To Include an Operator in the Search String
- Last Updated: May 18, 2026
- 1 minute read
- MarkLogic Server
- Version 12.0
- Documentation
We could have found our active, full-time employees with a different CTS Function: cts.parse(). The following query is similar to the previous query except that it uses cts.parse() with a single parameter consisting of both phrases separated by an operator instead of cts.nearQuery() with a parameter for each phrase:
op.fromSearchDocs(
cts.andQuery([
cts.collectionQuery('https://example.com/content/employee'),
cts.parse('active NEAR full time')
]))
.offsetLimit(0, 100)
.result();
-
The CTS Function
cts.parse()allows you to quickly write complex search queries using a grammar that will be automatically translated into whatevercts.query-type function will do the job. -
Creating a search box field in your user-facing application is a common way to enable your users to leverage this grammar.
-
cts.parse(‘active NEAR full time’)is translated intocts.nearQuery([‘active’, ‘full time’]). -
The full grammar for this function is explained in Creating a Query from Search Text with cts:parse in the Search Developer's Guide.
Here is row 1 of the 100-row x 3-column result:
{
"uri": "/data/employees/b0d5a15e-b5ce-4138-9a59-f46e08119bc4.json",
"doc": {
"GUID": "b0d5a15e-b5ce-4138-9a59-f46e08119bc4",
"Gender": "male",
"Title": "Mr.",
"GivenName": "Ralph",
"MiddleInitial": "M",
"Surname": "Deweese",
"StreetAddress": "2031 O Conner Street",
"City": "Gulfport",
"State": "MS",
"ZipCode": "39507",
"Country": "US",
"EmailAddress": "RalphMDeweese@rhyta.com",
"TelephoneNumber": "228-850-3365",
"TelephoneCountryCode": "1",
"Birthday": "11/25/62",
"NationalID": "428-08-3456",
"BaseSalary": "75054",
"Bonus": "7505",
"Department": "Marketing",
"Status": "Active - Regular Exempt (Full-time)", // Found!
"ManagerGUID": "d0862e5d-5be6-473b-a500-3e3a852b2bb8",
"point": {
"lat": 30.372732,
"long": -88.999739
},
"HiredDate": "2020-03-18"
},
"score": 4096
}
- Only one result will be returned per document no matter how many times the phrase occurs within a particular document.