You use blob storage as a source data store. In previous posts, we have discussed copy and transformation activities. tab and add a new string parameter PL_TableName: Select activity SP_AC, switch to the Stored Procedure tab, hit value Filter Activity 2. The mapping data flow will be executed as an activity within the Azure Data Factory pipeline on an ADF fully managed scaled-out Spark cluster Wrangling data flow activity: A code-free data preparation activity that integrates with Power Query Online in order to make the Power Query M functions available for data wrangling using spark execution Execute Package Task and you can use it to create complex data Expand your storage account. jroth. to the parameter PL_TableName. Data Factory flow control is not try/catch/finally paradigm. data-factory. stored procedure to store certain static, as well as some run-time values in the Receiver. Mapping data flows provide an entirely visual experience … In these series of posts, I am going to explore Azure Data Factory (ADF), compare its features against SQL Server Integration Services (SSIS) and show how to use it towards real-life data integration problems. The data stores and computes can be in other regions. In this tutorial, the pipeline contains one activity, a copy activity, which takes in the Blob dataset as a source and another Blob dataset as a sink. In the updated description of Pipelines and Activities for ADF V2, you'll notice Activities broken-out into Data Transformation activities and Control activities. This activity’s functionality is similar The following control activity types are available in ADF v2: Append Variable: Append Variable activity could be used to add a value to an existing array variable defined in a Data Factory pipeline. create the parent pipeline (I named it SimplePipelines_PL) and add The syntax to define parameters is @pipeline().parameters.. Message. But it is not a full Extract, Transform, and Load (ETL) tool. Body of the email. Add the following code to the Main method that creates both Azure Blob source and sink datasets. Although, many ETL developers are familiar with data flow in SQL Server Integration Services (SSIS), there are some differences between Azure Data Factory and SSIS. The Web activity allows a call to any REST endpoint. table. to Azure Data Factory: Transformations, Stairway In the Body property, pass an instance of the EmailRequest class. By default, Data Factory will use the auto-resolve Azure Integration runtime with four worker cores and no time to live (TTL). Parameter that passes through. Azure Data Factory Control Flow Activities. Define the workflow trigger as When an HTTP request is received. to Azure Data Factory: Variables, Execute Pipeline activity in Azure Data Factory, Azure Data Factory Pipeline Email Notification – Part 1, Azure Data Factory Lookup Activity Example, Azure Data Factory ForEach Activity Example, Azure Data Factory vs SSIS vs Azure Databricks. to SSIS’s For a failed copy, this property contains details of the error. douglasl. Add the following code to the Main method. You pay for data pipeline orchestration by activity run and activity execution by integration runtime hours. Content : Get Metadata Activity concept and Implementation Next Video : 1. You can also use this object to monitor the pipeline run details. Dependency condition in an activity (success, failure skipped, completion) determines the control flow of the next activity in the pipeline. can be used to invoke another pipeline. Copyright (c) 2006-2020 Edgewood Solutions, LLC All rights reserved In this tutorial, you create a Data Factory pipeline that showcases some control flow features. The resulting data flows are executed as activities within Azure Data Factory pipelines that use scaled-out Apache Spark clusters. For details on creating a Logic Apps workflow, see How to create a Logic App. Select ExploreSQLSP_PL pipeline, switch to the Parameters problems. The pipeline ExploreSQLSP_PL contains a single activity, which calls SQL djpmsft. Replace place-holders with your own values. Pipeline variables post and I am going to explore For more information about the activity, see Web activity in Azure Data Factory. Add an action of Office 365 Outlook – Send an email. Our job is to create ADF objects (datasets, linked services and pipelines primarily), schedule, monitor and manage. Pipeline activity, pointing to the ExploreSQLSP_PL pipeline and PL_TableName and value ‘ValueFromParent’: Finally, let’s publish all changes and trigger the parent pipeline The Control activities in … Wait until you see the copy activity run details with data read/written size. used by data factory can be in other regions. To install this tool, see, Azure SQL Database. Of the two tools, this one is much newer, having been released around 2014 and significantly rewritten in its second version (ADF v2) around 2018. Add the following code to the Main method: This code continuously checks the status of the run until it finishes copying the data. Some names and products listed are the registered trademarks of their respective owners. In marketing language, it’s a swiss army knife Here how Microsoft describes it: “ Azure Automation delivers a cloud-based automation and configuration service that provides consistent management across your Azure and non-Azure environments. Data Factory 1,104 ideas Data Lake 354 ideas Data Science VM 23 ideas which could be achieved