How To Parse a XML Column with string data type into multiple sql columns

LearnDB1234
New Contributor III

‎12-12-2024 07:25 AM

Hi,

I have a table with XML data in it which is stored in a column with STRING datatype. Can someone please help me on how to parse this XML into multiple sql columns.Below is the sample XML Table & desired output data

 

 

Select * from default.SampleData

XMLData
'Status': {
        'Code': 'Ok',
        'Message': None,
        'Errors': None
    },
    'RequestReference': None,
    'Response': {
        'IdNumber': '295',
        'SearchKeys': {
            'Subject': {
                'FirstName': 'John',
                'MiddleName': None,
                'Surname': 'Ross',
                'DateOfBirth': datetime.datetime(1900, 1, 31, 0, 0),
                'Gender': 'M'
            },
            'Address': {
                'AddressLine1': '123 old street',
                'AddressLine2': 'high street',
                'AddressLine3': '',
                'AddressLine4': None,
                'AddressLine5': None,
                'Postcode': '12345',
                'Country': None
            },
            'Phone': None,
            'DrivingLicence': None,
            'Bank': None,
            'ConsentFlag': True
        },

 

 

Expected output columns 

 

 

IDNumber   FirstName   MiddleName   LastName  DateOfBirth  AddressLine1     Phone 
295        John                      Ross      1900-01-01   123 Highstreet   None

 

 

Can someone please provide any ideas around this.

 

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Walter_C
Databricks Employee
Databricks Employee

‎12-12-2024 07:31 AM

Have you checked the parse method listed in doc https://docs.databricks.com/en/query/formats/xml.html 

 

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szymon_dybczak
Esteemed Contributor III

‎12-13-2024 12:49 AM - edited ‎12-13-2024 12:50 AM

Hi @LearnDB1234 ,

Are you sure that this column stores xml as a string? To me it looks more like json  string 🙂
If so, you can use new VARIANT data type through parse_json function:

 

 

%sql
WITH src AS (

  SELECT parse_json('{
    "Status": {
        "Code": "Ok",
        "Message": null,
        "Errors": null
    },
    "RequestReference": null,
    "Response": {
        "IdNumber": "295",
        "SearchKeys": {
            "Subject": {
                "FirstName": "John",
                "MiddleName": null,
                "Surname": "Ross",
                "DateOfBirth": "1900-01-31T00:00:00",
                "Gender": "M"
            },
            "Address": {
                "AddressLine1": "123 old street",
                "AddressLine2": "high street",
                "AddressLine3": "",
                "AddressLine4": null,
                "AddressLine5": null,
                "Postcode": "12345",
                "Country": null
            },
            "Phone": null,
            "DrivingLicence": null,
            "Bank": null,
            "ConsentFlag": true
        }
    }
}') as json_column
)
SELECT 
    json_column:Response.IdNumber::INTEGER as id_number,
    json_column:Response.SearchKeys.Subject.FirstName::STRING as first_name,
    json_column:Response.SearchKeys.Subject.MiddleName::STRING as middle_name,
    json_column:Response.SearchKeys.Subject.Surname::STRING as last_name,
    json_column:Response.SearchKeys.Subject.DateOfBirth::STRING as date_of_birth,
    json_column:Response.SearchKeys.Address.AddressLine1::STRING as address_line1,
    json_column:Response.SearchKeys.Phone::STRING as phone
FROM src

 

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LearnDB1234
New Contributor III
In response to szymon_dybczak

‎12-13-2024 09:05 AM

Even though the data in the column seems like a JSON formatted the data type is string, so using your code and suggestions from databricks below is the code i have tried below code:

 

SELECT *,
    get_json_object(XMLData, '$.Response.IdNumber') AS id_number,
    get_json_object(XMLData, '$.Status.Code:') AS Code
FROM default.sampledata;
 
I get NULL values in the output, am i missing something in here?
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