Difference between revisions of "User:Rmccown"
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== Importing the External Data straight into SQLYOG == | == Importing the External Data straight into SQLYOG == | ||
Revision as of 11:01, 3 July 2019
Note: Since I don't have permissions for creating new pages, I'm putting info here first.
TPI Exports and Their Quirks
Companies.xlsx
- May come with two tabs of data: one that appears to have collapsed/multiple rows per customer, a second called "Flat Data"
- There may be duplicates, depending on how the customer entered their data. Strangely, you may see multiple almost identical rows with important information spread between the multiple entries.
- In the example referenced for this wiki entry, the company file included vendors and customers as indicated in the `Company Type` column with the following types: Customer, E-Commerce, Other, Service Provider, Supplier
Myinventory-xxx.xlsx
- `PartID` appears to be the unique ID from TPI
- Make, Model, Manufacturer, and additional information fields are spread out across 50+ columns for every part type which will make later steps a bit more difficult
- Some cells in the original exports may have carriage returns which can make import into SQLyog behave unexpectedly
- Despite having an `On Hand` column, this information seems to conflict with another file called something like 'inventory_deleted.xlsx' that will need to be resolved later
Inventory_deleted.xlsx
- This file appears to show a list of inventory items that have been deleted, sold, or "adjusted"
- A column labeled `Transaction` may be the most useful and has the following options for each entry: Add Inventory, Invoice, Stock Adjsutment, Credit Note, Purcahse Order, Item Receipt, Build Order, Sales Receipt
Trucks_xxx.xlsx
- `TruckID` appears to be the unique ID from TPI
- As with the inventory export, some of the cells have extra lines
- The only reference between this and the inventory table is the vehicle's `Lot Number` and in most cases has a similar VIN. Unfortunately, there's no checks for duplicates or spelling so the data doesn't match up in all cases
AR-AgingReport-xxx.csv
- This file had the most obvious information for company names and balances
- Due to the number of duplicates in the 'companies' spreadsheet, the files don't pair up very well and may have to be entered manually.
TPI excel sheet cleanup
- Before importing the raw csv or xlsx sheet from TPI into SQLyog, it may be worth running the =CLEAN() function in Excel to remove line breaks
- The allowable field length for TPI data doesn't match up well to Enterprise so longer fields like description or notes will either need the CLEAN function or most likely a LEFT() in SQLyog queries
TPI Category ID
- TPI Category IDs will need to be mapped to the inventorytypeid used in Enterprise and by HTP.net
- An example of such a file can be found in the ATS(AZ) case file called 'tpi_partmapping_EE'
Tip |
The ATI conversion case file has an sql script that will convert TPI part types to ITrack part types |