How to standardize the output of USQL












0














We have a requirement to standardize the output of USQL.
The USQL reads the JSON (source file) data and convert it to csv format.
The problem is that the number of columns we have for each row in csv is not the same because of missing data in the source. Sometimes the result set of USQL have a row in csv with "N" columns, another row is with "N+1" columns (cells). We would like to standardize the output, having the same number columns in csv for all the rows.
How do we achieve this? We don't have any control over source file data, we would need to do the standardization while processing.
Has anyone faced similar challenges and found a solution?










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  • What is the code you're using to do it? Please read this page: Minimal, Complete, and Verifiable example.
    – Pedro Gaspar
    Nov 23 '18 at 15:42










  • It would be great if your question contains some sample input and output data.
    – Peter Bons
    Nov 23 '18 at 18:49










  • Sorry for the trouble guys, Same question has been posted in a better way to understand here. stackoverflow.com/questions/53477783/…
    – Akhilesh Balakrishnan
    Nov 26 '18 at 9:14










  • You could have edited this one instead :-)
    – Peter Bons
    Nov 26 '18 at 9:17
















0














We have a requirement to standardize the output of USQL.
The USQL reads the JSON (source file) data and convert it to csv format.
The problem is that the number of columns we have for each row in csv is not the same because of missing data in the source. Sometimes the result set of USQL have a row in csv with "N" columns, another row is with "N+1" columns (cells). We would like to standardize the output, having the same number columns in csv for all the rows.
How do we achieve this? We don't have any control over source file data, we would need to do the standardization while processing.
Has anyone faced similar challenges and found a solution?










share|improve this question






















  • What is the code you're using to do it? Please read this page: Minimal, Complete, and Verifiable example.
    – Pedro Gaspar
    Nov 23 '18 at 15:42










  • It would be great if your question contains some sample input and output data.
    – Peter Bons
    Nov 23 '18 at 18:49










  • Sorry for the trouble guys, Same question has been posted in a better way to understand here. stackoverflow.com/questions/53477783/…
    – Akhilesh Balakrishnan
    Nov 26 '18 at 9:14










  • You could have edited this one instead :-)
    – Peter Bons
    Nov 26 '18 at 9:17














0












0








0







We have a requirement to standardize the output of USQL.
The USQL reads the JSON (source file) data and convert it to csv format.
The problem is that the number of columns we have for each row in csv is not the same because of missing data in the source. Sometimes the result set of USQL have a row in csv with "N" columns, another row is with "N+1" columns (cells). We would like to standardize the output, having the same number columns in csv for all the rows.
How do we achieve this? We don't have any control over source file data, we would need to do the standardization while processing.
Has anyone faced similar challenges and found a solution?










share|improve this question













We have a requirement to standardize the output of USQL.
The USQL reads the JSON (source file) data and convert it to csv format.
The problem is that the number of columns we have for each row in csv is not the same because of missing data in the source. Sometimes the result set of USQL have a row in csv with "N" columns, another row is with "N+1" columns (cells). We would like to standardize the output, having the same number columns in csv for all the rows.
How do we achieve this? We don't have any control over source file data, we would need to do the standardization while processing.
Has anyone faced similar challenges and found a solution?







json azure u-sql






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asked Nov 23 '18 at 15:38









Akhilesh Balakrishnan

167




167












  • What is the code you're using to do it? Please read this page: Minimal, Complete, and Verifiable example.
    – Pedro Gaspar
    Nov 23 '18 at 15:42










  • It would be great if your question contains some sample input and output data.
    – Peter Bons
    Nov 23 '18 at 18:49










  • Sorry for the trouble guys, Same question has been posted in a better way to understand here. stackoverflow.com/questions/53477783/…
    – Akhilesh Balakrishnan
    Nov 26 '18 at 9:14










  • You could have edited this one instead :-)
    – Peter Bons
    Nov 26 '18 at 9:17


















  • What is the code you're using to do it? Please read this page: Minimal, Complete, and Verifiable example.
    – Pedro Gaspar
    Nov 23 '18 at 15:42










  • It would be great if your question contains some sample input and output data.
    – Peter Bons
    Nov 23 '18 at 18:49










  • Sorry for the trouble guys, Same question has been posted in a better way to understand here. stackoverflow.com/questions/53477783/…
    – Akhilesh Balakrishnan
    Nov 26 '18 at 9:14










  • You could have edited this one instead :-)
    – Peter Bons
    Nov 26 '18 at 9:17
















What is the code you're using to do it? Please read this page: Minimal, Complete, and Verifiable example.
– Pedro Gaspar
Nov 23 '18 at 15:42




What is the code you're using to do it? Please read this page: Minimal, Complete, and Verifiable example.
– Pedro Gaspar
Nov 23 '18 at 15:42












It would be great if your question contains some sample input and output data.
– Peter Bons
Nov 23 '18 at 18:49




It would be great if your question contains some sample input and output data.
– Peter Bons
Nov 23 '18 at 18:49












Sorry for the trouble guys, Same question has been posted in a better way to understand here. stackoverflow.com/questions/53477783/…
– Akhilesh Balakrishnan
Nov 26 '18 at 9:14




Sorry for the trouble guys, Same question has been posted in a better way to understand here. stackoverflow.com/questions/53477783/…
– Akhilesh Balakrishnan
Nov 26 '18 at 9:14












You could have edited this one instead :-)
– Peter Bons
Nov 26 '18 at 9:17




You could have edited this one instead :-)
– Peter Bons
Nov 26 '18 at 9:17












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