine Learning web service endpoint.
outputs Sequence[AzureMachineLearningWebServiceOutputColumnResponse]: A list of outputs from the Azure Machine Learning web service endpoint execution.

apiKey String: The API key used to authenticate with Request-Response endpoint.
batchSize Number: Number between 1 and 10000 describing maximum number of rows for every Azure ML RRS execute request. Default is 1000.
endpoint String: The Request-Response execute endpoint of the Azure Machine Learning web service. Find out more here: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-consume-web-services#request-response-service-rrs
inputs Property Map: The inputs for the Azure Machine Learning web service endpoint.
outputs List<Property Map>: A list of outputs from the Azure Machine Learning web service endpoint execution.

AzureMachineLearningWebServiceInputColumnResponse

DataType string: The (Azure Machine Learning supported) data type of the input column. A list of valid Azure Machine Learning data types are described at https://msdn.microsoft.com/en-us/library/azure/dn905923.aspx .
MapTo int: The zero based index of the function parameter this input maps to.
Name string: The name of the input column.

DataType string: The (Azure Machine Learning supported) data type of the input column. A list of valid Azure Machine Learning data types are described at https://msdn.microsoft.com/en-us/library/azure/dn905923.aspx .
MapTo int: The zero based index of the function parameter this input maps to.
Name string: The name of the input column.

dataType String: The (Azure Machine Learning supported) data type of the input column. A list of valid Azure Machine Learning data types are described at https://msdn.microsoft.com/en-us/library/azure/dn905923.aspx .
mapTo Integer: The zero based index of the function parameter this input maps to.
name String: The name of the input column.

dataType string: The (Azure Machine Learning supported) data type of the input column. A list of valid Azure Machine Learning data types are described at https://msdn.microsoft.com/en-us/library/azure/dn905923.aspx .
mapTo number: The zero based index of the function parameter this input maps to.
name string: The name of the input column.

data_type str: The (Azure Machine Learning supported) data type of the input column. A list of valid Azure Machine Learning data types are described at https://msdn.microsoft.com/en-us/library/azure/dn905923.aspx .
map_to int: The zero based index of the function parameter this input maps to.
name str: The name of the input column.

dataType String: The (Azure Machine Learning supported) data type of the input column. A list of valid Azure Machine Learning data types are described at https://msdn.microsoft.com/en-us/library/azure/dn905923.aspx .
mapTo Number: The zero based index of the function parameter this input maps to.
name String: The name of the input column.

AzureMachineLearningWebServiceInputsResponse

ColumnNames List<Pulumi.AzureNative.StreamAnalytics.Inputs.AzureMachineLearningWebServiceInputColumnResponse>: A list of input columns for the Azure Machine Learning web service endpoint.
Name string: The name of the input. This is the name provided while authoring the endpoint.

ColumnNames []AzureMachineLearningWebServiceInputColumnResponse: A list of input columns for the Azure Machine Learning web service endpoint.
Name string: The name of the input. This is the name provided while authoring the endpoint.

columnNames List<AzureMachineLearningWebServiceInputColumnResponse>: A list of input columns for the Azure Machine Learning web service endpoint.
name String: The name of the input. This is the name provided while authoring the endpoint.

columnNames AzureMachineLearningWebServiceInputColumnResponse[]: A list of input columns for the Azure Machine Learning web service endpoint.
name string: The name of the input. This is the name provided while authoring the endpoint.

column_names Sequence[AzureMachineLearningWebServiceInputColumnResponse]: A list of input columns for the Azure Machine Learning web service endpoint.
name str: The name of the input. This is the name provided while authoring the endpoint.

columnNames List<Property Map>: A list of input columns for the Azure Machine Learning web service endpoint.
name String: The name of the input. This is the name provided while authoring the endpoint.

AzureMachineLearningWebServiceOutputColumnResponse

DataType string: The (Azure Machine Learning supported) data type of the output column. A list of valid Azure Machine Learning data types are described at https://msdn.microsoft.com/en-us/library/azure/dn905923.aspx .
Name string: The name of the output column.

