Unfortunately there's nothing that either we or you can do to improve the
response speed from Google Spreadsheets. I can't imagine that this is a
consistent issue for everyone (I got ~350ms for your spreadsheet), and it
probably varies from day to day. Are there a lot of user complaints about
it being slow? Or is this from testing on your own? Have you tried
different computers with different internet connections?

- Sergey


On Thu, May 16, 2013 at 10:47 AM, Romain Vialard
<[email protected]>wrote:

> Indeed. We use a spreadsheet primarily because it's easy to update. We
> can't have a static database.
>
>
> On Thursday, May 16, 2013 4:01:02 PM UTC+2, [email protected] wrote:
>>
>> I also ran into the same problem. I've started to put all my data
>> directly into my code rather than querying my Google Spreadsheet. It cuts a
>> few seconds off. But definitely not the ideal solution.
>>
>> On Thursday, May 16, 2013 5:22:42 AM UTC-4, Romain Vialard wrote:
>>>
>>> Hi,
>>>
>>> We use the Google Visualization API to display a table along with some
>>> filters (like in this 
>>> example<https://sites.google.com/site/scriptsexamples/available-web-apps/awesome-tables/people-directory>
>>> ).
>>>
>>>
>>>
>>> <https://lh4.googleusercontent.com/-gplvtDjIoMc/UZSiNVGmDGI/AAAAAAAAEk4/y9qtdj6zrEY/s1600/Screen+Shot+2013-05-16+at+11.05.20+AM.png>
>>>
>>> The data is stored in a Google Spreadsheet and we use a query to fetch
>>> it. But this ss contains a lot of data and Google is slow to answer, even
>>> if we query only a small subset of the data (we usually have to wait 6 to 8
>>> seconds before the spreadsheet begins to answer)
>>>
>>>
>>> <https://lh4.googleusercontent.com/-I6h77oTo9gs/UZSkN1to9jI/AAAAAAAAElI/DfbjiwU_Ph0/s1600/Screen+Shot+2013-05-16+at+11.17.15+AM.png>
>>>
>>> Is there a way to improve that? Or is there any plan to increase those
>>> perfs on Google side ?
>>>
>>>
>>>
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