首页 > 数据库技术 > 详细

MongoDB中的explain和hin提的使用

时间:2018-02-23 00:12:41      阅读:288      评论:0      收藏:0      [点我收藏+]

一、简介

这里简单介绍一下各个工具的使用场景,一般用mysql,redis,mongodb做存储层,hadoop,spark做大数据分析。
  • mysql适合结构化数据,类似excel表格一样定义严格的数据,用于数据量中,速度一般支持事务处理场合

  • redis适合缓存内存对象,如缓存队列,用于数据量小,速度快不支持事务处理高并发场合

  • mongodb,适合半结构化数据,如文本信息,用于数据量大,速度较快不支持事务处理场合

  • hadoop是个生态系统,上面有大数据分析很多组件,适合事后大数据分析任务

  • spark类似hadoop,偏向于内存计算,流计算,适合实时半实时大数据分析任务

移动互联网及物联网让数据呈指数增长,NoSql大数据新起后,数据存储领域发展很快,似乎方向都是向大数据,内存计算,分布式框架,平台化发展,出现不少新的方法,普通应用TB,GB级别达不到PB级别的数据存储,用mongodb,mysql就够了,hadoop,spark这类是航母一般多是大规模应用场景,多用于事后分析统计用,如电商的推荐系统分析系统。IAO

看标题,这里是不是跑题了呢,显然不是,了解一下mongodb在存储中的位置还是非常有必要的,explain 和 hint 一看就知道是从mysql借鉴过来的(猜的),实际就是检测查询语句的性能和使用强制索引

二、explain

先写入测试数据

db.test.insertMany([
 { "_id" : 1, "a" : "f1", b: "food", c: 500 },
 { "_id" : 2, "a" : "f2", b: "food", c: 100 },
 { "_id" : 3, "a" : "p1", b: "paper", c: 200 },
 { "_id" : 4, "a" : "p2", b: "paper", c: 150 },
 { "_id" : 5, "a" : "f3", b: "food", c: 300 },
 { "_id" : 6, "a" : "t1", b: "toys", c: 500 },
 { "_id" : 7, "a" : "a1", b: "apparel", c: 250 },
 { "_id" : 8, "a" : "a2", b: "apparel", c: 400 },
 { "_id" : 9, "a" : "t2", b: "toys", c: 50 },
 { "_id" : 10, "a" : "f4", b: "food", c: 75 }]);

 写入成功返回值

{
        "acknowledged" : true,
        "insertedIds" : [
                1,
                2,
                3,
                4,
                5,
                6,
                7,
                8,
                9,
                10
        ]
}

开始查询

> db.test.find();
{ "_id" : 1, "a" : "f1", "b" : "food", "c" : 500 }
{ "_id" : 2, "a" : "f2", "b" : "food", "c" : 100 }
{ "_id" : 3, "a" : "p1", "b" : "paper", "c" : 200 }
{ "_id" : 4, "a" : "p2", "b" : "paper", "c" : 150 }
{ "_id" : 5, "a" : "f3", "b" : "food", "c" : 300 }
{ "_id" : 6, "a" : "t1", "b" : "toys", "c" : 500 }
{ "_id" : 7, "a" : "a1", "b" : "apparel", "c" : 250 }
{ "_id" : 8, "a" : "a2", "b" : "apparel", "c" : 400 }
{ "_id" : 9, "a" : "t2", "b" : "toys", "c" : 50 }
{ "_id" : 10, "a" : "f4", "b" : "food", "c" : 75 }
> db.test.find().count();
10
> db.test.find({ c: { $gte: 100, $lte: 200 }}).count()
3
> db.test.find({ c: { $gte: 100, $lte: 200 }}).explain("executionStats")
{
        "queryPlanner" : {
                "plannerVersion" : 1,
                "namespace" : "test.test",
                "indexFilterSet" : false,
                "parsedQuery" : {
                        "$and" : [
                                {
                                        "c" : {
                                                "$lte" : 200
                                        }
                                },
                                {
                                        "c" : {
                                                "$gte" : 100
                                        }
                                }
                        ]
                },
                "winningPlan" : {
                        "stage" : "COLLSCAN",
                        "filter" : {
                                "$and" : [
                                        {
                                                "c" : {
                                                        "$lte" : 200
                                                }
                                        },
                                        {
                                                "c" : {
                                                        "$gte" : 100
                                                }
                                        }
                                ]
                        },
                        "direction" : "forward"
                },
                "rejectedPlans" : [ ]
        },
        "executionStats" : {
                "executionSuccess" : true,
                "nReturned" : 3,
                "executionTimeMillis" : 0,
                "totalKeysExamined" : 0,
                "totalDocsExamined" : 10,
                "executionStages" : {
                        "stage" : "COLLSCAN",
                        "filter" : {
                                "$and" : [
                                        {
                                                "c" : {
                                                        "$lte" : 200
                                                }
                                        },
                                        {
                                                "c" : {
                                                        "$gte" : 100
                                                }
                                        }
                                ]
                        },
                        "nReturned" : 3,
                        "executionTimeMillisEstimate" : 0,
                        "works" : 12,
                        "advanced" : 3,
                        "needTime" : 8,
                        "needYield" : 0,
                        "saveState" : 0,
                        "restoreState" : 0,
                        "isEOF" : 1,
                        "invalidates" : 0,
                        "direction" : "forward",
                        "docsExamined" : 10
                }
        },
        "serverInfo" : {
                "host" : "iZbp1g11g0cdeeq9ht9fhjZ",
                "port" : 27017,
                "version" : "3.4.12",
                "gitVersion" : "bfde702b19c1baad532ed183a871c12630c1bbba"
        },
        "ok" : 1
}

