mongodb版本是2.6
集合中的总记录超过200w
详情如下 集合表结构如下:
{
"postid":NumberLong(97040),
"accountid":NumberLong(348670),
"location":{
"type":"Point",
"coordinates":[
112.56531,
32.425657
]
},
"type":NumberLong(1),
"countspreads":NumberLong(6),
"countavailablespreads":NumberLong(6),
"timestamp":NumberLong(1428131578)
}
集合index
是2dsphere
:
{
"v" : 1,
"key" : {
"location" : "2dsphere"
},
"name" : "location_2dsphere",
"ns" : "fly.postspreads",
"2dsphereIndexVersion" : 2
},
**查询命令**如下
db.example.find({"location":{"$nearSphere":{"$geometry":{"type":"Point","coordinates":[113.547821,22.18648]},"$maxDistance":50000, "$minDistance":0}}}).explain()
结果
{
"cursor" : "S2NearCursor",
"isMultiKey" : false,
"n" : 145255,
"nscannedObjects" : 1290016,
"nscanned" : 1290016,
"nscannedObjectsAllPlans" : 1290016,
"nscannedAllPlans" : 1290016,
"scanAndOrder" : false,
"indexOnly" : false,
"nYields" : 0,
"nChunkSkips" : 0,
"millis" : 4087,
"indexBounds" : {
},
"server" : "DB-SH-01:27017",
"filterSet" : false
}
$maxDistance
的值现在太大了,从上面的结果来看,我们会发现该命令扫描超过100w +记录,耗时4087ms。
如果我们将$ maxDistance的值减少到500
,则新结果如下:
{
"cursor" : "S2NearCursor",
"isMultiKey" : false,
"n" : 21445,
"nscannedObjects" : 102965,
"nscanned" : 102965,
"nscannedObjectsAllPlans" : 102965,
"nscannedAllPlans" : 102965,
"scanAndOrder" : false,
"indexOnly" : false,
"nYields" : 0,
"nChunkSkips" : 0,
"millis" : 634,
"indexBounds" : {
},
"server" : "DB-SH-01:27017",
"filterSet" : false
}
现在命令扫描超过10w +记录并且花费634ms,查询速度也太慢了。即使我将$maxDistance
的值减少到0.0001
,扫描的记录也会超过8w +,时间也是600毫秒左右。
查询时间是不可接受的,但我没有找到错误的地方。