arangosh> db.geoFilter.ensureIndex({ type: "geo", fields: [ "latitude", "longitude" ] });
{
"constraint" : false,
"fields" : [
"latitude",
"longitude"
],
"id" : "geoFilter/30897",
"ignoreNull" : true,
"isNewlyCreated" : true,
"sparse" : true,
"type" : "geo2",
"unique" : false,
"code" : 201
}
arangosh> for (i = -90; i <= 90; i += 10) {
........> for (j = -180; j <= 180; j += 10) {
........> db.geoFilter.save({ name : "Name/" + i + "/" + j, latitude : i, longitude : j });
........> }
........> }
arangosh> var query = "FOR doc in geoFilter FILTER DISTANCE(doc.latitude, doc.longitude, 0, 0) < 2000 RETURN doc"
arangosh> db._explain(query, {}, {colors: false});
Query string:
FOR doc in geoFilter FILTER DISTANCE(doc.latitude, doc.longitude, 0, 0) < 2000 RETURN doc
Execution plan:
Id NodeType Est. Comment
1 SingletonNode 1 * ROOT
6 IndexNode 703 - FOR doc IN geoFilter
5 ReturnNode 703 - RETURN doc
Indexes used:
By Type Collection Unique Sparse Selectivity Fields Ranges
6 geo2 geoFilter false true n/a [ `latitude`, `longitude` ] WITHIN(doc, 0, 0, 2000, false)
Optimization rules applied:
Id RuleName
1 geo-index-optimizer
2 remove-unnecessary-calculations-2
arangosh> db._query(query);
[
{
"_key" : "31954",
"_id" : "geoFilter/31954",
"_rev" : "_WnWXE2q--D",
"name" : "Name/0/0",
"latitude" : 0,
"longitude" : 0
}
]
[object ArangoQueryCursor, count: 1, cached: false, hasMore: false]