1. ensureIndex添加索引 ensureIndex 函数帮助文档 db.blog.ensureIndex(keypattern[,options]) - options is an object with these possible fields: name, unique, dropDups name:指定索引名称 unique:是否唯一索引 dropDups:是否删除重复 创建索引的缺点:每次插入、更新、删除时都会产生额外的开销,要尽可能少创建索引。每个集合默认的最大索引个数为64个。 如果没有对应的键,索引会将其作为null存储,所以,如果对某个建立了唯一索引,但插入了多个缺少该索引键的文档,则由于文档包含null值而导致插入失败。 例子 > db.users.find() { "_id" : ObjectId("4fc6d0c9387a7fee4eb6bfa9"), "name" : "aaa", "age" : 23, "sex" : "male" } { "_id" : ObjectId("4fc6d0e5387a7fee4eb6bfaa"), "name" : "bbb", "age" : 25, "sex" : "male" } { "_id" : ObjectId("4fc6d0f4387a7fee4eb6bfab"), "name" : "ccc", "age" : 25, "sex" : "male" } { "_id" : ObjectId("4fc6d100387a7fee4eb6bfac"), "name" : "ddd", "age" : 25, "sex" : "male" } { "_id" : ObjectId("4fc6d110387a7fee4eb6bfad"), "name" : "eee", "age" : 23, "sex" : "male" } > db.users.ensureIndex({"name":1,"age":-1},{"name":"userIndex"}) //1,-1代表索引方向 //查找索引 > db.system.indexes.find() { "name" : "_id_", "ns" : "blog.users", "key" : { "_id" : 1 }, "v" : 0 } { "_id" : ObjectId("4fc6d1d0387a7fee4eb6bfb1"), "ns" : "blog.users", "key" : { "name" : 1, "age" : -1 }, "name" : "userIndex", "v" : 0 }
2. explain()监控索引使用情况 > db.users.find({"name":"qff","age":23}).explain() { "cursor" : "BtreeCursor userIndex",//没有使用索引时为BasicCursor,索引存储在B树结构中,所以使用查询时候会使用BtreeCursor类型的游标,userIndex为使用索引的名称 "nscanned" : 1,//查找了多少个文档 "nscannedObjects" : 1, "n" : 1,//返回文档的数量 "millis" : 50,//数据库执行查询时间 "nYields" : 0, "nChunkSkips" : 0, "isMultiKey" : false, "indexOnly" : false, "indexBounds" : { "name" : [ [ "qff", "qff" ] ], "age" : [ [ 23, 23 ] ] } }
3. hint强制使用某个索引 > db.users.find({"age":23,"name":/.*/}).hint({"name":1,"age":-1}) { "_id" : ObjectId("4fc6d110387a7fee4eb6bfad"), "name" : "aaa", "age" : 23, "sex " : "male" } { "_id" : ObjectId("4fc6d121387a7fee4eb6bfaf"), "name" : "bbb", "age" : 23, "se x" : "male" } { "_id" : ObjectId("4fc6d11b387a7fee4eb6bfae"), "name" : "ccc", "age" : 23, "sex " : "male" } { "_id" : ObjectId("4fc6d12b387a7fee4eb6bfb0"), "name" : "ddd", "age" : 23, "se x" : "male" } { "_id" : ObjectId("4fc6d0c9387a7fee4eb6bfa9"), "name" : "eee", "age" : 23, " sex" : "male" } MongoDB的查询优化器非常智能,会替你选择该用哪个索引,多数情况下不需要指定的。
参考推荐:
Create a Unique Index(官方文档)