Press "Enter" to skip to content

Partitioned Compute with Fabric Dataflows Gen2

Chris Webb continues to test out Fabric Dataflow Gen2 performance:

In the first part of this series I showed how the Concurrency setting in a Fabric Dataflows Gen2 can affect refresh performance when there are multiple queries inside the dataflow. In this post I will show how, with Partitioned Compute, this setting can also affect the performance of a single query within a dataflow.

To test this I created a dataflow with one query, a modified version of the query that I used in this post from earlier this year which returns a table with ten rows and calls a function with a built-in delay of 60 seconds on each row.

This is a preview feature but Chris shows a simple but effective test to demonstrate how this capability works.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.