Destination Filter (Experimental)

The filter string should consist of conditions and logical operators (and, or).

A condition specifies:

Field: The name of the field in the dataset you want to filter.
Operator: The comparison or matching operator (e.g., eq, gt, contains).
Value: The value you want to compare, enclosed in single (') or double (") quotes.

Example Condition:

displayName startsWith 'John'

and: Combines multiple conditions where all conditions must be true.
or: Combines multiple conditions where at least one condition must be true.

Note: You can use either and or or in a single filter but not both at the same time.

Operator	Description	Example
eq	Field is equal to the value	country eq 'US'
ne	Field is not equal to the value	status ne 'inactive'
gt	Field is greater than the value	createdAt gt '2024-01-01T00:00:00Z'
lt	Field is less than the value	age lt 30
ge	Field is greater than or equal to the value	age ge 18
le	Field is less than or equal to the value	age le 65
contains	Field contains the value (for strings)	displayName contains 'Admin'
startsWith	Field starts with the value (for strings)	displayName startsWith 'John'
endsWith	Field ends with the value (for strings)	email endsWith '@example.com'
isEmpty	Field is empty (null, undefined, or empty string)	email isEmpty
isNotEmpty	Field is not empty	email isNotEmpty

Find Users Whose Display Name Starts with "John":

displayName startsWith 'John'

Find Active Users in the US:

status eq 'active' and country eq 'US'

Find Users Created After a Specific Date:

createdAt gt '2024-01-01T00:00:00Z'

Find Users in the UK or with a Display Name Containing "Jane":

country eq 'UK' or displayName contains 'Jane'

Case Sensitivity:
- Field names and string comparisons are case-sensitive. Ensure your field names and values match the case in the dataset.
Quotes:
- Use single (') or double (") quotes to enclose values.
Logical Operators:
- You cannot mix and and or in the same filter.
Empty Filter String:
- If the filter string is empty or null, the function returns the original dataset.