I'm recommending you Nested Object to handle relationship between Meeting
and Attendee
. It means we will be storing all data in one document(Meeting).
Meeting and Attendee classes:
public class Meeting
{
public int Id { get; set; }
public string Name { get; set; }
[ElasticProperty(Type = FieldType.Nested)]
public List<Attendee> MeetingAttendees { get; set; }
}
public class Attendee
{
public int Id { get; set; }
public string Name { get; set; }
}
Create index:
var indicesOperationResponse = client.CreateIndex(descriptor => descriptor
.Index(indexName)
.AddMapping<Meeting>(m => m.MapFromAttributes()));
Index some data:
var david = new Attendee {Id = 1, Name = "David"};
var carl = new Attendee {Id = 2, Name = "Carl"};
var jason = new Attendee {Id = 3, Name = "Jason"};
client.Index(new Meeting {Id = 1, Name = "Meeting1", MeetingAttendees = new List<Attendee>{david, carl}});
client.Index(new Meeting {Id = 2, Name = "Meeting2", MeetingAttendees = new List<Attendee>{jason}});
client.Index(new Meeting {Id = 3, Name = "Meeting3", MeetingAttendees = new List<Attendee>{jason, david}});
client.Refresh();
We should modify your query just a little bit:
var result = client.Search<Meeting>(s => s
.From(0)
.Size(10)
.Query(q => q.Nested(n => n
.Path(p => p.MeetingAttendees.First())
.Query(qq => qq
.Term(meeting => meeting.OnField(f => f.MeetingAttendees.First().Name).Value("david"))))));
Result from elasticsearch:
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1.4054651,
"hits": [
{
"_index": "my_index",
"_type": "meeting",
"_id": "1",
"_score": 1.4054651,
"_source": {
"id": 1,
"name": "Meeting1",
"meetingAttendees": [
{
"id": 1,
"name": "David"
},
{
"id": 2,
"name": "Carl"
}
]
}
},
{
"_index": "my_index",
"_type": "meeting",
"_id": "3",
"_score": 1.4054651,
"_source": {
"id": 3,
"name": "Meeting3",
"meetingAttendees": [
{
"id": 3,
"name": "Jason"
},
{
"id": 1,
"name": "David"
}
]
}
}
]
}
}
UPDATE:
In your case where you are going to index more related data it can be worth to have a look on parent-child relationship
Sample classes:
public class Meeting
{
public int Id { get; set; }
public string Name { get; set; }
}
public class Attendee
{
public int Id { get; set; }
public string Name { get; set; }
}
Mapping:
var indicesOperationResponse = client.CreateIndex(descriptor => descriptor
.Index(indexName)
.AddMapping<Meeting>(m => m.MapFromAttributes())
.AddMapping<Attendee>(m => m.MapFromAttributes().SetParent<Meeting>()));
Sample data:
var david = new Attendee { Id = 1, Name = "David"};
var carl = new Attendee { Id = 2, Name = "Carl"};
var jason = new Attendee {Id = 3, Name = "Jason"};
client.Index(new Meeting {Id = 1, Name = "Meeting1"});
client.Index(new Meeting {Id = 2, Name = "Meeting2"});
client.Index(new Meeting {Id = 3, Name = "Meeting3"});
client.Index(david, descriptor => descriptor.Parent("1"));
client.Index(carl, descriptor => descriptor.Parent("1"));
client.Index(jason, descriptor => descriptor.Parent("2"));
client.Refresh();
Now, we have to find parent by their children. With NEST you can do this by this query:
var searchResponse = client.Search<Meeting>(s => s
.Query(q => q
.HasChild<Attendee>(c => c
.Query(query => query.Term(t => t.OnField(f => f.Name).Value("david"))))));