Master Complex Patching in Power Apps
Power Apps
Apr 13, 2024 9:06 PM

Master Complex Patching in Power Apps

by HubSite 365 about Darren Neese (PowerApps Tutorial)

Power Apps Trainer at Neeseus

Citizen DeveloperPower AppsLearning Selection

Master Complex Patching in Power Apps: Strategies for Accuracy & Efficiency

Key insights


  • Use of Collections: Temporarily store data in collections to handle multiple data sources, reducing direct data source calls.
  • Transactional Processing: Simulate transactions in Power Apps by performing patches in sequence and manually rolling back if an error occurs.
  • Error Handling: Implement strong error handling using If and Error functions to manage errors in patching operations.
  • Concurrency Control: Use optimistic concurrency control, such as timestamp checks, to manage updates in multi-user environments.
  • Bulk Operations: Utilize Batch operations for bulk data manipulation to decrease API calls and enhance performance.

Complex Patching in Power Apps

Patching in Power Apps is crucial for creating or modifying records within various data sources, especially in intricate scenarios that incorporate multiple data sources or transaction-like procedures. Grasping how to efficiently manage these processes can markedly improve the app's performance and overall user satisfaction. Utilizing collections enables smoother handling of data from multiple sources by minimizing the need for direct interaction with these sources

Power Apps Patch Function

Understanding the Patch Function in Power Apps

What is the Patch Function?

The Patch function in Power Apps allows you to modify existing records or create new records in a data source. It provides more flexibility than basic form controls.

Key Use Cases

  • Creating New Records:
    Patch( DataSource, Defaults(DataSource), { Column1: Value1, ... }) 
  • Updating Existing Records:
    Patch( DataSource, RecordToUpdate, { Column1: NewValue, ... })
  • Complex Updates: Use 'If' statements or variables for advanced scenarios.
  • Merging Records (Local):
    Patch( Record1, Record2)


Updating inventory quantity in a SharePoint list:

        { Quantity: Gallery1.Selected.Quantity + 10 } 

Additional Notes

  • Patch returns the modified or created record.
  • Works with various data sources (SharePoint, Dataverse, etc.)
  • Incorporate error handling.


By simulating transactional processing, developers can ensure data integrity even without traditional database transactions. Proper error handling frameworks are vital in maintaining the stability of patch operations, while concurrency control mechanisms are necessary to prevent data conflicts in environments with several active users. Implementing bulk operations via Batch processes can significantly cut down on the number of required API calls, streamlining the app's performance. It is vital for developers to rigorously test apps in conditions that closely resemble their ultimate production environments, thus ensuring that all potential issues are addressed ahead of time.

Complex Patching in Power Apps deals with the intricate process of creating or modifying records in various data sources. This requires advanced strategies to maintain accuracy and integrity in transactional processes. Here, we explore some essential concepts and approaches for managing complex patching effectively.

Using collections is a vital strategy for dealing with multiple data sources. Collections help in temporarily storing and subseuqently manipulating data, minimizing the direct interactions with the data source. This approach is particularly useful in handling complex scenarios efficiently.

In the absence of traditional database transactions within Power Apps, simulating transactional behavior is possible. This involves performing patches sequentially and manually undoing changes if any operation fails. Such a technique ensures a level of transaction-like integrity.

Error handling is crucial in the patching process. By implementing rigorous error checks after each operation, using If and Error functions allows for intelligent decision-making. This is based on whether errors arise, enhancing the robustness of the patching operation.

Optimistic concurrency control techniques come into play when there is a risk of concurrent updates to data by multiple users. Including a timestamp column to verify data hasn't changed since its last access helps avoid potential conflicts, ensuring data coherence.

Bulk operations are recommended for scenarios requiring the manipulation of large data sets. Utilizing batch operations supported by the backend data source can reduce API calls, optimizing performance. This strategy is particularly beneficial for complex patching scenarios involving extensive data manipulation.

To effectively manage data in Power Apps, particularly in complex patching scenarios, it's crucial to strategically plan data manipulation. This entails implementing advanced strategies such as using collections for data management, simulating transactional processes, and ensuring robust error handling. Additionally, employing optimistic concurrency control and considering bulk operations can significantly enhance performance and user satisfaction. It is paramount to exhaustively test these strategies in environments that closely resemble production settings to address any potential issues.

Power Apps

Power Apps - Master Complex Patching in Power Apps: Multi-Source Guide


People also ask

Questions and Answers about Microsoft 365

"How do you Patch multiple items at once in PowerApps?"

To make updates to several records simultaneously in Power Apps, the ForAll function comes in handy by iterating over a collection of records. You can then utilize the Patch function on each record within this iteration. This combination of the Patch and ForAll functions facilitates efficient bulk updates in Power Apps.

"Can you have multiple data sources in power apps?"

Power Apps enables incorporating "connections" that serve to read and write data. Within these connections, access to various tables is provided, and these tables are integrated into your app as distinct data sources. Thus, you have the flexibility to choose which tables to include in your app, catering to multiple data sources.

"How do I bulk update data in PowerApps?"

To perform a bulk update of data in Power Apps, you simply engage the update collection function, which processes the selected employees for the update. This approach streamlines the bulk updating process in Power Apps.

"How many data sources can power apps connect to?"

In Power Apps, while there's no officially specified maximum limit for connectors or data sources within an app, it is advisable for optimal performance not to exceed 30 connections in a single app. This recommendation ensures that the app runs smoothly without compromising on performance.



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