Skip to content

Integration in Azure Data Factory using Webservices

The following article describes a scenario that uses Azure Data Factory (ADF) to trigger and automate SAP data movements using Xtract Universal's webservices.
This article targets customers that utilize ADF as a platform for orchestrating data movement and transformation.

Note

The depicted scenario is no best practice or recommendation. The following is a suggestion of how an orchestration of Xtract Universal extractions from ADF can look like, see also Integration in Azure Data Factory using Commandline.

Prerequisites

  • A self-hosted Integration runtime is set up on the server Xtract Universal runs on. This ensures that Xtract Universal's web server is accessible from ADF over http(s).
  • The extraction uses a push-destination, e.g., Azure Blob Storage or Azure SQL Server.
  • The extraction runs successfully when called from a web browser, see Web-API.
  • Access to Azure Data Factory.
  • Knowledge on how to build ADF pipelines.

Basic Principles

The depicted scenario builds upon the following basic principles:

  • Xtract Universal offers a Web-API through which various actions can be performed via http(s) calls. The depicted scenario uses the web API to:
  • Microsoft's self-hosted Integration runtime enables access to on-prem resources, such as Xtract Universal, from ADF.
  • Microsoft's ADF offers a Web Activity that allows calling resources via http(s) and a self-hosted Integration runtime.

The depicted scenario uses two ADF pipelines to run extractions from ADF:

Child Pipeline

Follow the steps below to create a child pipeline that extracts data from SAP:

  1. Run an extraction using a web activity , see Web-API - Run Extractions.
    XU_ADF_global_parameter
  2. Query the extraction status in regular intervals using a web activity , see Web-API - Get Status of an Extraction.
    XU_ADF_global_parameter
  3. Add a condition that checks the extraction status and executes follow up activities in case the extractions fails.
    Example: When the extraction fails, use a web activity to query the extraction log, see Web-API - Get Extraction Logs, and write the logs to an Azure Blob Storage account. A follow up event can then be triggered by the Storage event, e.g., sending a notification email.
    XU_ADF_global_parameter

The pipeline functions as a standalone solution. It can be run in debug mode or can be triggered via a scheduler.

Master Pipeline

Follow the steps below to create a master pipeline that executes the child pipeline multiple times, each time for a different extraction. This allows automatic iteration through all extractions defined in Xtract Universal.

  1. Query a list of extractions using a web activity, see Web-API - Get Extraction Details.
    XU_ADF_global_parameter
  2. Loop over the list of extractions .
  3. In the loop, pass the name of the current extraction to the Child pipeline and execute the Child pipeline for that extraction.
    XU_ADF_global_parameter

Variables and Parameters

Parameters and variables are used in both pipelines:

  • Parameters provide constant values that are used in multiple activities.
  • Variables provide dynamic values at runtime and are used to pass on data between different activities or pipelines.

The following parameters and variables are used in the depicted scenario:

Parameter / Variable Name Data Type Defined in Description
Parameter p_global_XU_HOST String global This parameter contains the base URL of the Xtract Universal webserver, here: https://MyOnPremXuServer.theobald.local:8165. The parameter is used in every Web Activity.
Variable v_XU_extractions_array Array Master pipeline This variable stores the list of XU extractions returned by Web activity Get_List_of_XU_extractions. The variable's value is set in the Set variable activity Set variable_extraction array.
Parameter p_extractionName_from_Master String Child pipeline This parameter takes on the value (extraction name) of the current iteration For Each activity *ForEach extraction in v_extraction array. As a default name, you assign a name of an extraction. This allows running the Child pipeline w/o being triggered from the Master pipeline.
Variable v_TIMESTAMP String Child pipeline This variable stores the extraction's timestamp returned by Web activity XU_START_JOB. The variable’s value is set in the Set variable activity TIMESTAMP. The variable is later used in Web activities CHECK_XU_JOB_STATUS and XU_Get_Extraction_Log.
Variable v_JOB_STATUS String Child pipeline This variable stores the extraction's run status returned by Web activityCHECK_XU_JOB_STATUS. The variable’s value is set in the Set variable activity JOB_STATUS. As long as the variable has the status "Running", the Until activity IS_JOB_RUNNING is executed. Other values this variable can can have are "FinishedNoErrors" and "FinishedErrors".
Variable v_Log String Child pipeline This variable stores the extraction's log returned by Web activityXU_Get_Extraction_Log. The variable’s value is set in the Set variable activity Set_variable_XU_Log. The value of this variable is appended to the log file in the Copy data activity Copy Extraction Log to Blob.

For more information on variables in ADF, see Call Dynamic Extractions with Variables in ADF.

Download JSON Templates

Downloads for the child and master pipeline are provided below:

Download CHILD pipeline as json Download MASTER pipeline as json



Last update: October 20, 2024
Written by: Yogen Weinreich, Valerie Schipka