Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
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.
Solved! Go to Solution.
Hi @SachinC,
I try to reproduce your scenario, type the long text in a table.
1. Go to the Query Edit, click split column by comma, you will get the following table.
2. Click Transpose under Transfrom on home page, you will get:
3. Split the column by ":", then Transpose table again, finally click "use the first row as hearders", you will get expected result.
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
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.
👍
Hi @SachinC,
I try to reproduce your scenario, type the long text in a table.
1. Go to the Query Edit, click split column by comma, you will get the following table.
2. Click Transpose under Transfrom on home page, you will get:
3. Split the column by ":", then Transpose table again, finally click "use the first row as hearders", you will get expected result.
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
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
69 | |
68 | |
40 | |
29 | |
26 |
User | Count |
---|---|
88 | |
49 | |
45 | |
38 | |
37 |