This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreGet Fabric Certified for FREE during AI Skills Fest. This week only. Secure your voucher now.
Necesito crear una tabla basada en los valores de otras tres tablas. Cada vez que se introduce una nueva fecha para un ID en cualquiera de las tres tablas, la nueva fecha debe agregarse a la nueva tabla junto con la entrada más reciente para el ID de las tres tablas.
| Id | Fecha | Estado |
| 3321 | 1/10/20 8:34 AM | Rojo |
| 3400 | 1/10/20 1:52 PM | Null |
| 3412 | 1/11/20 7:28 AM | Verde |
| 3482 | 1/12/20 2:24 PM | Amarillo |
| 3512 | 1/13/20 9:32 AM | Amarillo |
| 3400 | 1/13/20 11:22 AM | Amarillo |
| Id | Fecha | Clientes afectados |
| 3321 | 1/10/20 8:34 AM | todo |
| 3400 | 1/10/20 1:52 PM | Null |
| 3412 | 1/11/20 7:28 AM | Ninguno |
| 3482 | 1/12/20 2:24 PM | Ninguno |
| 3512 | 1/13/20 9:32 AM | todo |
| 3400 | 1/13/20 11:22 AM | Ninguno |
| 3321 | 1/15/20 3:41 PM | Ninguno |
| Id | Fecha | Severidad |
| 3321 | 1/10/20 8:34 AM | Alto |
| 3400 | 1/10/20 1:52 PM | Null |
| 3412 | 1/11/20 7:28 AM | Bajo |
| 3482 | 1/12/20 2:24 PM | Bajo |
| 3512 | 1/13/20 9:32 AM | Alto |
| 3400 | 1/13/20 11:22 AM | Bajo |
Resultados esperados
| Id | Fecha | Estado | Clientes afectados | Severidad |
| 3321 | 1/10/20 8:34 AM | Rojo | todo | Alto |
| 3400 | 1/10/20 1:52 PM | Null | Null | Null |
| 3412 | 1/11/20 7:28 AM | Verde | Ninguno | Bajo |
| 3482 | 1/12/20 2:24 PM | Amarillo | Ninguno | Bajo |
| 3512 | 1/13/20 9:32 AM | Amarillo | todo | Alto |
| 3400 | 1/13/20 11:22 AM | Amarillo | Ninguno | Bajo |
| 3321 | 1/15/20 3:41 PM | Rojo | Ninguno | Alto |
Solved! Go to Solution.
Hola @PolarBear ,
Puede manejarlo en Power Query Editor, pegue el siguiente código en Advance Editor y reemplace el nombre de la tabla por uno corregido:
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"Puede encontrar mi archivo PBIX de ejemplo mediante este enlace.
Saludos
Rena
No puedo conseguir que sus datos de muestra se muevan con los resultados esperados, específicamente para 3321, la segunda entrada.
Me disculpo, he pegado datos incorrectos... He actualizado mis resultados esperados.
Gracias
Trate como
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 , esto está cerca, pero necesito cada fecha que cualquiera de ellos cambió, con el nuevo valor y el valor más reciente de los que no cambiaron.
Hola @PolarBear ,
Puede manejarlo en Power Query Editor, pegue el siguiente código en Advance Editor y reemplace el nombre de la tabla por uno corregido:
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"Puede encontrar mi archivo PBIX de ejemplo mediante este enlace.
Saludos
Rena
Check out the May 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.