Optimize SharePoint & Dataverse: Power Automate Queries
Power Automate
Feb 15, 2024 6:00 AM

Optimize SharePoint & Dataverse: Power Automate Queries

by HubSite 365 about Paul Murana [MVP]

Streamlining systems and processes using the Microsoft Power Platform. Microsoft Business Applications MVP.

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Boost SharePoint & Dataverse efficiency with expert Power Automate data query tips!

Key insights


Efficient Data Queries & Pagination for SharePoint & Dataverse with Power Automate: This segment emphasizes the inefficiency of default actions like "Get Items" for SharePoint and "List Rows" for Dataverse due to excessive metadata return. It suggests using HTTP requests for direct querying, helping in performance improvement by reducing data overhead.

  • Improving Performance with HTTP Requests: Direct HTTP requests to SharePoint and Dataverse can significantly enhance performance by minimizing unnecessary data retrieval, offering a more streamlined way to manage large volumes of data.

  • Utilizing Pagination: The video details the benefits of integrating pagination with HTTP methods, which contributes to more efficient performance, particularly when dealing with extensive list or data row actions.

  • Batch Requests: SharePoint's REST service supports combining multiple requests into a single call using the OData $batch query option, allowing for more efficient data handling and reduced server load.

  • Manipulating List Items: Specific examples are provided on creating, updating, and deleting list items through REST APIs, showcasing flexibility in managing SharePoint list items programmatically.

  • Advanced List Data Retrieval: The text outlines methods for retrieving detailed list data, including the utilization of various query string parameters and understanding the importance of ETag values for version control in data manipulation.


Efficient Data Management in SharePoint and Dataverse

Efficient data management within SharePoint and Dataverse is crucial for organizations looking to optimize their workflows and reduce unnecessary workload on servers. By leveraging direct HTTP requests and understanding the intricacies of SharePoint’s REST service, developers can significantly improve the performance of their applications. Understanding how to use pagination effectively, batch requests, and handling list items through REST APIs are key aspects of this optimization.

Efficient Data Queries & Pagination for SharePoint & Dataverse with Power Automate In this video, I look at why the default "Get Items" action for SharePoint and "List Rows" action for Dataverse might not be the most efficient choice due to the excessive metadata they return. Learn through how to bypass this by directly querying these data sources using HTTP requests, significantly improving performance by reducing unnecessary data overhead.

By using direct HTTP requests to SharePoint and Dataverse, the video demonstrates performance enhancements in data retrieval operations. The ability to paginate results with the HTTP method adds to the efficiency, allowing for more controlled data fetching and better overall performance when dealing with large lists and datasets.

The SharePoint Online REST service supports combining multiple requests into a single call using the OData $batch query option, which is beneficial for optimizing performance and minimizing the number of requests sent. Additional tips on retrieving specific list properties and creating or updating list items using REST are also highlighted, guiding users on efficient list management.


Understanding Power Automate with SharePoint and Dataverse

Power Automate is an essential tool for automating workflow between your favorite apps and services, including SharePoint and Dataverse. It enables users to automate repetitive tasks without coding, significantly improving productivity and efficiency. When working with SharePoint and Dataverse, it offers a versatile platform for managing and manipulating data across different environments. With its easy-to-use flow creation interface, users can set up workflows for data entry, updates, notifications, and more, ensuring seamless data synchronization and management.

Power Automate's integration with SharePoint allows for the automation of document handling and list management processes, providing a more effective way to manage site content. For Dataverse, it streamlines the interaction with and analysis of complex datasets, making it invaluable for data-driven decision-making. Its capability to improve data query performance through direct HTTP requests and pagination enhances data processing speeds and system responsiveness.

This tutorial also touches on working with lists and list items using REST, emphasizing the versatility of the SharePoint Online REST service. It covers retrieving and managing lists, creating and updating list items, and advanced querying features. These practices are crucial for developers looking to leverage SharePoint’s RESTful APIs for efficient list and data manipulation.

  • Introduction to efficient querying in SharePoint and Dataverse.
  • Performance comparison between traditional methods and HTTP requests.
  • Using pagination to manage data more effectively.
  • Overview of working with lists and list items using REST.
  • Using the $batch query option for multiple requests in a single call.

Power Automate - Optimize SharePoint & Dataverse: Power Automate Queries


Read the full article Efficient Data Queries & Pagination for SharePoint & Dataverse with Power Automate


People also ask

What makes a query efficient?

To achieve an efficient query, the primary objective is to ensure that only necessary records are fetched from the database. According to the SQL Order of Operations, HAVING clauses are executed subsequent to WHERE clauses. Therefore, utilizing a WHERE clause for filtering based on specific conditions offers improved efficiency.

How can I query data faster?

A fundamental approach to expedite query execution is by minimizing the volume of data fetched and processed. This optimization can be achieved through the application of the LIMIT clause to control the number of rows returned, or the WHERE clause to exclude rows that do not meet the defined criteria.

What is used to improve performance of queries on the tables?

The enhancement of SQL query performance, known as SQL tuning, plays a crucial role in boosting server efficiency. The overarching goal of SQL tuning is to diminish the response time for a user to obtain results after submitting a query and to lower the resources consumed during query execution.

How can I retrieve data from database faster?

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