数据表person中有一个name字段存入名字信息,类型是字符串。
db.person.find().pretty(); { “_id” : ObjectId(“5983d9d7b7f1aa5c1aafeafc”), “name” : “张三” } { “_id” : ObjectId(“5983d9d7b7f1aa5c1aafeafd”), “name” : “李四” } { “_id” : ObjectId(“5983d9d8b7f1aa5c1aafeafe”), “name” : “王五” } { “_id” : ObjectId(“5983d9e2b7f1aa5c1aafeaff”), “name” : “赵六” } { “_id” : ObjectId(“5983d9ebb7f1aa5c1aafeb00”), “name” : “马七” }
为其创建了索引:db.person.createIndex({name: 1}, {collation: {locale: “zh”}});
db.person.stats(); 查看索引信息: “indexSizes” : { “id” : 16384, “name_1” : 16384 },
前缀查找:> db.person.find({name: /^李/}).explain(‘allPlansExecution’);
“executionStats” : {
“executionSuccess” : true,
“nReturned” : 1,
“executionTimeMillis” : 0,
“totalKeysExamined” : 5,
“totalDocsExamined” : 5,
“executionStages” : {
“stage” : “FETCH”,
“filter” : {
“name” : {
“$regex” : “^李”
}
},
“nReturned” : 1,
“executionTimeMillisEstimate” : 0,
“works” : 6,
“advanced” : 1,
“needTime” : 4,
“needYield” : 0,
“saveState” : 0,
“restoreState” : 0,
“isEOF” : 1,
“invalidates” : 0,
“docsExamined” : 5,
“alreadyHasObj” : 0,
“inputStage” : {
“stage” : “IXSCAN”,
“nReturned” : 5,
“executionTimeMillisEstimate” : 0,
“works” : 6,
“advanced” : 5,
“needTime” : 0,
“needYield” : 0,
“saveState” : 0,
“restoreState” : 0,
“isEOF” : 1,
“invalidates” : 0,
“keyPattern” : {
“name” : 1
},
“indexName” : “name_1”,
“collation” : {
“locale” : “zh”,
“caseLevel” : false,
“caseFirst” : “off”,
“strength” : 3,
“numericOrdering” : false,
“alternate” : “non-ignorable”,
“maxVariable” : “punct”,
“normalization” : false,
“backwards” : false,
“version” : “57.1”
},
“isMultiKey” : false,
“multiKeyPaths” : {
“name” : [ ]
},
“isUnique” : false,
“isSparse” : false,
“isPartial” : false,
“indexVersion” : 2,
“direction” : “forward”,
“indexBounds” : {
“name” : [
“[”", {})",
“[/^李/, /^李/]”
]
},
“keysExamined” : 5,
“seeks” : 1,
“dupsTested” : 0,
“dupsDropped” : 0,
“seenInvalidated” : 0
}
},
“allPlansExecution” : [ ]
},
完全查找:> db.person.find({name: ‘李四’}).explain(‘allPlansExecution’);
“executionStats” : {
“executionSuccess” : true,
“nReturned” : 1,
“executionTimeMillis” : 0,
“totalKeysExamined” : 0,
“totalDocsExamined” : 5,
“executionStages” : {
“stage” : “COLLSCAN”,
“filter” : {
“name” : {
“$eq” : “李四”
}
},
“nReturned” : 1,
“executionTimeMillisEstimate” : 0,
“works” : 7,
“advanced” : 1,
“needTime” : 5,
“needYield” : 0,
“saveState” : 0,
“restoreState” : 0,
“isEOF” : 1,
“invalidates” : 0,
“direction” : “forward”,
“docsExamined” : 5
},
“allPlansExecution” : [ ]
},
前缀查找还是扫描了所有记录?,完全查找竟然没有启用索引?
mongodb 文本字段查询及索引建立见:https://docs.mongodb.com/manual/reference/operator/query/text/
@haozxuan 用了这种索引测试了一下,发现无法用 前缀查找,也无法中间查找,只能查全部:
db.person.getIndices(); 查看text索引: [ { “v” : 2, “key” : { “_id” : 1 }, “name” : “id”, “ns” : “libra.person” }, { “v” : 2, “key” : { “_fts” : “text”, “_ftsx” : 1 }, “name” : “name_text”, “ns” : “libra.person”, “language_override” : “simplified chinese”, “weights” : { “name” : 1 }, “default_language” : “english”, “textIndexVersion” : 3 } ] db.person.find( { $text: { $search: “张” } } ); 返回空 db.person.find( { $text: { $search: “三” } } ); 返回空 db.person.find( { $text: { $search: “张三” } } );
{ “_id” : ObjectId(“5983d9d7b7f1aa5c1aafeafc”), “name” : “张三” }
@maxxfire 你可以db.person.find({$test:{$search:“张”}}).explain() 看下,即使你强制在创建索引的事情修改语言格式,但是在查询时,使用的仍旧是English,所以你是查询不出来的。至于原因,参见截图:
@haozxuan 企业版是付费的吧,不过我想到一个曲线救国的办法来解决 中文索引的问题。 就是先把中文转成拼音,存储到另外一个字段,这个就变成搜索英文了,索引就可以生效了。