zoukankan      html  css  js  c++  java
  • MongoDB_09——执行计划

    索引的执行计划

    • 1:分析查询性能(Analyze Query Performance)通常使用执行计划(解释计划,explain Plan)来查询的情况,如查询耗费的时间,是否基于索引查询等.

    • 那么,通常,我们想知道,建立的索引是否有效,效果如何,都需要通过执行计划查看。

      语法:
          db.collection.find(query,options).explain(options)
      --------------------------------------------------------------------
      #根据userid查询数据的情况
      db.comment.find({userid:"1003"}).explain()
      
      执行:
      > db.comment.find({userid:"1003"})
      { "_id" : "3", "articleid" : "100003", "content" : "我爱你,绩憨憨3", "userid" : "1003", "nickname" : "hanhan", "createdatetime" : ISODate("2020-02-28T14:45:54.235Z"), "likenum" : 10, "state" : null }
          
          
        
      > db.comment.find({userid:"1003"}).explain()
      {
              "queryPlanner" : {
                      "plannerVersion" : 1,
                      "namespace" : "comment.comment",
                      "indexFilterSet" : false,
                      "parsedQuery" : {
                              "userid" : {
                                      "$eq" : "1003"
                              }
                      },
                      "queryHash" : "37A12FC3",
                      "planCacheKey" : "37A12FC3",
                      "winningPlan" : {
                              "stage" : "COLLSCAN",           #集合扫描,全部扫描
                              "filter" : {
                                      "userid" : {
                                              "$eq" : "1003"
                                      }
                              },
                              "direction" : "forward"
                      },
                      "rejectedPlans" : [ ]
              },
              "serverInfo" : {
                      "host" : "LAPTOP-ZJ",
                      "port" : 27017,
                      "version" : "4.2.3",
                      "gitVersion" : "6874650b362138df74be53d366bbefc321ea32d4"
              },
              "ok" : 1
      }
      #加上索引,看效果
      db.comment.createIndex({userid:1})
      > db.comment.createIndex({userid:1})
      {
              "createdCollectionAutomatically" : false,
              "numIndexesBefore" : 1,
              "numIndexesAfter" : 2,
              "ok" : 1
      }
      
      
      > db.comment.find({userid:"1003"}).explain({})
      {
              "queryPlanner" : {
                      "plannerVersion" : 1,
                      "namespace" : "comment.comment",
                      "indexFilterSet" : false,
                      "parsedQuery" : {
                              "userid" : {
                                      "$eq" : "1003"
                              }
                      },
                      "winningPlan" : {
                              "stage" : "FETCH",      #这里是FETCH,拉取,有用了索引
                              "inputStage" : {
                                      "stage" : "IXSCAN",
                                      "keyPattern" : {
                                              "userid" : 1
                                      },
                                      "indexName" : "userid_1",
                                      "isMultiKey" : false,
                                      "multiKeyPaths" : {
                                              "userid" : [ ]
                                      },
                                      "isUnique" : false,
                                      "isSparse" : false,
                                      "isPartial" : false,
                                      "indexVersion" : 2,
                                      "direction" : "forward",
                                      "indexBounds" : {
                                              "userid" : [
                                                      "["1003", "1003"]"
                                              ]
                                      }
                              }
                      },
                      "rejectedPlans" : [ ]
              },
              "executionStats" : {
                      "executionSuccess" : true,
                      "nReturned" : 1,
                      "executionTimeMillis" : 3,
                      "totalKeysExamined" : 1,
                      "totalDocsExamined" : 1,
                      "executionStages" : {
                              "stage" : "FETCH",
                              "nReturned" : 1,
                              "executionTimeMillisEstimate" : 0,
                              "works" : 2,
                              "advanced" : 1,
                              "needTime" : 0,
                              "needYield" : 0,
                              "saveState" : 0,
                              "restoreState" : 0,
                              "isEOF" : 1,
                              "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,
                                      "keyPattern" : {
                                              "userid" : 1
                                      },
                                      "indexName" : "userid_1",
                                      "isMultiKey" : false,
                                      "multiKeyPaths" : {
                                              "userid" : [ ]
                                      },
                                      "isUnique" : false,
                                      "isSparse" : false,
                                      "isPartial" : false,
                                      "indexVersion" : 2,
                                      "direction" : "forward",
                                      "indexBounds" : {
                                              "userid" : [
                                                      "["1003", "1003"]"
                                              ]
                                      },
                                      "keysExamined" : 1,
                                      "seeks" : 1,
                                      "dupsTested" : 0,
                                      "dupsDropped" : 0
                              }
                      },
                      "allPlansExecution" : [ ]
              },
              "serverInfo" : {
                      "host" : "LAPTOP-ZJ",
                      "port" : 27017,
                      "version" : "4.2.3",
                      "gitVersion" : "6874650b362138df74be53d366bbefc321ea32d4"
              },
              "ok" : 1
      }
      
      #先通过IXSCAN,再FETCH
      
      
      
      
  • 相关阅读:
    五大存储模型关系模型、键值存储、文档存储、列式存储、图形数据库
    UML语言中类之间关系
    hadoop的yarn资源队列
    Scala中下划线的7种用法
    《机器学习》(周志华)西瓜书读书笔记(完结)
    Pytorch DistributedDataParallel简明使用指南
    本地查看SSH远程连接服务器上的TensorBoard
    python max()用法
    实现go并发的三种方式
    docker分阶段构造nginx镜像
  • 原文地址:https://www.cnblogs.com/zhoujun007/p/12388907.html
Copyright © 2011-2022 走看看