標籤:除了 複合式索引 end use key 讀寫 min 導致 指定
先給users集合插入兩條記錄,然後用users集合來進行索引管理的示範:
> user1={"name":"liming","age":20,"gender":"F"}{ "name" : "liming", "age" : 20, "gender" : "F" }> db.users.insert(user1)WriteResult({ "nInserted" : 1 })> user2={"name":"zhangsan","age":25,"gender":"F"}{ "name" : "zhangsan", "age" : 25, "gender" : "F" }> db.users.insert(user1)WriteResult({ "nInserted" : 1 })> db.users.count()2
建立索引:
mongodb使用createIndex()和ensureIndex()方法來建立索引,前者用於3.0及以上版本,後者用於3.0以下版本。
例1:給name欄位建立正序索引
> db.users.createIndex({"name":1}){ "createdCollectionAutomatically" : false, "numIndexesBefore" : 1, "numIndexesAfter" : 2, "ok" : 1}
例2:給name欄位建立倒序索引
> db.users.createIndex({"name":-1}){ "createdCollectionAutomatically" : false, "numIndexesBefore" : 2, "numIndexesAfter" : 3, "ok" : 1}
例3:給name,age欄位建立複合式索引
> db.users.createIndex({"name":1,"age":1}){ "createdCollectionAutomatically" : false, "numIndexesBefore" : 3, "numIndexesAfter" : 4, "ok" : 1}
例4:在後台給age欄位建立索引
> db.users.createIndex({age:1},{background:1}){ "createdCollectionAutomatically" : false, "numIndexesBefore" : 4, "numIndexesAfter" : 5, "ok" : 1}
在後台建立索引的原因:
在前台建立索引期間會鎖定資料庫,會導致其它操作無法進行資料讀寫,在後台建立索引是,會定期釋放寫鎖,從而保證其它操作的運行,但是後台操作會在耗時更長,尤其是在頻繁進行寫入的伺服器上。
查看索引:
MongoDB提供的查看索引資訊的方法:
getIndexes()方法可以用來查看集合的所有索引,
getIndexKeys()方法查看索引鍵。
totalIndexSize()查看集合索引的總大小,
getIndexSpecs()方法查看集合各索引的詳細資料
例1: getIndexes()的用法
> db.users.getIndexes()[ { "v" : 1, "key" : { "_id" : 1 }, "name" : "_id_", "ns" : "test1.users" }, { "v" : 1, "key" : { "name" : 1 }, "name" : "name_1", "ns" : "test1.users" }, { "v" : 1, "key" : { "name" : -1 }, "name" : "name_-1", "ns" : "test1.users" }, { "v" : 1, "key" : { "name" : 1, "age" : 1 }, "name" : "name_1_age_1", "ns" : "test1.users" }, { "v" : 1, "key" : { "age" : 1 }, "name" : "age_1", "ns" : "test1.users", "background" : 1 }]
例2:getIndexKeys()的用法
> db.users.getIndexKeys()[ { "_id" : 1 }, { "name" : 1 }, { "name" : -1 }, { "name" : 1, "age" : 1 }, { "age" : 1 }]
例3:totalIndexSize()的用法
> db.users.totalIndexSize()81920
例4:getIndexSpecs()的用法
> db.users.getIndexSpecs()[ { "v" : 1, "key" : { "_id" : 1 }, "name" : "_id_", "ns" : "test1.users" }, { "v" : 1, "key" : { "name" : 1 }, "name" : "name_1", "ns" : "test1.users" }, { "v" : 1, "key" : { "name" : -1 }, "name" : "name_-1", "ns" : "test1.users" }, { "v" : 1, "key" : { "name" : 1, "age" : 1 }, "name" : "name_1_age_1", "ns" : "test1.users" }, { "v" : 1, "key" : { "age" : 1 }, "name" : "age_1", "ns" : "test1.users", "background" : 1 }]
刪除索引:
不再需要的索引,我們可以將其刪除,mongodb提供兩種刪除索引的方法:
dropIndex()方法用於刪除指定的索引
dropIndexes()方法用於刪除全部的索引
例1:dropIndex()的用法
> db.users.dropIndex("name_1"){ "nIndexesWas" : 5, "ok" : 1 }> db.users.dropIndex("name_1_age_1"){ "nIndexesWas" : 4, "ok" : 1 }> db.users.getIndexSpecs()[ { "v" : 1, "key" : { "_id" : 1 }, "name" : "_id_", "ns" : "test1.users" }, { "v" : 1, "key" : { "name" : -1 }, "name" : "name_-1", "ns" : "test1.users" }, { "v" : 1, "key" : { "age" : 1 }, "name" : "age_1", "ns" : "test1.users", "background" : 1 }]
我們可以看到,name欄位的索引和name與age欄位的複合式索引皆被刪除
例2:dropIndexes()的用法
> db.users.dropIndexes(){ "nIndexesWas" : 3, "msg" : "non-_id indexes dropped for collection", "ok" : 1}> db.users.getIndexSpecs()[ { "v" : 1, "key" : { "_id" : 1 }, "name" : "_id_", "ns" : "test1.users" }]
在使用了dropIndexes()方法後,我們之前建的所有索引都被刪除掉了
索引重建:
我們之前把users的索引全部刪除了,現在在name欄位上建立一個正序索引,然後在name欄位上重建倒序索引,可以看到重建索引是把之前name欄位的索引刪掉再建立一個索引的,重建之前name欄位還是只有一個索引.
> db.users.createIndex({name:1}){ "createdCollectionAutomatically" : false, "numIndexesBefore" : 1, "numIndexesAfter" : 2, "ok" : 1}> db.users.getIndexSpecs()[ { "v" : 1, "key" : { "_id" : 1 }, "name" : "_id_", "ns" : "test1.users" }, { "v" : 1, "key" : { "name" : 1 }, "name" : "name_1", "ns" : "test1.users" }]> db.users.reIndex({name:-1}){ "nIndexesWas" : 2, "nIndexes" : 2, "indexes" : [ { "key" : { "_id" : 1 }, "name" : "_id_", "ns" : "test1.users" }, { "key" : { "name" : 1 }, "name" : "name_1", "ns" : "test1.users" } ], "ok" : 1}> db.users.getIndexSpecs()[ { "v" : 1, "key" : { "_id" : 1 }, "name" : "_id_", "ns" : "test1.users" }, { "v" : 1, "key" : { "name" : 1 }, "name" : "name_1", "ns" : "test1.users" }]
MongoDB索引管理——建立索引,查看索引,刪除索引,重建索引