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#1
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#2
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Hi I have imported several Excel files (one per manufacturer) into one product database. Example fields are: manufacturer, Product Code, Description and Price. Several important sales records in a sales table now refer to this information e.g. product code is put in to one field on the sales record and description and price are looked up and inserted automatically on each line of a sales record. As these are all individual fields the look up is done by 'n' table ocurrences for 'n' number of invoice lines. The predicament I now have is that the prices from one of the manufacturers has now changed, but not by any set rule. Without deleting the whole product table and re-importing everything (because this would affect the sales records already created) how can I import the new price column and ensure that each price will be matched to the correct record?! The thing that makes me nervous about this is that the newly imported prices could be mis-matched between records. This is obviously a very important maintenance question from the point of view importing pricelists to a Filemaker database; prices change frequently and it would be good to know the best way of handling these price changes this from other developers' point of view. |
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#3
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snip Do not expect the column that holds the cost price in the initial spread sheet rows, to hold the same data all the way down... If ever there was a market niche that really needed database, it is those who assemble price lists. |
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#4
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In article<j7nsp3$gkc$1 (AT) speranza (DOT) aioe.org>, cortical cb (AT) corticaldata (DOT) com.au> wrote: snip Do not expect the column that holds the cost price in the initial spread sheet rows, to hold the same data all the way down... If ever there was a market niche that really needed database, it is those who assemble price lists. Even when price lists are done on a database, they have to be exported to something compatible with other systems, which usually means either a TXT or CSV file ... and often the CSV file defaults to opening with Excel so is seen as a spreadsheet when it really isn't. Helpful Haryy ) |
#5
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On 20/10/11 1:40 PM, Your Name wrote: In article<j7nsp3$gkc$1 (AT) speranza (DOT) aioe.org>, cortical cb (AT) corticaldata (DOT) com.au> wrote: snip Do not expect the column that holds the cost price in the initial spread sheet rows, to hold the same data all the way down... If ever there was a market niche that really needed database, it is those who assemble price lists. Even when price lists are done on a database, they have to be exported to something compatible with other systems, which usually means either a TXT or CSV file ... and often the CSV file defaults to opening with Excel so is seen as a spreadsheet when it really isn't. Missing the point Harry. It is common form some sources, that in the same price list spreadsheet, some product rows are 5 column, some 6 column, some 7 column They merge different fields... the 6th column in one row may be the cost price, in another category of product, it might be the 5th becuse 3 and 4 have been merged, so as imports use the standard delimiter of tab for field, pilcrow for record, a compression occurs, the merged fields are seen as single fields c1 c2 c3 c4 c5 >> f1 f2 f3 f4 f5 c1 (c2 c3) c4 c5 >> c2 in f2, c4 in f3, c5 in f4 |
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#6
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