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Editorial Team
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Asked: 2026-05-29T04:04:26+00:00

i am running a stored procedure to delete data from two tables: delete from

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i am running a stored procedure to delete data from two tables:

delete from TESTING_testresults
from TESTING_testresults
inner join TESTING_QuickLabDump
on TESTING_QuickLabDump.quicklabdumpid = TESTING_TestResults.quicklabdumpid
where TESTING_quicklabdump.[Specimen ID]=@specimen



delete from TESTING_QuickLabDump
from TESTING_Quicklabdump
where [specimen id]=@specimen

one table is 60m rows and the other is about 2m rows

the procedure takes about 3 seconds to run.

is there any way i can speed this up? perhaps using EXISTS?

meaning IF EXISTS...THEN DELETE – because the delete should not be occurring every single time

something like this

if @specimen exists in TESTING_QuickLabDump then do the procedure with the two deletes

thank you !!!

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1 Answer

  1. Editorial Team

    For a table with 60 mil rows I would definitely look into partitioning the data horizontally and/or vertically. If it’s time-sensitive data then you ought to be able to move old data into a history table. That’s usually the first and most obvious thing people do so I would imagine if that were a possibility you would have already done it.

    If there are many columns then it would definitely benefit you to denormalize the data into multiple tables. If you did this, I would suggest renaming the tables and creating a view of all the partitioned tables named after the original table. Doing that should ensure existing code isn’t broken.

    If you ‘really’ want to fine tune the speed then you should look into getting a faster hard drive and learn a little about hard drives work. Whether the data is stored towards the inner or outer section of the hd will affect speed of access slightly for example. And solid state hard drives have come a long way so you might look into getting one of those.

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