Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started

Reply
DagosKev
New Member

Table Joins with two conditions

I have two tables in Power Query:

Sales_table> sales per day

Cost_Table> Product costs by date

 

I can't find a way to bring the cost of the product (Cost_Table) to my sales table (Sales_Table).

The conditions should be:

Sales_Table.ITEM = Cost_Table.ITEM

Sales_Table.DATE> = Cost_Table.DATE

 

The result should be the following:

 

result.PNG

1 ACCEPTED SOLUTION

Hi @DagosKev 

 

check this:

 

// COST_TABLE
let
    Source = Excel.Workbook(File.Contents("C:\SALES_COST.xlsx"), null, true),
    COST_TABLE_Table = Source{[Item="COST_TABLE",Kind="Table"]}[Data],
    #"Changed Type" = Table.TransformColumnTypes(COST_TABLE_Table,{{"DATE(DD/MM/YYYY)", type date}, {"ITEM", type text}, {"COST", Int64.Type}}),
    #"Sorted Rows" = Table.Sort(#"Changed Type",{{"ITEM", Order.Ascending}, {"DATE(DD/MM/YYYY)", Order.Ascending}}),
    #"Added Index" = Table.AddIndexColumn(#"Sorted Rows", "Index", 0, 1, Int64.Type),
    #"Added Index1" = Table.AddIndexColumn(#"Added Index", "Index.1", 1, 1, Int64.Type),
    #"Merged Queries" = Table.NestedJoin(#"Added Index1", {"ITEM", "Index.1"}, #"Added Index1", {"ITEM", "Index"}, "Added Index1", JoinKind.LeftOuter),
    #"Expanded Added Index1" = Table.ExpandTableColumn(#"Merged Queries", "Added Index1", {"DATE(DD/MM/YYYY)"}, {"DATE(DD/MM/YYYY).1"}),
    #"Renamed Columns" = Table.RenameColumns(#"Expanded Added Index1",{{"DATE(DD/MM/YYYY)", "Startdate"}, {"DATE(DD/MM/YYYY).1", "Enddate"}}),
    #"Removed Columns" = Table.RemoveColumns(#"Renamed Columns",{"Index", "Index.1"}),
    #"Replaced Value" = Table.ReplaceValue(#"Removed Columns",null,#date(9999, 12, 31),Replacer.ReplaceValue,{"Enddate"})
in
    #"Replaced Value"

// SALES_TABLE
let
    Source = Excel.Workbook(File.Contents("C:\SALES_COST.xlsx"), null, true),
    SALES_TABLE_Table = Source{[Item="SALES_TABLE",Kind="Table"]}[Data],
    #"Changed Type" = Table.TransformColumnTypes(SALES_TABLE_Table,{{"SALEID", Int64.Type}, {"ITEM", type text}, {"QTY", Int64.Type}, {"UNITPRICE", Int64.Type}, {"DATE(DD/MM/YYYY)", type date}}),
    #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"ITEM"}, COST_TABLE, {"ITEM"}, "COST_TABLE", JoinKind.LeftOuter),
    #"Added Custom" = Table.AddColumn(#"Merged Queries", "COST_ROW", each Table.SelectRows([COST_TABLE], (CostRow) =>  _[#"DATE(DD/MM/YYYY)"] >= CostRow[Startdate] and _[#"DATE(DD/MM/YYYY)"] < CostRow[Enddate])),
    #"Expanded COST_ROW" = Table.ExpandTableColumn(#"Added Custom", "COST_ROW", {"COST"}, {"COST"}),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded COST_ROW",{"COST_TABLE"})
in
    #"Removed Columns"
Did I answer your question?
Please mark my post as solution, this will also help others.
Please give Kudos for support.

