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LeGoat
Helper I
Helper I

DataSource.Error we couldn't parse OData response result.

Error.PNG

I'm trying to sync this website to my power bi data, it loads the first 1,000 rows but when I scroll to the 1,000th row this error comes up. There should be a total of around 1,500 rows showing. Please help I do not know what to do in order to fix this. 

7 REPLIES 7
Anonymous
Not applicable

@LeGoat 
Power BI desktop does cache the OData schema, and power bi cannot disable it for now. Try the workaround solution Clear Cache . Please refer to this post,  
https://community.powerbi.com/t5/Desktop/OData-issue-in-PowerBI-and-Excel-2016/td-p/291960


Paul Zheng _ Community Support Team
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

I don't get how to fix it by doing the clear cache? Could you do a show and tell for me. 

 

After I loaded my data the error popped up so I went to File --> Options and Settings --> Options --> Data load --> and then clicked on clear cache under management options and Q&A cache options but it did not do anything? 

 

@Anonymous 

Hi @LeGoat ,

 

What happens when you remove "_id" column? Does the error still persist?

 

Thanks,

Pragati

Best Regards,

Pragati Jain


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I tried that and it still gives the same error 

@Pragati11 

amitchandak
Super User
Super User

@LeGoat , has some column that has been removed or renamed at the source.

If yes. Open edit query/data transformation mode. and Right-click on the table and open Advance editor and and correct the changes

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Pragati11
Super User
Super User

Hi @LeGoat ,

 

Can you share sceenshot of your data likw what columns it has got?

The error looks to me more like DATATYPE error in one of the columns.

 

Thanks.

Pragati

Best Regards,

Pragati Jain


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LinkedIn | Twitter | Blog YouTube 

Did I answer your question? Mark my post as a solution! This will help others on the forum!

Appreciate your Kudos!!

Proud to be a Super User!!

Here are some pictures that show all the colums in my data. I'm thinking it might be because of that first column labeled "__id". I'm not sure where that colum is coming from because on the website that is not one of the columns.  @Pragati11 @amitchandak 

 

1.PNG2.PNG

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