Search using tuple and user-defined type (UDT) values
Tuple search
Tuple search is used to discover values stored within tuples. Search indexes make such searches possible. First, a search index must be created.
schema.vertexLabel('person').searchIndex().ifNotExists().by('country').create()This query is looking for all persons that lived in some country until the date 1960-01-01, with country.field2 storing the value of end_date for a tuple that stores country, start_date, end_date.
g.V().has('person', 'country.field2', '1960-01-01' as LocalDate)results in:
==>v[dseg:/person/e7cd5752-bc0d-4157-a80f-7523add8dbcd]who happens to be Julia CHILD.
So, to search for a matching value in a tuple, the tuple name and the field number must be supplied.
The fields begin with field0.
UDT search
UDT search is used to discover values stored within UDTs or nested UDTs. Search indexes make such searches possible. First, a search index must be created.
schema.vertexLabel('location').searchIndex().ifNotExists().by('loc_details').create()This query is looking for all persons that lived in some country until the date 1960-01-01, with country.field2 storing the value of end_date for a tuple that stores country, start_date, end_date.
g.V().has('location', 'loc_details.loc_address.address1' , '213 F St')results in:
==>v[dseg:/location/g13]which happens to be Zippy Mart.
So, to search for a matching value in a UDT, the tuple name and each of the nested field number must be supplied.
In this case, the property loc_details is a UDT with its own property loc_address which is also a UDT that has a property address1 that is a street address.