Marcus Wegener works as Full Stack Power BI Engineer at BI or DIE.
His mission is clear: "Get the most out of data, with Power BI."
twitter - LinkedIn - YouTube - website - podcast - Power BI Tutorials


View solution in original post

2 REPLIES 2

Hi @DagosKev 

 

check this:

 

// COST_TABLE
let
    Source = Excel.Workbook(File.Contents("C:\SALES_COST.xlsx"), null, true),
    COST_TABLE_Table = Source{[Item="COST_TABLE",Kind="Table"]}[Data],
    #"Changed Type" = Table.TransformColumnTypes(COST_TABLE_Table,{{"DATE(DD/MM/YYYY)", type date}, {"ITEM", type text}, {"COST", Int64.Type}}),
    #"Sorted Rows" = Table.Sort(#"Changed Type",{{"ITEM", Order.Ascending}, {"DATE(DD/MM/YYYY)", Order.Ascending}}),
    #"Added Index" = Table.AddIndexColumn(#"Sorted Rows", "Index", 0, 1, Int64.Type),
    #"Added Index1" = Table.AddIndexColumn(#"Added Index", "Index.1", 1, 1, Int64.Type),
    #"Merged Queries" = Table.NestedJoin(#"Added Index1", {"ITEM", "Index.1"}, #"Added Index1", {"ITEM", "Index"}, "Added Index1", JoinKind.LeftOuter),
    #"Expanded Added Index1" = Table.ExpandTableColumn(#"Merged Queries", "Added Index1", {"DATE(DD/MM/YYYY)"}, {"DATE(DD/MM/YYYY).1"}),
    #"Renamed Columns" = Table.RenameColumns(#"Expanded Added Index1",{{"DATE(DD/MM/YYYY)", "Startdate"}, {"DATE(DD/MM/YYYY).1", "Enddate"}}),
    #"Removed Columns" = Table.RemoveColumns(#"Renamed Columns",{"Index", "Index.1"}),
    #"Replaced Value" = Table.ReplaceValue(#"Removed Columns",null,#date(9999, 12, 31),Replacer.ReplaceValue,{"Enddate"})
in
    #"Replaced Value"

// SALES_TABLE
let
    Source = Excel.Workbook(File.Contents("C:\SALES_COST.xlsx"), null, true),
    SALES_TABLE_Table = Source{[Item="SALES_TABLE",Kind="Table"]}[Data],
    #"Changed Type" = Table.TransformColumnTypes(SALES_TABLE_Table,{{"SALEID", Int64.Type}, {"ITEM", type text}, {"QTY", Int64.Type}, {"UNITPRICE", Int64.Type}, {"DATE(DD/MM/YYYY)", type date}}),
    #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"ITEM"}, COST_TABLE, {"ITEM"}, "COST_TABLE", JoinKind.LeftOuter),
    #"Added Custom" = Table.AddColumn(#"Merged Queries", "COST_ROW", each Table.SelectRows([COST_TABLE], (CostRow) =>  _[#"DATE(DD/MM/YYYY)"] >= CostRow[Startdate] and _[#"DATE(DD/MM/YYYY)"] < CostRow[Enddate])),
    #"Expanded COST_ROW" = Table.ExpandTableColumn(#"Added Custom", "COST_ROW", {"COST"}, {"COST"}),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded COST_ROW",{"COST_TABLE"})
in
    #"Removed Columns"
Did I answer your question?
Please mark my post as solution, this will also help others.
Please give Kudos for support.

Marcus Wegener works as Full Stack Power BI Engineer at BI or DIE.
His mission is clear: "Get the most out of data, with Power BI."
twitter - LinkedIn - YouTube - website - podcast - Power BI Tutorials


Works fine!

Thank you

Helpful resources

Announcements
July 2024 Power BI Update

Power BI Monthly Update - July 2024

Check out the July 2024 Power BI update to learn about new features.

PBI_Carousel_NL_June

Fabric Community Update - June 2024

Get the latest Fabric updates from Build 2024, key Skills Challenge voucher deadlines, top blogs, forum posts, and product ideas.

Top Solution Authors
Top Kudoed Authors