Parsing a .json column in Power BI

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Solution 1

Use Json.Document function like this

let
    ...
    your_table=imported_the_data_directly_from_the_server,
    json=Table.AddColumn(your_table, "NewColName", each Json.Document([JsonResult]))
in
    json

And then expand record to table using Table.ExpandRecordColumn

Or by clicking this button

enter image description here

Solution 2

There is an easier way to do it, in the Query Editor on the column you want to read as a json:

  • Right click on the column
  • Select Transform>JSON

then the column becomes a Record that you can split in every property of the json using the button on the top right corner.

split columns

Solution 3

Use Json.Document() function to convert string to Json data.

let
    Source = Json.Document(Json.Document(Web.Contents("http://localhost:18091/pools/default/buckets/Aggregation/docs/AvgSumAssuredByProduct"))[json]),
    #"Converted to Table" = Record.ToTable(Source),
    #"Filtered Rows" = Table.SelectRows(#"Converted to Table", each not Text.Contains([Name], "type_")),
    #"Renamed Columns" = Table.RenameColumns(#"Filtered Rows",{{"Name", "AvgSumAssuredByProduct"}}),
    #"Changed Type" = Table.TransformColumnTypes(#"Renamed Columns",{{"Value", type number}})
in
    #"Changed Type"
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eclairs
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eclairs

Updated on July 09, 2022

Comments

  • eclairs
    eclairs almost 2 years

    I want to parse a .json column through Power BI. I have imported the data directly from the server and have a .json column in the data along with other columns. Is there a way to parse this json column?

    Example:

           Key      IDNumber    Module      JsonResult  
           012      200         Dine        {"CategoryType":"dining","City":"mumbai"',"Location":"all"} 
           97       303         Fly         {"JourneyType":"Return","Origin":"Mumbai (BOM)","Destination":"Chennai (MAA)","DepartureDate":"20-Oct-2016","ReturnDate":"21-Oct-2016","FlyAdult":"1","FlyChildren":"0","FlyInfant":"0","PromoCode":""} 
           276      6303        Stay        {"Destination":"Clarion Chennai","CheckInDate":"14-Oct-2016","CheckOutDate":"15-Oct-2016","Rooms":"1","NoOfPax":"2","NoOfAdult":"2","NoOfChildren":"0"}
    

    I wish to retain the other columns and also get the simplified parsed columns.

  • Priyanka Mane
    Priyanka Mane about 7 years
    I followed these steps and got new column contains "Record" as a value in it successfully, but not able to expand the column as it contains null values also. If I apply a filter to remove null value rows then it allow me to expand. How to expand with null values? as other column values are needed where expanded values will be null.
  • Sergey Lossev
    Sergey Lossev about 7 years
    @Priyanka Mane, I don't understand your problem. Nulls are successfully expanded to record, containing null values in fieldnames let t = #table({"col"}, {{[q=1, w=2, e=3]},{null},{[w=22, e=33, r=4]}}), expand = Table.ExpandRecordColumn(t, "col", {"q","w","e","r"}, {"q","w","e","r"}) in expand
  • David Ferenczy Rogožan
    David Ferenczy Rogožan almost 7 years
    How can you use Python in Power BI?
  • Erikk Ross
    Erikk Ross about 6 years
    This should be the accepted answer! I spent a good hour looking at coding solutions, until I saw this, which did it with a few clicks. Thank you!
  • Zach J.
    Zach J. over 5 years
    THIS! I've read so many answers jumping through hoops when there's a built in function that exists in Power BI!
  • Niklas Rosencrantz
    Niklas Rosencrantz over 5 years
    Thanks! The above answer really helped.
  • adrien
    adrien over 5 years
    hello from the future powerbi.microsoft.com/en-us/blog/…
  • OneOfThePetes
    OneOfThePetes over 2 years
    EXACTLY what I need! Thanks bud!