WillianPatrick / SyncXLSParse

.NET C# console application for import sheets from XLS and XLSX files from parametrized directory path to Parse Server Platform (Back4App) for transcript to tables, columns headers and cells rows. Tests performed with spreadsheets containing over 600,000 rows, average processing time of 80 rows per second multiplied by upload rate. Example: 80 x 10mb (upload) = 800 lines per second. Notes: I'm not considering the processing limits of the client or server hardware, which can be higher or lower depending on the case, this information is just the averages I got from my experience in testing in developer mode! Thanks ;)

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SyncXLSParse

.NET C# console application for import sheets from XLS and XLSX files from parametrized directory path to Parse Server Platform (Back4App) for transcript to tables, columns headers and cells rows.


Tests performed with spreadsheets containing over 600,000 rows, average processing time of 80 rows per second multiplied by upload rate. Example: 80 x 10mb (upload) = 800 lines per second.

Notes: I'm not considering the processing limits of the client or server hardware, which can be higher or lower depending on the case, this information is just the averages I got from my experience in testing in developer mode! Thanks ;)


Usage: SyncXLSParse.exe -ApplicationId "Application ID" -Server "https://parseapi.back4app.com/" -Key ".NET KEY" -username "Name User Registred" -password "***" -XlsSyncFolderPath "Full path directory" -RowsBuffer 2000
Parameters:

  • -ApplicationId : string
  • -Server : string
  • -Key : string
  • -username : string
  • -password : string
  • -XlsSyncFolderPath : string
  • -RowsBuffer : integer

Notes: This aplication version only increment data on Parse database, for update or delete necessary manual actions on parse dashboard.

About

.NET C# console application for import sheets from XLS and XLSX files from parametrized directory path to Parse Server Platform (Back4App) for transcript to tables, columns headers and cells rows. Tests performed with spreadsheets containing over 600,000 rows, average processing time of 80 rows per second multiplied by upload rate. Example: 80 x 10mb (upload) = 800 lines per second. Notes: I'm not considering the processing limits of the client or server hardware, which can be higher or lower depending on the case, this information is just the averages I got from my experience in testing in developer mode! Thanks ;)

License:MIT License


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Language:C# 100.0%