看一下几个关键词

"stage" : "COLLSCAN",

"nReturned" : 3,

"totalDocsExamined" : 10,

全部扫描,不走索引,这里只是演示,所以数据量比较少,如果数据量多起来这样查询将会很慢,甚至会卡死

COLLSCAN

      这个是什么意思呢? 如果你仔细一看,应该知道就是CollectionScan,就是所谓的“集合扫描”,对不对,看到集合扫描是不是就可以直接map到数据库中的table scan/heap scan呢??? 是的,这个就是所谓的性能最烂最无奈的由来。

nReturned

      这个很简单,就是所谓的numReturned,就是说最后返回的num个数,从图中可以看到,就是最终返回了三条。。。

docsExamined

     那这个是什么意思呢??就是documentsExamined,检查了10个documents。。。而从返回上面的nReturned。

创建索引并查询

> db.test.createIndex({ c:1})
{
        "createdCollectionAutomatically" : false,
        "numIndexesBefore" : 1,
        "numIndexesAfter" : 2,
        "ok" : 1
}
> db.test.find({ c: { $gte: 100, $lte: 200 }}).explain("executionStats")
{
        "queryPlanner" : {
                "plannerVersion" : 1,
                "namespace" : "test.test",
                "indexFilterSet" : false,
                "parsedQuery" : {
                        "$and" : [
                                {
                                        "c" : {
                                                "$lte" : 200
                                        }
                                },
                                {
                                        "c" : {
                                                "$gte" : 100
                                        }
                                }
                        ]
                },
                "winningPlan" : {
                        "stage" : "FETCH",
                        "inputStage" : {
                                "stage" : "IXSCAN",
                                "keyPattern" : {
                                        "c" : 1
                                },
                                "indexName" : "c_1",
                                "isMultiKey" : false,
                                "isUnique" : false,
                                "isSparse" : false,
                                "isPartial" : false,
                                "indexVersion" : 1,
                                "direction" : "forward",
                                "indexBounds" : {
                                        "c" : [
                                                "[100.0, 200.0]"
                                        ]
                                }
                        }
                },
                "rejectedPlans" : [ ]
        },
        "executionStats" : {
                "executionSuccess" : true,
                "nReturned" : 3,
                "executionTimeMillis" : 0,
                "totalKeysExamined" : 3,
                "totalDocsExamined" : 3,
                "executionStages" : {
                        "stage" : "FETCH",
                        "nReturned" : 3,
                        "executionTimeMillisEstimate" : 0,
                        "works" : 4,
                        "advanced" : 3,
                        "needTime" : 0,
                        "needYield" : 0,
                        "saveState" : 0,
                        "restoreState" : 0,
                        "isEOF" : 1,
                        "invalidates" : 0,
                        "docsExamined" : 3,
                        "alreadyHasObj" : 0,
                        "inputStage" : {
                                "stage" : "IXSCAN",
                                "nReturned" : 3,
                                "executionTimeMillisEstimate" : 0,
                                "works" : 4,
                                "advanced" : 3,
                                "needTime" : 0,
                                "needYield" : 0,
                                "saveState" : 0,
                                "restoreState" : 0,
                                "isEOF" : 1,
                                "invalidates" : 0,
                                "keyPattern" : {
                                        "c" : 1
                                },
                                "indexName" : "c_1",
                                "isMultiKey" : false,
                                "isUnique" : false,
                                "isSparse" : false,
                                "isPartial" : false,
                                "indexVersion" : 1,
                                "direction" : "forward",
                                "indexBounds" : {
                                        "c" : [
                                                "[100.0, 200.0]"
                                        ]
                                },
                                "keysExamined" : 3,
                                "seeks" : 1,
                                "dupsTested" : 0,
                                "dupsDropped" : 0,
                                "seenInvalidated" : 0
                        }
                }
        },
        "serverInfo" : {
                "host" : "iZbp1g11g0cdeeq9ht9fhjZ",
                "port" : 27017,
                "version" : "3.4.12",
                "gitVersion" : "bfde702b19c1baad532ed183a871c12630c1bbba"
        },
        "ok" : 1
}

