Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi,
I have a power BI file with data in it. From an outside source I imported the sales from 2014 to 2017 YTD into seperate tables.
I then append those queries t to a new a new table. The idea was that I only have to refresh the 2017 table rather than all the older years.
That took a long time, but was finally done.
I forgot to change 2 column names so when I edited those I had to apply them once again.
Is it normal that it takes the same amount of time as the first time if I just change 2 column names? I'm talking about hours here. Is there a way to speed up that process?
Solved! Go to Solution.
Hi,
Your table could be very big. The cause may be this. You changed the column names of original tables (sales 2014 ……) other than the appended new table. So Power BI will do “append tables” again when you apply. (You can see it in the picture in the bottom. I just changed the name of a column in sales, but the appended new table applied the changes totally.) The Query Editor just edit the queries. Power BI will perform it when you click “Apply”. If tables are too big, it will cost time. But we can avoid doing it twice. Please refer to the steps below.
Hi,
Your table could be very big. The cause may be this. You changed the column names of original tables (sales 2014 ……) other than the appended new table. So Power BI will do “append tables” again when you apply. (You can see it in the picture in the bottom. I just changed the name of a column in sales, but the appended new table applied the changes totally.) The Query Editor just edit the queries. Power BI will perform it when you click “Apply”. If tables are too big, it will cost time. But we can avoid doing it twice. Please refer to the steps below.
Thanks, that makes sense.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
112 | |
97 | |
85 | |
67 | |
59 |
User | Count |
---|---|
150 | |
120 | |
100 | |
87 | |
68 |