Forum Discussion
smpa01
1 year agoCommunity Champion
Dynamically generate column schema as record
Is it possible to generate dynamically for all columns of a given table the following
[id=nullable Int64.Type, year=nullable Int64.Type, amount=nullable number, ing_est=nullable datetime]
sample query
let
src=Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("lZBBCsMwDAT/4nMiVivLtvSO3EL+/4267aUlhWJdBIJhR3ueZUSUrRD0uXaFjjCprfX3te6IHfVAJDxJ0WaYU67tg60v1jkqhCugzYXlJOuNTuntm1RPjGQVRL+Tr//oGOai3WyF/aGpI9GTsytiRdOPmaNMhlhd1PzH3jT9UOQslE08FjVnzpN0ib6seWevBw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [id = _t, year = _t, amount = _t, ing_est = _t]),
ct = Table.TransformColumnTypes(src,{{"id", Int64.Type}, {"year", Int64.Type}, {"amount", type number}, {"ing_est", type datetime}}),
#"Grouped Rows" = Table.Group(ct, {"id"}, {{"ad", each _, type table [id=nullable Int64.Type, year=nullable Int64.Type, amount=nullable number, ing_est=nullable datetime]}})
in
#"Grouped Rows"
Now I probably see what you want to achive. You want to replace this part of Table.Group. Is that correct?
If yes, you can just delete that part of Table.Group and use Table.Combine to preserve column types, like this:
let src=Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("lZBBCsMwDAT/4nMiVivLtvSO3EL+/4267aUlhWJdBIJhR3ueZUSUrRD0uXaFjjCprfX3te6IHfVAJDxJ0WaYU67tg60v1jkqhCugzYXlJOuNTuntm1RPjGQVRL+Tr//oGOai3WyF/aGpI9GTsytiRdOPmaNMhlhd1PzH3jT9UOQslE08FjVnzpN0ib6seWevBw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [id = _t, year = _t, amount = _t, ing_est = _t]), ct = Table.TransformColumnTypes(src,{{"id", Int64.Type}, {"year", Int64.Type}, {"amount", type number}, {"ing_est", type datetime}}, "en-US"), GroupedRows = Table.Group(ct, {"id"}, {{"ad", each _, type table}}), Combined = Table.Combine(GroupedRows[ad]) in Combined
10 Replies
- dufoq3Community Champion
Hi smpa01, check this:
Output:
let src=Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("lZBBCsMwDAT/4nMiVivLtvSO3EL+/4267aUlhWJdBIJhR3ueZUSUrRD0uXaFjjCprfX3te6IHfVAJDxJ0WaYU67tg60v1jkqhCugzYXlJOuNTuntm1RPjGQVRL+Tr//oGOai3WyF/aGpI9GTsytiRdOPmaNMhlhd1PzH3jT9UOQslE08FjVnzpN0ib6seWevBw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [id = _t, year = _t, amount = _t, ing_est = _t]), ct = Table.TransformColumnTypes(src,{{"id", Int64.Type}, {"year", Int64.Type}, {"amount", type number}, {"ing_est", type datetime}}, "en-US"), GroupedRows = Table.Group(ct, {"id"}, {{"ad", each _, type table}, {"Schema", each Record.FromTable(Table.RenameColumns(Table.Schema(_)[[Name], [TypeName]], {{"TypeName", "Value"}}, MissingField.Ignore)), type record}}) in GroupedRows- smpa01Community Champion
dufoq3 this is good but I want to dynamically pass on that bit to finally give me the following
//didnot work let src=Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("lZBBCsMwDAT/4nMiVivLtvSO3EL+/4267aUlhWJdBIJhR3ueZUSUrRD0uXaFjjCprfX3te6IHfVAJDxJ0WaYU67tg60v1jkqhCugzYXlJOuNTuntm1RPjGQVRL+Tr//oGOai3WyF/aGpI9GTsytiRdOPmaNMhlhd1PzH3jT9UOQslE08FjVnzpN0ib6seWevBw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [id = _t, year = _t, amount = _t, ing_est = _t]), ct = Table.TransformColumnTypes(src,{{"id", Int64.Type}, {"year", Int64.Type}, {"amount", type number}, {"ing_est", type datetime}}, "en-US"), GroupedRows = let x = Table.Group(ct, {"id"}, {{"ad", each _, type table}, {"Schema", each Record.FromTable(Table.RenameColumns(Table.Schema(_)[[Name], [TypeName]], {{"TypeName", "Value"}}, MissingField.Ignore)), type record}})[Schema]{0} in Table.Group(ct, {"id"}, {{"ad", each _, type table x}}) in GroupedRows- dufoq3Community Champion
What is the purpose of this? Do you want to replase table types with another table types or what? If yes, there is more efficient way:
let Source = #table(type table[Name=text, Age=Int64.Type, Date of Birth=date], {{"Peter", 20, #date(2000,10,15)}, {"Martin", 25, #date(2003,12,10)}}), ChangedType = Table.TransformColumnTypes(Source,{{"Age", type number}, {"Date of Birth", type datetime}}), RestoredTypes = Value.ReplaceType(ChangedType, Value.Type(Source)) in RestoredTypes
- PwerQueryKeesSuper User