Best way to select a large amount of data?

Question

Best way to select a large amount of data?

Viewing 4 posts - 31 through 33 (of 33 total)

You must be logged in to reply to this topic. Login to reply

ricardo_chicas SSCertifiable Points: 5024 More actions · Answer 1

Hello all

actually all I did was to reate a loop that read the data 10000 records at the time, that allow me to use one of the main indexes so it was much faster than a single select, ( specially since I was creating really big logs because of that...)

Do you need me to post some code?

Jeff Moden SSC Guru Points: 1004414 More actions · Answer 2

ricardo_chicas (4/23/2012)
Hello all
actually all I did was to reate a loop that read the data 10000 records at the time, that allow me to use one of the main indexes so it was much faster than a single select, ( specially since I was creating really big logs because of that...)
Do you need me to post some code?

If you can make the time, it would be helpful to others who may read this thread. There's nothing like getting such a solution straight from the horse's mouth. Thanks.

--Jeff Moden

RBAR is pronounced "ree-bar" and is a "Modenism" for Row-By-Agonizing-Row.
First step towards the paradigm shift of writing Set Based code:
________Stop thinking about what you want to do to a ROW... think, instead, of what you want to do to a COLUMN.

Change is inevitable... Change for the better is not.

Helpful Links:
How to post code problems
How to Post Performance Problems
Create a Tally Function (fnTally)

huishi.ca SSChasing Mays Points: 600 More actions · Answer 3

hi ricardo, have you utilized Waitfor Delay to try to avoid concurrency locking issue?

We are a BIG DATA company as well and have similar requests pulling data from large volumns of data.

Cheers

Hui

TheSQLGuru SSC Guru Points: 134017 More actions · Answer 4

ricardo_chicas (4/23/2012)
Hello all
actually all I did was to reate a loop that read the data 10000 records at the time, that allow me to use one of the main indexes so it was much faster than a single select, ( specially since I was creating really big logs because of that...)
Do you need me to post some code?

This is a VERY common mechanism to process (select or delete) large volumes of data. A thousand 10K-row-index-seek-bookmark-lookup hits can be WAY faster, with less memory used, locking, etc. than trying to access 10M rows at once with what could be massive hash joins that wind up spilling to tempdb.

Best,
Kevin G. Boles
SQL Server Consultant
SQL MVP 2007-2012
TheSQLGuru on googles mail service