Using Elastic Search to implement Locate US/ Geo Saptial Search

Elastic Search has nice support for geo spatial search. I wanted to try that out. So i started by creating a index called testgeo and i did add addresses of few walmart locations in it. Then i used Elastic Search to figure out what store location is close to my location. I followed these steps to implement this sample

1. First i did create a new Index named testgeo like this, while creating index i marked location field as geo_type, this makes it possible to make geo distance queries.

   
   curl -XPUT 'localhost:9200/testgeo' -d '{
       "mappings": {
           "walmart": {
             "properties": {
               "shopName": {
                   "type": "string"
                },
                "address": {
                   "properties": {
                      "city": {
                         "type": "string"
                      },
                      
                      "state": {
                         "type": "string"
                      },
                      "streetName": {
                         "type": "string"
                      },
                      "location": {
                         "type": "geo_point"
                         }
                      }
                   }
                }
                
             }
       }
   }'
   

2. Then i did add few locations to my index for each of the location i used the latitude, longitude for address of the location and stored it in my testgeo index

   
   curl -XPOST 'localhost:9200/testgeo/walmart' -d '{
      "storeName": "Walmart Supercenter - Marina",
      "address": {
         "streetName": "150 Beach Rd",
         "cityName": "Marina",
         "state": "CA",
         "zipCode": 93933,
         "location": [
            -121.800565,
            36.69359
         ] 
      }
   }'
               
   curl -XPOST 'localhost:9200/testgeo/walmart' -d '{
      "storeName": "Walmart Mkt - Modesto",
      "address": {
         "streetName": "\"1421 Coffee Rd",
         "cityName": "Modesto",
         "state": "CA",
         "zipCode": 95355,
         "location": [
            -120.976622,
            37.664054
         ] 
      }
   }'
               
   curl -XPOST 'localhost:9200/testgeo/walmart' -d '{
      "storeName": "Walmart Supercenter - Patterson",
      "address": {
         "streetName": "\"1030 Sperry Ave",
         "cityName": "Patterson",
         "state": "CA",
         "zipCode": 95363,
         "location": [
            -121.142528,
            37.464052
         ] 
      }
   }'            
   

3. Once my index data is in place i could query the index with type equal to geo_distance, and i had to give a location from which i want to search all the stores in 100 KM of the location

   
   curl -XPOST 'localhost:9200/testgeo/repair/_search?pretty=true'  -d '
   {
       "query": {
           "filtered": {
              "query": {
                   "match_all": {}
               },
              "filter": {
                  "geo_distance": {
                     "distance": 100,
                     "distance_unit": "km",
                     "address.location": {
                        "lat": 37.53,
                        "lon": -121.97
                     }
                  } 
              }
           }
       }
   }'
   

Elastic Search returned list of stores matching the criteria.