PARSEOBJECT Function
Evaluates a String input against the Object datatype. If the input matches, the function outputs an Object value. Input can be a literal, a column of values, or a function returning String values.
After you have converted your strings to objects, if a sufficient percentage of input strings from a column are successfully converted to the other data type, the column may be retyped.
Astuce
If the column is not automatically retyped as a result of this function, you can manually set the type to Object in a subsequent recipe step.
Wrangle vs. SQL: This function is part of Wrangle, a proprietary data transformation language. Wrangle is not SQL. For more information, see Wrangle Language.
Basic Usage
parseobject(strInput)
Output: Returns the Object data type value for strInput String values.
Syntax and Arguments
parseobject(str_input)
Argument | Required? | Data Type | Description |
|---|---|---|---|
str_input | Y | String | Literal, name of a column, or a function returning String values to match |
For more information on syntax standards, see Language Documentation Syntax Notes.
str_input
Literal, column name, or function returning String values that are to be evaluated for conversion to Object values.
Missing values for this function in the source data result in null values in the output.
Multiple columns and wildcards are not supported.
Usage Notes:
Required? | Data Type | Example Value |
|---|---|---|
Yes | String | {"1","2","3"} |
Examples
Astuce
For additional examples, see Common Tasks.
Example - parsing strings as objects
The following table shows a series of requests for inventory on three separate products. These are rolling requests, so inventory levels in the subsequent request are decreased based on the previous request.
date | reqProdId | reqValue | prodA | prodB | prodC |
|---|---|---|---|---|---|
5/10/21 | prodA | 10 | 90 | 100 | 100 |
5/10/21 | prodC | 20 | 90 | 100 | 80 |
5/10/21 | prodA | 15 | 75 | 100 | 80 |
5/11/21 | prodB | 25 | 75 | 75 | 80 |
5/11/21 | prodA | 5 | 70 | 75 | 80 |
5/11/21 | prodC | 30 | 70 | 75 | 50 |
5/12/21 | prodB | 10 | 70 | 65 | 50 |
You must create a column containing the request information and the inventory level information for the requested product after the request has been fulfilled.
Transformation:
The five data columns must be nested into an Object. The generated column is called inventoryLevels.
Transformation Name | |
|---|---|
Parameter: Columns | reqProdId,reqValue,prodA,prodB,prodC |
Parameter: Nest columns to | Object |
Parameter: New column name | inventoryLevels |
You can then build the inventory response column (inventoryResponse) using the FILTEROBJECT function:
Transformation Name | |
|---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | filterobject(parseobject(inventoryRequest), ['reqProdId','reqValue',reqProdId]) |
Parameter: New column name | inventoryResponse |
Results:
The inventoryResponse column contains the request information and the response information after the request has been fulfilled.
date | reqProdId | reqValue | prodA | prodB | prodC | inventoryLevels | inventoryResponse |
|---|---|---|---|---|---|---|---|
5/10/21 | prodA | 10 | 90 | 100 | 100 | {"reqProdId":"prodA","reqValue":"10","prodA":"90","prodB":"100","prodC":"100"} | {"reqProdId":"prodA","reqValue":"10","prodA":"90"} |
5/10/21 | prodC | 20 | 90 | 100 | 80 | {"reqProdId":"prodC","reqValue":"20","prodA":"90","prodB":"100","prodC":"80"} | {"reqProdId":"prodC","reqValue":"20","prodC":"80"} |
5/10/21 | prodA | 15 | 75 | 100 | 80 | {"reqProdId":"prodA","reqValue":"15","prodA":"75","prodB":"100","prodC":"80"} | {"reqProdId":"prodA","reqValue":"15","prodA":"75"} |
5/11/21 | prodB | 25 | 75 | 75 | 80 | {"reqProdId":"prodB","reqValue":"25","prodA":"75","prodB":"75","prodC":"80"} | {"reqProdId":"prodB","reqValue":"25","prodB":"75"} |
5/11/21 | prodA | 5 | 70 | 75 | 80 | {"reqProdId":"prodA","reqValue":"5","prodA":"70","prodB":"75","prodC":"80"} | {"reqProdId":"prodA","reqValue":"5","prodA":"70"} |
5/11/21 | prodC | 30 | 70 | 75 | 50 | {"reqProdId":"prodC","reqValue":"30","prodA":"70","prodB":"75","prodC":"50"} | {"reqProdId":"prodC","reqValue":"30","prodC":"50"} |
5/12/21 | prodB | 10 | 70 | 65 | 50 | {"reqProdId":"prodB","reqValue":"10","prodA":"70","prodB":"65","prodC":"50"} | {"reqProdId":"prodB","reqValue":"10","prodB":"65"} |