存储MongoDb的经纬度数据实现空间索引

{
    "_id" : ObjectId("5bf04829c6671064f9039dd0"), 
    "order_info" : {
        "survey_coordinate" : {
            "type" : "Point", 
            "coordinates" : [
                105.431, 
                42.009
            ],
            "name":"XXXXX街道办"
        }
    }
}

db.order.ensureIndex( {"order_info.survey_coordinate" : "2dsphere"} )
//联合索引 如：  db.order.createIndex( {"order_info.survey_coordinate" : "2dsphere","category" : -1, name: 1 } )
// 指定索引名称：db.order.createIndex( {"order_info.survey_coordinate" : "2dsphere"},{name:"locc"} ) 

        $mongodb;//mongodb对象为 think\db\Connection  https://www.kancloud.cn/manual/thinkphp5/167865 
        //创建索引
        $command = new \MongoDB\Driver\Command([
            'createIndexes' => 'order',//给哪个集合创建索引
            'indexes' => [[
                'name' => 'order_info_loc_2dsphere',//索引名称
                'key'  => ['order_info.survey_coordinate' => '2dsphere']//索引的字段  索引类型
            ]]
        ]);
       $result =  $mongodb->command($command);

       //首次创建返回数据
//        /vagrant/saasSystem/thinkphp/library/think/Debug.php:193:
//array (size=1)
//  0 =>
//    array (size=4)
//      'createdCollectionAutomatically' => boolean false
//      'numIndexesBefore' => int 1
//      'numIndexesAfter' => int 2
//      'ok' => float 1
//0.322759s ShowPageTrace

       //重复创建返回数据
//        /vagrant/saasSystem/thinkphp/library/think/Debug.php:193:
//array (size=1)
//  0 =>
//    array (size=5)
//      'createdCollectionAutomatically' => boolean false
//      'numIndexesBefore' => int 2
//      'numIndexesAfter' => int 2
//      'note' => string 'all indexes already exist' (length=25)
//      'ok' => float 1
       halt($result);

db.runCommand( {
   geoNear: "order" , //存在2dsphere索引的集合名称
   near: { type: "Point" , coordinates: [118.783799, 31.979234] } ,
   spherical: true,
   limit:1,
}) 

db.order.find({"order_info.survey_coordinate" : { "$near" : { "$geometry" : { "type" : "Point", "coordinates" : [118.783799, 31.979234] } } } })