Advance your Data & AI career with 50 days of live learning, dataviz contests, hands-on challenges, study groups & certifications and more!
Get registeredGet Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Learn more
I want to condionally fill down multiple columns (approximatively 200 columns) as below :
When the value's column is "E" => begin to fill down, and stop when the value "H" is reached.
Example of 2 columns input data :
| Column1 | Column2 | 
| A | W | 
| B | X | 
| C | Y | 
| D | Z | 
| null | null | 
| null | E | 
| null | null | 
| E | F | 
| null | null | 
| null | null | 
| null | null | 
| F | G | 
| G | H | 
| null | null | 
| null | null | 
| H | null | 
| null | null | 
Desired output :
| Column1 | Column2 | 
| A | W | 
| B | X | 
| C | Y | 
| D | Z | 
| null | null | 
| null | E | 
| null | E | 
| E | F | 
| E | F | 
| E | F | 
| E | F | 
| F | G | 
| G | H | 
| G | null | 
| G | null | 
| H | null | 
| null | null | 
Thanks
Solved! Go to Solution.
let
    Source = your_table,
    to_cols = Table.ToColumns(Source),
    g = (lst) => 
        [st = [E = true, H = false],
        gen = List.Generate(
            () => [i = 0, c = lst{0}, fd = c = "E"],
            (x) => x[i] < List.Count(lst),
            (x) => 
                [
                    i = x[i] + 1, 
                    c = if x[fd] then lst{i} ?? x[c] else lst{i}, 
                    fd = Record.FieldOrDefault(st, c ?? "", x[fd])
                ],
            (x) => x[c]
        )][gen],
    tra = List.Transform(to_cols, g),
    to_tbl = Table.FromColumns(tra)
in
    to_tblHi @dhendus, different approach here. Test speed and let me know:
Result:
let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUQpXitWJVnICsiLALGcgKxLMcgGyosAsIANGu6IIuAIZbuhKUGg3IMMdzHIHsjywqvFAF/DEYponioAXkoyXUmwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t]),
    // You can probably delete this step.
    ReplaceBlankToNull = Table.TransformColumns(Source, {}, each if _ = "" then null else _),
    Transform = List.Accumulate(
    List.Buffer(Table.ColumnNames(ReplaceBlankToNull)),
    #table({"_Temp_"}, {{null}}),
    (state, current)=> Table.AddColumn(state, current, each
                [ a = Table.SelectColumns(ReplaceBlankToNull, current),
                  b = Table.Group(a, {current}, {{"All", each _, type table}}, GroupKind.Local, (w,u)=> Byte.From( (Record.Field(w, current) <> "E" and Record.Field(u, current) = "E") or (Record.Field(w, current) = "E" and Record.Field(u, current) = "H") ) ),
                  c = Table.AddColumn(b, "Filled", (x)=> if Record.Field(x, current) = "E" then Table.FillDown(x[All], {current}) else x[All], type table),
                  d = Table.Combine(c[Filled]),
                  e = Table.Column(d, current)
                ][e], type list)
),
    RemovedColumns = Table.RemoveColumns(Transform,{"_Temp_"}),
    ToTable = Table.FromColumns(Table.ToRows(RemovedColumns){0})
in
    ToTable
let
    Source = your_table,
    to_cols = Table.ToColumns(Source),
    g = (lst) => 
        [st = [E = true, H = false],
        gen = List.Generate(
            () => [i = 0, c = lst{0}, fd = c = "E"],
            (x) => x[i] < List.Count(lst),
            (x) => 
                [
                    i = x[i] + 1, 
                    c = if x[fd] then lst{i} ?? x[c] else lst{i}, 
                    fd = Record.FieldOrDefault(st, c ?? "", x[fd])
                ],
            (x) => x[c]
        )][gen],
    tra = List.Transform(to_cols, g),
    to_tbl = Table.FromColumns(tra)
in
    to_tblThat's what I'm talking about, thank you.
Unfortunately, I have memory issues when loading data, in step "Table.FromColumns(tra)" (can not load my data, I've been waiting for an hour and yet not finishing) 
can you suggest something else for this step ?
try to buffer to_cols step:
to_cols = List.Buffer(Table.ToColumns(Source))
Thanks, it dropped to 10 min 🙂
 
					
				
				
			
		
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
Check out the October 2025 Power BI update to learn about new features.