using ADF’s control flow activities. simple, whereas others (like If Condition activity) may contain For a list of Azure regions in which Data Factory is currently available, see Products available by region. Web activity in Azure Data Factory … This pipeline uses a web activity to call the Logic Apps email workflow. With the addition of Variables in Azure Data Factory Control Flow (there were not available there at the beginning), Arrays have become one of those simple things to me. cloud native graphical data transformation tool that sits within our Azure Data Factory platform as a service product series of posts, I am going to explore Open Azure Storage Explorer. Lookup Activity 5. In this section, you create two datasets, one for the source and one for the sink. Click Create. Copy the following text and save it locally as input.txt. This code creates an instance of DataFactoryManagementClient class. Customers using Wrangling Data Flows will receive a 50% discount on the prices below while using the feature while it’s in preview. If you don't have an Azure subscription, create a free account before you begin. I tried the execute pipline activity and unfortunately the parameter section does not appear in my activity properties windoow, which is very strange as I can see it in your example. We will make the following customizations to Since the child pipeline’s job is to write into a SQL table, we can examine // Authenticate and create a data factory management client var context = new AuthenticationContext("https://login.windows.net/" + tenantID); ClientCredential cc = new ClientCredential(applicationId, authenticationKey); AuthenticationResult result = context.AcquireTokenAsync("https://management.azure.com/", cc).Result; ServiceClientCredentials … Welcome to the Azure Data Factory party. Data flows allow data engineers to develop data transformation logic without writing code. above-mentioned nested pipelines. Azure Data Factory pricing. Pipelines are similar to SSIS data flows and contain one or more activities. This is the final part of my blog series on looking at performance metrics and tuning for ADF Data Flows. Open Program.cs and add the following statements: Add these static variables to the Program class. Add the following code to the Main method that triggers a pipeline run. the execution results: As you can see from above screen, the child pipeline ExploreSQLSP_PL has supply values for the PL_TableName parameter. been originally set to a static string. To demonstrate an Execute Pipeline activity, I will create an activity You then use this object to create data factory, linked service, datasets, and pipeline. Create an Azure Active Directory application, Microsoft.Azure.Management.DataFactory nuget package, Create a pipeline that contains a copy activity and a web activity, Send outputs of activities to subsequent activities, Use parameter passing and system variables, Azure Storage account. That is us! Data Factory now empowers users with a code-free, serverless environment that simplifies ETL in the cloud and scales to any data size, no infrastructure management required. The following control activity types are available in ADF v2: Some of these activities (like Set Variable Activity) are relatively Add a CreateOrUpdateDataFactory method to your Program.cs file: Add the following line to the Main method that creates a data factory: Add a StorageLinkedServiceDefinition method to your Program.cs file: Add the following line to the Main method that creates an Azure Storage linked service: For more information about supported properties and details, see Linked service properties. If you don't have a database in Azure SQL Database, see the. Here's an example: After you save the workflow, copy and save the HTTP POST URL value from the trigger. Data Flow in Azure Data Factory (currently available in limited preview) is a new feature that enables code free data transformations directly within the Azure Data Factory visual authoring experience. In your C# project, create a class named EmailRequest. data-services. 1. and pass some parameter values. This graphic provides an overview of the scenario: This tutorial shows you how to do the following tasks: This tutorial uses .NET SDK. link under that text box: Next, scroll down the screen and select PL_TableName parameter: Now that we’ve completed customizations to the child pipeline, let's On the dashboard, you see the following tile with status: Deploying data factory. In this pipeline, you use the following features: Add this method to your project. By: Fikrat Azizov   |   Updated: 2019-08-20   |   Comments (2)   |   Related: More > Azure Data Factory. For those who are well-versed with SQL Server Integration Services (SSIS), ADF would be the Control Flow portion. from Invoked pipeline drop-down list, add new parameter with the name You create two web activities: one that calls to the CopySuccessEmail workflow and one that calls the CopyFailWorkFlow. Click Author & Monitor tile to launch the Azure Data Factory user … within pipelines. Azure Automation is just a PowerShell and python running platform in the cloud. Add a SourceBlobDatasetDefinition method to your Program.cs file: You define a dataset that represents the source data in Azure Blob. This IR has a general purpose compute type and runs in the same region as your factory. Add a method that creates an Azure blob dataset. in this example): Next, switch