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JSON Parse tool JSON 解析工具

单个工具示例

JSON 解析具有一个“单个工具示例”。转至示例工作流以了解如何在 Alteryx Designer 中访问此示例和其他更多示例。

使用 JSON 解析将 JavaScript Object Notation (JSON) 文本分隔为表格架构，以便进行下游处理。将输出结果输入

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

纽约

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:

字段名称

描述

JSON_Name

JSON_Name 是 JSON 对象（键:值对）中的“键”。键和任何分级类别之间用点隔开。

JSON_Value String

JSON 对象（键:值对）中对应的字符串“值”。如果该值不是字符串，它将显示为 [Null]。

JSON_ValueInt

JSON 对象（键:值对）中对应的整数“值”。如果该值不是整数，它将显示为 [Null]。

JSON_ValueFloat

JSON 对象（键:值对）中对应的浮点数“值”。如果该值不是浮点数，它将显示为 [Null]。

JSON_ValueBool

JSON 对象（键:值对）中对应的布尔“值”。如果该值不是布尔值，它将显示为 [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_Name

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

纽约

[Null]

[Null]

[Null]

address.state

NY

[Null]

[Null]

[Null]

address.postalCode

10021

[Null]

[Null]

[Null]

phoneNumber.0.type

home

[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.

警告

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.

警告

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

本节内容如下: