I would like to update the "Booking Ref" (Hoffice ID) in Data 2 with the corresponding "Client ID" (Store ID) from Data 1 under the following conditions related to Hoffice:
Hoffice | |||||||
Brand | Booking ID | Status | Prior My Fashion ID | Booking Ref | My Fashion ID Name | My Fashion ID Value | Source |
Nike | New | Confirmed | BNTHEE789MIK50:MFI00009589 | 7894569741 | T89745WOKNT12 | 2NDLMSJGHAN123456QOJAMSK | HeadOffice |
Nike | New | Confirmed | BNTHEE789MIK50 | MFI00009589 | Internal | ||
Nike | New | Confirmed | ONTHEE789MIK50:MFI00001597 | 147852369 | T89745WOKNX10 | ABDLMSJGHAN123456QOJAK8C | HeadOffice |
Nike | New | Confirmed | ONTHEE789MIK50 | MFI00001597 | Internal | ||
Nike | Previous Day | Pending | ONTHEE789MIK50:MFI00001597 | 65412399 | T89745WOKNX10 | ABDLMSJGHAN123456QOJAK8C | HeadOffice |
Nike | Previous Day | Confirmed | REFHEE789MIK50:MFI00001006 | 98574961 | T89745WOKNX10 | ABDLMSJGHAN123456QOJAK9E | HeadOffice |
Data 2
Store Data | |||
Status | Client Name | Client ID | Details |
Dormant | Jacob Shanne | 98745699 | JSD_98745699@Client Deal, London@Client, 1001.0@nike, 101258963333312@My Fashion ID, 1234@My Fashion User ID |
Active | Micke Green | 92312312 | 12312312@Order Number, 101258963333313@My Fashion ID, MFI00001234@My Fashion User ID |
Active | Jonathan | 92345677 | 12345677@Order Number, 111258963223322@My Fashion ID, MFI00001597@My Fashion User ID |
Active | Claudie | 95123852 | 85123852@Order Number, 111258969514131@My Fashion ID, MFI00008521@My Fashion User ID |
Active | Tesse | 96457887 | TTA_56457887@Client Deal, London@Client, 1001.0@nike, 101258964444987@My Fashion ID, 1236@My Fashion User ID, MFI00005896@Prior My Fashion ID |
Active | Jhonny Seacrest | 95475311 | JSA_65475311@Client Deal, London@Client, 99.0@nike, 101258965555987@My Fashion ID, 8523@My Fashion User ID, MFI00009589@Prior My Fashion ID |
The final output should replace the "Booking Ref" (Hoffice ID) from Data 2 with the "Client ID" (Store ID) from Data 1
Hoffice ID | Store ID | Type | Upload |
7894569741 | 95475311 | Shoes | Y |
147852369 | 92345677 | Shoes | Y |
The HOffice _Head Office Data comes in every hour -
The workflow will be run every hour - to ensure each HOffice ID is correctly matched with its corresponding Store ID. How can I prevent duplication, ensuring each HOffice ID is only considered once in that day? is there a workflow check
Solved! Go to Solution.
This is exactly what I was looking for. I'm currently reviewing the data I provided, which was limited to certain line items.
I have one final question: Can we use the 'Join' Tool to look up more than one column?
The left has"Prior My Fashion ID" - is it possible to look up 2 columns on the right - i.e, My_Fashion_User_ID and Prior_my_Fashion_ID
The workflow actually already does this. I duplicate any orderline on the right that has a Prior_My_Fashion_ID.
The two last tools of the right join combines My_Fashion_User_ID and and Prior_my_Fashion_ID into a single cell (My_Fashion_User_ID). Then i split the row so that there are two records with each of the ID's. Try and look at the data i input 6 records but at the end of this there is 8 two of them are identintical except for the My_Fashion_User_ID with two other lines
HI Mathias- Workflow 5 is perfect - Thank you soo much