 再看看上面几个关键词

"stage" : "IXSCAN"

"totalDocsExamined" : 3,

瞬间就少了,这样查询时间也会大大减少

三、hint

这时一个很好玩的一个东西,就是用来force mongodb to excute special index,对吧,为了方便演示,我们做两组复合索引,比如这次我们在c和b上构建一下:

创建索引

> db.test.createIndex({ c:1,b:1})
{
        "createdCollectionAutomatically" : false,
        "numIndexesBefore" : 2,
        "numIndexesAfter" : 3,
        "ok" : 1
}
> db.test.createIndex({ b:1,c:1})
{
        "createdCollectionAutomatically" : false,
        "numIndexesBefore" : 3,
        "numIndexesAfter" : 4,
        "ok" : 1
}

  hint查询

> db.test.find({ c: { $gte: 100, $lte: 200 },b:"food"}).hint({c:1,b:1}).explain("executionStats")
{
        "queryPlanner" : {
                "plannerVersion" : 1,
                "namespace" : "test.test",
                "indexFilterSet" : false,
                "parsedQuery" : {
                        "$and" : [
                                {
                                        "b" : {
                                                "$eq" : "food"
                                        }
                                },
                                {
                                        "c" : {
                                                "$lte" : 200
                                        }
                                },
                                {
                                        "c" : {
                                                "$gte" : 100
                                        }
                                }
                        ]
                },
                "winningPlan" : {
                        "stage" : "FETCH",
                        "inputStage" : {
                                "stage" : "IXSCAN",
                                "keyPattern" : {
                                        "c" : 1,
                                        "b" : 1
                                },
                                "indexName" : "c_1_b_1",
                                "isMultiKey" : false,
                                "isUnique" : false,
                                "isSparse" : false,
                                "isPartial" : false,
                                "indexVersion" : 1,
                                "direction" : "forward",
                                "indexBounds" : {
                                        "c" : [
                                                "[100.0, 200.0]"
                                        ],
                                        "b" : [
                                                "[\"food\", \"food\"]"
                                        ]
                                }
                        }
                },
                "rejectedPlans" : [ ]
        },
        "executionStats" : {
                "executionSuccess" : true,
                "nReturned" : 1,
                "executionTimeMillis" : 0,
                "totalKeysExamined" : 3,
                "totalDocsExamined" : 1,
                "executionStages" : {
                        "stage" : "FETCH",
                        "nReturned" : 1,
                        "executionTimeMillisEstimate" : 10,
                        "works" : 3,
                        "advanced" : 1,
                        "needTime" : 1,
                        "needYield" : 0,
                        "saveState" : 0,
                        "restoreState" : 0,
                        "isEOF" : 1,
                        "invalidates" : 0,
                        "docsExamined" : 1,
                        "alreadyHasObj" : 0,
                        "inputStage" : {
                                "stage" : "IXSCAN",
                                "nReturned" : 1,
                                "executionTimeMillisEstimate" : 10,
                                "works" : 3,
                                "advanced" : 1,
                                "needTime" : 1,
                                "needYield" : 0,
                                "saveState" : 0,
                                "restoreState" : 0,
                                "isEOF" : 1,
                                "invalidates" : 0,
                                "keyPattern" : {
                                        "c" : 1,
                                        "b" : 1
                                },
                                "indexName" : "c_1_b_1",
                                "isMultiKey" : false,
                                "isUnique" : false,
                                "isSparse" : false,
                                "isPartial" : false,
                                "indexVersion" : 1,
                                "direction" : "forward",
                                "indexBounds" : {
                                        "c" : [
                                                "[100.0, 200.0]"
                                        ],
                                        "b" : [
                                                "[\"food\", \"food\"]"
                                        ]
                                },
                                "keysExamined" : 3,
                                "seeks" : 2,
                                "dupsTested" : 0,
                                "dupsDropped" : 0,
                                "seenInvalidated" : 0
                        }
                }
        },
        "serverInfo" : {
                "host" : "iZbp1g11g0cdeeq9ht9fhjZ",
                "port" : 27017,
                "version" : "3.4.12",
                "gitVersion" : "bfde702b19c1baad532ed183a871c12630c1bbba"
        },
        "ok" : 1
}

