MongoDB优化（三） ---- system profile

前面两章记录如何修改默认的配置和索引调优的策略，本章将介绍mongo自带的分析工具profiling

准备工作

启动mongoDB切换至需要的库

./mongo  --username xx  --password xx  --port xx  --authenticationDatabase xxx

> use IDP2

查看当前的profile等级

> db.getProfilingLevel()
0

返回 0 代表当前没有设置profiling等级。

关于等级官方有解释，传送门：https://docs.mongodb.com/manual/reference/method/db.setProfilingLevel/

这里简单解释一下一共有 0， 1， 2三个等级，

默认等级是0，代表关闭

等级1，如果设置了时间则会记录比设置时间慢的请求，无设置则默认慢查询100ms

等级2，记录所有的查询请求

这里查询过滤100ms以上的请求来观察

> db.setProfilingLevel(1,100)
{ "was" : 0, "slowms" : 100, "ok" : 1 }

接下来就可以开始性能请求操作了

操作完成后，我们需要先关闭掉profiling再做操作，避免因为手工操作引起的记录

> db.setProfilingLevel(0)
{ "was" : 1, "slowms" : 100, "ok" : 1 }

> db.system.profile.count()
992

可以看到一共记录了992条数据，再查看详细的数据都是操作了什么很慢。

> db.system.profile.find({}, {ns:1,op:1,millis:1,query:1})
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 165 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 188 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 172 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 190 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 161 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 157 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 160 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 151 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 140 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 132 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 133 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 107 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 119 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 126 }
{ "op" : "query", "ns" : "IDP2.OrganizationUnit", "query" : { "find" : "OrganizationUnit", "filter" : { "archived" : false, "externalId" : "OU0 992164adf79adf35b7ab795565d736a627b4zz74clb", "enterpriseUuid" : "5beed120546802f0a35fff3998eae8fa8JzyFIiIHxt" }, "ntoreturn" : -1 }, "millis" : 149 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 219 }
{ "op" : "query", "ns" : "IDP2.OrganizationUnit", "query" : { "find" : "OrganizationUnit", "filter" : { "_id" : "zjs_3_1353", "enterpriseUuid" : "5beed120546802f0a35fff3998eae8fa8JzyFIiIHxt" }, "ntoreturn" : -1 }, "millis" : 145 }
{ "op" : "query", "ns" : "IDP2.OrganizationUnit", "query" : { "find" : "OrganizationUnit", "filter" : { "archived" : false, "enterpriseUuid" : "5beed120546802f0a35fff3998eae8fa8JzyFIiIHxt", "rootNode" : true }, "ntoreturn" : -1 }, "millis" : 150 }
{ "op" : "insert", "ns" : "IDP2.SessionEnterpriseUser", "millis" : 103 }
{ "op" : "query", "ns" : "IDP2.ApplicationInformation", "query" : { "find" : "ApplicationInformation", "filter" : { "archived" : false, "applicationUuid" : "2a4a8b5fd24e77907d0938a5db8d8352NcfqwsKNOoy", "enterpriseId" : "cs5" }, "ntoreturn" : -1 }, "millis" : 171 }
Type "it" for more
> it
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitUDGroup", "millis" : 105 }
{ "op" : "insert", "ns" : "IDP2.AuditLog", "millis" : 130 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnit", "millis" : 123 }
{ "op" : "insert", "ns" : "IDP2.OrganizationUnitOU", "millis" : 115 }
{ "op" : "insert", "ns" : "IDP2.UDGroup", "millis" : 135 }
{ "op" : "query", "ns" : "IDP2.PSMemberRole", "query" : { "find" : "PSMemberRole", "filter" : { "memberUuid" : "0ffd3ff5f9ebc6107968ebe5150cffdbxiZj1vfaG1I" } }, "millis" : 115 }
{ "op" : "insert", "ns" : "IDP2.UDGroup", "millis" : 294 }
{ "op" : "insert", "ns" : "IDP2.UDGroup", "millis" : 202 }
{ "op" : "insert", "ns" : "IDP2.UDGroup", "millis" : 159 }
{ "op" : "insert", "ns" : "IDP2.AuditLog", "millis" : 162 }
{ "op" : "insert", "ns" : "IDP2.UDGroup", "millis" : 157 }
{ "op" : "insert", "ns" : "IDP2.UDGroup", "millis" : 141 }
{ "op" : "insert", "ns" : "IDP2.UDGroup", "millis" : 238 }
{ "op" : "insert", "ns" : "IDP2.UDGroup", "millis" : 328 }
{ "op" : "insert", "ns" : "IDP2.UDGroup", "millis" : 131 }
{ "op" : "insert", "ns" : "IDP2.UDGroup", "millis" : 308 }
{ "op" : "update", "ns" : "IDP2.OrganizationUnit", "query" : { "_id" : "f90263c56f5257226f0e28e25f5f6198Wb1GsbgeuLe" }, "millis" : 169 }
{ "op" : "insert", "ns" : "IDP2.UDGroup", "millis" : 218 }
{ "op" : "query", "ns" : "IDP2.ApplicationInformation", "query" : { "find" : "ApplicationInformation", "filter" : { "applicationUuid" : "2a4a8b5fd24e77907d0938a5db8d8352NcfqwsKNOoy", "enterpriseId" : "cs5" }, "ntoreturn" : -1 }, "millis" : 120 }
{ "op" : "insert", "ns" : "IDP2.UDGroup", "millis" : 140 }
Type "it" for more

可以通过继续输入 “it”来查看更多。

{ "op" : "insert",   --- 操作是插入
 "ns" : "IDP2.UDGroup",   ----  表是UGGroup
 "millis" : 140 }    ----  花费时间是140ms

接下来就根据不同的操作查看表是不是建立了合理的索引，如果没有则对索引进行修改即可。

当我们分析完成以后通过

db.system.profile.drop()

来清空这些捕捉到的数据，清空之前需要先关闭profiling。

MongoDB优化（三） ---- system profile

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