环境: mongodb 3.6
查询如下。
db.Examples.createIndex({updatedAt:1, difficulty:1, rankFactor:1})
db.Examples.find({
updatedAt:{
$gte:new ISODate("2019-06-26T10:15:59.330+0800"),
$lt: new ISODate("2019-06-27T10:15:59.330+0800")
},
difficulty:{$in:[1,2,3]},
})
.sort({"rankFactor":-1})
.limit(1000)
.explain("executionStats")
官方文档说索引是有序的,举的例子也是有 $gt 操作的。
https://docs.mongodb.com/manu...
可我这的结果却是:
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "example.Examples",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"updatedAt" : {
"$lt" : ISODate("2019-06-27T10:15:59.330+08:00")
}
},
{
"updatedAt" : {
"$gte" : ISODate("2019-06-26T10:15:59.330+08:00")
}
},
{
"difficulty" : {
"$in" : [
1,
2,
3
]
}
}
]
},
"winningPlan" : {
"stage" : "SORT",
"sortPattern" : {
"rankFactor" : -1
},
"limitAmount" : 1000,
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"updatedAt" : 1,
"difficulty" : 1,
"rankFactor" : 1
},
"indexName" : "updatedAt_1_difficulty_1_rankFactor_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"updatedAt" : [ ],
"difficulty" : [ ],
"rankFactor" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"updatedAt" : [
"[new Date(1561515359330), new Date(1561601759330))"
],
"difficulty" : [
"[1.0, 1.0]",
"[2.0, 2.0]",
"[3.0, 3.0]"
],
"rankFactor" : [
"[MinKey, MaxKey]"
]
}
}
}
}
},
"rejectedPlans" : [
{
"stage" : "SORT",
"sortPattern" : {
"rankFactor" : -1
},
"limitAmount" : 1000,
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"updatedAt" : {
"$lt" : ISODate("2019-06-27T10:15:59.330+08:00")
}
},
{
"updatedAt" : {
"$gte" : ISODate("2019-06-26T10:15:59.330+08:00")
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"difficulty" : 1,
"likes" : 1
},
"indexName" : "difficulty_1_likes_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"difficulty" : [ ],
"likes" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"difficulty" : [
"[1.0, 1.0]",
"[2.0, 2.0]",
"[3.0, 3.0]"
],
"likes" : [
"[MinKey, MaxKey]"
]
}
}
}
}
}
]
},
"executionStats" : {
"executionSuccess" : true,
"nReturned" : 1,
"executionTimeMillis" : 0,
"totalKeysExamined" : 1,
"totalDocsExamined" : 1,
"executionStages" : {
"stage" : "SORT",
"nReturned" : 1,
"executionTimeMillisEstimate" : 0,
"works" : 6,
"advanced" : 1,
"needTime" : 3,
"needYield" : 0,
"saveState" : 0,
"restoreState" : 0,
"isEOF" : 1,
"invalidates" : 0,
"sortPattern" : {
"rankFactor" : -1
},
"memUsage" : 750,
"memLimit" : 33554432,
"limitAmount" : 1000,
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"nReturned" : 1,
"executionTimeMillisEstimate" : 0,
"works" : 3,
"advanced" : 1,
"needTime" : 1,
"needYield" : 0,
"saveState" : 0,
"restoreState" : 0,
"isEOF" : 1,
"invalidates" : 0,
"inputStage" : {
"stage" : "FETCH",
"nReturned" : 1,
"executionTimeMillisEstimate" : 0,
"works" : 2,
"advanced" : 1,
"needTime" : 0,
"needYield" : 0,
"saveState" : 0,
"restoreState" : 0,
"isEOF" : 1,
"invalidates" : 0,
"docsExamined" : 1,
"alreadyHasObj" : 0,
"inputStage" : {
"stage" : "IXSCAN",
"nReturned" : 1,
"executionTimeMillisEstimate" : 0,
"works" : 2,
"advanced" : 1,
"needTime" : 0,
"needYield" : 0,
"saveState" : 0,
"restoreState" : 0,
"isEOF" : 1,
"invalidates" : 0,
"keyPattern" : {
"updatedAt" : 1,
"difficulty" : 1,
"rankFactor" : 1
},
"indexName" : "updatedAt_1_difficulty_1_rankFactor_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"updatedAt" : [ ],
"difficulty" : [ ],
"rankFactor" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"updatedAt" : [
"[new Date(1561515359330), new Date(1561601759330))"
],
"difficulty" : [
"[1.0, 1.0]",
"[2.0, 2.0]",
"[3.0, 3.0]"
],
"rankFactor" : [
"[MinKey, MaxKey]"
]
},
"keysExamined" : 1,
"seeks" : 1,
"dupsTested" : 0,
"dupsDropped" : 0,
"seenInvalidated" : 0
}
}
}
}
},
"ok" : 1
}
索引的创建方式修改为:db.Examples.createIndex({difficulty:1, rankFactor:1, updatedAt:1})
{精确匹配字段,排序字段,范围查询字段}这样的索引排序会更为高效