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I have a database with steps applied to it on Power Query, I would like Add the number of rows
to my table based on the "phaseCount" . Example of what I want with a before and after:
before
| fid | phaseCount | phase | extractDate | deviceName |
| 201800722 | 3 | ABC | 03-Mar-26 | Device1 |
| 201458541 | 1 | A | 03-Mar-26 | Device2 |
| 201801230 | 1 | B | 03-Mar-26 | Device3 |
| 110220928 | 2 | BC | 03-Mar-26 | Device4 |
After
| fid | phaseCount | phase | extractDate | deviceName |
| 201800722 | 3 | ABC | 03-Mar-26 | Device1 |
| 201800722 | 3 | ABC | 03-Mar-26 | Device1 |
| 201800722 | 3 | ABC | 03-Mar-26 | Device1 |
| 201458541 | 1 | A | 03-Mar-26 | Device2 |
| 201801230 | 1 | B | 03-Mar-26 | Device3 |
| 110220928 | 2 | BC | 03-Mar-26 | Device4 |
| 110220928 | 2 | BC | 03-Mar-26 | Device4 |
Here is my Power Query
let
Source = Sql.Databases("SQLUTLCLP-123\PROD02,00000"),
DMS = Source{[Name="DMS"]}[Data],
eccl_gisDeviceChanges = DMS{[Schema="eccl",Item="gisDeviceChanges"]}[Data],
#"Extracted Date" = Table.TransformColumns(eccl_gisDeviceChanges,{{"extractDate", DateTime.Date, type date}}),
#"Filtered Rows" = Table.SelectRows(#"Extracted Date", each ([extractDate] <> null and [extractDate] <> #date(2025, 7, 7))),
#"Changed Type" = Table.TransformColumnTypes(#"Filtered Rows",{{"fid", Int64.Type}}),
#"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 0, 1, Int64.Type),
#"Inserted Cleaned Text" = Table.AddColumn(#"Added Index", "Clean", each Text.Clean(Text.From([Index], "en-US")), type text),
#"Inserted Trimmed Text" = Table.AddColumn(#"Inserted Cleaned Text", "Trim", each Text.Trim([Clean]), type text),
#"Added Index1" = Table.AddIndexColumn(#"Inserted Trimmed Text", "Index.1", 0, 1, Int64.Type),
#"Inserted Trimmed Text1" = Table.AddColumn(#"Added Index1", "Trim.1", each Text.Trim(Text.From([Index.1], "en-US")), type text),
AddedCustom =
Table.AddColumn (
ChangedType,
"Custom",
each Table.Repeat ( Table.FromRecords ( { _ } ), _[phaseCount] ),
ColumnAndTypes
),
RemovedColumns = Table.RemoveColumns ( AddedCustom, { "deviceName", "fid", "phaseCount" } ),
ExpandedCustom =
Table.ExpandTableColumn (
RemovedColumns,
"Custom",
ColumnNames,
ColumnNames
),
#"Kept Duplicates" = let columnNames = {"fid"}, addCount = Table.Group(#"Added Index", columnNames, {{"Count", Table.RowCount, type number}}), selectDuplicates = Table.SelectRows(addCount, each [Count] > 1), removeCount = Table.RemoveColumns(selectDuplicates, "Count") in Table.Join(#"Added Index", columnNames, removeCount, columnNames, JoinKind.Inner),
#"Filtered Rows1" = Table.SelectRows(#"Kept Duplicates", each true)
in
#"Kept Duplicates"
Solved! Go to Solution.
Hi @jwb3d , from your query, I beleive you need to duplicate same rows if the Phase count is more than one value .
IP :
Use Table .Repeat fundtion to handle this scenario
let
Source = #"IP Table", // -> Source table
ColNames = Table.ColumnNames(Source),
// Nest each row as a repeated table
AddedRepeated = Table.AddColumn(
Source,
"RepeatedRows",
each Table.Repeat( Table.FromRecords({ _ }), [phaseCount] )
),
// the id is causing error so drop originals BEFORE expanding to avoid duplicate field error
OnlyNested = Table.SelectColumns(AddedRepeated, {"RepeatedRows"}),
Expanded = Table.ExpandTableColumn(
OnlyNested, "RepeatedRows", ColNames
),
#"Added Index" = Table.AddIndexColumn(Expanded, "Index", 1, 1, Int64.Type)
in
#"Added Index"
OP:
Sample :
Row Expand.pbix
Thanks
If you found this helpful, please consider giving it a kudo and marking it as the accepted solution — it goes a long way in helping others facing the same issue.
For more Power BI tips and discussions, let’s connect on LinkedIn:
https://www.linkedin.com/in/natarajan-manivasagan
Cheers!