 正常查询

> db.test.find({ c: { $gte: 100, $lte: 200 },b:"food"}).explain("executionStats")
{
        "queryPlanner" : {
                "plannerVersion" : 1,
                "namespace" : "test.test",
                "indexFilterSet" : false,
                "parsedQuery" : {
                        "$and" : [
                                {
                                        "b" : {
                                                "$eq" : "food"
                                        }
                                },
                                {
                                        "c" : {
                                                "$lte" : 200
                                        }
                                },
                                {
                                        "c" : {
                                                "$gte" : 100
                                        }
                                }
                        ]
                },
                "winningPlan" : {
                        "stage" : "FETCH",
                        "inputStage" : {
                                "stage" : "IXSCAN",
                                "keyPattern" : {
                                        "b" : 1,
                                        "c" : 1
                                },
                                "indexName" : "b_1_c_1",
                                "isMultiKey" : false,
                                "isUnique" : false,
                                "isSparse" : false,
                                "isPartial" : false,
                                "indexVersion" : 1,
                                "direction" : "forward",
                                "indexBounds" : {
                                        "b" : [
                                                "[\"food\", \"food\"]"
                                        ],
                                        "c" : [
                                                "[100.0, 200.0]"
                                        ]
                                }
                        }
                },
                "rejectedPlans" : [
                        {
                                "stage" : "FETCH",
                                "inputStage" : {
                                        "stage" : "IXSCAN",
                                        "keyPattern" : {
                                                "c" : 1,
                                                "b" : 1
                                        },
                                        "indexName" : "c_1_b_1",
                                        "isMultiKey" : false,
                                        "isUnique" : false,
                                        "isSparse" : false,
                                        "isPartial" : false,
                                        "indexVersion" : 1,
                                        "direction" : "forward",
                                        "indexBounds" : {
                                                "c" : [
                                                        "[100.0, 200.0]"
                                                ],
                                                "b" : [
                                                        "[\"food\", \"food\"]"
                                                ]
                                        }
                                }
                        },
                        {
                                "stage" : "FETCH",
                                "filter" : {
                                        "b" : {
                                                "$eq" : "food"
                                        }
                                },
                                "inputStage" : {
                                        "stage" : "IXSCAN",
                                        "keyPattern" : {
                                                "c" : 1
                                        },
                                        "indexName" : "c_1",
                                        "isMultiKey" : false,
                                        "isUnique" : false,
                                        "isSparse" : false,
                                        "isPartial" : false,
                                        "indexVersion" : 1,
                                        "direction" : "forward",
                                        "indexBounds" : {
                                                "c" : [
                                                        "[100.0, 200.0]"
                                                ]
                                        }
                                }
                        }
                ]
        },
        "executionStats" : {
                "executionSuccess" : true,
                "nReturned" : 1,
                "executionTimeMillis" : 0,
                "totalKeysExamined" : 1,
                "totalDocsExamined" : 1,
                "executionStages" : {
                        "stage" : "FETCH",
                        "nReturned" : 1,
                        "executionTimeMillisEstimate" : 0,
                        "works" : 3,
                        "advanced" : 1,
                        "needTime" : 0,
                        "needYield" : 0,
                        "saveState" : 0,
                        "restoreState" : 0,
                        "isEOF" : 1,
                        "invalidates" : 0,
                        "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,
                                "invalidates" : 0,
                                "keyPattern" : {
                                        "b" : 1,
                                        "c" : 1
                                },
                                "indexName" : "b_1_c_1",
                                "isMultiKey" : false,
                                "isUnique" : false,
                                "isSparse" : false,
                                "isPartial" : false,
                                "indexVersion" : 1,
                                "direction" : "forward",
                                "indexBounds" : {
                                        "b" : [
                                                "[\"food\", \"food\"]"
                                        ],
                                        "c" : [
                                                "[100.0, 200.0]"
                                        ]
                                },
                                "keysExamined" : 1,
                                "seeks" : 1,
                                "dupsTested" : 0,
                                "dupsDropped" : 0,
                                "seenInvalidated" : 0
                        }
                }
        },
        "serverInfo" : {
                "host" : "iZbp1g11g0cdeeq9ht9fhjZ",
                "port" : 27017,
                "version" : "3.4.12",
                "gitVersion" : "bfde702b19c1baad532ed183a871c12630c1bbba"
        },
        "ok" : 1
}

  主要对比的还是:

"totalKeysExamined" : 3,
"totalDocsExamined" : 1,

和 

"totalKeysExamined" : 1,
"totalDocsExamined" : 1,

 

是不是比较有意思,有时候monogdb并不会,走你想要的索引,当你创建多个联合索引的时候,情况就比较明显了

MongoDB中的explain和hin提的使用

原文:https://www.cnblogs.com/chenpingzhao/p/8460544.html

(0)
(0)
   
举报
评论 一句话评论(0
关于我们 - 联系我们 - 留言反馈 - 联系我们:wmxa8@hotmail.com
© 2014 bubuko.com 版权所有
打开技术之扣,分享程序人生!