The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends September 15. Request your voucher.
I'm trying to join two columns together but I keep getting the "No common join columns detected" error. The columns are both named "Month" and have all the same values and should both be type 'date'. But when I look at the elements in the join, something looks off. MarketPrices[Month] is 'date' type, however when I select it in the summarize function, it gets returned as 'date/time'. (The MarketPrices[Month] column is passed through a few tables before that, but all of them are set to 'date' type, and the original data type from the source query is also just 'date'.)
Is this causing the issue with the join? If so, how do I force the summarize function to return just the regular date?
SUMMARIZE(
FILTER(
MarketPrices,
MarketPrices[Date] >= DATE(2022, 3, 1)
),
MarketPrices[Month],
"Price", SUM(MarketPrices[Product]) / SUM(MarketPrices[Demand])
)
Solved! Go to Solution.
Hi @cbirch
You can modify the data type of your calculated column from UX :
If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly
Hi @cbirch
You can modify the data type of your calculated column from UX :
If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly
User | Count |
---|---|
58 | |
54 | |
53 | |
49 | |
30 |
User | Count |
---|---|
177 | |
88 | |
70 | |
48 | |
48 |