Error with importing json files from a folder with MoreQuerry

inavas

New Member
Joined
Nov 18, 2023
Messages
2
Office Version
  1. 2021
Platform
  1. MacOS
Hi everyone!

I'm working in MacOs and I have download the MoreQuery extension because I have to import several json files into an Excel data sheet, I'm trying to import them from folder, but when I click the button for combine the files I get this error:
"[Expression.Error] No se puede convertir un valor de tipo Record al tipo Table.
Detalles
isRecoverable: True
isExpected: True"

(It means that it can't convert the Record type value into table type)

If I press the more details button, this is what I get:


---------- Mensaje ----------
[Expression.Error] No se puede convertir un valor de tipo Record al tipo Table.

---------- Id. de sesión ----------
7fb4c486-8054-44dc-b64c-71a480fbfe02

---- Removed the rest of the log content since it contained path names.The short error message already explains the problem. ----

I think that I'm missing something. Should I do some set up? How can I import those json files using MoreQuery?

Thanks a lot!
 
Last edited by a moderator:

Excel Facts

Pivot Table Drill Down
Double-click any number in a pivot table to create a new report showing all detail rows that make up that number
As I can see, the Expand feature doesn't work well with the JSON data on Mac.
1700969745893.png


So, when you click on the double arrow, it starts sampling the data but the autogenerated "Transform Sample File" query that is used to extract data from all JSON files doesn't return a table but record. It is currently generated as below:

1700970485720.png


This is wrong. It should return a table with the code below:
1700970530123.png


So, it is how that this "undocumented" but existing feature works wrong on Mac. The Power Query Developer Team should have forgotten to include this extra line to convert the record to a table. I always wonder why they wouldn't simply use the same procedure as it is on Windows by just excluding the platform dependent functions, but no, they just rewrite everything for Mac.

However, you can do the following to fix this problem manually.

When you are done expanding the column, and get the error you mentioned, edit the Transform Sample File query in the Advanced Editor and copy and paste the following code instead (basically return a table from the JSON record):
Power Query:
let
    Source = Json.Document(Parameter),
    #"Converted to Table1" = Record.ToTable(Source)
in
    #"Converted to Table1"

The actual code then will work without problem and you can continue transforming data.

Note: #"Converted to Table1" is just an identifier name that I copied and paste from Windows above. You can use anything else that doesn't conflict with another query or identifier.
 
Upvote 0
Thanks so much! This is working good.

Last question, when I import the json and it have some arrays, they appear as
  • in the excel file, how can I access to that values?

    Thanks!
 
Upvote 0
It all depends on your JSON file structure. Let's say you have the following JSON files.

file1.json
JSON:
{
"people": [
  {
    "firstName": "Joe",
    "lastName": "Jackson",
    "gender": "male",
    "age": 28,
    "phone": [
      {
        "name": "Home",
        "number": "1234567890"
      },
      {
        "name": "Work",
        "number": "1234567891"
      }
    ]
  },
  {
    "firstName": "James",
    "lastName": "Smith",
    "gender": "male",
    "age": 32,
    "phone": [
      {
        "name": "Home",
        "number": "1234567892"
      }
    ]
  },
  {
    "firstName": "Emily",
    "lastName": "Jones",
    "gender": "female",
    "age": 24,
    "phone": [
      {
        "name": "Mobile",
        "number": "1234567893"
      },
      {
        "name": "Work",
        "number": "1234567894"
      }
    ]
  }
]
}

file2.json
JSON:
{
  "people": [
    {
      "firstName": "John",
      "lastName": "Smıth",
      "gender": "male",
      "age": 28,
      "phone": [
        {
          "name": "Home",
          "number": "1234567895"
        }
      ]
    },
    {
      "firstName": "Emıly",
      "lastName": "Jones",
      "gender": "female",
      "age": 22,
      "phone": [
        {
          "name": "Mobile",
          "number": "1234567896"
        },
        {
          "name": "Home",
          "number": "1234567897"
        }
      ]
    }
  ]
}

In this case, we have a root record item called as "people" and it has individual records with properties. Additionally, there is a "phone" property that can contain multiple record items (more than one phone number for each individual).

In this case, we get the following result after expanding the table column:
1701028724034.png


Each list element represents multiple individual records coming from different JSON files. The first step is expanding the Value column, so each individual record is expanded as a new row.
1701028802088.png


* The first column, Name, has no use and could be even removed at the first step.

Then we can expand the record column by selecting the properties (fields) that we would like to include into our report.
1701028878705.png


Now we are getting somewhere. I assume your question is about the phone column here. Each item in this column is a list containing phone numbers, basically it is an array.
1701028943722.png


If you extract this list column and then records afterwards, you'll get the following result but it will create duplicate records for each person having multiple phone numbers.
1701029111206.png


Now, you'll need to decide how you want your report is displayed. Perhaps filtering only Work phone numbers that will make sure single record for each person, or get the phone numbers into the new columns which will require more advanced transformation.

In any case at this point, it is a completely new subject and you should post a new question with the sample data you'd like to transform.
 
Upvote 0

Forum statistics

Threads
1,223,892
Messages
6,175,236
Members
452,621
Latest member
Laura_PinksBTHFT

We've detected that you are using an adblocker.

We have a great community of people providing Excel help here, but the hosting costs are enormous. You can help keep this site running by allowing ads on MrExcel.com.
Allow Ads at MrExcel

Which adblocker are you using?

Disable AdBlock

Follow these easy steps to disable AdBlock

1)Click on the icon in the browser’s toolbar.
2)Click on the icon in the browser’s toolbar.
2)Click on the "Pause on this site" option.
Go back

Disable AdBlock Plus

Follow these easy steps to disable AdBlock Plus

1)Click on the icon in the browser’s toolbar.
2)Click on the toggle to disable it for "mrexcel.com".
Go back

Disable uBlock Origin

Follow these easy steps to disable uBlock Origin

1)Click on the icon in the browser’s toolbar.
2)Click on the "Power" button.
3)Click on the "Refresh" button.
Go back

Disable uBlock

Follow these easy steps to disable uBlock

1)Click on the icon in the browser’s toolbar.
2)Click on the "Power" button.
3)Click on the "Refresh" button.
Go back
Back
Top