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

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more

Reply
SachinC
Helper V
Helper V

Breaking data down in a JSON string into separate fields

Hi there,

I have a field in my DB that contains a long JSON string of field names and data.

See example below:-

 

{"Id":"9988fe88-1fc9-4826-b26e-9292d8e68a5b","DateCreated":"2017-05-01T11:14:15.374607Z","OperatorName":"ATEMP","EventId":"6a1814d1-4dfa-43b8-ab79-b7a0cfd30ca8","EventName":"xxxxx","EventCode":"17R43/xxxxx","Title":"Mr","Forename":"C","Surname":"yyyyyyyyyy","Line1":"Unit7 Mills Way","Line2":"Somwhere","Line3":"","Town":"Salisbury","County":"Wiltshire","Country":null,"Postcode":"IG8 0QN","PhoneHome":null,"PhoneDay":null,"PhoneMobile":"07768000000","Email":null,"EmailAccount":null,"EmailDomain":null,"ReplacementDate":null,"Notes":null,"VehiclesOfInterest":[{"PreferredDealerId":null,"VehicleModel":"Some Model","VehicleCode":"17MY Something","VehicleBrand":"Bugatti","DealerId":"bec64661-154c-4182-9c67-b2edf285c842","DealerName":"Bugatti UK ","DealerCode":"12810","TestDrive":false,"Brochure":true,"EBrochure":false,"Competition":false,"RegisterForEvent":false,"DpaPost":true,"DpaPhone":true,"DpaSms":false,"DpaEmail":false}]}

 

Does anyone have any ideas on how I can write a DAX query to get this extracted into separate fields?

Thanks.

1 ACCEPTED SOLUTION
v-huizhn-msft
Microsoft Employee
Microsoft Employee

Hi @SachinC,

I try to reproduce your scenario, type the long text in a table.

1.PNG

1. Go to the Query Edit, click split column by comma, you will get the following table.

2.PNG

2. Click Transpose under Transfrom on home page, you will get:

3.png

3. Split the column by ":", then Transpose table again, finally click "use the first row as hearders", you will get expected result.

4.PNG

Please see my Power Query statement as follows.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Text = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Text", type text}}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Changed Type", "Text", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Text.1", "Text.2", "Text.3", "Text.4", "Text.5", "Text.6", "Text.7", "Text.8", "Text.9", "Text.10", "Text.11", "Text.12", "Text.13", "Text.14", "Text.15", "Text.16", "Text.17", "Text.18", "Text.19", "Text.20", "Text.21", "Text.22", "Text.23", "Text.24", "Text.25", "Text.26", "Text.27", "Text.28", "Text.29", "Text.30", "Text.31", "Text.32", "Text.33", "Text.34", "Text.35", "Text.36", "Text.37", "Text.38", "Text.39", "Text.40"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Text.1", type text}, {"Text.2", type text}, {"Text.3", type text}, {"Text.4", type text}, {"Text.5", type text}, {"Text.6", type text}, {"Text.7", type text}, {"Text.8", type text}, {"Text.9", type text}, {"Text.10", type text}, {"Text.11", type text}, {"Text.12", type text}, {"Text.13", type text}, {"Text.14", type text}, {"Text.15", type text}, {"Text.16", type text}, {"Text.17", type text}, {"Text.18", type text}, {"Text.19", type text}, {"Text.20", type text}, {"Text.21", type text}, {"Text.22", type text}, {"Text.23", type text}, {"Text.24", type text}, {"Text.25", type text}, {"Text.26", type text}, {"Text.27", type text}, {"Text.28", type text}, {"Text.29", type text}, {"Text.30", type text}, {"Text.31", type text}, {"Text.32", type text}, {"Text.33", type text}, {"Text.34", type text}, {"Text.35", type text}, {"Text.36", type text}, {"Text.37", type text}, {"Text.38", type text}, {"Text.39", type text}, {"Text.40", type text}}),
    #"Transposed Table" = Table.Transpose(#"Changed Type1"),
    #"Split Column by Delimiter1" = Table.SplitColumn(#"Transposed Table", "Column1", Splitter.SplitTextByEachDelimiter({":"}, QuoteStyle.Csv, false), {"Column1.1", "Column1.2"}),
    #"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter1",{{"Column1.1", type text}, {"Column1.2", type text}}),
    #"Transposed Table1" = Table.Transpose(#"Changed Type2"),
    #"Promoted Headers" = Table.PromoteHeaders(#"Transposed Table1", [PromoteAllScalars=true])
in
    #"Promoted Headers"


