The ultimate Microsoft Fabric, Power BI, Azure AI, and SQL learning event: Join us in Stockholm, September 24-27, 2024.
Save €200 with code MSCUST on top of early bird pricing!
Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
hello,
I am looking to get the following result (P is Parent, C is Child).
P_ID | P_Name2 | C_ID_1 | C_ID_2 | C_ID_3 | C_ID_4 | C_Name_1 | C_Name_2 | C_Name_3 | C_Name_4 |
1 | One | 264 | A | ||||||
2 | Two | 154 | 246 | B | C | ||||
3 | Three | 263 | 213 | 182 | 103 | D | D | D | D |
213 | D | 1001 | E |
from this data (in the real data I don't know how many columns the result will need, though I suppose it could be easily established and provided as a parameter).
P_ID | P_Name | C_Name | C_ID |
1 | One | A | 264 |
2 | Two | B | 154 |
2 | Two | C | 246 |
3 | Three | D | 263 |
3 | Three | D | 213 |
3 | Three | D | 182 |
3 | Three | D | 103 |
213 | D | E | 1001 |
I have seen several videos and posts that show me how to get this,
P_ID | P_Name | C_ID1 | C_Name1 | C_ID2 | C_Name2 | HierarchyPath | HierarchyNodeID | HierarchyLevel | IsLeafLevel |
1 | One | 1 | 1 | 1 | FALSE | ||||
2 | Two | 2 | 2 | 1 | FALSE | ||||
3 | Three | 3 | 3 | 1 | FALSE | ||||
1 | One | 264 | A | 1|264 | 264 | 2 | TRUE | ||
2 | Two | 154 | B | 2|154 | 154 | 2 | TRUE | ||
2 | Two | 246 | C | 2|246 | 246 | 2 | TRUE | ||
3 | Three | 263 | D | 3|263 | 263 | 2 | TRUE | ||
3 | Three | 213 | D | 3|213 | 213 | 2 | FALSE | ||
3 | Three | 182 | D | 3|182 | 182 | 2 | TRUE | ||
3 | Three | 103 | D | 3|103 | 103 | 2 | TRUE | ||
3 | Three | 213 | D | 1001 | E | 3|213|1001 | 1001 | 3 | TRUE |
But, that isn't what I want. Perhaps I'm using the wrong search terms. Any help appreciated.
Solved! Go to Solution.
Hello, @androo
let
Source = your_table,
f = (tbl as table) =>
[count = Table.RowCount(tbl),
lst = List.Buffer(List.Transform({1..count}, Text.From)),
ids = Record.FromList(tbl[C_ID], List.Transform(lst, (x) => "C_ID_" & x)),
names = Record.FromList(tbl[C_Name], List.Transform(lst, (x) => "C_Name_" & x)),
res = [id = ids, name = names]][res],
g = Table.Group(Source, {"P_ID", "P_Name"}, {{"all", f}}),
expand = Table.ExpandRecordColumn(g, "all", {"id", "name"}),
id_cols = List.Distinct(List.Combine(List.Transform(expand[id], Record.FieldNames))),
name_cols = List.Distinct(List.Combine(List.Transform(expand[name], Record.FieldNames))),
expand_id = Table.ExpandRecordColumn(expand, "id", id_cols),
expand_name = Table.ExpandRecordColumn(expand_id, "name", name_cols)
in
expand_name
Thanks very much. With some very minor tweaking that has worked very well.
Hello, @androo
let
Source = your_table,
f = (tbl as table) =>
[count = Table.RowCount(tbl),
lst = List.Buffer(List.Transform({1..count}, Text.From)),
ids = Record.FromList(tbl[C_ID], List.Transform(lst, (x) => "C_ID_" & x)),
names = Record.FromList(tbl[C_Name], List.Transform(lst, (x) => "C_Name_" & x)),
res = [id = ids, name = names]][res],
g = Table.Group(Source, {"P_ID", "P_Name"}, {{"all", f}}),
expand = Table.ExpandRecordColumn(g, "all", {"id", "name"}),
id_cols = List.Distinct(List.Combine(List.Transform(expand[id], Record.FieldNames))),
name_cols = List.Distinct(List.Combine(List.Transform(expand[name], Record.FieldNames))),
expand_id = Table.ExpandRecordColumn(expand, "id", id_cols),
expand_name = Table.ExpandRecordColumn(expand_id, "name", name_cols)
in
expand_name
Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Check out the August 2024 Power BI update to learn about new features.