DataType string: The (Azure Machine Learning supported) data type of the output column. A list of valid Azure Machine Learning data types are described at https://msdn.microsoft.com/en-us/library/azure/dn905923.aspx .
Name string: The name of the output column.

dataType String: The (Azure Machine Learning supported) data type of the output column. A list of valid Azure Machine Learning data types are described at https://msdn.microsoft.com/en-us/library/azure/dn905923.aspx .
name String: The name of the output column.

dataType string: The (Azure Machine Learning supported) data type of the output column. A list of valid Azure Machine Learning data types are described at https://msdn.microsoft.com/en-us/library/azure/dn905923.aspx .
name string: The name of the output column.

data_type str: The (Azure Machine Learning supported) data type of the output column. A list of valid Azure Machine Learning data types are described at https://msdn.microsoft.com/en-us/library/azure/dn905923.aspx .
name str: The name of the output column.

dataType String: The (Azure Machine Learning supported) data type of the output column. A list of valid Azure Machine Learning data types are described at https://msdn.microsoft.com/en-us/library/azure/dn905923.aspx .
name String: The name of the output column.

FunctionInputResponse

DataType string: The (Azure Stream Analytics supported) data type of the function input parameter. A list of valid Azure Stream Analytics data types are described at https://msdn.microsoft.com/en-us/library/azure/dn835065.aspx
IsConfigurationParameter bool: A flag indicating if the parameter is a configuration parameter. True if this input parameter is expected to be a constant. Default is false.

DataType string: The (Azure Stream Analytics supported) data type of the function input parameter. A list of valid Azure Stream Analytics data types are described at https://msdn.microsoft.com/en-us/library/azure/dn835065.aspx
IsConfigurationParameter bool: A flag indicating if the parameter is a configuration parameter. True if this input parameter is expected to be a constant. Default is false.

dataType String: The (Azure Stream Analytics supported) data type of the function input parameter. A list of valid Azure Stream Analytics data types are described at https://msdn.microsoft.com/en-us/library/azure/dn835065.aspx
isConfigurationParameter Boolean: A flag indicating if the parameter is a configuration parameter. True if this input parameter is expected to be a constant. Default is false.

dataType string: The (Azure Stream Analytics supported) data type of the function input parameter. A list of valid Azure Stream Analytics data types are described at https://msdn.microsoft.com/en-us/library/azure/dn835065.aspx
isConfigurationParameter boolean: A flag indicating if the parameter is a configuration parameter. True if this input parameter is expected to be a constant. Default is false.

data_type str: The (Azure Stream Analytics supported) data type of the function input parameter. A list of valid Azure Stream Analytics data types are described at https://msdn.microsoft.com/en-us/library/azure/dn835065.aspx
is_configuration_parameter bool: A flag indicating if the parameter is a configuration parameter. True if this input parameter is expected to be a constant. Default is false.

dataType String: The (Azure Stream Analytics supported) data type of the function input parameter. A list of valid Azure Stream Analytics data types are described at https://msdn.microsoft.com/en-us/library/azure/dn835065.aspx
isConfigurationParameter Boolean: A flag indicating if the parameter is a configuration parameter. True if this input parameter is expected to be a constant. Default is false.

FunctionOutputResponse

DataType string: The (Azure Stream Analytics supported) data type of the function output. A list of valid Azure Stream Analytics data types are described at https://msdn.microsoft.com/en-us/library/azure/dn835065.aspx

DataType string: The (Azure Stream Analytics supported) data type of the function output. A list of valid Azure Stream Analytics data types are described at https://msdn.microsoft.com/en-us/library/azure/dn835065.aspx

dataType String: The (Azure Stream Analytics supported) data type of the function output. A list of valid Azure Stream Analytics data types are described at https://msdn.microsoft.com/en-us/library/azure/dn835065.aspx

dataType string: The (Azure Stream Analytics supported) data type of the function output. A list of valid Azure Stream Analytics data types are described at https://msdn.microsoft.com/en-us/library/azure/dn835065.aspx

data_type str: The (Azure Stream Analytics supported) data type of the function output. A list of valid Azure Stream Analytics data types are described at https://msdn.microsoft.com/en-us/library/azure/dn835065.aspx

dataType String: The (Azure Stream Analytics supported) data type of the function output. A list of valid Azure Stream Analytics data types are described at https://msdn.microsoft.com/en-us/library/azure/dn835065.aspx

