Forum Discussion
Reduce table in table to columns
- 5 years ago
Hello Anonymous
check out this dynamically solution. It chooses the first column of your single tables that contains the name "value" and uses it's data for the column. Be aware that the source step it's just here to reproduce your scenario. The transformation you can see in the step "CreateListOfValueColumns "
let Source = #table ( type table [Column1=table, 204 = table], { { #table ( type table [Column1.ColumnName= text, Column1.Value= any ], { { "name1", "value1" }, { "name2", "value2" }, { "name3", "value3" } } ), #table ( type table [Column1.ColumnName= text, Column1.Value= any ], { { "name1", "abc" }, { "name2", "abcddd" } } ) } } ), CreateListOfValueColumns = Table.TransformRows ( Source, (rec)=> Table.TransformColumns ( Record.ToTable(rec), { { "Value", (tbl)=> Table.Column(tbl,List.Select(Table.ColumnNames(tbl), each Text.Contains(Text.Upper(_), "VALUE")){0}) } } )[Value] ){0}, CreateFinalTable = Table.FromColumns(CreateListOfValueColumns,Table.ColumnNames(Source)) in CreateFinalTableCopy paste this code to the advanced editor in a new blank query to see how the solution works. If you need to implement it in your data source let me know
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Kudoes are nice too
Have fun
Jimmy
Anonymous
Do you need to extract only the first column from each table and combine it as one table?
Sample Data will be great.
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- Anonymous5 years agoNot applicable
Fowmy I added more details and code to my post.
- Fowmy5 years agoSuper User
Anonymous
Not very clear about your expected results.________________________
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- Anonymous5 years agoNot applicable
Actually, it is easy to understand.
Maybe this example helps you to understand better, what is the expectation:
I have a result with exactly two result lines.
Now I expand the first colum, so that the stored table there will be included in the table but only with one column.
And I use the column value:
Then I get the two lines in the first column:
Now I expand the second column, because I need data there and not tables:
Now I got 4 lines, instead of two, because for each line the previous line is expanded and that is wrong.
In the end the results will be multiplied, and not just showing the results of the table columns in one table.
- Anonymous5 years agoNot applicable
I didn't read the last post, but as far as I understand from the first, I propose this idea to you
use/adapt this query
let colN=Table.ColumnNames(correct), colnames=List.Transform(Table.ColumnNames(correct[aaa]{0}), each colN{0}&"."&_) &List.Transform(Table.ColumnNames(correct[bbb]{0}), each colN{1}&"."&_), Source = Table.FromColumns(Table.ToColumns(correct[aaa]{0})&Table.ToColumns(correct[bbb]{0}),colnames) in Sourcewhere the table correct is the following:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSkxMVNJRMgRhQ6VYnWilpKQkIMcIhI3AAhAVxiBsjCRgAsImSFpMQdhUKTYWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [name = _t, val1 = _t, val2 = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"name", type text}, {"val1", Int64.Type}, {"val2", Int64.Type}}), #"Grouped Rows" = Table.Group(#"Changed Type", {"name"}, {{"all", each _, type table [name=nullable text, val1=nullable number, val2=nullable number]}}), #"Transposed Table" = Table.Transpose(#"Grouped Rows"), #"Promoted Headers" = Table.PromoteHeaders(#"Transposed Table", [PromoteAllScalars=true]), #"Changed Type1" = Table.TransformColumnTypes(#"Promoted Headers",{{"aaa", type any}, {"bbb", type any}}) in #"Changed Type1"then from this
you get this
and not this which is the "wrong" query