How do I handle large dataset exports in Power BI when the row limit exceeds 150 000

Question

How do I handle large dataset exports in Power BI when the row limit exceeds 150,000?
I need to export a large dataset from Power BI, but the default export limit of 150,000 rows is causing issues. The goal is to extract the full dataset while maintaining accuracy and structure. What are the best techniques using Power BI Service, Paginated Reports, or external workarounds to bypass this row limit and enable large-scale data exports?

score 0 · Answer 1 · Mar 19

Here are some approaches to tackle large dataset exports from Power BI when row limits exceed the 150,000-row limit.

1. Unrestricted Exporting with Power BI Paginated Reports

Power BI Paginated Reports allow for exporting large datasets with no restriction on rows. Use Power BI Report Builder to create a paginated report connected to your dataset. Filters or parameters can be applied to control load sizes and permit exporting to CSV, XLS, or PDF without limits.

2. Chunking Data using DAX Measures

Create a calculated column that will segment data in some way (e.g., batch numbers). Use slicers to export data in lesser chunks that fit into the maximum row limit of 150,000. Take out each batch separately and compile it outside Power BI.

3. Exporting Data via Power Automate

Create a Power Automate flow that extracts data from Power BI and sends it to SharePoint, SQL, or OneDrive. Use the "Run a query against a dataset" action to extract considerable datasets in batches.

4. Using Direct Query to External Store

Store large datasets in Azure Synapse, SQL Server, or Dataverse and query that data in Power BI using Direct Query mode. Export from the source system instead of Power BI.

5. Use R or Python within Power BI

R or Python can be used to pull data in batches within Power BI and export them in CSV format or Excel. Ensure the processing of the dataset is optimized to avoid performance bottlenecks.