Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

We've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now

Reply
leewsimpson
Frequent Visitor

Parsing JSON into multiple rows

Im parsing the JSON from trello.  I would also like to extract custom fields.  I get to one point where the custom field data looks like this: (value in one row)

 

IDFields

3

{"fields":{"xmaYRYg4-gwN69I":"200","xmaYRYg4-0NnxwQ":"8"}}

 

I would like to extract this into multiple rows:

 

IDFieldNameFieldValue

3

xmaYRYg4-gwN69I200 

3

xmaYRYg4-0NnxwQ   3


I can use the normal expand - however that 'hardcodes' the field names into table column names.   I need to be able to refresh the data and no have the parsing fail with differeent field names.

 

 

1 ACCEPTED SOLUTION
Anonymous
Not applicable

@leewsimpson,

You can perform these steps in Query Editor(split column, remove columns, unpivot columns, split column, rename columns) of Power BI to get the above result. The steps generate the following code in Advanced Editor, you can copy the following code and paste to the Advanced Editor of a blank query to test it.
1.JPG

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlbSUaqOUUrLTM1JKY5RsgKyK3ITI4Mi001008v9zCw9gYIxSkYGBjFKOkhyBn55FeWBYDmLGKXaWqXYWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, Fields = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"Fields", type text}}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Changed Type", "Fields", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Fields.1", "Fields.2"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Fields.1", type text}, {"Fields.2", type text}}),
    #"Split Column by Delimiter1" = Table.SplitColumn(#"Changed Type1", "Fields.1", Splitter.SplitTextByDelimiter("{", QuoteStyle.Csv), {"Fields.1.1", "Fields.1.2", "Fields.1.3"}),
    #"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter1",{{"Fields.1.1", type text}, {"Fields.1.2", type text}, {"Fields.1.3", type text}}),
    #"Split Column by Delimiter2" = Table.SplitColumn(#"Changed Type2", "Fields.2", Splitter.SplitTextByDelimiter("}", QuoteStyle.Csv), {"Fields.2.1", "Fields.2.2", "Fields.2.3"}),
    #"Changed Type3" = Table.TransformColumnTypes(#"Split Column by Delimiter2",{{"Fields.2.1", type text}, {"Fields.2.2", type text}, {"Fields.2.3", type text}}),
    #"Removed Columns" = Table.RemoveColumns(#"Changed Type3",{"Fields.1.1", "Fields.1.2", "Fields.2.2", "Fields.2.3"}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Removed Columns", {"ID"}, "Attribute", "Value"),
    #"Split Column by Delimiter3" = Table.SplitColumn(#"Unpivoted Columns", "Value", Splitter.SplitTextByDelimiter(":", QuoteStyle.Csv), {"Value.1", "Value.2"}),
    #"Changed Type4" = Table.TransformColumnTypes(#"Split Column by Delimiter3",{{"Value.1", type text}, {"Value.2", Int64.Type}}),
    #"Removed Columns1" = Table.RemoveColumns(#"Changed Type4",{"Attribute"}),
    #"Renamed Columns" = Table.RenameColumns(#"Removed Columns1",{{"Value.1", "FieldsName"}, {"Value.2", "FieldsValue"}})
in
    #"Renamed Columns"



Regards,
Lydia

View solution in original post

1 REPLY 1
Anonymous
Not applicable

@leewsimpson,

You can perform these steps in Query Editor(split column, remove columns, unpivot columns, split column, rename columns) of Power BI to get the above result. The steps generate the following code in Advanced Editor, you can copy the following code and paste to the Advanced Editor of a blank query to test it.
1.JPG

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlbSUaqOUUrLTM1JKY5RsgKyK3ITI4Mi001008v9zCw9gYIxSkYGBjFKOkhyBn55FeWBYDmLGKXaWqXYWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, Fields = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"Fields", type text}}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Changed Type", "Fields", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Fields.1", "Fields.2"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Fields.1", type text}, {"Fields.2", type text}}),
    #"Split Column by Delimiter1" = Table.SplitColumn(#"Changed Type1", "Fields.1", Splitter.SplitTextByDelimiter("{", QuoteStyle.Csv), {"Fields.1.1", "Fields.1.2", "Fields.1.3"}),
    #"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter1",{{"Fields.1.1", type text}, {"Fields.1.2", type text}, {"Fields.1.3", type text}}),
    #"Split Column by Delimiter2" = Table.SplitColumn(#"Changed Type2", "Fields.2", Splitter.SplitTextByDelimiter("}", QuoteStyle.Csv), {"Fields.2.1", "Fields.2.2", "Fields.2.3"}),
    #"Changed Type3" = Table.TransformColumnTypes(#"Split Column by Delimiter2",{{"Fields.2.1", type text}, {"Fields.2.2", type text}, {"Fields.2.3", type text}}),
    #"Removed Columns" = Table.RemoveColumns(#"Changed Type3",{"Fields.1.1", "Fields.1.2", "Fields.2.2", "Fields.2.3"}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Removed Columns", {"ID"}, "Attribute", "Value"),
    #"Split Column by Delimiter3" = Table.SplitColumn(#"Unpivoted Columns", "Value", Splitter.SplitTextByDelimiter(":", QuoteStyle.Csv), {"Value.1", "Value.2"}),
    #"Changed Type4" = Table.TransformColumnTypes(#"Split Column by Delimiter3",{{"Value.1", type text}, {"Value.2", Int64.Type}}),
    #"Removed Columns1" = Table.RemoveColumns(#"Changed Type4",{"Attribute"}),
    #"Renamed Columns" = Table.RenameColumns(#"Removed Columns1",{{"Value.1", "FieldsName"}, {"Value.2", "FieldsValue"}})
in
    #"Renamed Columns"



Regards,
Lydia

Helpful resources

Announcements
New to Fabric survey Carousel

New to Fabric Survey

If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.

Join our Fabric User Panel

Join our Fabric User Panel

Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.

March Power BI Update Carousel

Power BI Community Update - March 2026

Check out the March 2026 Power BI update to learn about new features.