Task Factory Azure

Azure Rest Connection Manager

Connection Properties

Used with the Azure Rest Source and Azure Rest Destination.

Option	Description
Storage Account Name	Storage account name provided by Azure to connect to the desired container.
Storage Account Key	The account key provided by Azure.
Endpoint Suffix	Endpoint suffix provided by Azure. Default: core.windows.net

Proxy Configuration

Option	Description
Proxy Host	Identifies the proxy address.
Proxy Port	Identifies the port used by the proxy.
Proxy User Name	Enter the user name for proxies that require user authentication.
Proxy Password	Enter the password for proxies that require user authentication.

Azure ML Batch Execution Task

Task Icon	Task Description
	The Azure ML Batch Execution Task is used to execute a batch job for an Azure ML web service. See the Azure Storage Connection Manager to learn more about setting up the connection manager.

Function	Description
Storage Container	Identifies the container within Azure storage where the input and output files are stored.
Input File	The name of the source file located in the Azure storage container.
Output File	The name of the destination file located in the Azure storage container. Note:  This does not need to exist.
Web Service Output Name	The name of the web service output defined in the Azure ML experiment web service.
Base Web Service Url	The request Url defined in the batch execution api documentation for your web service. To obtain this Url, users need to do the following in Azure ML Studio: Select the web service group. Select the Batch Execution URL in the default endpoint. Select the Request URL until the end of the word jobs and copy.
Execution Timeout	The amount of time in seconds before the component sends a cancel command.
Parameters	If users have a web service with parameters, this is where to define them.

Azure ML Storage Source

Task Icon	Task Description
	The Azure ML Storage Source retrieves data from blob storage on Azure for an ML web service. See the Azure Storage Connection Manager to learn more about setting up the connection manager.

Function	Description
Storage Container	Identifies the container within Azure storage where the data will be retrieved.
File Name	The name of the .csv file located in the Azure storage container.
Skip First Row	This option is selected by default and used if the first row of data contains headers.
Azure ML Service Metadata URI	The base web service URI with the bold parameters added to the base URL (e.g.https://ussouthcentral.services.azureml.net/odata/workspaces/3b47fa 82350146aaa16a80d10ed01ba7/services/4171be6bcb584f20afa396ab8590 196c/$metadata.) To obtain the URI, users need to do the following in Azure ML Studio: Select the web service group. Select the Batch Execution URI in the default endpoint.  Select the Request URI up to the word jobs and copy (see screenshot below):
Refresh Metadata	Selecting the button updates the Destination Column window. By default, all columns are included in the output.
Row Error Handling	Additional Information:  See the Task Factory Error Row Handling article for more information about this functionality.

Azure Rest Source

Source

Begin by creating a connection manager that connects to the service's storage container. 

Format

The following formats are available: 

Delimited Format

Users can manually configure the delimiter, quote identifiers, the lines to skip, and lines to scan.  Select Detect Formats to configure these fields automatically. 

Option	Description
Delimiter	Identifies the character that separates columns. The default value is the comma ( , ).
Quote	Identifies the character used to indicate a value (if present).
Lines To Skip	Users can designate the number of lines to skip at the beginning of the delimited file.
Auto	Automatically detects which lines to skip.
Lines To Scan	Determines the number of lines to scan when detecting the file.
Detect Formats	Select this button to begin scanning the chosen file.

Detected Delimited View - After the format is detected, a new view appears that allows users to configure or change different properties of the file.

JSON Format

Option	Description
Root Json Path	JSON queries can return multiple levels, therefore, this field Identifies the root to be used.
Output Columns	In this window, users can add and remove columns, define their name, token path (defined within the raw data), data type, length, precision, scale, and code page.
Date Parse Handling	Specifies how date formatted strings are parsed when reading JSON text. None - Strings are not parsed as a date type and are read as strings. DateTime - Date formatted strings are parsed as DateTime. DateTime Offset - Date formatted strings are parsed as DateTimeOffset.
Date Time Zone Handling	Specifies how to treat time values converted between string and DateTime. Local - Treats the time as local (UTC times convert to local times.) UTC - Treats the time as UTC. This converts local time to UTC. Unspecified - Treats the time as local time if a DateTime is being converted to a string. If a string is being converted to DateTime, convert to a local time if a time zone is specified. RoundtripKind - Time zone is preserved when converting.
Float Parse Handling	Specifies how floating point numbers are parsed. Double - Floating point numbers are parsed as a double datatype. Decimal - Floating point numbers are parsed as a decimal datatype.

XML Format

Option	Description
Root XPath Query	XML queries can return multiple levels, therefore, this field Identifies the root to be used.
Namespaces:	Prefix - Identifies the prefix used in an xml namespace. Example: In the element \<SalesDetails xmlns:url="http://www.site.com"> the prefix is url. Uri - The url or address identified in the namespace.
Columns	Users can create, remove, and configure the name, index (zero-based), data type, length, precision, and scale of the columns being extracted from the file.

Output Columns

Users can select which columns to include/exclude in the output. Additionally, users can rename the columns by selecting into its corresponding output name.

Error Handling

Option	Description
Not Used	Error handling is not used and no error constraint is available.
Ignore Failure	All errors are ignored and the package continues to execute.
Redirect Row	All error rows are directed to an error output.
Fail Component	(Default selection) On error, the component fails and the package execution stops.

Preview

Select Preview Data after configuring the previous tabs to view an output sample.

Azure ML Destination

Destination Icon	Destination Description
	The Azure ML Destination is used to send data to a blob storage on Azure storage to be consumed by an Azure ML web service. This is the input file of the Azure ML batch execution task. See the Azure Storage Connection Manager to learn more about setting up the connection manager.

Function	Description
Storage Container	Identifies the container within Azure storage where the data is stored.
File Name	The name of the file in the Azure storage container.
Azure ML Service Metadata Url	The base web service URL with the bold parameters added to the base URL (e.g. https://ussouthcentral.services.azureml.net/odata/workspaces /3b47fa82350146aaa16a80d10ed01ba7/services/4171be6bcb584f20afa 396ab8590196c/$metadata.) To obtain the Url, users need to do the following in Azure ML Studio: Select the web service group. Select the Batch Execution URL in the default endpoint. Select the Request Uri up to the word "jobs" and copy (see screenshot below):
Output Options	This selection includes header columns in the output by default.
Refresh Metadata	Selecting this button updates the Input and Destination columns window (input and destination columns with the same names are auto-mapped.)

Azure Rest Destination

Target

Begin by creating a connection manager that connects to an Azure Storage container. After a connection manager is created, the source window populates with files and folders. Select the desired file to continue configuration. 

Option	Description
Target Item Name	Defines the name and extension of the file you would like to create when the component is executed. (For example: MyNewXmlList.xml)

Delimited Format

Option	Description
Delimiter	Identifies the character that separates text.
Quote	Identifies the character (single or double quote) that indicates value.
Include Header Row	Writes the column headers at the beginning of the document.
Encoding	Selects which encoding is used to create the document.
Culture	Used to identify the document's language culture.

Json Array Format

Option	Description
Generate	Select to automatically generate the Row Body metadata. Users can also add custom header and footer data.
Encoding	Select which encoding is used to create the document.
Culture	Used to identify the document's language culture.

XML Array Format

Option	Description
Generate	Select to automatically generate the Row Body metadata. Users can also add custom header and footer data.
Encoding	Select which encoding is used to create the document.
Culture	Used to identify the document's language culture.