Honestly, I’m not even sure what to use for a title. I am working on a data migration and have a problem I am not sure how to solve. A few things right out the gate –
1. I am by no means a data wizard and my knowledge of clover is pretty basic.
2. The version I am using the 4.3 Community
… I have a table with User records, or at least PART of a user record. In this table I have an ID column. In a separate table I have a set of records related to a user via the ID. So in the UsersMetadata table I have something like…
user_id meta_key meta_value
1 first_name andrew
1 last_name jardine
1 nickname aj
…
2 first_name chris
2 last_name chan
2 nickname jackie chan
etc.
I am trying to flatten my user records to be exported to a CSV so that I have
userId firstName lastName nickname
1 andrew jardine aj
2 chris chan jackie chan
etc.
There are literally about 50+ “meta fields” – some of them I no longer need. Right now the only solution I have come up with , which SUCKS … is to have a component that reads a meta key (eg. firstName) and then UPDATES a record in a mast table, then it reads the lastName, updates the table… but this is a pretty brutal way to do it and I am sure that there is something more clever and quick.
Can someone help me out?