我有大约1000万的MongoDB文档。我试图在db db.outMessage.find({ "text" : /.*m.*/})中搜索文本,但是花费了太长时间(大约30秒)没有结果,但是如果我搜索现有的文本,它只用了不到一秒。我试着把索引放在text上,结果也一样。
db.outMessage.find({ "text" : /.*m.*/}).explain(true){
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "notification_center.outMessage",
"indexFilterSet" : false,
"parsedQuery" : {
"text" : {
"$regex" : ".*m.*"
}
},
"winningPlan" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "IXSCAN",
"filter" : {
"text" : {
"$regex" : ".*m.*"
}
},
"keyPattern" : {
"text" : 1
},
"indexName" : "text",
"isMultiKey" : false,
"multiKeyPaths" : {
"text" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"text" : [
"[\"\", {})",
"[/.*m.*/, /.*m.*/]"
]
}
}
},
"rejectedPlans" : [ ]
},
"executionStats" : {
"executionSuccess" : true,
"nReturned" : 0,
"executionTimeMillis" : 14354,
"totalKeysExamined" : 10263270,
"totalDocsExamined" : 0,
"executionStages" : {
"stage" : "FETCH",
"nReturned" : 0,
"executionTimeMillisEstimate" : 12957,
"works" : 10263271,
"advanced" : 0,
"needTime" : 10263270,
"needYield" : 0,
"saveState" : 80258,
"restoreState" : 80258,
"isEOF" : 1,
"invalidates" : 0,
"docsExamined" : 0,
"alreadyHasObj" : 0,
"inputStage" : {
"stage" : "IXSCAN",
"filter" : {
"text" : {
"$regex" : ".*m.*"
}
},
"nReturned" : 0,
"executionTimeMillisEstimate" : 12461,
"works" : 10263271,
"advanced" : 0,
"needTime" : 10263270,
"needYield" : 0,
"saveState" : 80258,
"restoreState" : 80258,
"isEOF" : 1,
"invalidates" : 0,
"keyPattern" : {
"text" : 1
},
"indexName" : "text",
"isMultiKey" : false,
"multiKeyPaths" : {
"text" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"text" : [
"[\"\", {})",
"[/.*m.*/, /.*m.*/]"
]
},
"keysExamined" : 10263270,
"seeks" : 1,
"dupsTested" : 0,
"dupsDropped" : 0,
"seenInvalidated" : 0
}
},
"allPlansExecution" : [ ]
},
"serverInfo" : {
"host" : "acsdptest.arabiacell.net",
"port" : 27017,
"version" : "3.4.7",
"gitVersion" : "cf38c1b8a0a8dca4a11737581beafef4fe120bcd"
},发布于 2020-12-29 10:21:59
该索引将本质上是text字段的所有值的列表,按照词典编排顺序,即按第一个字母排序。
由于查询执行器无法预测哪些值可能包含'm',因此它必须检查所有索引条目。
在这个查询中,这意味着如果索引不在缓存中,那么在从磁盘读取索引键之后,将检查10,263,270个索引键。
如果这实际上是关键字搜索,而不是单字母匹配,则可以使用$text查询运算符,这需要一个text index
https://stackoverflow.com/questions/65477386
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