You can apply MinimumShouldMatch
patameter in TermsDescriptor
. Here is an example:
var lookingFor = new List<string> { "netherlands", "poland" };
var searchResponse = client.Search<IndexElement>(s => s
.Query(q => q
.TermsDescriptor(t => t.OnField(f => f.Countries).MinimumShouldMatch("100%").Terms(lookingFor))));
or
var lookingFor = new List<string> { "netherlands", "poland" };
var searchResponse = client.Search<IndexElement>(s => s
.Query(q => q
.TermsDescriptor(t => t.OnField(f => f.Countries).MinimumShouldMatch(lookingFor.Count).Terms(lookingFor))));
And this is the whole example
class Program
{
public class IndexElement
{
public int Id { get; set; }
[ElasticProperty(Index = FieldIndexOption.NotAnalyzed)]
public List<string> Countries { get; set; }
}
static void Main(string[] args)
{
var indexName = "sampleindex";
var uri = new Uri("http://localhost:9200");
var settings = new ConnectionSettings(uri).SetDefaultIndex(indexName).EnableTrace(true);
var client = new ElasticClient(settings);
client.DeleteIndex(indexName);
client.CreateIndex(
descriptor =>
descriptor.Index(indexName)
.AddMapping<IndexElement>(
m => m.MapFromAttributes()));
client.Index(new IndexElement {Id = 1, Countries = new List<string> {"poland", "germany", "france"}});
client.Index(new IndexElement {Id = 2, Countries = new List<string> {"poland", "france"}});
client.Index(new IndexElement {Id = 3, Countries = new List<string> {"netherlands"}});
client.Refresh();
var lookingFor = new List<string> { "germany" };
var searchResponse = client.Search<IndexElement>(s => s
.Query(q => q
.TermsDescriptor(t => t.OnField(f => f.Countries).MinimumShouldMatch("100%").Terms(lookingFor))));
}
}
Regarding your problem
- For terms: "netherlands" you will get document with Id 3
- For terms: "poland" and "france" you will get documents with Id 1 and 2
- For terms: "germany" you will get document with Id 1
- For terms: "poland", "france" and "germany" you will get document
with Id 1
I hope this is your point.