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Mapping input fields

note

For the selected table, the required input fields for the table are displayed in the Required fields section on the Fields page.

The source fields detected in the input table are automatically mapped to the corresponding fields in the target table.

  1. Make sure each field is mapped to the correct target field. If required, select a different field from the Target fields list to correct the mapping.
  2. Select Next to continue.

Configuring input fields​

The settings for the target input fields are automatically detected and you just need to check them.

Follow these steps to edit the settings for an input field.

  1. Locate the field you want to configure and select the Edit field icon to open the Edit field panel for the selected field.
  2. Edit the settings as desired and select Save.

The following table describes the table settings.

Setting Description
Name The name of the field.

Note: Name is a mandatory field.

Type The data type of the field.
  • Text
  • Integer
  • Decimal
  • Boolean
  • Date
  • Datetime

Note: Depending on field type you must specify parse settings to configure the field.

Mandatory

Option to define the field as mandatory.

If selected, the field is required when publishing or importing the process app. An error is thrown then if the field is missing. If not selected, the field is considered optional. When it is missing, the field will be added with NULL values, such that subsequent SQL queries will not fail.

Unique Option to define the field value have a distinct or unique value for each record.
Not NULL Option to define that the field must have a value for each record. The field cannot be left empty or filled with a NULL value.

Parse settings for field types​

The following table describes the available parse settings for the different field types.

Field type Parse settings
Integer Thousand separator
  • None
  • Dot (.)
  • Comma (,)
Decimal
  • Decimal separator
    • Dot (.)
    • Comma (,)
  • Thousand separator
    • None
    • Dot (.)
    • Comma (,)
Boolean

  • True value:

    TRUE or 1

  • False value

    FALSE or 0

Note: True value and False value are mandatory settings and must be different.

Date Date format (Check out Example parse settings for Date formats ).
Datetime Date time format Date format (Check out Example parse settings for Datetime formats .)

Example parse settings for Date formats​

FormatExample
yyyy-mm-dd2025-04-05 2025-4-5
mm/dd/yy04/05/25 4/5/25
mm-dd-yyyy04-05-2025 4-5-2025
dd-mm-yyyy05-04-2025 5-4-2025

Example parse settings for Datetime formats​

FormatExample
yyyy-mm-dd hh:mm:ss2025-04-05 14:30:45 2025-4-5 14:30:45
yyyy-mm-dd hh:mm:ss[.nnn]2025-04-05 14:30:45.123 2025-4-5 14:30:45.123
yyyy-mm-ddThh:mm:ss[.nnn]2025-04-05T14:30:45.123 2025-4-5T14:30:45.123
mm/dd/yy hh:mm:ss AM/PM04/05/25 02:30:45 PM 4/5/25 02:30:45 PM
mm-dd-yyyy hh:mm:ss[.nnn]04-05-2025 14:30:45.123 4-5-2025 14:30:45.123 04-05-2025 14:30:45 4-5-2025 14:30:45
dd-mm-yyyy hh:mm:ss[.nnn]05-04-2025 14:30:45.123 5-4-2025 14:30:45.123 05-04-2025 14:30:45 5-4-2025 14:30:45
yyyy-mm-ddThh:mm:ss[.nnn]+00:00*2025-04-05T14:30:45.123+02:00 2025-04-05T14:30:45-03:00 2025-04-05T14:30:45 2025-4-5T14:30:45.123+02:00 2025-4-5T14:30:45-03:00 2025-4-5T14:30:45Z
yyyy-mm-ddThh:mm:ss+00:00*2025-04-05T14:30:45+02:00 2025-04-05T14:30:45 2025-4-5T14:30:45-03:00 2025-4-5T14:30:45Z
dd/mm/yyyy hh:mm:ss[.nnn]05/04/2025 14:30:45.123 5/4/2025 14:30:45.123

*) Timestamps that include time zone information are automatically converted to UTC during data ingestion.