Split Rows
not sure if this is possible...
but lets say i make a select like
select products, stock from table
and my rs is
chair | 1
couch | 3
lamp | 2
is there anyway in the select to make any row that has stock of more than 1 to make a new row... so my rs would come back as
chair
couch
couch
couch
lamp
lamp
Any info would be helpful...
Thanks,
~ moe
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When To Split Up Databases?
I'm converting our companies binary file data to SQL Server data. I'm a developer, not a dba, and can't seem to get my company to hire a dba, so I need some advice from the community. I have an application running right now, it looks like it will take a week to run. Here's my estimates of the database size once it 's finished being loaded: Database Size: 20 Gig Largest Table (# of rows): 15 million rows Number of Tables: 37 Other Details: I'm going to use Web Merge Replication to replicate filtered data to 500 customers. QUESTION: At what point do I need to consider splitting the database up onto multiple servers? Or, is it better to split up the database into multiple databases on one server? Someone suggested to me to split up each customers data into a separate database on the server (i.e. ~500 databases). Is this an accepted practice?
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Split Function
Hi I have tried like this. but I cant execute my SP it ended up with errors. IF (@FirstLetters IS NOT NULL) BEGIN SET @FirstLetter = 'SELECT SplitValue FROM dbo.FnSplitString('+@FirstLetters+','',''))' print @FirstLetter END SELECT P.PUB_ID AS ''PubId'', P.PUB_TITLE AS ''PubTitle'' FROM HDS_PUBLICATION P INNER JOIN HN_IM_JOIN IM ON IM.PUB_UNID = P.PUB_UNID, HDS_CUSTOM C, WD_PUBLIC_SHELF S, HDS_TOPIC T WHERE P.PUB_UNID = C.PUB_UNID AND C.CUSTOM3 = ''False'' AND P.PUB_ID = S.PUB_ID AND P.PUB_UNID = T.PUB_UNID AND S.Audience = ''Public'' ' + @FilterByLang + ' ANDP.PUB_TITLE LIKE '+ @FirstLetter +'''%''' +' EXEC SP Any one please clear me Thanks, shakthiA
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Split Array
hi, how can i split text separated by semicolumn in different cells: text1;text2;text3; into 1 - text1 2 - text2 3 - text3 thank you
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