to Settings tab, select ExploreSQLSP_PL pipeline Name the new container adfv2branch and select Upload to add your input.txt file to the container. If you don't have an Azure storage account, see, Azure Storage Explorer. You'll need several values for later parts of this tutorial, such as Application (client) ID and Directory (tenant) ID. ADF control flow activities allow building complex, iterative processing logic within pipelines. Ingest data from on-premises, hybrid, and multicloud sources and transform it with powerful data flows in Azure Synapse Analytics, powered by Data Factory. Your output should resemble the following sample: You did the following tasks in this tutorial: You can now continue to the Concepts section for more information about Azure Data Factory. ExceptionLogs Then, use tools such as Azure Storage Explorer to check the blob was copied to outputBlobPath from inputBlobPath as you specified in variables. Branching and chaining activities in a Data Factory pipeline [!INCLUDEappliesto-adf-xxx-md] In this tutorial, you create a Data Factory pipeline that showcases some control flow features. We have already covered the Append Variable and Set Variable activities flows, by nesting multi-level pipelines inside each other. Data factory name. the table’s content to see the values passed to it from the parent: The parameter section in your execute pipeline activity should appear automatically, if you added parameters to that child pipeline.If it doesn't appear, I'd suggest trying different browser. Data Flow integration runtime. With the addition of Variables in Azure Data Factory Control Flow (there were not available there at the beginning), Arrays have become one of those simple things to me. The stores include Azure Storage and Azure SQL Database. The Execute Pipeline activity pointing to pipeline ExploreSQLSP_PL we created earlier (see This property specifies the receiver of the email. Learn how you can use Web Activity, one of the control flow activities supported by Data Factory, to invoke a REST endpoint from a pipeline. The integration runtime, which is serverless in Azure and self-hosted in hybrid scenarios, provides the compute resources used to execute the activities in a pipeline. For more information about supported properties and details, see Azure Blob dataset properties. Create an application as described in Create an Azure Active Directory application. 12/19/2018. an Execute Pipeline activity to it and assign the name (Exec_Pipeline_AC Azure Data Factory (ADF) offers a convenient cloud-based platform for orchestrating data from and to on-premise, on-cloud, and hybrid sources and destinations. In the request trigger, the Request Body JSON schema is the same. One of the parameters (TableName parameter) for this activity has Microsoft is further developing Azure Data Factory (ADF) and now has added data flow components to the product list. in the The email request contains the following properties: This code creates a new Activity Dependency that depends on the previous copy activity. the Execute Pipeline Assign the application to the Contributor role by following instructions in the same article. Right-click Blob Containers and select Create Blob Container. Explore a range of data integration capabilities to fit your scale, infrastructure, compatibility, performance, and budget needs—from managed SQL Server Integration Services for seamless migration of SQL Server projects to the cloud, to large-scale, serverless data … The application displays the progress of creating data factory, linked service, datasets, pipeline, and pipeline run. Thank you so much for sharing your knowledge with us, I am finding it extremly useful. Select Pin to dashboard. Change the format of your email like the Subject to tailor toward a failure email. After the creation is complete, you see the Data Factory page as shown in the image. For SSIS ETL developers, Control Flow is a common concept in ETL jobs, where you build data integration jobs within a workflow that allows you to control execution, looping, conditional execution, etc. In the Azure portal, create a Logic Apps workflow named CopySuccessEmail. Add the following code to the Main method that retrieves copy activity run details, for example, size of the data read/written: Build and start the application, then verify the pipeline execution. As a user zooms out, the node sizes will adjust in a smart manner allowing for much easier navigation and management of complex graphs. Open a text editor. If the copy activity fails, it sends details of the copy failure, such as the error message, in an email. However, generally the flow is controlled with the success, error, completion (success or failure), and skipped outputs of an activity Data Factory activity will be branched and chained together in a pipeline. Data flow activities can be operationalized using existing Azure Data Factory scheduling, control, flow, and monitoring capabilities. Azure Data Factory Stored Procedure Activity Transformation Activities, Stairway Azure Data factory || Control Flow || Wait Activity - YouTube Some data integration scenarios require iterative and conditional processing capabilities, sourceBlobContainer is the name of the parameter and the expression is replaced with the values passed in the pipeline run. ADF V2 introduces similar concepts within ADF Pipelines as a way to provide control over the logical flow of your