Parsing of CSV files in CDM

  • Release version: Zurich
  • Updated July 31, 2025
  • 3 minutes to read
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    Summary of Parsing of CSV files in CDM

    The CDM CSV parser in the Zurich release enables ServiceNow customers to upload and manage configuration data from CSV files efficiently within the Common Data Model (CDM). By parsing CSV files according to the CSV standard RFC 4180, it converts CSV data into JSON format, facilitating easy identification, validation, and manipulation of configuration data and its associated metadata in the CDM editor or list view. This capability is essential for importing and exporting configuration data while preserving data integrity and format.

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    Note: DevOps Config is deprecated and unavailable for new activations.

    Key Features

    • CSV to JSON Parsing: Converts each CSV record into indexed JSON nodes under a data node, with metadata stored separately under a metadata node.
    • Data Format Attributes: Supports customizable parsing options such as:
      • delimiter: Defines the character separating fields (default is comma).
      • containsHeader: Indicates if the first CSV row is a header (default true).
      • headers: Allows specifying custom headers if the CSV lacks a header row.
      • securedHeaders: Specifies which fields should appear encrypted in JSON output for sensitive data.
    • Validation: Validates imported CSV data for deployment readiness within CDM.
    • CSV Export from JSON: Converts JSON back to CSV while retaining original data format attributes, ensuring consistent delimiter, headers, and secured fields are maintained.

    Practical Use

    When importing CSV files, the parser uses the provided or default data format attributes to accurately interpret and convert data. For example, if no headers exist in the CSV, you can supply them explicitly. Fields marked as secured will be encrypted in the JSON output to protect sensitive information such as salaries.

    During export, including data and metadata nodes in your JSON ensures the CSV output matches the original format, preserving delimiters, headers, and any secured field markings.

    Key Outcomes

    • Enables seamless transition of configuration data between CSV and JSON formats within CDM.
    • Improves data accuracy by explicitly handling headers, delimiters, and secured fields.
    • Facilitates secure handling of sensitive data when displayed in JSON.
    • Supports validation and deployment workflows by ensuring data integrity during import.
    • Maintains consistency of configuration data format during export back to CSV.

    The CDM CSV parser enables parsing of data in CSV files, so when you upload config data from a Comma-Separated Values (CSV) file into CDM, you can easily identify the data format attributes and config data in the CDM editor or list view.

    Important:
    DevOps Config is now deprecated and no longer supported or available for new activation.
    The CDM CSV parser follows the CSV standard RFC 4180. This parsing of data from a CSV file to a JSON format in CDM helps you in the following ways:
    • Uploading existing config data from a CSV file with custom header and delimiter attributes to parse them as appropriate key-value pairs in JSON.
    • Differentiating data format attributes (metadata) from the config data items (data) in the CDM editor.
    • Validating imported CSV data in CDM for deployment.
    • Converting config data from JSON format to CSV format with attributes in the original format.

    Parsing of CSV to JSON during import

    When you import a CSV file into CDM, the parser converts the data in CSV format to the JSON format as follows:
    • Adds each record from the CSV file as a CDI in separate indexed nodes under the data node in JSON format.
    • Adds the data format attributes used during CSV upload under the metadata node.

      The query parameter dataFormatAttributes includes attributes for determining the delimiter, headers, first row as header, and secured headers.

      Table 1. Attributes for the CDM CSV parser
      Attribute name Description
      delimiter Character to separate out each header field as a key and the record field as a value of a CDI. You can specify a valid character as the delimiter.

      Default: "delimiter": ",".

      containsHeader Option to determine whether the first row in the CSV file is considered as the header row. This attribute is optional.
      • true: The CSV file contains the first row as the header.
      • false: The CSV file doesn't have the first row as the header. In this case, you must provide the headers in the headers attribute.

      Default: "containsHeader": "true".

      headers List of header fields for record fields in the CSV file. These headers are converted to the key names of the CDIs in the JSON format.
      Note:
      This attribute is applicable only if the containsHeader attribute is set to false.

      If your CSV file doesn't have the first row with headers, you can provide an array of headers. The number of headers must match the number of record fields. Example: "headers": ["FirstName","LastName","Location","Salary"].

      Default: An empty array: "headers": [].

      securedHeaders List of header fields for which the value for all records is displayed in the encrypted format in the JSON format. This attribute is optional.

      You can provide an array of headers that must be secured. The name of the secured headers must match the name of the headers in the headers attribute or CSV file. Example: "securedHeaders": ["Salary"].

      Default: An empty array: "securedHeaders": [].

    Conversion of CSV to JSON format

    This example shows the given data format attributes and the conversion of CSV content to the JSON format based on these attributes.
    Data format attributes
    Note:
    This parameter is optional. If you don't provide values, the default values of the attributes are used.

    { "delimiter": ",", "containsHeader": "true", "headers": [], "securedHeaders": ["salary"] }

    CSV format
    //Sample CSV file content: no header in the first row; each line represents a record 
      FirstName,LastName,Location,Salary
      David,Ben,NYC,1000
      Jakes D,Ron,IRE,1220
      "George, R",Martin,US,12120
      "Antony, ""Ron",Mak,US,1210
    JSON format
    
    //data node for the records from CSV - each record row converted to individual nodes with fields separated by delimiter character converted to individual items of the node{
    	"data": {   
    		"0": {
    			"FirstName": "David",
    			"LastName": "Ben",
    			"Location": "NYC",
    			"Salary": "*****"
    		},
    		"1": {
    			"FirstName": "Jakes D",
    			"LastName": "Ron",
    			"Location": "IRE",
    			"Salary": "*****"
    		},
    		"2": {
    			"FirstName": "George, R",  //the name has a delimiter char so the full name is enclosed within " "
    			"LastName": "Martin",
    			"Location": "US",
    			"Salary": "******"
    		},
    		"3": {
    			"FirstName": "Antony, \"Ron", //the last name has "" so a \ is added to include " in the last name
    			"LastName": "Mak",
    			"Location": "US",
    			"Salary": "*****"
    		}
    	},
    //metadata added for the data format attributes
    	"metadata": {   
    		"containsHeader": "true",
    		"delimiter": ",",
    		"headers": "FirstName�LastName�Location�salary",
    		"securedHeaders": "Salary"
    	}
    }

    Parsing of JSON to CSV during export

    To keep the CSV config data in its original format when exporting the config data to a CSV file format, ensure that you have the data and metadata nodes in your data.
    • Config data items within the data node are converted to individual record rows in the CSV file.
    • Data format attributes within the metadata node are used to define the delimiter, header, and secret header information in the CSV file.