You can increase index types using the query terms.
First, create some test data (e1, e2, e3 are types, and test is the index name):
PUT test/e1/1
{
"subject": "subject 1"
}
PUT test/e2/1
{
"subject": "subject 1"
}
PUT test/e3/1
{
"subject": "subject 1"
}
Now with the help of a query query with a custom type boost:
GET test/_search
{
"query": {
"bool": {
"should": [
{
"query_string": {
"query": "subject"
}
},
{ "term" : { "_type" : {"value" : "e3", "boost" : 2.0} } },
{ "term" : { "_type" : {"value" : "e2", "boost" : 3.0} } }
]
}
}
}
which will generate the result, for example:
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 0.7671045,
"hits": [
{
"_index": "test",
"_type": "e2",
"_id": "1",
"_score": 0.7671045,
"_source": {
"subject": "subject 1"
}
},
{
"_index": "test",
"_type": "e3",
"_id": "1",
"_score": 0.59740055,
"_source": {
"subject": "subject 1"
}
},
{
"_index": "test",
"_type": "e1",
"_id": "1",
"_score": 0.1289963,
"_source": {
"subject": "subject 1"
}
}
]
}
}