DataFlow – Merge Queries (aka Join Tables)

A long while Back Carina Claesson wrote about joining data with DataFlows. I had created a dataflow with 2 tables and used a specialized “behind the scenes” connecting several “CRM Keys” together. It was a little buggy, so I thought I would give it a try to follow her blog: Combining information from multiple data sources with Power Platform Dataflows – Carina M. Claesson (carinaclaesson.com)

Scenario

In our system for billing, we have the following structure. A debitor (aka Account), can potentially have lots of projects connected. The only way to connect data in DataFlow is via KEY’s in the Dynamics configuration. In our case we have a key “AccountVAT”. This ID is a unique organization number used in Norway.

Both tables know AccountID, but only the Account table holds the AccountVAT number. As you see on the image above, the Project doesn’t know what AccountVAT to connect to. Lets fix that.

DataFlow

So I load up my 2 tables in dataflow. If you wonder how this is done, check my other posts on DataFlow.

Select the MERGE QUERIES option

Here we match the 2 tables based on AccountID. As you see here there are lots of options for matching, but now you also get a nice visual for matching status at the bottom.

Next step is choosing what data to “join” into the projects table.

So I select the AccountVAT number as the field to join.

As you see in the picture below, the Debitor.Foretaksnr is now visible. This column is now joined from the Debitor table to the Project table.

The selected row below is a special field. You see that the Debitor.foretaksnr is a field in another table, and you see the destination field being special. The destination field is of type Lookup, and is expecting “AccountNumber” as matching.

The result is projects record linked to the correct account in CRM