on 03-29-2015 8:44 PM
Not sure if this could be sped up but when trying to read a marketing document with about 30 lines it takes up to 2 minutes while one with one line takes 5 seconds. To write to document like this takes even more time we can expect about 5 minutes. And when we convert a sales order to an invoice it could take 30 minutes.
Hi Jonathan,
First of all check database size.
Database installation drive free size. Specs of server.
Remove all FMS and Stop Add on if you have any to check performance issue.
Archive old unnecessary data.
The scenario you are saying is completely unacceptable and it reduced productivity. So it must be priority to solve.
Regards,
Chintan
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The database is 10 gig. I have removed all but one addon on the server side. I have ran the data archive wizard and removed any entries not linked to anything. I manage to save 100 MBs of space but by law we are required to have 7 fiscal years of records ready and I don't want to archive the database to recent years as an audit is a timely process to go through manual records when SAP offers a good portion of the information at my finger tips.
Your server spec, and how many users you have?
Frank
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We have 10 users on average. We are a wholesaler/distributor. Our business model was setup for the original B1 setup as a video store. Due to changes in the market the volume of transaction has increased with lower profit per unit. The server is a DELL box from 2007 that we only used in 2008. We had upgrade the disk drives several times. Now we are running on SAS 15K drives in a raid 10 configuration. We have setup the current system where the C drive is 250 gig the D drive to 1 TB (2 sets of 15K drives) and our original drive now denoted as Q for back up.
The Box is a PE 2900. The OS is windows server 2003 R2 and sql server 2005. we are running in a 32 bit environment. the server only has 4 gigs of RAM. We have 2 XEON cpus at 3 Ghz.
Please check this. This is what i mentioned earlier, it is called Physical address extension.
https://technet.microsoft.com/en-us/library/ms175581(v=sql.90).aspx
Frank
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