if you want to add duplicate rows, you can add a list.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwtDAwMDcyUtJRMgZiRydnIGlgrOubWKRrZAZku6SWZSanGirF6oBVm5hamJoYAsVB2BGrWiOYWgsDQyNjA6haJ6xqjcFqDQ0NjIwMLI0sgOIgl+BwhIlSbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [fid = _t, phaseCount = _t, phase = _t, extractDate = _t, deviceName = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"fid", Int64.Type}, {"phaseCount", Int64.Type}, {"phase", type text}, {"extractDate", type date}, {"deviceName", type text}}),
#"Replaced Value" = Table.ReplaceValue(#"Changed Type",null,null,(old,new,z)=>List.Repeat({old}, Text.Length(old)),{"phase"}),
#"Expanded {0}" = Table.ExpandListColumn(#"Replaced Value", "phase")
in
#"Expanded {0}"
pls try
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwtDAwMDcyUtJRMgZiRydnIGlgrOubWKRrZAZku6SWZSanGirF6oBVm5hamJoYAsVB2BGrWiOYWgsDQyNjA6haJ6xqjcFqDQ0NjIwMLI0sgOIgl+BwhIlSbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [fid = _t, phaseCount = _t, phase = _t, extractDate = _t, deviceName = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"phaseCount", type number}}),
lst = Table.ColumnNames(#"Changed Type"),
from = List.TransformMany(Table.ToRows(#"Changed Type"), (x)=> {1..x{1}},(x,y)=>x),
tb = Table.FromRows(from,lst)
in
tb
Hi @jwb3d, another solution:
Result:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwtDAwMDcyUtJRMgZiRydnIGlgrOubWKRrZAZku6SWZSanGirF6oBVm5hamJoYAsVB2BGrWiOYWgsDQyNjA6haJ6xqjcFqDQ0NjIwMLI0sgOIgl+BwhIlSbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [fid = _t, phaseCount = _t, phase = _t, extractDate = _t, deviceName = _t]),
PhaseCountToList = Table.TransformColumns(Source,{{"phaseCount", each let n = Number.From(_) in List.Repeat({n}, n) , type {number}}}),
ExpandedPhaseCount = Table.ExpandListColumn(PhaseCountToList, "phaseCount")
in
ExpandedPhaseCount
This is optimized code, try it.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwtDAwMDcyUtJRMgZiRydnIGlgrOubWKRrZAZku6SWZSanGirF6oBVm5hamJoYAsVB2BGrWiOYWgsDQyNjA6haJ6xqjcFqDQ0NjIwMLI0sgOIgl+BwhIlSbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [fid = _t, phaseCount = _t, phase = _t, extractDate = _t, deviceName = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"phaseCount", type number}}),
from = Table.FromRecords( List.TransformMany(
Table.ToRecords(#"Changed Type"),(x)=> {1.. Record.FieldValues(x){1}},(x,y)=>x))
in
from
pls try
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwtDAwMDcyUtJRMgZiRydnIGlgrOubWKRrZAZku6SWZSanGirF6oBVm5hamJoYAsVB2BGrWiOYWgsDQyNjA6haJ6xqjcFqDQ0NjIwMLI0sgOIgl+BwhIlSbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [fid = _t, phaseCount = _t, phase = _t, extractDate = _t, deviceName = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"phaseCount", type number}}),
lst = Table.ColumnNames(#"Changed Type"),
from = List.TransformMany(Table.ToRows(#"Changed Type"), (x)=> {1..x{1}},(x,y)=>x),
tb = Table.FromRows(from,lst)
in
tb
if you want to add duplicate rows, you can add a list.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwtDAwMDcyUtJRMgZiRydnIGlgrOubWKRrZAZku6SWZSanGirF6oBVm5hamJoYAsVB2BGrWiOYWgsDQyNjA6haJ6xqjcFqDQ0NjIwMLI0sgOIgl+BwhIlSbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [fid = _t, phaseCount = _t, phase = _t, extractDate = _t, deviceName = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"fid", Int64.Type}, {"phaseCount", Int64.Type}, {"phase", type text}, {"extractDate", type date}, {"deviceName", type text}}),
#"Replaced Value" = Table.ReplaceValue(#"Changed Type",null,null,(old,new,z)=>List.Repeat({old}, Text.Length(old)),{"phase"}),
#"Expanded {0}" = Table.ExpandListColumn(#"Replaced Value", "phase")
in
#"Expanded {0}"
Hi @jwb3d , from your query, I beleive you need to duplicate same rows if the Phase count is more than one value .
IP :
Use Table .Repeat fundtion to handle this scenario
let
Source = #"IP Table", // -> Source table
ColNames = Table.ColumnNames(Source),
// Nest each row as a repeated table
AddedRepeated = Table.AddColumn(
Source,
"RepeatedRows",
each Table.Repeat( Table.FromRecords({ _ }), [phaseCount] )
),
// the id is causing error so drop originals BEFORE expanding to avoid duplicate field error
OnlyNested = Table.SelectColumns(AddedRepeated, {"RepeatedRows"}),
Expanded = Table.ExpandTableColumn(
OnlyNested, "RepeatedRows", ColNames
),
#"Added Index" = Table.AddIndexColumn(Expanded, "Index", 1, 1, Int64.Type)
in
#"Added Index"
OP:
Sample :
Row Expand.pbix
Thanks
If you found this helpful, please consider giving it a kudo and marking it as the accepted solution — it goes a long way in helping others facing the same issue.
For more Power BI tips and discussions, let’s connect on LinkedIn:
https://www.linkedin.com/in/natarajan-manivasagan
Cheers!
I would like to include a column that is derived from the deviceName and phase. This would involve appending A-B-C to each of the duplicated rows.
Example
| fid | phaseCount | phase | extractDate | deviceName | Index | New Column |
| 201800722 | 3 | ABC | 3/3/2026 | Device1 | 1 | Device1A |
| 201800722 | 3 | ABC | 3/3/2026 | Device1 | 2 | Device1B |
| 201800722 | 3 | ABC | 3/3/2026 | Device1 | 3 | Device1C |
| 821047293 | 2 | AC | 3/3/2026 | Device10 | 19 | Device1A |
| 821047293 | 2 | AC | 3/3/2026 | Device10 | 20 | Device1B |
| 720183650 | 1 | D | 3/3/2026 | Device9 | 18 | Device9D |
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