Multi field text and keyword fields in elasticsearch - elasticsearch

Question

I'm looking into switching from solr to elasticsearch and have indexed a bunch of documents into it without providing a schema/mapping and a lot of the fields that i would have previously set as indexed strings in solr have been set as both text and keyword fields using multi-fields.
Is there any benifit to having a keyword field also as a text field using multi-fields? in my case most values in fields are single words so i'd imagine it wouldn't matter if they are sent to the analyzer but the es docs seem to imply that keyword fields are not considered when searching or at least treated differently?
Just to expand on that a little further if i search for the term "ipad" would a document score higher if it had "ipad" in a keyword field as well as some other text field vs the same document without the keyword field? and if say "ipad" was only in a keyword field would the document still match?

Answer 1

To answer my own question i created a quick test, pretty much keyword and text fields are equivalent when searching and multi-fields seem to get the same score as their primary type so i guess the second field has no effect on search scoring
Weirdly a multi word value in both keyword and text fields got the same score which i would have expecting the keyword field to score lower or not at all but for my purposes that is fine so i'm not going to investigate it further.
Index Creation
PUT test_index
{
"settings" : {
"number_of_shards" : 1
},
"mappings" : {
"test_type" : {
"properties" : {
"multifield": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"keywordfield": {
"type": "keyword"
},
"textfield": {
"type": "text"
}
}
}
}
}
Data Insert
POST /_bulk
{ "update": { "_index": "test_index", "_type": "test_type", "_id": 1 }
{ "doc" : { "multifield" : "ipad" }, "doc_as_upsert" : true }
{ "update": { "_index": "test_index", "_type": "test_type", "_id": 2 }
{ "doc" : { "keywordfield" : "ipad" }, "doc_as_upsert" : true }
{ "update": { "_index": "test_index", "_type": "test_type", "_id": 3 }
{ "doc" : { "keywordfield" : "a green ipad" }, "doc_as_upsert" : true }
{ "update": { "_index": "test_index", "_type": "test_type", "_id": 4 }
{ "doc" : { "textfield" : "a yellow ipad" }, "doc_as_upsert" : true }
{ "update": { "_index": "test_index", "_type": "test_type", "_id": 5 }
{ "doc" : { "keywordfield" : "ipad", "textfield" : "ipad" }, "doc_as_upsert" : true }
{ "update": { "_index": "test_index", "_type": "test_type", "_id": 6 }
{ "doc" : { "keywordfield" : "unrelated", "textfield" : "hopefully this wont show up" }, "doc_as_upsert" : true }
{ "update": { "_index": "test_index", "_type": "test_type", "_id": 7 }
{ "doc" : { "textfield" : "ipad" }, "doc_as_upsert" : true }
Results
GET /test_index/_search?q=ipad
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 6,
"max_score": 0.28122374,
"hits": [
{
"_index": "test_index",
"_type": "test_type",
"_id": "5",
"_score": 0.28122374,
"_source": {
"keywordfield": "ipad",
"textfield": "ipad"
}
},
{
"_index": "test_index",
"_type": "test_type",
"_id": "1",
"_score": 0.2734406,
"_source": {
"multifield": "ipad"
}
},
{
"_index": "test_index",
"_type": "test_type",
"_id": "2",
"_score": 0.2734406,
"_source": {
"keywordfield": "ipad"
}
},
{
"_index": "test_index",
"_type": "test_type",
"_id": "7",
"_score": 0.2734406,
"_source": {
"textfield": "ipad"
}
},
{
"_index": "test_index",
"_type": "test_type",
"_id": "3",
"_score": 0.16417998,
"_source": {
"keywordfield": "a green ipad"
}
},
{
"_index": "test_index",
"_type": "test_type",
"_id": "4",
"_score": 0.16417998,
"_source": {
"textfield": "a yellow ipad"
}
}
]
}
}