ElasticSearch: Multi-level nested query "AND" syntax - elasticsearch

Question

I've got an index similar to the example index shown in the elasticsearch doc multi-level nested query example:
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-nested-query.html#multi-level-nested-query-ex
Given these example docs:
{
"driver" : {
"last_name" : "McQueen",
"vehicle" : [
{
"make" : "Powell Motors",
"model" : "Canyonero"
},
{
"make" : "Miller-Meteor",
"model" : "Ecto-1"
}
]
}
}
{
"driver" : {
"last_name" : "Hudson",
"vehicle" : [
{
"make" : "Mifune",
"model" : "Mach Five"
},
{
"make" : "Miller-Meteor",
"model" : "Ecto-1"
}
]
}
}
I need to be able to find documents where the driver.vehicle.make matches two values, i.e. the driver who has both vehicle makes "Powell Motors" and "Miller-meteor" should match McQueen but not Hudson.
I've tried a query similar to the doc example's make and model query, but it returns 0 docs:
{
"query": {
"nested": {
"path": "driver",
"query": {
"nested": {
"path": "driver.vehicle",
"query": {
"bool": {
"must": [
{ "match": { "driver.vehicle.make": "Powell Motors" } },
{ "match": { "driver.vehicle.make": "Miller-Meteor" } }
]
}
}
}
}
}
}
}
Changing the "must" to a "should" returns both docs. I can't seem to find a query that will query the vehicle array for multiple value matches in the same doc.

Answer 1

The above query returns 0 documents, as there is no single document (inside driver.vehicle) in your example that has driver.vehicle.make value as "Powell Motors" and "Miller-meteor".
Note: Here single documents refer to each individual documents (or objects) inside driver.vehicle.
Therefore, when you are changing the must clause to should clause it returns those documents (in this case both the doc), that have driver.vehicle.make value as "Powell Motors" OR "Miller-meteor". must works as logical AND operator, and should works as logical OR operator.
According to your requirement, I believe you want those documents where driver who has vehicle makes "Powell Motors" OR "Miller-meteor" should match McQueen but not Hudson.
In this case, you need to combine a nested query with a normal query, which can be done using a bool query.
Your modified query will be
{
"query": {
"nested": {
"path": "driver",
"query": {
"bool": {
"must": [
{
"match": {
"driver.last_name": "McQueen"
}
},
{
"nested": {
"path": "driver.vehicle",
"query": {
"bool": {
"should": [
{
"match": {
"driver.vehicle.make": "Powell Motors"
}
},
{
"match": {
"driver.vehicle.make": "Miller-Meteor"
}
}
]
}
}
}
}
]
}
}
}
}
}
And the search result will be
"hits" : [
{
"_index" : "soidx1",
"_type" : "_doc",
"_id" : "1",
"_score" : 3.105637,
"_source" : {
"driver" : {
"last_name" : "McQueen",
"vehicle" : [
{
"make" : "Powell Motors",
"model" : "Canyonero"
},
{
"make" : "Miller-Meteor",
"model" : "Ecto-1"
}
]
}
}
}
]