Re: best paging strategies for large datasets?

On 5/13/2010 4:41 AM, silly sad wrote:
>
>>> First u count(*) the rows and select a requested page
>>> returning to a client the count result bundled "with a page of rows"
>>>
>>> (1) client renders the acquired rows
>>> (2)__memorize__ what part of the data he just got
>>> (3) and stores the count result to calculate "the pager div"
>>>
>>> all the subsequent clicks on "the pager div" should not immediately
>>> generate requests and decides if the request is needed.
>>
>> Yes, rendering the results throught ajax is a good idea, but one has to
>> be careful not to expose one's LIMIT and OFFSET to the client, but only
>> the "page" number. Or else the client could query the whole data set. A
>> lot of "professional" web site have that hole.
>>
>
> this is not a hole, it is only a matter of aesthetic
>
Silly Sad is right this is not a hole but a matter of aesthetics.  To 
keep the code simple and limit the amount of things that have to be 
tracked with client session on the server,  I pass the limit and offset 
to the client normally in a url/link.  This also solves the problem if 
the users sessions expires, the information is lost meaning the user has 
to restart.  Very annoying.

So the urls look something like this   
www.mywebsit.com/index.php?module=getthedata&limit=10&offset=30&orderby=5

On the server  set the these three data types to integer to block sql 
injection.

I really don't care if the user sends a command to get all 10,000 
records.  If you block that, all that been accomplished is slowing down 
data harvesting and eating up even more resources, as the client/user 
will send ever more GETs to harvest data.  Nothing has been accomplished.

to keep the casual on looker for screwing with the url encode in 
base64.  It keeps honest people honest but the hackers will pull that 
apart in a second.

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