Saturday, 30 June 2018

Power Apps Snack: Add confirmation to delete button

I generated an app with Microsoft PowerApps, but the delete button is missing a confirmation and deletes records a bit too easy. Is there an option to ask something like "are you sure?".
Need some delete confirmation

There is no out of the box option, but you could change the delete button action a little bit. In this example we will add two more hidden buttons (Confirm and Cancel). The Delete button will unhide these buttons. The Confirm will then do the actual delete and the Cancel will hide the buttons again.

1) Create variable
The first step is to create a Boolean variable for this screen that will be used to show or hide buttons. In the screens pane on the left side click on the screen with the Delete button. Then add the following expression in the OnVisible property: UpdateContext({isVisible: false}). Now you have a variable called isVisible.
Add screen variable with value 'false'

2) Add Confirmation and Cancel icons
Add two icons to your screen via the Insert ribbon. One for the Confirmation action and one for the delete. Also add a label above it with a text like "Are you sure?".
Add icons and label

3) Move delete code
Now Cut and Paste the OnSelect code from the Delete button to the Confirm button and change the Delete button code to UpdateContext({isVisible: true}). This will change the variable value from false to true.
Switch delete code

Add the following 'reverse' code to the OnSelect of the Cancel button: UpdateContext({isVisible: false}). This will change the variable value back from true to false.

4) Hide buttons and label
Since we don't want to show the icons when you haven't clicked on the delete button, we need to change the Visibily property of the two icons and the label. We will replace the default value 'true' to the isVisible variable.
Change Visibility

The intermediate result is a delete button with a confirmation.
Delete with confirmation

5) Disable other buttons
To finish it off we can disable the other buttons so that the user has to confirm or cancel the delete. To accomplish this we need to adjust an expression in the DisplayMode property of the Delete and Edit button. You need to add: && !isVisible to the if contruction. To make it a little more visable that the buttons are disabled you could change their disabled font color to grey.
Final adjustments

The result

In this post you learned how to add a confirmation visual to a delete button and learned how to add and use variables to change properties of items on your screen (because you cannot use code like: btnCancel.Visible = true).

The (value of the) variable is only usable on this screen. Other screens cannot use it. In a next post we will show you how to pass values from one screen to another screen.

Note that Microsoft PowerApps isn't part of Azure, but part of Office 365. However this tool could be very useful in Business Intelligence / Data Warehouse projects to replace manually created Excel / CSV source files with for example forecast data or simple lists that don't come from a source system. Users often 'accidentally' damage such files for example by adding or deleting columns. With PowerApps you can prevent that. An other great way to use Power Apps is within Power BI as an input form, but more about that in a next blog.

Monday, 4 June 2018

Execute Logic Apps in Azure Data Factory (V2)

In an earlier post, we showed you how to use Azure Logic Apps for extracting email attachments without programming skills. The attachments contain the source files. Because this step is part of an Data Warehouse solution, it would be nice to run this together with the ETL process that needs these source files. How can we archive this?

Azure Data Factory V2 - Execute Azure Logic App

In the first few years of Azure, it was not possible to run your Data Warehouse process entirely in the Cloud. Of course, you could store the data in Azure SQL Database or Azure SQL Data Warehouse (see here for the differences between these two), but when you are using SQL Server Integration Services (SSIS) you still had to run this on-premise or create a custom Virtual Machine. Until recently. This post explains how you can execute SQL Server Integration Services (SSIS) packages in Azure, using Azure Data Factory (ADF) V2.

Besides running SSIS packages in ADF V2, you can also execute other Azure services in here. For example: Azure Databricks, Azure Data Lake Analytics (U-SQL scripts) and HDInsight (services like Hadoop, Spark, Hive etc.).

This post shows you how to execute an Azure Logic App inside ADF V2.

1) Add and configure activity
Create a new pipeline or edit an existing one. Select "General" and choose the Web activity. Give it a suitable name and go to Settings. Fill in the URL, corresponding to the one inside the HTTP trigger in the Azure Logic App, you created earlier:

Azure Logic App - URL in HTTP Trigger

Select the "POST" API Method. Now add a Header and enter the following:
  • KEY: Content-Type
  • VALUE: application/json
When you are finished, click Publish All.

Azure Data Factory V2 - Configure Web Activity

2) Run pipeline
After you have published your pipeline, go to Trigger and select Trigger (Now). You can also run the pipeline without publishing it: using Debug. In this mode you will see the result of the pipeline run in the bottom at Output.

If you do not publish your pipeline, you are getting the following error when you are trying to use Trigger (Now):

Pipeline Error - Use Trigger (now) without publishing

If you do not publish your pipeline, you are getting the following warning when you want to access the monitor screen:

Pipeline Warning - Go to Monitor without publishing

3) Result
Once you have triggered the pipeline, go to Monitor on the left in the menu. Default it will open the Pipeline Runs overview, but you can also select the Integration Runtimes or Trigger Runs overview at the top.

You can also watch the Runs history of the Logic App:

View Result - Logic App run history

This post explains how you can manage other ETL, next to SSIS, in your Data Warehouse using one orchestrator. In this case we execute an Azure Logic App using Azure Data Factory (V2).

Click here to see how you can also execute a SSIS package using Azure Logic Apps.

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