1. 插入集合数据
   范例

   db.dept.insert([
   {
       "deptNo":20,
       "deptName":"赵云",
       "age":18
   },
   {
       "deptNo":30,
       "deptName":"张飞",
       "age":19
   },
   {
       "deptNo":50,
       "deptName":"关羽",
       "age":30
   }
   ]);  
   

2. 批量插入数据
   2.1 批量数据可以采用JavaScript来实现

   for(var i = 100;i<10100;i++){
       db.dept.insert({"deptNo":i,"deptName":"关羽-"+i});
   }   
   

1. db.集合名称.find({查询条件}[,{设置显示的字段}]);

    db.dept.find({"_id" : ObjectId("57a34adceb779c50e1e9ddd9")});
db.dept.find({"_id" : ObjectId("57a34adceb779c50e1e9ddd9")},{"_id":0,"deptName":1});

说明 字段显示为1，不显示为0，默认是1
2. 数据格式显示（漂亮显示）
db.dept.find().pretty();
需要列多的时候才有效果
3. db.depte.findOne();

1. Mongodb中的关系有 大于( g t ) , 小 于 ( gt),小于( gt),小于(lt)，大于等于( g t e ) , 小 于 等 于 ( gte),小于等于( gte),小于等于(lte),不等于( n e ) , 等 于 ( ne),等于( ne),等于(eq),

db.students.insert([
    {"name":"关羽","sex":"男","age":18,"score":89,"address":"中国钓鱼岛"},
    {"name":"赵云","sex":"男","age":20,"score":100,"address":"中国深圳"},
    {"name":"黄忠","sex":"男","age":23,"score":98,"address":"中国西沙群岛"},
    {"name":"张飞","sex":"男","age":32,"score":60,"address":"中国南海"},
    {"name":"陆逊","sex":"男","age":18,"score":50,"address":"中国西海"},
    {"name":"黄盖","sex":"男","age":30,"score":100,"address":"中国东海"},
    {"name":"盖聂","sex":"男","age":30,"score":78,"address":"中国渤海"},
    {"name":"项羽","sex":"男","age":25,"score":66,"address":"中国北京"},
    {"name":"天明","sex":"男","age":20,"score":52,"address":"中国上海"},
    {"name":"韦庄","sex":"男","age":35,"score":63,"address":"中国洞庭湖"},
    {"name":"刘邦","sex":"男","age":40,"score":77,"address":"中国长江"},
    {"name":"韩信","sex":"男","age":39,"score":99,"address":"中国黄河"},
    {"name":"高月","sex":"女","age":18,"score":90,"address":"中国泰山"},
    {"name":"端木蓉","sex":"女","age":15,"score":88,"address":"中国华山"},
    {"name":"秦始皇","sex":"男","age":25,"score":100,"address":"中国岳阳"}
]);
db.students.insert({"name":"小明","sex":"男","age":18,"score":89,"address":"中国钓鱼岛","course":["数学","英语","政治"]});
db.students.insert({"name":"小西","sex":"男","age":18,"score":89,"address":"中国钓鱼岛","course":["化学","数学","政治"]});
db.students.insert({"name":"寒梅","sex":"男","age":18,"score":89,"address":"中国钓鱼岛","course":["数学","英语","政治","生物"]});
db.students.insert({"name":"小磊","sex":"男","age":18,"score":89,"address":"中国钓鱼岛","course":["数学","英语","政治","化学","劳动"]});

1.1 查询姓名是张飞的信息
db.students.find({“name”:“张飞”}).pretty();
注意： 在所有关系逻辑操作中只有相等才是如上写法，其他的判断都需要嵌套子JSON
1.2 查询年龄大于20的信息
语法 db.collection.find({ “field” : {KaTeX parse error: Expected 'EOF', got '}' at position 11: gt: value }̲ } ); ==…gt":20}}).pretty();

2. in 和 not in ($in $nin)
   2.1 语法db.collection.find( { "field" : { $in : array } } );
   2.2 范例 db.students.find({"age" : { $in : [35,20,15,18] } } );

逻辑运算符：与( a n d ) , 或 ( and),或( and),或(or),非( n o t , not, not,nor)

1. and
   查询年龄在20~30之间的信息
   语法
   范例 db.students.find({"age" : {"$gt" : 20,"$lt":30}}).pretty();
   and是最简单的操作，只需要通过,分割条件即可

2. or
   db.students.find({"$or":[{"age" : {"$lt":50}},{"score":{"$gt":80}}]}).pretty();

3. 非
   db.students.find({"$nor":[{"age" : {"$lt":18}},{"score":{"$gt":80}}]}).pretty();

4. 求模
   语法 {"$mod":[数字,余数]}
   查找年龄是20的倍数
   范例 db.students.find({"age":{"$mod":[20,0]}});

5. 数组查询
   在Mongodb中支持数组的保存，针对数组数据进行判断，可以使用 a l l , ∗ ∗ , ∗ ∗ all,**,** all,∗∗,∗∗size, s l i c e ∗ ∗ , ∗ ∗ slice**,** slice∗∗,∗∗elemMatch
   范例 查询同时是参加语文和数学课程的学生

   db.students.find({"course":{"$all":["数学","英语"]}});   
   db.students.find({"course":{"$size":3}});   
   db.students.find({"age":18},{"course":{"$slice":1}}).pretty();   
   db.students.find({"age":18},{"course":{"$slice":[1,2]}}).pretty();
    
   
   

   {"$slice":[1,2]} —> [1,2]表示跳过一个，返回2个

1. MongoDB 3 和三以前的操作方式不一样
2. MongoDB 3以前的操作方式如下

   1. 添加Jar包
   <!--mongodb驱动-->
   <dependency>
       <groupId>org.mongodb</groupId>
       <artifactId>mongo-java-driver</artifactId>
       <version>3.2.8</version>
   </dependency>
   <!--spring-mongodb驱动-->
   <dependency>
       <groupId>org.springframework.data</groupId>
       <artifactId>spring-data-mongodb</artifactId>
       <version>1.8.2.RELEASE</version>
   </dependency>
   
   2. 设置要练级的额数据库的主机名称与端口号  
       MongoClient client = new MongoClient("localhost",27001);
   3. 连接数据库
       DB db = client.getDB("haoya");
   4. 进行数据库的用户名与密码验证
       db.authenticate("","".toCharArray());
       
       //获得说有的集合
       String[] list = db.getCollection();
       
       //获得指定的集合
       DBBCollection col = db.getCollection("集合名称");
       
       //设置查询条件
       DBObject cond = BasicDBObject();
       cond.put("depton",new BasicDBObject("$gte",1000).append("$lte",2000));
       
       //获得集合的全部类容
       //DBCursor cursor = col.find();
       //分页获得数据
       //DBCursor cursor = col.find().skip(0).limit(20);
      
       DBCursor cursor = col.find(cond).skip(0).limit(20);
       while(cursor.hasNext()){
           //得到每一行的数据
           DBObject obj = cursor.next();
           
           System.out.println("部门编号：" + obj.get("deptno"));
           
       }
       //关闭数据库
       client.close();