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.
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 |
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] |
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.
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 |