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Database actions - PAD

  POWER AUTOMATE DESKTOP - DATABASE Pre-Requisites Power Automate Desktop Access to database  Under the database action, we have only three sub actions, namely: Open SQL connection Execute SQL statement  Close SQL connection Open SQL Connection The first step is to connect to the database. So, we will use the Open SQL connection action and provide a connection string to establish the connection (the connection string in the video is a sample). When the connection is successful, the connection details is stored in a variable during execution. Execute SQL statement This action can be used to execute SQL queries. Here, I am using select query and the result is stored in a variable of type datatable. Close SQL connection It is a best practice to always close the database connection once the required queries are executed. YAY! BONUS!😮 How to execute a stored procedure using database action? Stored Procedure without arguments Stored Procedure with arguments (Comma separated incase of many a
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Cloud Flow - Add a new row to Dataverse

 ADD A NEW ROW TO DATAVERSE TABLE - POWER AUTOMATE FLOW




Hey Guys! Previously, I showed you how to add a new data row into a Dataverse table using Canvas App, if you missed or wish to review it, here's a link to it 👉Pizza Table (Canvas App)👈

In this one, we learn how to add a row to the same table using an Instant Cloud Flow.



PRE-REQUISITE

  • Login to Power Automate
  • I will be using the Pizza Table which I created earlier, it must be available in the Dataverse. If you have not done this already, please use this link to create it 👉Pizza Table. As an alternative, you may also choose to use any other table from Dataverse.

STEP 1: Create a new Instant Cloud flow which can be triggered manually.
STEP 2: Add a new step to Add a new Row in Microsoft Dataverse.

Add a new row



STEP 3: Search and choose Pizzas table.

Choose Table - Dataverse



STEP 4: Click on Show Advanced Options and add the values shown in the screenshot below.

Add details - Dataverse



STEP 5: Save the flow and Test it!


Once the flow has run successfully, we have to check if that data is added in the table.

Navigate to Data>Tables.


 
Search and select "Pizza" table.
Table - Dataverse



Click on Data tab and check if the data added by the flow is available in the table.
Data in Dataverse

Yay!👌 The flow worked cuz the data is available in the Pizza Table.



Please leave a comment if you have any questions & I will get back.

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Blog Contents

 CONTENTS Click on the links below, to conveniently navigate throughout this blog! Happy Learning!👻 Section 1: Microsoft Power Platform What is Power Platform? Login to Power Platform Types of Power Apps Add User to Power Platform Section 2: Microsoft Power Automate Build flows using Templates Types of PA Flows Trigger flows from a button click in mobile app Types of variables in PA Flow Management Add Data To Dataverse Using A Flow Get Current Date/Time Apply To Each Do Until Text Functions Length of String/Array Round Up Switch Condition/Control Using the Dataverse connector in flow Section 3: Microsoft Dataverse What is Microsoft Dataverse? Create a Dataverse table Section 4: Canvas App Quickly create Canvas App with Dataverse as source Get started with Canvas app editor Variables in Canvas App Set ( ) - PowerApps Navigate & Back - PowerApps Gallery Control Using Formula in Canvas App Filter A Gallery Browsing through a gallery Lookup Function Currently Logged In User Details
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Input/Output Variables - PAD

POWER AUTOMATE DESKTOP - INPUT & OUTPUT VARIABLES An input variable is used to send values into the desktop flow. An output variable is used to send back values from where the desktop flow was triggered. Learn how to use these. Pre-Requisite Power Automate Desktop should be installed in your PC. An account must be available in Power Platform. Step 1: Create a new flow. Step 2: Add actions you wish to add. Step 3: Create Input Variables and Use the Input Variables in the actions. Step 4: Create an output variable and assigned the result to output variable. Step 5: Calling this desktop flow in another desktop flow. Step 6: Calling this desktop flow from Cloud flow and seeing how to utilize this variables. Test Cloud Flow: Please leave a comment if you have any queries.
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