Category: Transform / Web

This action constructs a JSON object from a tabular dataset. It has two modes: Object per row, array from objects; and Array per column. A constructed JSON object is effectively a regular text value that is stored in a datagrid cell in EasyMorph.

In this mode, each row of the source dataset is used to construct a flat JSON object in which every column value corresponds to one object property. See Example #1, below.

If the source dataset contains multiple rows, they will be converted into an array of JSON objects where each object corresponds to one row. See Example #2, below.

In this mode, the source dataset is converted into a new dataset in which values of each column are rolled up into a JSON array. See Example #3, below.

EasyMorph data types are converted to JSON types as follows:

Note that the action fails if the source dataset contains an error value.

EasyMorph automatically detects if a text value is already a JSON object or a JSON array. In this case, the text value is inserted verbatim, i.e. without wrapping in double-quotes. This feature allows creating complex hierarchical JSON objects that nest other JSON objects. For instance, converting the table below:

would produce the following JSON:

{
  "Track":"Circuit Gilles Villeneuve",
  "Country":"Canada",
  "State/province":"QC",
  "City":"Montreal"
  "Location": {
    "lat":45.500578, 
    "long":-73.522461
  },
  "Hiatus": [1987, 2009]
}

Notice that "Location" is inserted as a JSON object, not as text. Also, the field "Hiatus" is inserted as a JSON array, not as text.

Construct a flat JSON object from the tabular dataset.

{
  "Name":"Rabbit",
  "Kingdom":"Animalia",
  "Phylum":"Chordata",
  "Class": "Mammalia",
}

Mode: Object per row

Create a flat JSON object from the multi-row tabular dataset.

[
  {
    "ID":1,
    "Name":"Apple"
  },
  {
    "ID":2,
    "Name":"Orange"
  }
]

Mode: Object per row

Convert the source table into a dataset in which values of each column are rolled up into a JSON array.

Mode: Array per column

• Example: Constructing JSON (Project; Module: Main; Group: Tab 1; Table: comments; Action position: 2)
• How to create JSON for Airtable API (Project; Module: Main; Group: Tab 1; Table: Table 1; Action position: 6)
• Constructing JSON issue (Project; Module: Main; Group: Tab 1; Table: Construct main JSON; Action position: 4)
• How to publish real-time data to streaming dataset in Power BI (Project; Module: Main; Group: Tab 1; Table: Table 1; Action position: 5)
• Community example: Webrequest and parameters

• Parse JSON
• Functions: IsJson()