WebSep 7, 2024 · Power Query Best Way to Filter Million Rows of Data Reply Topic Options Bernadette Frequent Visitor Best Way to Filter Million Rows of Data 09-07-2024 04:07 PM Hello, One of our users is getting data from an Excel file (stored in network drive) and importing data from SAP HANA database. WebPower Query Is Not. 4m ago. = Table.SelectRows (#"Sorted Rows", each Date.IsInCurrentWeek ( [Date])) Hi All. How can I amend the above Filter so I filter out the Current Week? The above code keeps the current …
Solved: Advanced filtering in power query - multiple condi ...
WebOct 11, 2024 · So in your example, it has to process 10 rows to show you the 5 you filtered for. As to your 100 rows loaded vs the 20 you think, we'd need to see data and the M code to see how your join is set up. Joins can increase, decrease, or leave row count unchanged. Depends on the join type and the data. WebFeb 7, 2024 · Power Query M: filter rows by table Reply Topic Options webportal Impactful Individual Power Query M: filter rows by table 02-07-2024 04:22 AM Is there a way to read the "Text1", "Text2", etc. from the command below from a table? Table.SelectRows (DB, each [Name] = "Text1" or [Name] = "Text2" or [Name] = "TextN") medline educare wound ruler
Keep only Rows where Column1 is equal to Column2 - Power BI
Web1 day ago · My query is like below. Basically, the most of the data is coming from the Append1 table while the users' information is coming from the All_HR_Hierarchy table. The ASSIGNED_USER column in Append1 is found in the HISL_ID column of the All_HR_Hierarchy table. WebFilter Power Query row based on 2 column values 02-09-2024 07:09 PM Hi, I have been trying to filter out rows that contain 2 specific values from one column each. I try to use the filter option with and as per the below formula = Table.SelectRows (#"Removed Columns1", each ( [Order Number] <> "PC112936" and [Invoice Date] = #date (2024, 4, 14))) WebMarcel Beug gave a great solution there. For your reference, I wrote an elaborate guide on replacing values based on conditions. Also including capital insensitive replacements. The general construct is: = Table.ReplaceValue( #"Changed Type", each [Gender], each if [Surname] = "Manly" then "Male" [Gender] , Replacer.ReplaceValue,{"Income ... naish force r1