Don't miss your chance to take exam DP-600 or DP-700 on us!
Request nowLearn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
I have a scenario to get discrepancy records across 2 different JSON objects. I will import the 2 objects into PowerBI Desktop and name as 1 VS 2.
Therefore, what I have is:
| Table1 | Name | Industry | City | Table 2 | Name | Industry | City | |
| record 1 | A | A | C | record 1 | A | B | C | |
| record 2 | A | B | C | record 2 | A | B | C | |
| record 3 | A | B | C | record 3 | A | B | C |
The result I am looking for is a new table showing:
| New Table | Name | Industry | City |
| record 1 | Yes | No | Yes |
| record 2 | Yes | Yes | Yes |
| record 3 | Yes | Yes | Yes |
Could anyone point me with some direction how to get the new table generated? Appreciated a million!
Solved! Go to Solution.
@Anonymous,
Try this in Power Query:
let
Source = Table.NestedJoin(Table1, {"Record ID"}, Table2, {"Record ID"}, "Table2", JoinKind.Inner),
RenameColumns = Table.RenameColumns(
Source,
{{"Name", "Table1.Name"}, {"Industry", "Table1.Industry"}, {"City", "Table1.City"}}
),
ExpandTable2 = Table.ExpandTableColumn(
RenameColumns,
"Table2",
{"Name", "Industry", "City"},
{"Table2.Name", "Table2.Industry", "Table2.City"}
),
AddName = Table.AddColumn(
ExpandTable2,
"Name",
each if [Table1.Name] = [Table2.Name] then "Yes" else "No"
),
AddIndustry = Table.AddColumn(
AddName,
"Industry",
each if [Table1.Industry] = [Table2.Industry] then "Yes" else "No"
),
AddCity = Table.AddColumn(
AddIndustry,
"City",
each if [Table1.City] = [Table2.City] then "Yes" else "No"
),
RemoveColumns = Table.RemoveColumns(
AddCity,
{
"Table1.Name",
"Table1.Industry",
"Table1.City",
"Table2.Name",
"Table2.Industry",
"Table2.City"
}
)
in
RemoveColumns
Proud to be a Super User!
@Anonymous,
Try this in Power Query:
let
Source = Table.NestedJoin(Table1, {"Record ID"}, Table2, {"Record ID"}, "Table2", JoinKind.Inner),
RenameColumns = Table.RenameColumns(
Source,
{{"Name", "Table1.Name"}, {"Industry", "Table1.Industry"}, {"City", "Table1.City"}}
),
ExpandTable2 = Table.ExpandTableColumn(
RenameColumns,
"Table2",
{"Name", "Industry", "City"},
{"Table2.Name", "Table2.Industry", "Table2.City"}
),
AddName = Table.AddColumn(
ExpandTable2,
"Name",
each if [Table1.Name] = [Table2.Name] then "Yes" else "No"
),
AddIndustry = Table.AddColumn(
AddName,
"Industry",
each if [Table1.Industry] = [Table2.Industry] then "Yes" else "No"
),
AddCity = Table.AddColumn(
AddIndustry,
"City",
each if [Table1.City] = [Table2.City] then "Yes" else "No"
),
RemoveColumns = Table.RemoveColumns(
AddCity,
{
"Table1.Name",
"Table1.Industry",
"Table1.City",
"Table2.Name",
"Table2.Industry",
"Table2.City"
}
)
in
RemoveColumns
Proud to be a Super User!
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 54 | |
| 47 | |
| 39 | |
| 16 | |
| 15 |
| User | Count |
|---|---|
| 83 | |
| 70 | |
| 38 | |
| 28 | |
| 27 |