第1关：了解并创建一个简单索引

 

> use test

switched to db test

> db.student.insert([{_id:1,name:"王小明",age:15,score:90},{_id:2,name:"周晓晓",age:18,score:86},{_id:3,name:"王敏",age:20,score:96},{_id:4,name:"李晓亮",age:15,score:74},{_id:5,name:"张青青",age:21,score:88}])

BulkWriteResult({

        "writeErrors" : [ ],

        "writeConcernErrors" : [ ],

        "nInserted" : 5,

        "nUpserted" : 0,

        "nMatched" : 0,

        "nModified" : 0,

        "nRemoved" : 0,

        "upserted" : [ ]

})

> db.student.createIndex({score:-1})

{

        "createdCollectionAutomatically" : false,

        "numIndexesBefore" : 1,

        "numIndexesAfter" : 2,

        "ok" : 1

}

第2关：常见索引的创建

编程要求

根据提示，在右侧命令行进行操作，在 test2 数据库中创建集合 article，内容如下：

_id	title	tags	follwers
1	提升程序员工作效率的6个工具利器	Alfred，幕布	543
2	我是如何从零开始学习前端的	HTML，Html5，CSS	1570
3	20个非常有用的JAVA程序片段	Java，编程	1920

集合创建完成后，按要求创建以下索引：

• 用字段 follwers 和 title 创建复合升序索引；

• 用字段 tags 创建多 key 降序索引；

• 用_id创建哈希索引；

• 用字段 title 和 tags 创建文本索引。

  > use test2

  switched to db test2

  > db.article.insert([

  {_id:1,title:"提升程序员工作效率的6个工具利器",tags:["Alfred","幕布"],follwers:543},

  {_id:2,title:"我是如何从零开始学习前端的",tags:["HTML","Html5","CSS"],follwers:1570},

  {_id:3,title:"20个非常有用的JAVA程序片段",tags:["Java","编程"],follwers:1920}])

  BulkWriteResult({

          "writeErrors" : [ ],

          "writeConcernErrors" : [ ],

          "nInserted" : 3,

          "nUpserted" : 0,

          "nMatched" : 0,

          "nModified" : 0,

          "nRemoved" : 0,

          "upserted" : [ ]

  })

  > db.article.createIndex({follwers:1,title:1})

  {

          "createdCollectionAutomatically" : false,

          "numIndexesBefore" : 1,

          "numIndexesAfter" : 2,

          "ok" : 1

  }

  > db.article.createIndex({tags:-1})

  {

          "createdCollectionAutomatically" : false,

          "numIndexesBefore" : 2,

          "numIndexesAfter" : 3,

          "ok" : 1

  }

  > db.article.createIndex({_id:'hashed'})

  {

          "createdCollectionAutomatically" : false,

          "numIndexesBefore" : 3,

          "numIndexesAfter" : 4,

          "ok" : 1

  }

  > db.article.createIndex({title:'text',tags:'text'})

  {

          "createdCollectionAutomatically" : false,

          "numIndexesBefore" : 4,

          "numIndexesAfter" : 5,

          "ok" : 1

  }

第3关：有趣的地理位置索引

编程要求

如图4所示，有6个人 A、B、C、D、E、F 的位置，请将这些位置信息插入到数据库 test3 的集合 people 中，并建立地理位置索引 personloc。

• 查询 A 周围100~3000米有哪些人；

• 查询 B 周围100~5000米有哪些人；

• 查询 C 周围3000~8000米有哪些人；

• 查询 D 周围3000~8000米有哪些人。

• 请逐条插入以下信息和位置 GeoJson 数据：

• {_id:1,name:'A',personloc:{type:'Point',coordinates:[116.403981,39.914935]}}
• {_id:2,name:'B',personloc:{type:'Point',coordinates:[116.433733,39.909511]}}
• {_id:3,name:'C',personloc:{type:'Point',coordinates:[116.488781,39.949901]}}
• {_id:4,name:'D',personloc:{type:'Point',coordinates:[116.342609,39.948021]}}
• {_id:5,name:'E',personloc:{type:'Point',coordinates:[116.328236,39.901098]}}
• {_id:6,name:'F',personloc:{type:'Point',coordinates:[116.385728,39.871645]}}

echo "

db.people.insert({_id:1,name:'A',personloc:{type:'Point',coordinates:[116.403981,39.914935]}});

db.people.insert({_id:2,name:'B',personloc:{type:'Point',coordinates:[116.433733,39.909511]}});

db.people.insert({_id:3,name:'C',personloc:{type:'Point',coordinates:[116.488781,39.949901]}});

db.people.insert({_id:4,name:'D',personloc:{type:'Point',coordinates:[116.342609,39.948021]}});

db.people.insert({_id:5,name:'E',personloc:{type:'Point',coordinates:[116.328236,39.901098]}});

db.people.insert({_id:6,name:'F',personloc:{type:'Point',coordinates:[116.385728,39.871645]}});

db.people.createIndex({personloc:'2dsphere'});

db.runCommand({geoNear:'people',near:{type:'Point',coordinates:[116.403981,39.914935]},spherical:true,minDistance:100,maxDistance:3000});

db.runCommand({geoNear:'people',near:{type:'Point',coordinates:[116.433733,39.909511]},spherical:true,minDistance:100,maxDistance:5000});

db.runCommand({geoNear:'people',near:{type:'Point',coordinates:[116.488781,39.949901]},spherical:true,minDistance:3000,maxDistance:8000});

db.runCommand({geoNear:'people',near:{type:'Point',coordinates:[116.342609,39.948021]},spherical:true,minDistance:3000,maxDistance:8000});

"