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.
Hello,
I have 2 tables I would like to merge to have only 1 table (final table)
table 3 should be table 1 + for each site and each month the 2 additional rows (D & E) from table 2.
"Type", "Site" and "Date" from table 1 are linked to some other tables.
"Category" from table 2 also
Once I will have this unique final table, I will modify the formula of column "consumption" to retreive datas for all the merge categories/types (coming from differents other tables). Please can you help
Solved! Go to Solution.
Duplicate table 1
remove column Type and consumption Table1A
DO a cross Join Table1A, Table 2 Into Table 3 - refer
Power Query Cross Join| Cartesian Product: https://youtu.be/7MvROGObBYk
Then merge Table3 and Table 1
Now you only need to get consumption
@amitchandak Thanks for your contribution on this thread.
Hi @Hugoleth ,
I create a sample pbix file(see the attachment), please find the details in it.
As @amitchandak , you can create a calculated table as below to get it by using CROSSJOIN function:
Table =
VAR _tab1 =
CROSSJOIN (
VALUES ( 'Table 2'[Category] ),
VALUES ( 'Table 1'[Sites] ),
VALUES ( 'Table 1'[Date] )
)
VAR _tab2 =
FILTER (
_tab1,
NOT ( ISBLANK ( [Sites] ) )
&& NOT ( ISBLANK ( [Date] ) ) && NOT ( ISBLANK ( [Category] ) )
)
VAR _tab =
ADDCOLUMNS (
DISTINCT ( _tab2 ),
"Consumption",
CALCULATE (
MAX ( 'Table 1'[Consumption] ),
FILTER (
'Table 1',
'Table 1'[Type] = [Category]
&& 'Table 1'[Date] = [Date]
&& 'Table 1'[Sites] = [Sites]
)
)
)
RETURN
_tab
In addition, you can achieve it in Power Query Editor:
let
Source = #"Table 2",
#"Added Custom" = Table.AddColumn(Source, "Site", each List.Distinct(#"Table 1"[Sites])),
#"Added Custom1" = Table.AddColumn(#"Added Custom", "Date", each List.Distinct(#"Table 1"[Date])),
#"Expanded Site" = Table.ExpandListColumn(#"Added Custom1", "Site"),
#"Expanded Date" = Table.ExpandListColumn(#"Expanded Site", "Date"),
#"Removed Duplicates" = Table.Distinct(#"Expanded Date"),
#"Merged Queries" = Table.NestedJoin(#"Removed Duplicates", {"Category", "Site", "Date"}, #"Table 1", {"Type", "Sites", "Date"}, "Table 1", JoinKind.LeftOuter),
#"Expanded Table 1" = Table.ExpandTableColumn(#"Merged Queries", "Table 1", {"Consumption"}, {"Consumption"})
in
#"Expanded Table 1"
Best Regards
@amitchandak Thanks for your contribution on this thread.
Hi @Hugoleth ,
I create a sample pbix file(see the attachment), please find the details in it.
As @amitchandak , you can create a calculated table as below to get it by using CROSSJOIN function:
Table =
VAR _tab1 =
CROSSJOIN (
VALUES ( 'Table 2'[Category] ),
VALUES ( 'Table 1'[Sites] ),
VALUES ( 'Table 1'[Date] )
)
VAR _tab2 =
FILTER (
_tab1,
NOT ( ISBLANK ( [Sites] ) )
&& NOT ( ISBLANK ( [Date] ) ) && NOT ( ISBLANK ( [Category] ) )
)
VAR _tab =
ADDCOLUMNS (
DISTINCT ( _tab2 ),
"Consumption",
CALCULATE (
MAX ( 'Table 1'[Consumption] ),
FILTER (
'Table 1',
'Table 1'[Type] = [Category]
&& 'Table 1'[Date] = [Date]
&& 'Table 1'[Sites] = [Sites]
)
)
)
RETURN
_tab
In addition, you can achieve it in Power Query Editor:
let
Source = #"Table 2",
#"Added Custom" = Table.AddColumn(Source, "Site", each List.Distinct(#"Table 1"[Sites])),
#"Added Custom1" = Table.AddColumn(#"Added Custom", "Date", each List.Distinct(#"Table 1"[Date])),
#"Expanded Site" = Table.ExpandListColumn(#"Added Custom1", "Site"),
#"Expanded Date" = Table.ExpandListColumn(#"Expanded Site", "Date"),
#"Removed Duplicates" = Table.Distinct(#"Expanded Date"),
#"Merged Queries" = Table.NestedJoin(#"Removed Duplicates", {"Category", "Site", "Date"}, #"Table 1", {"Type", "Sites", "Date"}, "Table 1", JoinKind.LeftOuter),
#"Expanded Table 1" = Table.ExpandTableColumn(#"Merged Queries", "Table 1", {"Consumption"}, {"Consumption"})
in
#"Expanded Table 1"
Best Regards
It works. Thanks a lot for your support
Duplicate table 1
remove column Type and consumption Table1A
DO a cross Join Table1A, Table 2 Into Table 3 - refer
Power Query Cross Join| Cartesian Product: https://youtu.be/7MvROGObBYk
Then merge Table3 and Table 1
Now you only need to get consumption
Hello, thanks a lot for your reply. Issue is that when I cross join it's not on Power Query so when I want to merge queries, the cross join is not accessible in Power Query... Is it normal ?
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 |
---|---|
109 | |
100 | |
85 | |
77 | |
65 |
User | Count |
---|---|
120 | |
111 | |
95 | |
83 | |
75 |