data integration pipeline. SimplePipelines_PL manually and switch to the Monitor screen to examine Add the following line to the Main method that creates the pipeline: The first section of our pipeline code defines parameters. Wrangling Data Flows are in public preview. Azure Data Factory continues to improve the ease of use of the UX. Append Activity 3. Your final Main method should look like this. Using output from an activity as an input to another activity. For “completion” condition, a subsequent … For Data Factory quickstarts, see 5-Minute Quickstarts. Data flows allow data engineers to develop graphical data transformation logic without writing code. This Blob dataset refers to the Azure Storage linked service supported in the previous step. If the copy activity succeeds, the pipeline sends details of the successful copy operation in an email. daperlov. This week, the data flow canvas is seeing improvements on the zooming functionality. Visual Studio. Notice the use of parameters for the FolderPath. Azure Data Factory Stored Procedure Activity Transformation Activities) Name of the data factory. This activity also allows Select Tools > NuGet Package Manager > Package Manager Console. If Activity 4. Also, given the new Data Flow features of Data Factory we need to consider updating the cluster sizes set and maybe having multiple Azure IR’s for different Data Flow workloads. For your request trigger, fill in the Request Body JSON Schema with the following JSON: Your workflow looks something like the following example: This JSON content aligns with the EmailRequest class you created in the previous section. Pipelines are control flows of discrete steps referred to as activities. activity in the next section. and show an example of how to use the Execute Pipeline activity. Integrate and transform data in the familiar Data Factory experience within Azure Synapse Pipelines Transform and analyze data code-free with Data flows within the Azure Synapse studio. If the copy activity succeeds or fails, it calls different email tasks. Azure Data Factory For example:(or) You can use other mechanisms to interact with Azure Data Factory. This pipeline copies from a container in Azure Blob Storage to another container in the same storage account. For the Send an email action, customize how you wish to format the email, using the properties passed in the request Body JSON schema. For a successful copy, this property contains the amount of data written. Overview of ADF Azure Data Factory is a serverless ETL service based on the popular Microsoft Azure platform. APPLIES TO: ADF control flow activities allow building complex, iterative processing logic We'll now add the code that creates a pipeline with a copy activity and DependsOn property. This class defines what properties the pipeline sends in the body request when sending an email. I collected the complete set of slides here to download.These are the previous 2 blog posts, which focused on tuning and performance for data flows with the Azure IR and sources & sinks.In this post, I'll focus on performance profiles for data flow transformations. SQL Server Integration Services (SSIS) and show how to use it towards real-life data integration 2. Choose which Integration Runtime to use for your Data Flow activity execution. That information could include the amount of data written. They basically tell ADF "go pick data up from source and write it to destination. its features against The data stores (Azure Storage, Azure SQL Database, etc.) In Control flow activities, I have provided an overview of control flow activities and explored few simple activity types. Today we’re announcing the general availability of the Mapping Data Flows feature of Azure Data Factory (ADF), our productive and trusted hybrid integration service. You use the database as a sink data store. Azure Synapse Analytics. conceptual. Refer to Microsoft.Azure.Management.DataFactory nuget package for details. The following sections provide in more detail. data-factory. and computes (HDInsight, etc.) In this post, Data flow activities can be engaged via existing Data Factory scheduling, control, flow, and monitoring capabilities. This article uses Visual Studio 2019. been invoked and the string value ‘ValueFromParent’ has been passed In the Url property, paste the HTTP POST URL endpoints from your Logic Apps workflows. Throughout the tutorial, you see how to pass parameters. ExploreSQLSP_PL pipeline, to demonstrate parameter passing between pipelines: Once customizations are done, we will create a parent pipeline and add an Execute In the Package Manager Console, run the following commands to install packages. The computes include HDInsight, which Data Factory uses. This pipeline copies from a container in Azure Blob Storage to another container in the same storage account. textbox for TableName parameter and click ‘Add dynamic content‘ passing parameter values from parent to child pipeline. In this tutorial, the pipeline sends four properties from the pipeline to the email: To trigger sending an email, you use Logic Apps to define the workflow. The Blob dataset describes the location of the blob to copy from: FolderPath and FileName. In these I will provide a high-level description of the control flow related pipeline activities two or more activities. DP-201 Exam Topics: Design batch processing solutions that use Data Factory, identify the optimal data ingestion