Strumento di Analisi JSON
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Analisi JSON dispone dell'opzione Esempio di uno strumento. Consulta Esempi di flussi di lavoro per scoprire come accedere a questo e a molti altri esempi direttamente in Alteryx Designer.
Utilizza Analisi JSON per separare il testo JSON (JavaScript Object Notation) in uno schema di tabella per l'elaborazione a valle. Può essere ricostruito in formato JSON fruibile inserendo l'output nello
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 |
---|---|
Nome | John |
Cognome | 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 |
This option outputs these 5 fields:
Nome del campo | Descrizione |
---|---|
JSON_Name | JSON_Name è la "chiave" di un oggetto JSON (coppia chiave:valore). Un punto separa la chiave da qualsiasi categoria gerarchica. |
Stringa JSON_Value | Il "valore" della stringa corrispondente dell'oggetto JSON (coppia chiave:valore). Se il valore non è una stringa, verrà visualizzato come [Null]. |
JSON_ValueInt | Il "valore" intero corrispondente dell'oggetto JSON (coppia chiave:valore). Se il valore non è un numero intero, verrà visualizzato come [Null]. |
JSON_ValueFloat | Il "valore" mobile corrispondente dell'oggetto JSON (coppia chiave:valore). Se il valore non è mobile, viene visualizzato come [Null]. |
JSON_ValueBool | Il "valore" booleano corrispondente dell'oggetto JSON (coppia chiave:valore). Se il valore non è un booleano, verrà visualizzato come [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 |
---|---|---|---|---|
Nome | John | [Null] | [Null] | [Null] |
Cognome | Smith | [Null] | [Null] | [Null] |
age | [Null] | 25 | [Null] | [Null] |
address.streetAddress | 21 2nd Street | [Null] | [Null] | [Null] |
address.city | New York | [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.
Avvertimento
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.
Avvertimento
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 |