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ADF pivot vs fabric dataflow pivot
there is a powerful pivot activity in ADF dataflow. the pivot in fabric dataflow gen2 does not seem to have quite the same functionality as that in ADF. for example: in ADF dataflow pivot it has th...
I created the helper row by using Enter Data. Then I copied the generated M code into the main query manually.
But you can do it easier:
You can create it as a separate query by using Enter Data, and then appending that query to your main query by using the menu option for Append queries.
Something like this?
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQyNlHSUUrKz882BNK5+WWpual5JSB2cUlRYklqeiWInZJaXJBYkpyhkAIUAvINjfQMLPWMDIyMwRx9A0t9KAeCDA0M9AyMQDoNlGJ1aGYNCNHEeJD7DU0N4bbQ1BejgUWsLxAhNUitKcksyUmF2YGMyIxjnOaRGJlYzKEo1ka2P6mdPsg3L7GoKLMsMQfJRCMLoFF61ChfiDKbxPghYCZFcTUaFqS4l5ZpDt3sWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [venture_number = _t, book = _t, movement_name = _t, strategy = _t, name = _t, actual_date = _t, estimated_date = _t, gross = _t, net = _t, actual = _t, percentage = _t]),
#"Changed column type" = Table.TransformColumnTypes(Source, {{"venture_number", Int64.Type}, {"book", type text}, {"movement_name", type text}, {"strategy", type text}, {"name", type text}, {"gross", type number}, {"net", type number}, {"actual", type number}, {"percentage", Int64.Type}}),
#"Changed column type with locale 1" = Table.TransformColumnTypes(#"Changed column type", {{"actual_date", type date}, {"estimated_date", type date}}, "nb-NO"),
#"Removed duplicates" = Table.Distinct(#"Changed column type with locale 1", {"venture_number", "book", "movement_name", "strategy", "name", "actual_date", "estimated_date", "gross", "net", "actual", "percentage"}),
#"Grouped rows" = Table.Group(#"Removed duplicates", {"venture_number", "book", "movement_name", "strategy", "name"}, {{"actual_date", each List.Max([actual_date]), type nullable date}, {"estimated_date", each List.Max([estimated_date]), type nullable text}, {"gross", each List.Max([gross]), type nullable number}, {"net", each List.Max([net]), type nullable number}, {"actual", each List.Max([net]), type nullable number}, {"percentage", each List.Max([percentage]), type nullable Int64.Type}}),
#"Unpivoted only selected columns" = Table.Unpivot(#"Grouped rows", {"actual_date", "estimated_date"}, "Attribute", "Value"),
#"Changed column type with locale" = Table.TransformColumnTypes(#"Unpivoted only selected columns", {{"Value", type date}}, "nb-NO"),
#"Merged columns" = Table.CombineColumns(#"Changed column type with locale", {"name", "Attribute"}, Combiner.CombineTextByDelimiter(" ", QuoteStyle.None), "Merged"),
#"Pivoted column" = Table.Pivot(Table.TransformColumnTypes(#"Merged columns", {{"Merged", type text}}), List.Distinct(Table.TransformColumnTypes(#"Merged columns", {{"Merged", type text}})[Merged]), "Merged", "Value")
in
#"Pivoted column"
How do I use your code?
Can you guide me to create this ib the dstafkow
Tgankyiu
Inside the Dataflow Gen2, you can click Get Data -> Blank query, and then paste the code inside there, then click Next.
I am now implementing your suggestion on the whole actual data. but not sure why the remove duplicates only returns one row whereas it should return four rows similar to the example I sent you
