Starting December 3, join live sessions with database experts and the Microsoft product team to learn just how easy it is to get started
Learn moreGet certified in Microsoft Fabric—for free! For a limited time, get a free DP-600 exam voucher to use by the end of 2024. Register now
Dataset exceeds the time out in either Refresh Schedule or Refresh Now(By the way the shedule history marked it as completed after another refresh start). Any suggestions for the timeout issues?
Use PowerBI gateway-Personal
data source: Microsoft SQL Server (SqlClient)
Authentication method: Windows
Do you get any error messages?
Yeah. The error messages as follows. Do I need change to enterprise gateway?
The refresh operation failed because it took more than 120 minutes to complete. Consider reducing the size of your dataset or breaking it up into smaller datasets.
Cluster URI: | DF-MSIT-SCUS-redirect.analysis.windows.net |
Activity ID: | 7678fe84-3b02-49c3-9ff1-67963b1e6359 |
Request ID: | 8e3975fc-f3f9-a4ee-1804-19ca5449ca84 |
Time: | 2016-07-15 04:47:30 |
This sounds more like an issue with your dataset than the gateway.
Where is the gateway software installed? Are both the SQL database and personal gateway on your own machine?
If so, then Personal Gateway should be fine.
If you have a SQL server and multiple people are viewing the reports in Power BI, then Enterprise is more suited.
How many tables are in your data set?
How many rows are in your largest table?
How many columns are in your largest table?
It might be that you need to do some optimisation first, either by entering a SQL query to only bring in required data, or to create an optimsed data warehouse.
I've worked with quite large databases with a number of years of data that take maybe 40 minutes to refresh, so 120 minutes I think is unusual.
Regards,
Ian
The SQL Server is not in my machine but in the redmond machine and of course multiple people are viewing the reports in Power BI.
So I need use Enterprise right? How to use Enterprise to connect?
We have 50 tables. The largest have 6563357 rows and 30 columns.
We do some filter in Advance Editor, is it will impact the speed?
You probably are better using the Enterprise Gateway but I think this won't help with your performance issue.
It might be worth creating a view in SQL and then just connecting to that view rather than using the advanced editor.
Also, another consideration is if you have done additional modeling using the Query Editor. If you have added additional steps here, this could be cuasing performance issues.
Yeah. We want replace a lot of colunm name to another name and filter some colunm in PowerBI, we don't want it change in the SQL Sever (because some other powerbi use the same data), other than write it in advanced editor, any other ways to do this?
My advice would be to not do anything in Power Query/Query Editor other than selecting your data source.
Do all you modelling using DAX.
I've seen this issue multiple times. As soon as you add steps to Query Editor, the performance just tanks.
DAX is the way to go.
Hi is this still an issue?
We are having real problems with data refreshes failing on certain pbix files that are generally more complex in that they use the query editor to stick disparate data sources together (SQL and SSAS) using merge.
Worringly these do take the longest to refresh when it does refresh and when it fails we get messages like this below.
[DM.Pipeline.Common] Non-gateway exception encountered in activity scope: System.ServiceModel.CommunicationException: The socket connection was aborted. This could be caused by an error processing your message or a receive timeout being exceeded by the remote host, or an underlying network resource issue. Local socket timeout was '00:01:00'.
It is a very handy tool to merge data but it looks like it comes at a pretty high cost.
Starting December 3, join live sessions with database experts and the Fabric product team to learn just how easy it is to get started.
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early Bird pricing ends December 9th.
User | Count |
---|---|
24 | |
13 | |
12 | |
11 | |
8 |
User | Count |
---|---|
42 | |
25 | |
14 | |
14 | |
12 |