Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hi Team,
I have 2 tables as below (Table1 and Table2). I have to join these 2 tables with multiple joining criteria:
However, I'm able to do it in SQL (mentioned below). But then not able to do it using Power Query.
SELECT A.* FROM TABLE1 A
LEFT JOIN TABLE2 B ON A.Transaction_ID = B.Transaction_ID
AND A.Transaction_Dt>=B.Sale_From_Dt AND A.Transaction_Dt<=B.Sale_To_Dt
Table1
Transaction_ID | Item_Name | Transaction_Dt |
1001 | Pen | 21-May-22 |
1002 | Laptop | 6-Aug-22 |
1003 | Phone | 1-Nov-22 |
1004 | Case | 25-Apr-22 |
1005 | Wire | 19-Aug-22 |
1006 | Cake | 15-Mar-22 |
1007 | Icecream | 16-Mar-22 |
1008 | Book | 5-Nov-22 |
Table2
Transaction_ID | Amount | Sale_From_Dt | Sale_To_Dt |
1005 | 500 | 1-Aug-22 | 30-Aug-22 |
1008 | 120 | 1-Oct-22 | 30-Oct-22 |
1007 | 345 | 1-Mar-22 | 30-Mar-22 |
1009 | 643 | 1-Feb-22 | 28-Feb-22 |
1002 | 900 | 1-Oct-22 | 30-Oct-22 |
1004 | 3498 | 1-Apr-22 | 30-Apr-22 |
1001 | 34 | 1-Mar-22 | 30-Mar-22 |
1003 | 456 | 1-Nov-22 | 30-Nov-22 |
1005 | 345 | 1-Jul-22 | 30-Jul-22 |
1008 | 345 | 1-Nov-22 | 30-Nov-22 |
1007 | 908 | 1-May-22 | 30-May-22 |
1009 | 125 | 1-Jan-22 | 30-Jan-22 |
1002 | 3787 | 1-Aug-22 | 30-Aug-22 |
1004 | 987 | 1-Dec-22 | 30-Dec-22 |
1001 | 7634 | 1-May-22 | 30-May-22 |
1003 | 760 | 1-Nov-22 | 30-Nov-22 |
Can someone please help me with the same?
@amitchandak - Any help here is much appriciated.
Thanks!!
Solved! Go to Solution.
Hi @Anonymous ,
You can join these tables firstly by merge queris.
And join kind with Left outer join.
expand all the columns expcet id column in the table2.
Add a custom column to identify if the date between table2's date range.
At last, filter all the row with TRUE and null. It means remove the rows which do not match conditions.
The M code:
let
Source = Table.NestedJoin(Table1, {"Transaction_ID"}, Table2, {"Transaction_ID"}, "Table2", JoinKind.LeftOuter),
#"Expanded Table2" = Table.ExpandTableColumn(Source, "Table2", {"Amount", "Sale_From_Dt", "Sale_To_Dt"}, {"Table2.Amount", "Table2.Sale_From_Dt", "Table2.Sale_To_Dt"}),
#"Added Custom" = Table.AddColumn(#"Expanded Table2", "if between", each [Transaction_Dt]>=[Table2.Sale_From_Dt] and
[Transaction_Dt]<=[Table2.Sale_To_Dt]),
#"Filtered Rows" = Table.SelectRows(#"Added Custom", each ([if between] <> false)),
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"if between"})
in
#"Removed Columns"
Result:
Pbix in the end you can refer.
Best Regards
Community Support Team _ chenwu zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
You can join these tables firstly by merge queris.
And join kind with Left outer join.
expand all the columns expcet id column in the table2.
Add a custom column to identify if the date between table2's date range.
At last, filter all the row with TRUE and null. It means remove the rows which do not match conditions.
The M code:
let
Source = Table.NestedJoin(Table1, {"Transaction_ID"}, Table2, {"Transaction_ID"}, "Table2", JoinKind.LeftOuter),
#"Expanded Table2" = Table.ExpandTableColumn(Source, "Table2", {"Amount", "Sale_From_Dt", "Sale_To_Dt"}, {"Table2.Amount", "Table2.Sale_From_Dt", "Table2.Sale_To_Dt"}),
#"Added Custom" = Table.AddColumn(#"Expanded Table2", "if between", each [Transaction_Dt]>=[Table2.Sale_From_Dt] and
[Transaction_Dt]<=[Table2.Sale_To_Dt]),
#"Filtered Rows" = Table.SelectRows(#"Added Custom", each ([if between] <> false)),
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"if between"})
in
#"Removed Columns"
Result:
Pbix in the end you can refer.
Best Regards
Community Support Team _ chenwu zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
I have been implementing a very similar problem, and your solution helps enormously, but it is unfortunately not entirely correct.
I use a LeftOuterJoin condition, which means I want to keep all records from Table 1.
The problem arises in this situation:
- there is a (at least 1) related record in Table 2
- all related records fail on the second condition ( Transaction_Dt between Sale_From_Dt and Sale_To_Dt)
In this situation we lose the original record from Table1, though I want to keep it with null values in the Table2 columns.
Any solution for this?
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
63 | |
62 | |
52 | |
39 | |
24 |
User | Count |
---|---|
84 | |
57 | |
45 | |
44 | |
36 |