Just a quick blog post about an error I recently encountered when trying to create a mobile report for SSRS 2016, using the Mobile Report Publisher. I created the following query on top of the Wide World Importers data warehouse:
SELECT c.[City] ,c.[State Province] ,c.[Country] ,c.[Sales Territory] ,c.[Region] ,c.[Subregion] ,c.[Location] ,[Latitude] = c.[Location].Lat ,[Longitude] = c.[Location].Long ,u.[Customer] ,u.[Category] ,u.[Buying Group] ,[Order Date] = [Order Date Key] ,[Picked Date] = [Picked Date Key] ,e.[Employee] ,[WWI Order ID] ,[Package] ,[Quantity] ,[Unit Price] ,[Tax Rate] ,[Total Excluding Tax] ,[Tax Amount] ,[Total Including Tax] FROM [Fact].[Order] f JOIN [Dimension].[City] c ON f.[City Key] = c.[City Key] JOIN [Dimension].[Customer] u ON f.[Customer Key] = u.[Customer Key] JOIN [Dimension].[Employee] e ON f.[Salesperson Key] = e.[Employee Key] WHERE [Order Date Key] >= '2016-01-01' AND [Order Date Key] <= '2016-12-31';
I created a shared dataset and stored it on the report server. Then I tried to create a new mobile report using this dataset. I was quickly greeted with the following error:
The error message “The JSON SharedDataSet Table renderer cannot parse the supplied report” doesn’t exactly tell you what’s going on. Apparently it is having issues with the Location column, which is of the geography data type. If you remove it, the dataset will be imported in the mobile report editor. There’s no documentation of which data types are supported or not in the mobile reports. I included the column in the first place to find out if the Mobile Report Publisher could handle it and plot the data on a map. It seems not.
You can find the slides for my session Building the €100 data warehouse with the…
Disclaimer: this post is not sponsored by Redgate :) For those who've missed it, the…
In the blog post Call a Fabric REST API from Azure Data Factory I explained…
I recently had a new pipeline fail. It was actually a copy of an old…
Suppose you want to call a certain Microsoft Fabric REST API endpoint from Azure Data…
I’m doing a little series on some of the nice features/capabilities in Snowflake (the cloud data warehouse).…