mongo如何查询慢日志以及创建索引-创新互联
这篇文章给大家分享的是有关mongo如何查询慢日志以及创建索引的内容。小编觉得挺实用的，因此分享给大家做个参考，一起跟随小编过来看看吧。
1.查看mongodb慢日志是否开起
use LogDB;
db.getProfilingStatus();
2.开启慢日志，设置超过100毫秒的操作为慢操作
db.setProfilingLevel(1,100);
3.查看慢日志内容
db.system.profile.find().sort({$natural:-1})
日志，
shard3:PRIMARY> db.system.profile.find().sort({$natural:-1})
{ "op" : "query", "ns" : "LogDB.Flashxxx", "command" : { "find" : "Flashxxx", "filter" : { "UserId" : { "$in" : [ "1111111" ] } }, "shardVersion" : [ Timestamp(0, 0), ObjectId("000000000000000000000000") ], "lsid" : { "id" : UUID("d08179ba-ecbd-4f9d-92e7-cd491e5a1d8a"), "uid" : BinData(0,"iwsImy7Wfk2mAp4o/uuD+I9mpETQTxb5PXo26pIQkS4=") }, "$clusterTime" : { "clusterTime" : Timestamp(1558696199, 3), "signature" : { "hash" : BinData(0,"Ht7EWhYpVLiy+DbH8Cu1Ijs6PNk="), "keyId" : NumberLong("6647500774429425691") } }, "$client" : { "driver" : { "name" : "mongo-csharp-driver", "version" : "2.7.0.0" }, "os" : { "type" : "Windows", "name" : "Microsoft Windows 6.3.9600", "architecture" : "x86_64", "version" : "6.3.9600" }, "platform" : ".NET Framework 4.0.0.0", "mongos" : { "host" : "new-mongo01:20000", "client" : "10.205.33.32:59518", "version" : "3.6.9" } }, "$configServerState" : { "opTime" : { "ts" : Timestamp(1558696196, 12), "t" : NumberLong(3) } }, "$db" : "LogDB" }, "keysExamined" : 0, "docsExamined" : 37428, "cursorExhausted" : true, "numYield" : 292, "locks" : { "Global" : { "acquireCount" : { "r" : NumberLong(586) } }, "Database" : { "acquireCount" : { "r" : NumberLong(293) } }, "Collection" : { "acquireCount" : { "r" : NumberLong(293) } } }, "nreturned" : 1, "responseLength" : 673, "protocol" : "op_msg", "millis" : 104, "planSummary" : "COLLSCAN", "execStats" : { "stage" : "COLLSCAN", "filter" : { "UserId" : { "$eq" : "11111111115" } }, "nReturned" : 1, "executionTimeMillisEstimate" : 100, "works" : 37430, "advanced" : 1, "needTime" : 37428, "needYield" : 0, "saveState" : 292, "restoreState" : 292, "isEOF" : 1, "invalidates" : 0, "direction" : "forward", "docsExamined" : 37428 }, "ts" : ISODate("2019-05-24T11:09:59.346Z"), "client" : "10.205.34.91", "allUsers" : [ { "user" : "__system", "db" : "local" } ], "user" : "__system@local" }
注意COLLSCAN 是全表扫描。
查看执行计划：
db.FlashClientData.find({UserId: 1000493111}).explain()
shard3:PRIMARY> db.FlashClientData.find({UserId: 100049111}).explain()
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "LogDB.Flashxxx",
"indexFilterSet" : false,
"parsedQuery" : {
"UserId" : {
"$eq" : 10x0493111
}
},
"winningPlan" : {
"stage" : "COLLSCAN",<<<<<<<<----全表扫描
"filter" : {
"UserId" : {
"$eq" : 10x0493111
}
},
"direction" : "forward"
},
"rejectedPlans" : [ ]
},
创建索引：
db.Flashxxx.createIndex( {UserId: 1} ) // 按age字段创建升序索引
db.Flashxxx.getIndexes() // 查询集合的索引信息
shard3:PRIMARY> db.FlashClientData.find({UserId: 100049111}).explain()
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "LogDB.FlashClientData",
"indexFilterSet" : false,
"parsedQuery" : {
"UserId" : {
"$eq" : 100049111
}
},
"winningPlan" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "IXSCAN",,<<<<<<<<
"keyPattern" : {
"UserId" : 1
},
"indexName" : "UserId_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"UserId" : [ ]
},
"isUnique" : false,
删除指定的索引dropIndex()
db.COLLECTION_NAME.dropIndex("INDEX-NAME")
如，删除集合sites中名为"name_1_domain_-1"的索引：
单字段索引 （Single Field Index）
db.person.createIndex( {age: 1} )
{age: 1} 代表升序索引，也可以通过{age: -1}来指定降序索引，对于单字段索引，升序/降序效果是一样的。
单索引创建唯一索引，如：
db.persons.createIndex({name:1},{unique:true})
复合索引 (Compound Index)
db.person.createIndex( {age: 1, name: 1} )
多key索引 （Multikey Index）
{"name" : "jack", "age" : 19, habbit: ["football, runnning"]}
db.person.createIndex( {habbit: 1} ) // 自动创建多key索引
db.person.find( {habbit: "football"} )
感谢各位的阅读！关于“mongo如何查询慢日志以及创建索引”这篇文章就分享到这里了，希望以上内容可以对大家有一定的帮助，让大家可以学到更多知识，如果觉得文章不错，可以把它分享出去让更多的人看到吧！
网页题目：mongo如何查询慢日志以及创建索引-创新互联
标题来源：http://6mz.cn/article/dpjooo.html