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whenever I pull data from SSAS tables, they come as like this.
I want to bulk rename the colNames in a way that returns the value inside parenthesis
My end goal is this
I tried this. Is it the best-optimized way to do this, I want the best optimization possible for a large tbl.
CT = Table.TransformColumnTypes(
src,
{{"db[colA]", Int64.Type}, {"db[colB]", Int64.Type}, {"db[colC]", Int64.Type}}
),
Change = Table.TransformColumnNames(CT, each Text.Replace(Text.Split(_, "["){1}, "]", ""))
let
src=Table.FromRows(
Json.Document(
Binary.Decompress(
Binary.FromText("i45WMlTSUTICYmOlWJ1oJRMgyxSIzZRiYwE=", BinaryEncoding.Base64),
Compression.Deflate
)
),
let
_t = ((type nullable text) meta [Serialized.Text = true])
in
type table [#"db[colA]" = _t, #"db[colB]" = _t, #"db[colC]" = _t]
),
CT = Table.TransformColumnTypes(
src,
{{"db[colA]", Int64.Type}, {"db[colB]", Int64.Type}, {"db[colC]", Int64.Type}}
),
Change = Table.TransformColumnNames(CT, each Text.Replace(Text.Split(_, "["){1}, "]", ""))
in
Change
Thank you in advance.
Solved! Go to Solution.
I would try this way first, in a single rename columns step using List.Zip and List.Transform.
let
src=Table.FromRows(
Json.Document(
Binary.Decompress(
Binary.FromText("i45WMlTSUTICYmOlWJ1oJRMgyxSIzZRiYwE=", BinaryEncoding.Base64),
Compression.Deflate
)
),
let
_t = ((type nullable text) meta [Serialized.Text = true])
in
type table [#"db[colA]" = _t, #"db[colB]" = _t, #"db[colC]" = _t]
),
#"Renamed Columns" = Table.RenameColumns(src,List.Zip({Table.ColumnNames(src), List.Transform(Table.ColumnNames(src), each Text.BetweenDelimiters(_, "[", "]"))}))
in
#"Renamed Columns"
Pat
To learn more about Power BI, follow me on Twitter or subscribe on YouTube.
I have a custom function ShortenColumnNames that I run on all of these:
(Source as table) as table =>
let
ColNamesList = Table.ColumnNames(Source),
Transform = Table.RenameColumns(Source,
List.Transform(ColNamesList, each {_, Text.BetweenDelimiters(_, "[", "]")}))
in
Transform
So each of my SSAS queries starts like this (I keep the DAX queries separately):
let
Source = AnalysisServices.Database(Workspace, Dataset, [Query=DAXQuery, Implementation="2.0"]),
RenameCols = ShortenColumnNames(Source),
[...etc...]
Thanks @mahoneypat @AlexisOlson
I tested out each of our Query plan
Me, @AlexisOlson and @mahoneypat has exactly the same Query Plan as the following despite using different techniques. I don't know how?
I will use this
Table.TransformColumnNames(src, each Text.BetweenDelimiters(_, "[", "]"))
They actually generate the same list of lists, but I would go with the one from @AlexisOlson too. That approach is more elegant.
Pat
To learn more about Power BI, follow me on Twitter or subscribe on YouTube.
I have a custom function ShortenColumnNames that I run on all of these:
(Source as table) as table =>
let
ColNamesList = Table.ColumnNames(Source),
Transform = Table.RenameColumns(Source,
List.Transform(ColNamesList, each {_, Text.BetweenDelimiters(_, "[", "]")}))
in
Transform
So each of my SSAS queries starts like this (I keep the DAX queries separately):
let
Source = AnalysisServices.Database(Workspace, Dataset, [Query=DAXQuery, Implementation="2.0"]),
RenameCols = ShortenColumnNames(Source),
[...etc...]
I would try this way first, in a single rename columns step using List.Zip and List.Transform.
let
src=Table.FromRows(
Json.Document(
Binary.Decompress(
Binary.FromText("i45WMlTSUTICYmOlWJ1oJRMgyxSIzZRiYwE=", BinaryEncoding.Base64),
Compression.Deflate
)
),
let
_t = ((type nullable text) meta [Serialized.Text = true])
in
type table [#"db[colA]" = _t, #"db[colB]" = _t, #"db[colC]" = _t]
),
#"Renamed Columns" = Table.RenameColumns(src,List.Zip({Table.ColumnNames(src), List.Transform(Table.ColumnNames(src), each Text.BetweenDelimiters(_, "[", "]"))}))
in
#"Renamed Columns"
Pat
To learn more about Power BI, follow me on Twitter or subscribe on YouTube.
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