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  • MongoDB索引使用

    提升数据库检索性能的手段

    通过getIndexes()来获取已经存在的索引内容

    db.students.getIndexes();
    
    /* 1 */
    [
        {
            "v" : 1,
            "key" : {
                "_id" : 1
            },
            "name" : "_id_",
            "ns" : "mldn.students"
        }
    ]
    

    创建自己的索引

    范例:创建一个索引,在age列加一个将序索引

    db.students.ensureIndex({"age":-1});
    
    /* 1 */
    [
        {
            "v" : 1,
            "key" : {
                "_id" : 1
            },
            "name" : "_id_",
            "ns" : "mldn.students"
        },
        {
            "v" : 1,
            "key" : {
                "age" : -1.0
            },
            "name" : "age_-1",
            "ns" : "mldn.students"
        }
    ]
    

    使用解释来分析索引

    db.students.find({"age":19}).explain();
    
    
    /* 1 */
    {
        "queryPlanner" : {
            "plannerVersion" : 1,
            "namespace" : "mldn.students",
            "indexFilterSet" : false,
            "parsedQuery" : {
                "age" : {
                    "$eq" : 19.0
                }
            },
            "winningPlan" : {
                "stage" : "FETCH",
                "inputStage" : {
                    "stage" : "IXSCAN",
                    "keyPattern" : {
                        "age" : -1.0
                    },
                    "indexName" : "age_-1",
                    "isMultiKey" : false,
                    "isUnique" : false,
                    "isSparse" : false,
                    "isPartial" : false,
                    "indexVersion" : 1,
                    "direction" : "forward",
                    "indexBounds" : {
                        "age" : [ 
                            "[19.0, 19.0]"
                        ]
                    }
                }
            },
            "rejectedPlans" : []
        },
        "serverInfo" : {
            "host" : "jiqing",
            "port" : 27017,
            "version" : "3.2.17-25-gae6f04a",
            "gitVersion" : "ae6f04a7cd143132fb3185669a8abc5d7c4ab3cc"
        },
        "ok" : 1.0
    }
    

    再分析一个没有索引的成员

    db.students.find({"score":{"$gt":80}}).explain();
    
    /* 1 */
    {
        "queryPlanner" : {
            "plannerVersion" : 1,
            "namespace" : "mldn.students",
            "indexFilterSet" : false,
            "parsedQuery" : {
                "score" : {
                    "$gt" : 80.0
                }
            },
            "winningPlan" : {
                "stage" : "COLLSCAN",
                "filter" : {
                    "score" : {
                        "$gt" : 80.0
                    }
                },
                "direction" : "forward"
            },
            "rejectedPlans" : []
        },
        "serverInfo" : {
            "host" : "jiqing",
            "port" : 27017,
            "version" : "3.2.17-25-gae6f04a",
            "gitVersion" : "ae6f04a7cd143132fb3185669a8abc5d7c4ab3cc"
        },
        "ok" : 1.0
    }
    

    有索引和没索引的成员一起使用呢?

    db.students.find({"$and":[
            {"age":{"$gt":19}},
            {"score":{"$gt":80}}
        ]}).explain();
    

    and的时候用到了索引,or的时候没有用到。

    可以定义复合索引

    db.students.ensureIndex({"age":-1,"score":-1},{"name":"age_score_index"});
    
    /* 1 */
    [
        {
            "v" : 1,
            "key" : {
                "_id" : 1
            },
            "name" : "_id_",
            "ns" : "mldn.students"
        },
        {
            "v" : 1,
            "key" : {
                "age" : -1.0
            },
            "name" : "age_-1",
            "ns" : "mldn.students"
        },
        {
            "v" : 1,
            "key" : {
                "age" : -1.0,
                "score" : -1.0
            },
            "name" : "age_score_index",
            "ns" : "mldn.students"
        }
    ]
    

    强制使用索引

    db.students.find({"$or":[
            {"age":{"$gt":19}},
            {"score":{"$gt":80}}
        ]}).hint({"age":-1,"score":-1}).explain();
    

    删除索引

    db.students.dropIndex({"age":-1,"score":-1});
    
    

    删除全部索引,但是不会删除主键索引

    db.students.dropIndexes();
    
    

    唯一索引

    主要的目的是使得某个字段上的内容不重复。

    范例:创建一个唯一索引

    db.students.ensureIndex({"name":1},{"unique":true});
    
    
    /* 1 */
    [
        {
            "v" : 1,
            "key" : {
                "_id" : 1
            },
            "name" : "_id_",
            "ns" : "mldn.students"
        },
        {
            "v" : 1,
            "unique" : true,
            "key" : {
                "name" : 1.0
            },
            "name" : "name_1",
            "ns" : "mldn.students"
        }
    ]
    

    这个时候如果插入的姓名已存在,将会报错。

    E11000 duplicate key error collection: mldn.students index: name_1 dup key: { : "张三" }
    
    

    过期索引

    用于手机验证码之类的与时间期限的数据。

    db.phones.ensureIndex({"time":1},{expireAfterSeconds:10});
    
    
    db.phones.insert({"tel":"110","code":"110","time":new Date()});
    db.phones.insert({"tel":"111","code":"111","time":new Date()});
    db.phones.insert({"tel":"112","code":"112","time":new Date()});
    db.phones.insert({"tel":"113","code":"113","time":new Date()});
    db.phones.insert({"tel":"114","code":"114","time":new Date()});
    db.phones.insert({"tel":"115","code":"115","time":new Date()});
    db.phones.insert({"tel":"116","code":"116","time":new Date()});
    db.phones.insert({"tel":"117","code":"117","time":new Date()});
    
    

    设置过期时间10秒,但是会有延迟。时间到了后,会删除。

    全文索引

    db.news.insert({"title":"aaa","content":"啦啦啦"});
    db.news.insert({"title":"bbb","content":"乐乐乐"});
    db.news.insert({"title":"ccc","content":"咕咕咕"});
    db.news.insert({"title":"ddd","content":"噜噜噜"});
    db.news.insert({"title":"eee","content":"驴驴驴"});
    db.news.insert({"title":"abc","content":"啦乐噜"});
    
    
    db.news.ensureIndex({"title":"text","content":"text"});
    

    地理索引

    插入数据

    db.shop.insert({loc:[10,10]});
    
    db.shop.insert({loc:[11,10]});
    
    db.shop.insert({loc:[10,11]});
    
    db.shop.insert({loc:[12,15]});
    
    db.shop.insert({loc:[16,17]});
    
    db.shop.insert({loc:[90,90]});
    
    db.shop.insert({loc:[120,130]});
    
    

    范例: 为shop的集合定义2D索引

    db.shop.ensureIndex({"loc":"2d"});
    

    near,geoWithin

    范例:查询[11,11]附近的点

    db.shop.find({"loc":{"$near":[11,11]}});
    

    默认返回100条

    db.shop.find({"loc":{"$near":[11,11],"$maxDistance":5}});
    
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  • 原文地址:https://www.cnblogs.com/jiqing9006/p/7866150.html
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