parseJson

Use parseJson to extract values from a JSON object.

If your dataset is stored in QuickSight SPICE, you can use parseJson when you are preparing a data set, but not in calculated fields during analysis.

For direct query, you can use parseJson both during data preparation and analysis. The parseJson function applies to either strings or to JSON native data types, depending on the dialect, as shown in the following table.

Dialect	Type
PostgreSQL	JSON
Amazon Redshift	String
Microsoft SQL Server	String
MySQL	JSON
Teradata	JSON
Oracle	String
Presto	String
Snowflake	Semistructured data type object and array
Hive	String

Syntax

parseJson(fieldName, path)

Arguments

fieldName

The field containing the JSON object that you want to parse.

path

The path to the data element you want to parse from the JSON object. Valid path syntax includes:

• $ – Root object

• . – Child operator

• [ ] – Subscript operator for array

Return type

String

Example

The following example evaluates incoming JSON to retrieve a value for item quantity. By using this during data preparation, you can create a table out of the JSON.

parseJson({jsonField}, “$.items.qty”)

The following shows the JSON.

{
    "customer": "John Doe",
    "items": {
        "product": "Beer",
        "qty": 6
    },
    "list1": [
        "val1",
        "val2"
    ],
    "list2": [
        {
            "list21key1": "list1value1"
        }
    ]
}

For this example, the following value is returned.

6

Example

The following example evaluates JSONObject1 to extract the first key value pair (KVP), labeled "State", and assign the value to the calculated field that you are creating.

parseJson(JSONObject1, “$.state”)

The following are the given field values.

JSONObject1
-----------
{"State":"New York","Product":"Produce","Date Sold":"1/16/2018","Sales Amount":"$3423.39"}
{"State":"North Carolina","Product":"Bakery Products","Date Sold":"2/1/2018","Sales Amount":"$3226.42"}
{"State":"Utah","Product":"Water","Date Sold":"4/24/2018","Sales Amount":"$7001.52"}

For these field values, the following rows are returned.

New York
North Carolina
Utah