This might help speed things up a bit ...

Firstly, of course, is your file properly sized?

Secondly, (and in this case you will need to run the SELECT / DELETE
sequence several times) try putting a SAMPLE 1000 (or whatever number
makes sense) at the end of your select.

Basically, this will mean that the SELECT runs until it finds that
number of records and then stops. So each sequence won't load the system
so badly. Creating a huge select list will stress your ram badly ...
looping through this sequence won't stress the system so badly, though
you really do need to use indices to reduce the stress even more ...

Create an index on various fields that you're using as your select
criteria. If you're selecting old records, then you need to select on
date, and this really will make life both easy and fast. The more
closely you can guarantee that a select, acting on a single index, will
pick up only or mostly records that you are going to delete, the better.
That will SERIOUSLY reduce the time taken and the performance hit.

Cheers,
Wol

-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of ashish ratna
Sent: 15 March 2004 08:25
To: [EMAIL PROTECTED]
Subject: Help Needed regarding performance improvement of delete query

Hi All,
 
We are working for purging of old data from the database. But we are
facing performance problems in this.
 
We are using select query which is created dynamically on the basis of
number of records. We want to know if there is any limit for size of
query in Universe.
 
Although in universe help pdf it is mentioned that there is no limit for
the length of select query. But when we run the program on the file with
records more than 0.5 million it gave the error-
 
"Pid 14433 received a SIGSEGV for stack growth failure. Possible causes:
insufficient memory or swap space, or stack size exceeded maxssiz. 

Memory fault(coredump)"

If there is no limitation on the size of query then please suggest some
other possible solution which can help us reducing the time of query and
completing the process successfully without giving the error.

Thanks in advance.

Regards,

Ashish.





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