Using a pre-indexed shape filter with other properties

Elastic Stack Elasticsearch
1

My goal is to validate that the geo points of indexed cities are contained
within the multipolygon boundary of their corresponding country.

I have using the following as an initial guide:
http://people.mozilla.org/~wkahngreene/elastic/guide/reference/query-dsl/geo-shape-filter.html

So the city index looks like:

$ curl -XPUT http://localhost:9200/points -d '

{
"mappings": {
"city": {
"properties": {
"city": {"type": "string"},
"country": {"type": "string"},
"location": {"type": "geo_shape"}
}
}
}
}
'

$ curl -XPOST http://localhost:9200/points/city/ -d '{"city": "Tokyo",
"country": "Japan","location": {"type" : "point", "coordinates" :
[139.6917, 35.6895]}}'

$ curl -XPUT http://localhost:9200/shapes -d '
{
"mappings": {
"country": {
"properties": {
"name": {"type": "string"},
"shape": {"type": "geo_shape"}
}
}
}
}
'

$ curl -XPOST http://localhost:9200/shapes/country/ -d
'{"name":"Japan","shape":{"type":"multipolygon","coordinates":[[[[134.638428,34.149234],[134.766379,33.806335],[134.203416,33.201178],[133.79295,33.521985],[133.280268,33.28957],[133.014858,32.704567],[132.363115,32.989382],[132.371176,33.463642],[132.924373,34.060299],[133.492968,33.944621],[133.904106,34.364931],[134.638428,34.149234]]],[[[140.976388,37.142074],[140.59977,36.343983],[140.774074,35.842877],[140.253279,35.138114],[138.975528,34.6676],[137.217599,34.606286],[135.792983,33.464805],[135.120983,33.849071],[135.079435,34.596545],[133.340316,34.375938],[132.156771,33.904933],[130.986145,33.885761],[132.000036,33.149992],[131.33279,31.450355],[130.686318,31.029579],[130.20242,31.418238],[130.447676,32.319475],[129.814692,32.61031],[129.408463,33.296056],[130.353935,33.604151],[130.878451,34.232743],[131.884229,34.749714],[132.617673,35.433393],[134.608301,35.731618],[135.677538,35.527134],[136.723831,37.304984],[137.390612,36.827391],[138.857602,37.827485],[139.426405,38.215962],[140.05479,39.438807],[139.883379,40.563312],[140.305783,41.195005],[141.368973,41.37856],[141.914263,39.991616],[141.884601,39.180865],[140.959489,38.174001],[140.976388,37.142074]]],[[[143.910162,44.1741],[144.613427,43.960883],[145.320825,44.384733],[145.543137,43.262088],[144.059662,42.988358],[143.18385,41.995215],[141.611491,42.678791],[141.067286,41.584594],[139.955106,41.569556],[139.817544,42.563759],[140.312087,43.333273],[141.380549,43.388825],[141.671952,44.772125],[141.967645,45.551483],[143.14287,44.510358],[143.910162,44.1741]]]]}}'

I can explicitly query against a particular country as follows:

$ curl -XGET 'http://localhost:9200/points/city/_search?pretty=true' -d '

{
"query": {
"filtered" : {
"query" : {
"match_all" : {}
},
"filter" : {
"geo_shape" : {
"location" : {
"indexed_shape": {
"id": "odsm2vWgT7ufBLjvmRMrNA",
"type": "country",
"index": "shapes",
"shape_field_name": "shape"
},
"relation": "within"
}
}
}
}
}
}'

But is there a way that I can query that the city's country property
matches the country's name property and the city's location is within the
country's shape?

Thanks for any insights!

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