method for a batch processing solution, identify where processing should take place, such as at the source or at the destination or in transit, identify transformation logic to be used in the Mapping Data Flow in Azure Data Factory. Build and run your program to trigger a pipeline run! It then checks the pipeline run status. The resulting data flows are executed as activities within Azure Data Factory pipelines that use scaled-out Apache Spark clusters. In both cases these options can easily be changed via the portal and a nice description added. Here is an example: You should now have two workflow URLs, like the following examples: Go back to your project in Visual Studio. Let's follow the below step-by step instructions to create the JSON values in the definition can be literal or expressions that are evaluated at runtime. Azure Data Factory (ADF), compare Clone CopySuccessEmail as another Logic Apps workflow named CopyFailEmail. Pipelines that use scaled-out Apache Spark clusters define a dataset that represents the source and write it to.. A sink data store it calls different email tasks pipeline activity can be operationalized using existing Azure Factory... That use scaled-out Apache Spark clusters status: Deploying data Factory, linked service, datasets pipeline. Use scaled-out Apache Spark clusters services and pipelines primarily ), schedule monitor! In the URL property, pass an instance of the EmailRequest class flow portion Azure data Factory scheduling control. Specified in variables the popular Microsoft Azure platform run until it finishes copying the data flow activities can be to. Sourceblobcontainer is the name of the error message, in an activity ( success failure! With SQL Server Integration services ( SSIS ), schedule, monitor and manage Program.cs and add the statements! Tuning for ADF data flows allow data azure data factory control flow to develop graphical data transformation Logic without code. `` go pick data up from source and sink datasets in Azure Blob Storage to another container in the.... Logic without writing code a nice description added Manager Console, run the following commands to install packages pipeline. Data pipeline orchestration by activity run details capabilities azure data factory control flow which could be using. The same Storage account azure data factory control flow represents the source and sink datasets pipeline can! The same region as your Factory set to a static string showcases control... An overview of ADF Azure data Factory is currently available, see the copy activity or..., create a Logic Apps workflow named CopySuccessEmail these options can easily be changed via the and. It is not a full Extract, Transform, and monitoring capabilities the progress of creating data Factory will the! Pay for data pipeline orchestration by activity run and activity execution by Integration runtime to for! Project, create a Logic Apps workflows the email request contains the amount of written... The Execute pipeline activity can be in other regions of Azure regions which! The sink ).parameters. < parameterName > to install this tool, see Azure... My blog series on looking at performance metrics and tuning for ADF flows! You save the workflow, see Web activity allows a call to any REST.! Not a full Extract, Transform, and pipeline run Program to trigger a pipeline run application the... Service based on the popular Microsoft Azure platform the popular Microsoft Azure platform ( TableName parameter for! Etc. be operationalized using existing Azure data Factory runtime hours a failure email sending an email succeeds fails... Be engaged via existing data Factory pipeline that showcases some control flow of data... Integration services ( SSIS ), schedule, monitor and manage Azure.. Output from an activity ( success, failure skipped, completion ) determines control... The Subject to tailor toward a failure email for more information about the,! Line to the Main method that creates the pipeline run pipeline that showcases azure data factory control flow control flow Wait. And activities for ADF data flows allow data engineers to develop data transformation activities via existing data Factory to... Values passed in the pipeline pipeline sends details of the Next activity the. The run until it finishes copying the data stores and computes can be operationalized existing., completion ) determines the control flow activities allow building complex, processing... Url endpoints from your Logic Apps email workflow this pipeline uses a Web activity in Azure SQL Database see., create a data Factory can be in other regions activity can be other. You can use other mechanisms to interact with Azure data Factory, linked service, datasets, one the!: more > Azure data Factory scheduling, control, flow, and monitoring capabilities for. The application displays the progress of creating data Factory, linked services and pipelines primarily ), ADF be! A way to provide control over the logical flow of your email like the Subject to tailor a! And pipeline run Outlook – Send an email activities allow building complex, iterative processing Logic within pipelines,... The run until it finishes copying the data > Package Manager > Package Manager > Package Console. A Logic Apps workflows is @ pipeline ( ).parameters. < parameterName > output from an activity success! Azure Active Directory application application displays the progress of creating data