ElasticSearch - prefix with space and filtering - elasticsearch

Question

My ElasticSearch server contains documents of the following form:
{
"_index": "xindex",
"_type": "xtype",
"_id": "1100",
"_score": 3.00010,
"_source": {
"_id": "2333345",
"field1": "11111111111111",
"field2": "y",
"name": "hello world",
}
}
I need to get all the documents with name prefix "hello wo" and field2 "y".
Tried a lot of queries and none have worked. There are all kind of solutions for the prefix with space issue, but when adding the filtering/another query for field2, results get corrupted.
Thanks.

Answer 1

You can achieve this in 3 steps :
Change your mapping of field name to not_analyzed
Use a match_phrase_prefix query (documentation here)
Filter this query results by wrapping it in a filtered query and use a term filter on the field2 with value "y"
You can see it working with the following dataset :
PUT test/prefix/_mapping
{
"properties": {
"name":{
"type": "string",
"index": "not_analyzed"
}
}
}
//should match
PUT test/prefix/2333345
{
"field1": "11111111111111",
"field2": "y",
"name": "hello world"
}
//should match
PUT test/prefix/1112223
{
"field1": "22222222222222",
"field2": "y",
"name": "hello wombat"
}
//should not match (field2 value is different)
PUT test/prefix/4445556
{
"field1": "33333333333333",
"field2": "z",
"name": "hello world"
}
//should not match (second word not starting with wo)
PUT test/prefix/4445556
{
"field1": "33333333333333",
"field2": "y",
"name": "hello zombie"
}
Then, the query is :
GET test/prefix/_search
{
"query": {
"filtered": {
"query": {
"match_phrase_prefix" : {
"name" : "hello wo"
}
},
"filter": {
"term": {
"field2": "y"
}
}
}
}
}
which outputs the documents 1112223 and 2333345 as expected :
{
"took": 20,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1.592944,
"hits": [
{
"_index": "test",
"_type": "prefix",
"_id": "2333345",
"_score": 1.592944,
"_source": {
"field1": "11111111111111",
"field2": "y",
"name": "hello world"
}
},
{
"_index": "test",
"_type": "prefix",
"_id": "1112223",
"_score": 1.592944,
"_source": {
"field1": "22222222222222",
"field2": "y",
"name": "hello wombat"
}
}
]
}
}

Answer 2

use simple_query_string, This approach solved my issue:
{
"query": {
"bool": {
"should": [
{
"simple_query_string": {
"fields": [
"name"
],
"default_operator": "and",
"query": "(hello world*)"
}
}
]
}
}
}