我有一个带索引的集合:
{
"UserId" : 1,
"ShareId" : 1,
"ParentId" : 1,
"DeletedDate" : 1
}
如果我进行查询:
db.Files.find({ "UserId" : ObjectId("5450d837f32a1e098c844e2a"),
"ShareId" : ObjectId("5450d879f32a1e098c844e94"),
"ParentId" : ObjectId("5450d8af6a092a0b74a44026"),
"DeletedDate":null},
{_id:0, ShareId:1}).explain()
输出说
"indexOnly" : false:
{
"cursor" : "BtreeCursor UserId_1_ShareId_1_ParentId_1_DeletedDate_1",
"isMultiKey" : false,
"n" : 2120,
"nscannedObjects" : 2120,
"nscanned" : 2120,
"nscannedObjectsAllPlans" : 2318,
"nscannedAllPlans" : 2320,
"scanAndOrder" : false,
"indexOnly" : false,
"nYields" : 21,
"nChunkSkips" : 0,
"millis" : 42,
"indexBounds" : {
"UserId" : [
[
ObjectId("5450d837f32a1e098c844e2a"),
ObjectId("5450d837f32a1e098c844e2a")
]
],
"ShareId" : [
[
ObjectId("5450d879f32a1e098c844e94"),
ObjectId("5450d879f32a1e098c844e94")
]
],
"ParentId" : [
[
ObjectId("5450d8af6a092a0b74a44026"),
ObjectId("5450d8af6a092a0b74a44026")
]
],
"DeletedDate" : [
[
null,
null
]
]
},
"server" : "mongowecntprod:27017",
"filterSet" : false,
"stats" : {
"type" : "PROJECTION",
"works" : 2124,
"yields" : 21,
"unyields" : 21,
"invalidates" : 0,
"advanced" : 2120,
"needTime" : 0,
"needFetch" : 2,
"isEOF" : 1,
"children" : [
{
"type" : "KEEP_MUTATIONS",
"works" : 2124,
"yields" : 21,
"unyields" : 21,
"invalidates" : 0,
"advanced" : 2120,
"needTime" : 1,
"needFetch" : 2,
"isEOF" : 1,
"children" : [
{
"type" : "FETCH",
"works" : 2124,
"yields" : 21,
"unyields" : 21,
"invalidates" : 0,
"advanced" : 2120,
"needTime" : 1,
"needFetch" : 2,
"isEOF" : 1,
"alreadyHasObj" : 0,
"forcedFetches" : 0,
"matchTested" : 2120,
"children" : [
{
"type" : "IXSCAN",
"works" : 2121,
"yields" : 21,
"unyields" : 21,
"invalidates" : 0,
"advanced" : 2120,
"needTime" : 1,
"needFetch" : 0,
"isEOF" : 1,
"keyPattern" : "{ UserId: 1, ShareId: 1, ParentId: 1, DeletedDate: 1 }",
"isMultiKey" : 0,
"boundsVerbose" : "field #0['UserId']: [ObjectId('5450d837f32a1e098c844e2a'), ObjectId('5450d837f32a1e098c844e2a')], field #1['ShareId']: [ObjectId('5450d879f32a1e098c844e94'), ObjectId('5450d879f32a1e098c844e94')], field #2['ParentId']: [ObjectId('5450d8af6a092a0b74a44026'), ObjectId('5450d8af6a092a0b74a44026')], field #3['DeletedDate']: [null, null]",
"yieldMovedCursor" : 0,
"dupsTested" : 0,
"dupsDropped" : 0,
"seenInvalidated" : 0,
"matchTested" : 0,
"keysExamined" : 2120,
"children" : []
}
]
}
]
}
]
}
}
但是如果我在没有 DeletedDate 的情况下进行查询:
db.Files.find({ "UserId" : ObjectId("5450d837f32a1e098c844e2a"),
"ShareId" : ObjectId("5450d879f32a1e098c844e94"),
"ParentId" : ObjectId("5450d8af6a092a0b74a44026")},
{_id:0, ShareId:1}).explain()
那么
"indexOnly"
就是 true
。如何将第一个查询更改为
indexOnly=true
? 最佳答案
让我给你一个简单的例子,希望能展示你在查询一个空字段时看到的内容:
db.nullexplain.find()
{ "_id" : ObjectId("5456759f51a9d5271dc55bba"), "a" : 1 }
{ "_id" : ObjectId("545675a251a9d5271dc55bbb"), "a" : null }
{ "_id" : ObjectId("545675a551a9d5271dc55bbc") }
db.nullexplain.ensureIndex({a:1})
db,nullexplain.count({a:1}).count()
1
db.nullexplain.count({a:null}).count()
2
你看到问题了吗?当“a”存在并显式设置为空时,它被索引为空。
当文档中不存在“a”时,它也被索引为空。
当您查询时:
db.nullexplain.find({a:null},{_id:0,a:1})
{ "a" : null }
{ }
我们如何才能从索引中推导出返回文档是否应该将字段“a”设置为 null 或者该字段根本不应该存在?
答案是我们不能,因此我们必须检查文件本身。
db.nullexplain.find({a:null},{_id:0,a:1}).explain()
{
"cursor" : "BasicCursor",
"isMultiKey" : false,
"n" : 2,
"nscannedObjects" : 3,
"nscanned" : 3,
"nscannedObjectsAllPlans" : 3,
"nscannedAllPlans" : 3,
"scanAndOrder" : false,
"indexOnly" : false,
"nYields" : 0,
"nChunkSkips" : 0,
"millis" : 3,
"server" : "Asyas-MacBook-Pro.local:27017",
"filterSet" : false
}
希望这可以帮助您理解为什么查询
DeletedDate:null
必须检查文档而无法从索引中得到答案。关于mongodb - 为什么 indexOnly==false,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/26654735/