Best Regards,
Angelia

View solution in original post

3 REPLIES 3
Anonymous
Not applicable

An easier method is to go in the query editor and right-click the column and on transform choose JSON, then you expand the JSON you want as columns.

Anonymous
Not applicable

👍

v-huizhn-msft
Microsoft Employee
Microsoft Employee

Hi @SachinC,

I try to reproduce your scenario, type the long text in a table.

1.PNG

1. Go to the Query Edit, click split column by comma, you will get the following table.

2.PNG

2. Click Transpose under Transfrom on home page, you will get:

3.png

3. Split the column by ":", then Transpose table again, finally click "use the first row as hearders", you will get expected result.

4.PNG

Please see my Power Query statement as follows.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Text = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Text", type text}}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Changed Type", "Text", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Text.1", "Text.2", "Text.3", "Text.4", "Text.5", "Text.6", "Text.7", "Text.8", "Text.9", "Text.10", "Text.11", "Text.12", "Text.13", "Text.14", "Text.15", "Text.16", "Text.17", "Text.18", "Text.19", "Text.20", "Text.21", "Text.22", "Text.23", "Text.24", "Text.25", "Text.26", "Text.27", "Text.28", "Text.29", "Text.30", "Text.31", "Text.32", "Text.33", "Text.34", "Text.35", "Text.36", "Text.37", "Text.38", "Text.39", "Text.40"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Text.1", type text}, {"Text.2", type text}, {"Text.3", type text}, {"Text.4", type text}, {"Text.5", type text}, {"Text.6", type text}, {"Text.7", type text}, {"Text.8", type text}, {"Text.9", type text}, {"Text.10", type text}, {"Text.11", type text}, {"Text.12", type text}, {"Text.13", type text}, {"Text.14", type text}, {"Text.15", type text}, {"Text.16", type text}, {"Text.17", type text}, {"Text.18", type text}, {"Text.19", type text}, {"Text.20", type text}, {"Text.21", type text}, {"Text.22", type text}, {"Text.23", type text}, {"Text.24", type text}, {"Text.25", type text}, {"Text.26", type text}, {"Text.27", type text}, {"Text.28", type text}, {"Text.29", type text}, {"Text.30", type text}, {"Text.31", type text}, {"Text.32", type text}, {"Text.33", type text}, {"Text.34", type text}, {"Text.35", type text}, {"Text.36", type text}, {"Text.37", type text}, {"Text.38", type text}, {"Text.39", type text}, {"Text.40", type text}}),
    #"Transposed Table" = Table.Transpose(#"Changed Type1"),
    #"Split Column by Delimiter1" = Table.SplitColumn(#"Transposed Table", "Column1", Splitter.SplitTextByEachDelimiter({":"}, QuoteStyle.Csv, false), {"Column1.1", "Column1.2"}),
    #"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter1",{{"Column1.1", type text}, {"Column1.2", type text}}),
    #"Transposed Table1" = Table.Transpose(#"Changed Type2"),
    #"Promoted Headers" = Table.PromoteHeaders(#"Transposed Table1", [PromoteAllScalars=true])
in
    #"Promoted Headers"


Best Regards,
Angelia

Helpful resources

Announcements
Power BI DataViz World Championships

Power BI Dataviz World Championships

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!

December 2025 Power BI Update Carousel

Power BI Monthly Update - December 2025

Check out the December 2025 Power BI Holiday Recap!

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.