the data will be normallized but for each session it could be 1000 rows
thanks
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temp table vs added and deleting rows
Hello,
I am looking for some insigt.
I have a web application that via a query is going to populate a table.
when finished the data will be thrown away.
first i was thinking of temp tables, but from what i can tell the table will be dropped as soon as the dbsession is dropped which will not for for me since i am using database pooling so the sessions really never drop and each time the user goes to a new page thier session is the same but they will get a different DB session.
So what i am wondering is it better to create a table and when the users session dies , the appication deletes the table, or is it better to have a table where i just insert and delete rows
thanks for any insight
Randy
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Answers
Taking the database's session management into the application is bound to cause you headaches. Instead, use the idea you stated in your question:
>>> or is it better to have a table where i just insert and delete rows
One part of each row should be the user it belongs to. That means one big 'temp' table that all users have access to through a view which limits them to only their records.
regarding routinet's suggestion, i don't think that's the best idea because of the frequency of insert/deletes. the index regeneration will be slower than managing each user as a table separately if there are 1000 rows/user.
the point about not bringing session management into the app is definitely valid and should be taken into account as a liability of the method i recommend.
one more thing to mention.
once this data is compiled for this users session , i will be doing various filters on this dataset
so the user will build this initial dataset
the hopefully play with it a little (during their session) but multiple webpage pages which would mean different mysql session.
I guess what may be the best is to do some timing tests
i appreciate your comments
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by: virmaiorPosted on 2009-10-09 at 07:24:43ID: 25535277
for what you describe, it seems it would be better to use a rows within a table solution
the overhead of adding a table and dropping it is more than adding a single row and dropping it or updating at at time.
another variable here is how much data is going to be in each row and whether it is properly normalized.