Quickest update methods
See original GitHub issueI am using this API in a chunk of software for automated testing and uploading resulting data to a spreadsheet to share.
I am noticing some lag on uploads and I can easily work around it, but I want to make sure I am not doing it wrong or there is a much quicker way. Essentially I am updating a cell at a time. The row can change often so I figured it would be easier to go by row number over cell name like “A1”.
workSheet.update_cell(conInfo[0],1,time.strftime("%Y-%m-%d %H:%M:%S", conInfo[1]))
workSheet.update_cell(conInfo[0],2,conInfo[2])
workSheet.update_cell(conInfo[0],3,conInfo[3])
workSheet.update_cell(conInfo[0],4,conInfo[4])
Issue Analytics
- State:
- Created 10 years ago
- Reactions:1
- Comments:11 (4 by maintainers)
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Yes, this is many times faster, even with needing to get the objects first from the spreadsheet.
I included a chunk of my code just in case it helps others. Basically I have a queue of value that needs to get uploaded. One gets pulled off, I get the cell objects for that row, update the values from the from the queue tuple, and then upload the cell list.
Hi Travis,
If I get it right, you’re doing a bulk cells update and in this case the
Worksheet.update_cells
can be much faster.It works this way:
It is faster because there’s only one Google API call in case of
update_cells
(contrary to one API call for eachupdate_cell
call). Since Spreadsheets API is not very swift, the less API calls you make the faster it goes.