Query with And & OR in Elastic Search - elasticsearch

Question

I'm new to Elastic Search, I have document like below :
Mapping of same JSON index is like below :
Mapping
{
"mappings": {
"properties": {
"age": {
"type": "long"
},
"hobbiles": {
"type": "keyword"
}
}
}
}
Some sample documents are like below :
[{
"_id": "test#domain.com",
"age": 12,
"hobbiles": [{
"name": "Singing",
"level": "begineer"
},
{
"name": "Dancing",
"level": "begineer"
}
]
},
{
"_id": "test1#domain.com",
"age": 7,
"hobbiles": [{
"name": "Coding",
"level": "begineer"
},
{
"name": "Chess",
"level": "begineer"
}
]
},
{
"_id": "test2#domain.com",
"age": 20,
"hobbiles": [{
"name": "Singing",
"level": "begineer"
},
{
"name": "Dancing",
"level": "begineer"
}
]
},
{
"_id": "test3#domain.com",
"age": 21,
"hobbiles": [{
"name": "Coding",
"level": "begineer"
},
{
"name": "Dancing",
"level": "Football"
}
]
}
]
Now I want to fetch documents where id IN (test#domain.com, test1#domain.com) and age is greater than 5. [operationally] hobiiles Football.
My expectations from output is I should get three documents: and if hobbies is not matching then also it should be fine but if hobbies matches then that document should be on top. Basically I want to match hobbies but its optional if it doesn't match then also I should get data based on prior clauses.
[test3#domain.com, test#domain.com, test1#domain.com]
test3 on top because Football matches there, and test and test1 because age and id matches there.

Answer 1

Tldr;
It can be achieved via bool queries.
Solution
PUT /_bulk
{"index":{"_index":"73935795", "_id":"test#domain.com"}}
{"age":12,"hobbiles":[{"name":"Singing","level":"begineer"},{"name":"Dancing","level":"begineer"}]}
{"index":{"_index":"73935795", "_id":"test1#domain.com"}}
{"age":7,"hobbiles":[{"name":"Coding","level":"begineer"},{"name":"Chess","level":"begineer"}]}
{"index":{"_index":"73935795", "_id":"test2#domain.com"}}
{"age":20,"hobbiles":[{"name":"Singing","level":"begineer"},{"name":"Dancing","level":"begineer"}]}
{"index":{"_index":"73935795", "_id":"test3#domain.com"}}
{"age":21,"hobbiles":[{"name":"Coding","level":"begineer"},{"name":"Dancing","level":"Football"}]}
GET 73935795/_search
{
"query": {
"bool": {
"filter": [
{
"range": {
"age": {
"gt": 5
}
}
},
{
"terms": {
"_id": [
"test#domain.com",
"test1#domain.com",
"test3#domain.com"
]
}
}
],
"should": [
{
"query_string": {
"query": "(football) OR (begineer)",
"default_field": "hobbiles.level"
}
}
]
}
}
}

Answer 2

This requires using Should clause. Should is equivalent to "OR". So a document will be returned if it satisfies any one condition in should query.
For conditions on id and age I have used filter clause. It is equivalent to "AND" . Filter clause does not calculate score for matched documents so any document which matches "hobbiles.level" will be ranked higher.
Query
{
"query": {
"bool": {
"minimum_should_match": 1,
"should": [
{
"term": {
"hobbiles.level.keyword": {
"value": "Football"
}
}
},
{
"bool": {
"filter": [
{
"terms": {
"id.keyword": [
"test#domain.com",
"test1#domain.com"
]
}
},
{
"range": {
"age": {
"gt": 5
}
}
}
]
}
}
]
}
}
}
Result
"hits" : [
{
"_index" : "index8",
"_type" : "_doc",
"_id" : "qE06noMBfFiM6spcUTo4",
"_score" : 1.3112575,
"_source" : {
"id" : "test3#domain.com",
"age" : 21,
"hobbiles" : [
{
"name" : "Coding",
"level" : "begineer"
},
{
"name" : "Dancing",
"level" : "Football"
}
]
}
},
{
"_index" : "index8",
"_type" : "_doc",
"_id" : "pE03noMBfFiM6spc4jr2",
"_score" : 0.0,
"_source" : {
"id" : "test#domain.com",
"age" : 12,
"hobbiles" : [
{
"name" : "Singing",
"level" : "begineer"
},
{
"name" : "Dancing",
"level" : "begineer"
}
]
}
},
{
"_index" : "index8",
"_type" : "_doc",
"_id" : "pU03noMBfFiM6spc6DqZ",
"_score" : 0.0,
"_source" : {
"id" : "test1#domain.com",
"age" : 7,
"hobbiles" : [
{
"name" : "Coding",
"level" : "begineer"
},
{
"name" : "Chess",
"level" : "begineer"
}
]
}
}
]