Also check whether you are sorting by a field that makes postgres load
all the data and sort it in memory before it can page anything.

Cheers,
Anne.

On 25 October 2011 05:01, BJ Freeman <[email protected]> wrote:
> You have two issues, the caching in Postgres which is memory based and
> ofbiz caching of the recordset that is returned.
> I suggest you look at the number of instances of Postgres for the
> instance of ofbiz and the total memory available on the bos you are
> running on.
> also look at the indexing of the data you are searching on.
>
> Foo Shyn Chung sent the following on 10/24/2011 3:39 AM:
>> I'm using Postgres as the database, i think it should support cursor fine.
>> Anyway the reason i'm asking this is that the client is facing load time
>> issue when they try to search out large amount of data. Although the result
>> is segregated by paging, it seems like it is still affecting the memory
>> usage. Hence i'm trying to figure out what's the problem.
>>
>> A lot of thanks for any comments or advice.
>>
>> Thank you
>> FooShyn
>>
>> On Wed, Oct 12, 2011 at 12:18 AM, BJ Freeman <[email protected]> wrote:
>>
>>> are you using an entity OTTB?
>>> Some DB will not handle Cursors.
>>>
>>> Foo Shyn Chung sent the following on 10/6/2011 12:48 AM:
>>>> Hi guys,
>>>>
>>>> Would like to ask what is the mechanism used in Ofbiz for multi page
>>>> listing?
>>>>
>>>> Currently we have a live site whereby the listing would resulted in a few
>>>> thousands rows being returned and displayed on multiple page on the
>>> screen.
>>>> We found that once the data amount hit a certain amount, the performance
>>> of
>>>> that page will become very slow.
>>>>
>>>> For listing, is Ofbiz will load up all the results in the memory, then
>>> only
>>>> segregate them into multiple page? or they only will load the data when
>>> the
>>>> user is viewing the page (i.e. when the user click next page, then the
>>> data
>>>> for the next page is loaded).
>>>>
>>>> Not sure whether anyone has encountered this before?
>>>>
>>>> Thank you
>>>> FooShyn
>>>>
>>>
>>
>



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