The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredCompete to become Power BI Data Viz World Champion! First round ends August 18th. Get started.
Hi Folks,
I am facing a challenge. I have two different tables that have hundreds of rows in them. These two tables are connected by a common column(Name). I want to compare two tables on the attribute name and then display the rows of table-1 which are not present in Table-2. It would be great if anyone can help me in this regard:
My data looks like this
Solved! Go to Solution.
@Anonymous , Create a new table like
New table =
var _tab = except(all(Table1[Name]),all(Table2[Name]))
return
calculatetable(Table1, filter(Table1, Table1[Name] in _tab))
@Anonymous , Create a new table like
New table =
var _tab = except(all(Table1[Name]),all(Table2[Name]))
return
calculatetable(Table1, filter(Table1, Table1[Name] in _tab))
@amitchandak The new table we have created is working well when the data is stable. But in my case, Table 1 has live data & it changes every few seconds. Table 2 is updated once a day. So I need to keep comparing the two tables and keep changing the rows in the new table very frequently(every few seconds). Is this possible?
User | Count |
---|---|
86 | |
84 | |
36 | |
34 | |
30 |
User | Count |
---|---|
92 | |
79 | |
66 | |
55 | |
52 |