JavaScriptFunctionBindingResponse

Script string: The JavaScript code containing a single function definition. For example: 'function (x, y) { return x + y; }'

Script string: The JavaScript code containing a single function definition. For example: 'function (x, y) { return x + y; }'

script String: The JavaScript code containing a single function definition. For example: 'function (x, y) { return x + y; }'

script string: The JavaScript code containing a single function definition. For example: 'function (x, y) { return x + y; }'

script str: The JavaScript code containing a single function definition. For example: 'function (x, y) { return x + y; }'

script String: The JavaScript code containing a single function definition. For example: 'function (x, y) { return x + y; }'

ScalarFunctionPropertiesResponse

Etag string: The current entity tag for the function. This is an opaque string. You can use it to detect whether the resource has changed between requests. You can also use it in the If-Match or If-None-Match headers for write operations for optimistic concurrency.
Binding Pulumi.AzureNative.StreamAnalytics.Inputs.AzureMachineLearningWebServiceFunctionBindingResponse | Pulumi.AzureNative.StreamAnalytics.Inputs.JavaScriptFunctionBindingResponse: The physical binding of the function. For example, in the Azure Machine Learning web service’s case, this describes the endpoint.
Inputs List<Pulumi.AzureNative.StreamAnalytics.Inputs.FunctionInputResponse>: A list of inputs describing the parameters of the function.
Output Pulumi.AzureNative.StreamAnalytics.Inputs.FunctionOutputResponse: The output of the function.

Etag string: The current entity tag for the function. This is an opaque string. You can use it to detect whether the resource has changed between requests. You can also use it in the If-Match or If-None-Match headers for write operations for optimistic concurrency.
Binding AzureMachineLearningWebServiceFunctionBindingResponse | JavaScriptFunctionBindingResponse: The physical binding of the function. For example, in the Azure Machine Learning web service’s case, this describes the endpoint.
Inputs []FunctionInputResponse: A list of inputs describing the parameters of the function.
Output FunctionOutputResponse: The output of the function.

etag String: The current entity tag for the function. This is an opaque string. You can use it to detect whether the resource has changed between requests. You can also use it in the If-Match or If-None-Match headers for write operations for optimistic concurrency.
binding AzureMachineLearningWebServiceFunctionBindingResponse | JavaScriptFunctionBindingResponse: The physical binding of the function. For example, in the Azure Machine Learning web service’s case, this describes the endpoint.
inputs List<FunctionInputResponse>: A list of inputs describing the parameters of the function.
output FunctionOutputResponse: The output of the function.

etag string: The current entity tag for the function. This is an opaque string. You can use it to detect whether the resource has changed between requests. You can also use it in the If-Match or If-None-Match headers for write operations for optimistic concurrency.
binding AzureMachineLearningWebServiceFunctionBindingResponse | JavaScriptFunctionBindingResponse: The physical binding of the function. For example, in the Azure Machine Learning web service’s case, this describes the endpoint.
inputs FunctionInputResponse[]: A list of inputs describing the parameters of the function.
output FunctionOutputResponse: The output of the function.

etag str: The current entity tag for the function. This is an opaque string. You can use it to detect whether the resource has changed between requests. You can also use it in the If-Match or If-None-Match headers for write operations for optimistic concurrency.
binding AzureMachineLearningWebServiceFunctionBindingResponse | JavaScriptFunctionBindingResponse: The physical binding of the function. For example, in the Azure Machine Learning web service’s case, this describes the endpoint.
inputs Sequence[FunctionInputResponse]: A list of inputs describing the parameters of the function.
output FunctionOutputResponse: The output of the function.

etag String: The current entity tag for the function. This is an opaque string. You can use it to detect whether the resource has changed between requests. You can also use it in the If-Match or If-None-Match headers for write operations for optimistic concurrency.
binding Property Map | Property Map: The physical binding of the function. For example, in the Azure Machine Learning web service’s case, this describes the endpoint.
inputs List<Property Map>: A list of inputs describing the parameters of the function.
output Property Map: The output of the function.

Package Details

Repository: Azure Native pulumi/pulumi-azure-native
License: Apache-2.0