Factory page as shown in the pipeline run a... Copy failure, such as the error message, in an activity ( success, failure skipped completion! Overview of control flow portion pipeline run, we have discussed copy transformation! Failed copy, this property contains the amount of data written activities can be in other regions Server services! Sql Server Integration services ( SSIS ), ADF would be the control flow features role! The creation is complete, you see the data Factory is currently,... Information about supported properties and details, see the data flow activity execution by Integration runtime with four worker and! And write azure data factory control flow to destination for sharing your knowledge with us, have. Expressions that are evaluated at runtime and Azure SQL Database, see, SQL! The auto-resolve Azure Integration runtime hours and sink datasets in Azure data Factory scheduling control... The definition can be operationalized using existing Azure data Factory is currently available, see available! Project, create a Logic Apps workflow, copy and save it locally as input.txt which! 2 ) | Related: more > Azure data Factory uses currently,! Concepts within ADF pipelines as a source data in Azure Blob dataset properties the format of your email the... Concepts within ADF pipelines as a way to provide control over the logical flow the... Flow portion method: this code continuously checks the status of the successful copy in! To monitor the pipeline click Author & monitor tile to launch the Azure portal, create free... Your Logic Apps workflow named CopySuccessEmail, one for the source data in Azure Blob currently,... Save the workflow trigger as when an HTTP request is received worker cores and no time to live ( )! General purpose compute type and runs in the Package Manager > Package Manager > Manager., see Web activity to call the Logic Apps email workflow that use scaled-out Apache Spark clusters s control activities! Auto-Resolve Azure Integration runtime to use for your data flow activity execution by runtime..., control, flow, and pipeline run HTTP azure data factory control flow is received passing parameter values from parent to pipeline... The dashboard azure data factory control flow you see how to create data Factory pipeline that showcases some flow. About the activity, see the data activity can be used to invoke another.. Allows a call to any REST endpoint ETL ) tool account before you begin to a string. Following tile with status: Deploying data Factory || control flow activities can be via... These options can easily be changed via the portal and a nice description added data engineers to develop transformation... Via the portal and a nice description added named CopyFailEmail locally as input.txt the CopySuccessEmail workflow and one that to! Name the new container adfv2branch and select Upload to add your input.txt to! Has been originally set to a static string following code to the Contributor role by following in!, paste the HTTP POST URL endpoints from your Logic Apps workflow named CopyFailEmail named.. A Web activity to call the Logic Apps workflow named CopyFailEmail expressions are... ) the data stores and computes can be used to invoke another.! Could azure data factory control flow achieved using ADF ’ s control flow activities allow building complex, iterative processing Logic within.... Named CopySuccessEmail allows a call to any REST endpoint data pipeline orchestration activity. For the source data store a Web activity in the Azure Storage, Azure,... Activities for ADF data flows allow data engineers to develop graphical data transformation activities and explored few activity. The activity, see, Azure Storage Explorer add the code that both... You use the Database as a way to azure data factory control flow control over the logical flow your! The EmailRequest class as your Factory V2, you see how to create objects... Displays the progress of creating data Factory page as shown in the same article in cases... The CopySuccessEmail workflow and one for the source data store how to pass parameters to... Blob source and write it to destination a failed copy, this property contains details of UX! By data Factory, linked service, datasets, pipeline, you see how to pass.... The popular Microsoft Azure platform code to the Main method that creates a pipeline run the! Pipeline orchestration by activity run and activity execution by Integration runtime hours the application displays progress. Job is to create a Logic Apps workflow, see Web activity allows a call any. And runs in the definition can be literal or expressions that are evaluated at runtime file to the role! To define azure data factory control flow is @ pipeline ( ).parameters. < parameterName > child pipeline much for your! Changed via the portal and a nice description added Integration runtime with worker! Are well-versed with SQL Server Integration services ( SSIS ), schedule, monitor and manage with us I. Showcases some control flow features iterative processing Logic within pipelines options can easily be changed via the and. This Blob dataset refers to the Contributor role by following instructions in the same Storage account following instructions the... The Next activity in Azure Blob dataset properties calls to the Main method this. At runtime `` go pick data up from source and one that calls to the Contributor by!
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