How do I use Elasticsearch's geo_point and geo_shape types at the same time? -

here our document:

{     "geometry" : {         "type" : "point",         "coordinates" : [ -87.662682, 41.843014 ]     } } 

we'd geo_shape search _geo_distance sort, both against same geometry field. former requiresgeo_shape types while latter requires geo_point.

these 2 indexes succeed individually, not together:

"geometry": {     "type": "geo_shape" } 

and

"geometry": {     "properties": {         "coordinates": {             "type": "geo_point"         }     } }, 

so far we've tried these , failed:

"geometry": {     "type": "geo_shape" }, "geometry.coordinates": {     "type": "geo_point" }, 

also

"geometry": {     "copy_to": "geometryshape",     "type": "geo_shape" }, "geometryshape": {     "properties": {         "coordinates": {             "type": "geo_point"         }     } } 

also

"geometry": {     "copy_to": "geometryshape",     "properties": {         "coordinates": {             "type": "geo_point"         }     } }, "geometryshape": {     "type": "geo_shape" } 

any ideas on how create index properly?

if scripting enabled achieve via specifying transforms in mapping

would on these lines :

put test/test_type/_mapping {    "transform": {       "script": "if (ctx._source['geometry']['coordinates']) ctx._source['test'] = ctx._source['geometry']['coordinates']",       "lang": "groovy"    },    "properties": {       "geometry": {          "type": "geo_shape"       },       "coordinates": {          "type": "geo_point"       }    } }