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.
I need to create a table based on the values from three other tables. Anytime a new date for an ID is entered in any one of the three tables, the new date needs to be added to the new table along with the most recent entry for the ID from all three tables.
ID | Date | Status |
3321 | 1/10/20 8:34 AM | Red |
3400 | 1/10/20 1:52 PM | null |
3412 | 1/11/20 7:28 AM | Green |
3482 | 1/12/20 2:24 PM | Yellow |
3512 | 1/13/20 9:32 AM | Yellow |
3400 | 1/13/20 11:22 AM | Yellow |
ID | Date | Customers Affected |
3321 | 1/10/20 8:34 AM | All |
3400 | 1/10/20 1:52 PM | null |
3412 | 1/11/20 7:28 AM | None |
3482 | 1/12/20 2:24 PM | None |
3512 | 1/13/20 9:32 AM | All |
3400 | 1/13/20 11:22 AM | None |
3321 | 1/15/20 3:41 PM | None |
ID | Date | Severity |
3321 | 1/10/20 8:34 AM | High |
3400 | 1/10/20 1:52 PM | null |
3412 | 1/11/20 7:28 AM | Low |
3482 | 1/12/20 2:24 PM | Low |
3512 | 1/13/20 9:32 AM | High |
3400 | 1/13/20 11:22 AM | Low |
Expected Results
ID | Date | Status | Customers Affected | Severity |
3321 | 1/10/20 8:34 AM | Red | All | High |
3400 | 1/10/20 1:52 PM | null | null | null |
3412 | 1/11/20 7:28 AM | Green | None | Low |
3482 | 1/12/20 2:24 PM | Yellow | None | Low |
3512 | 1/13/20 9:32 AM | Yellow | All | High |
3400 | 1/13/20 11:22 AM | Yellow | None | Low |
3321 | 1/15/20 3:41 PM | Red | None | High |
Solved! Go to Solution.
Hi @PolarBear ,
You can handle it in Power Query Editor,please paste the following code in Advance Editor and replace the table name with corrected one:
let
Source = Table.NestedJoin(t2, {"ID", "Date"}, t1, {"ID", "Date"}, "t1", JoinKind.LeftOuter),
#"Expanded t1" = Table.ExpandTableColumn(Source, "t1", {"ID", "Date", "Status"}, {"t1.ID", "t1.Date", "t1.Status"}),
#"Merged Queries" = Table.NestedJoin(#"Expanded t1", {"ID", "Date"}, t3, {"ID", "Date"}, "t3", JoinKind.LeftOuter),
#"Expanded t3" = Table.ExpandTableColumn(#"Merged Queries", "t3", {"ID", "Date", "Severity"}, {"t3.ID", "t3.Date", "t3.Severity"}),
#"Removed Columns" = Table.RemoveColumns(#"Expanded t3",{"t1.ID", "t1.Date", "t3.ID", "t3.Date"}),
#"Reordered Columns" = Table.ReorderColumns(#"Removed Columns",{"ID", "Date", "t1.Status", "Customers Affected", "t3.Severity"}),
#"Sorted Rows1" = Table.Sort(#"Reordered Columns",{{"ID", Order.Ascending}, {"Date", Order.Ascending}}),
#"Sorted Rows" = Table.Sort(#"Sorted Rows1",{{"ID", Order.Ascending}}),
#"Filled Down" = Table.FillDown(#"Sorted Rows",{"t1.Status", "t3.Severity"}),
#"Renamed Columns" = Table.RenameColumns(#"Filled Down",{{"t1.Status", "Status"}, {"t3.Severity", "Severity"}})
in
#"Renamed Columns"
You can find my sample PBIX file by this link.
Best Regards
Rena
I cannot get your sample data to jive with the expected results, specifically for 3321, the second entry.
Try like
summarize(
New Table =
union(
selectcolumns(Table1,"ID",[ID],"Date",Table[Date],"Status",Table[Status],"Customers Affected","","Severity",""),
selectcolumns(Table2,"ID",[ID],"Date",Table[Date],"Status","","Customers Affected",Table[Customers Affected],"Severity",""),
selectcolumns(Table2,"ID",[ID],"Date",Table[Date],"Status","","Customers Affected","","Severity",Table[[Severity])
),
[ID],"Date",Max([Date]),"Status",max(Status)," Customers Affected",max([Customers Affected]),"Severity",max([Severity]))
@amitchandak , this is close, but I need each date any of them changed, with the new value and the most recent value of the one(s) that didn't change.
Hi @PolarBear ,
You can handle it in Power Query Editor,please paste the following code in Advance Editor and replace the table name with corrected one:
let
Source = Table.NestedJoin(t2, {"ID", "Date"}, t1, {"ID", "Date"}, "t1", JoinKind.LeftOuter),
#"Expanded t1" = Table.ExpandTableColumn(Source, "t1", {"ID", "Date", "Status"}, {"t1.ID", "t1.Date", "t1.Status"}),
#"Merged Queries" = Table.NestedJoin(#"Expanded t1", {"ID", "Date"}, t3, {"ID", "Date"}, "t3", JoinKind.LeftOuter),
#"Expanded t3" = Table.ExpandTableColumn(#"Merged Queries", "t3", {"ID", "Date", "Severity"}, {"t3.ID", "t3.Date", "t3.Severity"}),
#"Removed Columns" = Table.RemoveColumns(#"Expanded t3",{"t1.ID", "t1.Date", "t3.ID", "t3.Date"}),
#"Reordered Columns" = Table.ReorderColumns(#"Removed Columns",{"ID", "Date", "t1.Status", "Customers Affected", "t3.Severity"}),
#"Sorted Rows1" = Table.Sort(#"Reordered Columns",{{"ID", Order.Ascending}, {"Date", Order.Ascending}}),
#"Sorted Rows" = Table.Sort(#"Sorted Rows1",{{"ID", Order.Ascending}}),
#"Filled Down" = Table.FillDown(#"Sorted Rows",{"t1.Status", "t3.Severity"}),
#"Renamed Columns" = Table.RenameColumns(#"Filled Down",{{"t1.Status", "Status"}, {"t3.Severity", "Severity"}})
in
#"Renamed Columns"
You can find my sample PBIX file by this link.
Best Regards
Rena
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 |
---|---|
110 | |
97 | |
78 | |
64 | |
55 |
User | Count |
---|---|
143 | |
109 | |
89 | |
84 | |
66 |