Can you post the concerned piece of code?
Barry.
-----Original Message-----
From: [email protected] [mailto:[EMAIL PROTECTED] On Behalf Of Maverick
Sent: Thursday, 5 January 2006 3:55 PM
To: [email protected]
Subject: Re: [development-axapta] Performance Issue
Thanks Jacob,
In the case of ttscommit:
What if runtime memory gets full and still updates have to be done....Since I think that updates are done in run time memory.
Maverick
----- Original Message -----
From: Jacob Hjelmer Nielsen
To: [email protected]
Sent: Wednesday, January 04, 2006 7:47 PM
Subject: RE: [development-axapta] Performance Issue
Hi
Regarding recordset operations:
Note that this only works if no code exist on the insert/update events methods on the table, otherwise it will fall back to the traditional 1 by 1 insertion/update.
However this can be bypassed by using the skipDataMethods() method -but careful now you must be 100% sure on what you're doing.
Alternatively, you could try using the recordInsertList, this is actually documented in \System Documentation\Classes\RecordInsertList
ttsCommit
Should be called after the last update,
Client/server:
Make sure that your code is running on the server, thus eliminating cross-tier calls.
Primary Index:
I assume you have a primary index!
Cluster Index:
When used, this is often your primary index.
If your primary key's values are consecutive the data is handled ok - however if the values assigned to the primary key are not consecutive every insert will cause the database to reorganize data for optimal fetch of the records afterwards.
If the problem persists, you should tell us a bit more about the environment.
Med venlig hilsen/Best regards
Jacob Hjelmer
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________________________________
From: [email protected] [mailto:[EMAIL PROTECTED] On Behalf Of Dilip N
Sent: 4. januar 2006 13:39
To: [email protected]
Subject: Re: [development-axapta] Performance Issue
Maverick:
Try using INSERT_RECORDSET / UPDATE_RECORDSET..This will speed up the operation.
Good luck
Regards,
Dilip
Maverick <[EMAIL PROTECTED]> wrote:
Hi All,
I have some code which is processing thousands of update on the table. This process is doing all the updates on one table. Updates consists of inserting new record and updation of a record.
The process consist of a loop, doing updation on a table on every record conditionally. And this is done several times. And table consists of million of records.
What are the ways to optimize the process. Please do tell me all the points to be taken care in the CODE,TABLE and in the SQL.
Like:
When should TTSCOMMIT be done. If it is done after every update it will take too much time. And if it is after thousands of update, it takes runtime memory.
What about Index, should it be primary OR cluster.
What properties of SQL Server should be set for better updation.
If you would like to put light on any other point, it willl be very helpful.
Thanks
Maverick
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