KQL Query output limit of 5 lakh rows
Hi , i have a kusto table which has more than 5 lakh rows and i want to pull that into power bi. When i run the kql query it gives error due to the 5 lakh row limit but when i use set notruncation before the query then i do not get this row limit error on power bi desktop but get this error in power bi service after applying incremental refresh on that table. My question is that will set notruncation always work and i will not face any error further for millions of rows and is this the only limit or there are other limits on ADE due to which i may face error due to huge volume of data or i should export the data from kusto table to azure blob storage and pull the data from blob storage to power bi. Which will be the best way to do it?Filtering and visualizing Kusto data in local time
Datetime values in Kusto (aka Azure Data Explorer/ADX/KQL database in Fabric) are assume to be in UTC time. In many cases users want to filter the data and see the results using their local time. This article compares different approaches to achieve this result and do it in an efficient way. The Kusto engine includes some new optimizations in this area but still caution is recommended. KQL examples that can be run on test data and are included also a paragraph and an example on how to implement in Power BIWhy are 273 queries needed to refresh one chart in Power BI ?
A real case from the field in which a huge number of queries were send to an ADX database for refreshing a single visual. The reason was a wrong choice of storage modes for dimension tables. Alternative solutions are suggested at the bottom of the article.Near real time reports in PBI + Kusto
In some scenarios users want the PBI reports to refresh automatically without user interaction. It can be challenging for the PBI service and the Kusto backend to cope with a high volume of direct queries. In this article I'll suggest some ways to make the scenario pheasible.
