arangosh> db.geoSort.ensureIndex({ type: "geo", fields: [ "latitude", "longitude" ] });
{
"id" : "geoSort/30200",
"type" : "geo2",
"fields" : [
"latitude",
"longitude"
],
"constraint" : false,
"unique" : false,
"ignoreNull" : true,
"sparse" : true,
"isNewlyCreated" : true,
"code" : 201
}
arangosh> for (i = -90; i <= 90; i += 10) {
........> for (j = -180; j <= 180; j += 10) {
........> db.geoSort.save({ name : "Name/" + i + "/" + j, latitude : i, longitude : j });
........> }
........> }
arangosh> var query = "FOR doc in geoSort SORT distance(doc.latitude, doc.longitude, 0, 0) LIMIT 5 RETURN doc"
arangosh> db._explain(query, {}, {colors: false});
Query string:
FOR doc in geoSort SORT distance(doc.latitude, doc.longitude, 0, 0) LIMIT 5 RETURN doc
Execution plan:
Id NodeType Est. Comment
1 SingletonNode 1 * ROOT
7 IndexNode 703 - FOR doc IN geoSort
5 LimitNode 5 - LIMIT 0, 5
6 ReturnNode 5 - RETURN doc
Indexes used:
By Type Collection Unique Sparse Selectivity Fields Ranges
7 geo2 geoSort false true n/a [ `latitude`, `longitude` ] NEAR(doc, 0, 0)
Optimization rules applied:
Id RuleName
1 geo-index-optimizer
2 remove-unnecessary-calculations-2
arangosh> db._query(query);
[
{
"_key" : "31257",
"_id" : "geoSort/31257",
"_rev" : "_UoelJV6--_",
"name" : "Name/0/0",
"latitude" : 0,
"longitude" : 0
},
{
"_key" : "31146",
"_id" : "geoSort/31146",
"_rev" : "_UoelJVm--A",
"name" : "Name/-10/0",
"latitude" : -10,
"longitude" : 0
},
{
"_key" : "31254",
"_id" : "geoSort/31254",
"_rev" : "_UoelJV6---",
"name" : "Name/0/-10",
"latitude" : 0,
"longitude" : -10
},
{
"_key" : "31260",
"_id" : "geoSort/31260",
"_rev" : "_UoelJV6--A",
"name" : "Name/0/10",
"latitude" : 0,
"longitude" : 10
},
{
"_key" : "31368",
"_id" : "geoSort/31368",
"_rev" : "_UoelJWO---",
"name" : "Name/10/0",
"latitude" : 10,
"longitude" : 0
}
]
[object ArangoQueryCursor, count: 5, hasMore: false]