Amazon Neptune Full Text Search - specify fields - elasticsearch

Question

So SPARQL documentation contains examples how to specify multiple fields to search for:
PREFIX foaf: <http://xmlns.com/foaf/0.1/>
PREFIX neptune-fts: <http://aws.amazon.com/neptune/vocab/v01/services/fts#>
SELECT * WHERE {
SERVICE neptune-fts:search {
neptune-fts:config neptune-fts:endpoint 'http://your-es-endpoint.com' .
neptune-fts:config neptune-fts:queryType 'query_string' .
neptune-fts:config neptune-fts:query 'mikael~ OR rondelli' .
neptune-fts:config neptune-fts:field foaf:name .
neptune-fts:config neptune-fts:field foaf:surname .
neptune-fts:config neptune-fts:return ?res .
}
}
I'm trying to do the same thing, but in Gremlin:
g.withSideEffect('Neptune#fts.endpoint', '...')
.V().has(['name', 'company'], 'Neptune#fts term*')
This obviously doesn't work. Now I could use wildcard like this:
g.withSideEffect('Neptune#fts.endpoint', '...')
.V().has('*', 'Neptune#fts term*')
But now I'm matching all the fields, and it fails because our index has too many. (There's a limit of 1,024 I think.)
Any idea how to specify a list of fields to search through in a Gremlin query?

Answer 1

Meanwhile I found a workaround, which works but is not very clean:
You can set your query to use query_string format like this:
.withSideEffect("Neptune#fts.queryType", "query_string")
It will be less forgiving for syntax, but it means you can search for fields inside the query:
field1:foo AND field2:bar
Now with Neptune it's not so simple, because your field names aren't just field1, field2, but they are formatted like this:
predicates: {
field1: {
value: "..."
},
field2: {
value: "..."
}
}
That's fine, you just need to modify the query:
predicates.field1.value:foo AND predicates.field2.value:bar
And here's how I do "make sure that some of the fields match term":
predicates.field1.value:<term> OR predicates.field2.value:<term>