Replace data in existing fields

bdroesch — Thu, 25 Oct 2018 18:57:21 GMT

Hi,

I have an app that is doing a binary load of our data model which has a lot of data. I use this app to bring in data from excels and other data sources. I wanted to see if there is a simple loading script solution for replacing values in a field. For example, in my data model I have a table called “Base Table” that has about 100 column which is unique on the field “ItemNo”. I have five fields in this table that are called “Value_1”, “Value_2”, “Value_3”, “Value_4” & “Value_5”. I have about 90k distinct values for “ItemNo”. I have an excel file that I am loading in following my binary load that contains data for 1,000 of the “ItemNos” that are in the data model. In this excel, I have data for the 5 “Value” fields that I feel are more accurate than what is in my data model. So I see two possible options. I could load in these 5 fields from my excel with a different naming convention (for example, “Value_1_External”, “Value_2_External”…) or I could somehow replace the data for these 5 fields for just these 1,000 “ItemNos”.

I really would rather do the second option. I wrote a script that does the following steps:

Load in excel file into table “New Data”
Create a Mapping table for just the “ItemNos” that exist in the excel file.
Create a new table called “Temp” which loads in all of the data from my “Base Table” for ItemNos that are in the excel. I use the Mapping table to isolate to my population that is only in the excel.
Drop the fields “Value_1”, “Value_2”, “Value_3”, “Value_4” & “Value_5” from “Temp”
Left Join data from “New Data” to “Temp”. This will bring in the correct data for fields “Value_1”, “Value_2”, “Value_3”, “Value_4” & “Value_5”
Concatenate to “Temp” table all data from “Base Table” for only ItemNos that aren’t in the excel. Again I use the Mapping table to isolate to my population that is only in the excel.
Drop “Base Table”. Rename “Temp” to “Base Table”

Please let me know if there is a process that is easier than this.

Thank you,

Brian

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Replace data in existing fields