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11-09-2023
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11-10-2023
10:52 PM
Dear @SAMSAL , I extend my sincere appreciation for your invaluable insights and guidance on the query. Your expertise has been instrumental in implementing the first method, and I'm grateful for your prompt and effective assistance. Regarding the second method you suggested, it's working seamlessly for our current requirements. However, I'm curious about its applicability to scenarios where a file contains data that requires splitting and segregation. For Instance, consider the input JohnCena32 Male New York USA813668 And the desired JSON output: { "firstname": "John", "lastname": "Cena", "age": 32, "gender": "Male", "city": "New York", "country": "USA", "mobile": 813668 } Could you please shed light on whether the second method remains effective in handling data structures like this? Thank you once again for your time and expertise.
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11-10-2023
10:34 PM
@VidyaSargur Thank you for the warm welcome! I appreciate being a part of this community.
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11-09-2023
09:23 PM
I have an input fixed width file as below John 32 M New York 100 I want to convert it in to a Json like below { "Name": "John", "Age": 32, "Gender": "M", "City": "New York", "Country": 100 }
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