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JSON Parse tool Ferramenta Análise JSON

Fluxo de trabalho de exemplo

A ferramenta Análise JSON tem um fluxo de trabalho de exemplo. Visite Exemplos de fluxos de trabalho para saber como acessar esse e muitos outros exemplos diretamente do Alteryx Designer.

Use a ferramenta Análise JSON para separar texto JavaScript Object Notation (JSON) em um esquema de tabela para fins de processamento posterior. É possível converter o texto de volta ao formato JSON alimentando a saída para a

Configure the Tool

  • JSON Field: Select the fields that hold JSON text. The field must contain valid JSON with all the text for a record in a single cell. Refer to this example:

       {
        "firstName": "John",
        "lastName": "Smith",
        "age": 25,
        "address": {
                "streetAddress": "21 2nd Street",
                "city": "New York",
                "state": "NY",
                "postalCode": "10021"
},
"phoneNumber": [
        {
                "type": "home",
                "number": "212 555-1234"
        },
        {
                "type": "fax",
                "number": "646 555-4567"
        }
    ]
}

  • Input in Output: The selected column is included in the data stream coming out of the tool.

Choose how the JSON gets parsed. Choices include...

  • Output values into single string field

  • Output values into data type specific fields

  • Unnest JSON field: This option is available via AMP only.

  • Flatten array: This option is available via AMP only.

Refer to the sections below for additional information and examples for each of the above options.

Output Values into Single String Field

This option outputs 2 fields: JSON_Name and JSON_ValueString. Using the input example above, this data comes out of the tool:

Example

JSON Input
   {
        "firstName": "John",
        "lastName": "Smith",
        "age": 25,
        "address": {
                "streetAddress": "21 2nd Street",
                "city": "New York",
                "state": "NY",
                "postalCode": "10021"
},
"phoneNumber": [
        {
                "type": "home",
                "number": "212 555-1234"
        },
        {
                "type": "fax",
                "number": "646 555-4567"
        }
    ]
}
JSON Parse Tool Output

JSON_Name

JSON_ValueString

firstName

John

lastName

Smith

age

25

address.streetAddress

21 2nd Street

address.city

New York

address.state

NY

address.postalCode

10021

phoneNumber.0.type

home

phoneNumber.0.number

212-555-1234

phoneNumber.1.type

fax

phoneNumber.1.number

646-555-4567

Output Values into Data Type Specific Fields

This option outputs these 5 fields:

Nome do campo

Descrição

JSON_Name

JSON_Name é a "chave" de um objeto JSON (par chave-valor). Um ponto separa a chave de quaisquer categorias hierárquicas.

JSON_Value String

O "valor" de cadeia de caracteres correspondente ao objeto JSON (par chave-valor). Se o valor não for uma cadeia de caracteres, ele é exibido como [Null].

JSON_ValueInt

O "valor" de número inteiro correspondente ao objeto JSON (par chave-valor). Se o valor não for um número inteiro, ele será exibido como [Null].

JSON_ValueFloat

O "valor" float correspondente ao objeto JSON (par chave-valor). Se o valor não for um float, ele é exibido como [Null].

JSON_ValueBool

O "valor" booleano correspondente ao objeto JSON (par chave-valor). Se o valor não for booleano, ele é exibido como [Null].

Example

JSON Input
   {
        "firstName": "John",
        "lastName": "Smith",
        "age": 25,
        "address": {
                "streetAddress": "21 2nd Street",
                "city": "New York",
                "state": "NY",
                "postalCode": "10021"
},
"phoneNumber": [
        {
                "type": "home",
                "number": "212 555-1234"
        },
        {
                "type": "fax",
                "number": "646 555-4567"
        }
    ]
}
JSON Parse Tool Output

JSON_Nome

JSON_ValueString

JSON_ValueInt

JSON_ValueFloat

JSON_ValueBool

firstName

John

[Null]

[Null]

[Null]

lastName

Smith

[Null]

[Null]

[Null]

age

[Null]

25

[Null]

[Null]

address.streetAddress

21 2nd Street

[Null]

[Null]

[Null]

address.city

Nova York

[Null]

[Null]

[Null]

address.state

NY

[Null]

[Null]

[Null]

address.postalCode

10021

[Null]

[Null]

[Null]

phoneNumber.0.type

início

[Null]

[Null]

[Null]

phoneNumber.0.number

212-555-1234

[Null]

[Null]

[Null]

phoneNumber.1.type

fax

[Null]

[Null]

[Null]

phoneNumber.1.number

646-555-4567

[Null]

[Null]

[Null]

Unnest JSON Field (AMP Only)

This option allows to un-nest JSON objects into columns. It goes only one level deeper into the JSON object.

Atenção

Unnest JSON Field is available via AMP only.

Example

JSON Input

Consider an "hours" column in the input with these values:

{    
    "Tuesday": {"close": "17:00", "open": "08:00"},
    "Friday": {"close": "17:00", "open": "08:00"},
    "Monday": {"close": "17:00", "open": "08:00"},
    "Wednesday": {"close": "17:00", "open": "08:00"},
    "Thursday": {"close": "17:00", "open": "08:00"}
}
JSON Parse Tool Output

This is the output when you unnest the above "hours" column:

hours.Tuesday

hours.Friday

hours.Monday

hours.Wednesday

hours.Thursday

{"close":"17:00","open":"08:00"}

{"close":"17:00","open":"08:00"}

{"close":"17:00","open":"08:00"}

{"close":"17:00","open":"08:00"}

{"close":"17:00","open":"08:00"}

  • Unnest on the "hours" column outputs columns "hours.Tuesday", "hours.Friday", "hours.Monday" and so on.

  • "hours.Tuesday" continues to carry the object: {"close": "17:00", "open": "08:00"}. You can unnest this again to hours.Tuesday.close and hours.Tuesday.open with another Json Parse tool.

Flatten Array (AMP Only)

This option is applicable for columns that have array values only. It allows you to expand a JSON array column by removing the square brackets. It creates a separate row for each element separated by a comma and assigns an ID for each row.

Atenção

Flatten Array is available via AMP only.

Example

JSON Input

Consider this array input in square brackets where the column name is "hours" and the column value is an array:

[    
    {"day": "Monday", "open": "08:00", "close": "17:00"},
    {"day": "Tuesday", "open": "08:00", "close": "17:00"},
    {"day": "Wednesday", "open": "08:00", "close": "17:00"},
    {"day": "Thursday", "open": "08:00", "close": "17:00"},
    {"day": "Friday", "open": "08:00", "close": "17:00"}
]
JSON Parse Tool Output

hours_flatten

hours_idx

{"day":"Monday","open":"08:00","close":"17:00"}

1

{"day":"Tuesday","open":"08:00","close":"17:00"}

2

{"day":"Wednesday","open":"08:00","close":"17:00"}

3

{"day":"Thursday","open":"08:00","close":"17:00"}

4

{"day":"Friday","open":"08:00","close":"17:00"}

5

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