PCB C# MongoDB 查询(SQL,NOSQL,C#对比)

一.准备阶段

1.查询数据清单准备

2.这里先将SQL语句执行顺序列出来，方便后面语句对比更好理解

(8)SELECT
(9)DISTINCT
(11)<Top Num> <select list>
(1)FROM [left_table]
(3)<join_type> JOIN <right_table>
(2)             ON <join_condition>
(4)WHERE <where_condition>
(5)GROUP BY <group_by_list>
(6)WITH <CUBE | RollUP>
(7)HAVING <having_condition>
(10)ORDER BY <order_by_list>

二.查询全表

1. SQL:

select * from ppeflow

2. MongoDB NO SQL:

 db.ppeflow.find() 

3. MongoDB  C#

            IMongoCollection<ppeflow> ppeflows = db.GetCollection<ppeflow>("ppeflow");//指定数据库
            FilterDefinitionBuilder<ppeflow> builderFilter = Builders<ppeflow>.Filter;   //创建过滤
            FilterDefinition<ppeflow> filter = builderFilter.Empty;//过滤为空
            var resultList = ppeflows.Find(filter).ToList();//获取集合 

三.查询数据总数

1. SQL:

select count(1) from ppeflow

2. MongoDB NO SQL:

db.ppeflow.find({}).count()

3. MongoDB  C#

            IMongoCollection<ppeflow> ppeflows = db.GetCollection<ppeflow>("ppeflow");//指定数据库
            FilterDefinitionBuilder<ppeflow> builderFilter = Builders<ppeflow>.Filter; //创建过滤
            FilterDefinition<ppeflow> filter = builderFilter.Empty;//过滤为空
            var result = ppeflows.CountDocuments(filter); //获得集合数量

四.查询并排序

1. SQL:

select * from ppeflow order by orderid

select *from ppeflow order by orderid desc 

2. MongoDB NO SQL:

db.ppeflow.find().sort({'orderid':1})

db.ppeflow.find().sort({'orderid':-1})

3. MongoDB  C#

方式一

            IMongoCollection<ppeflow> ppeflows = db.GetCollection<ppeflow>("ppeflow");//指定数据库
            FilterDefinitionBuilder<ppeflow> builderFilter = Builders<ppeflow>.Filter; //创建过滤
            FilterDefinition<ppeflow> filter = builderFilter.Empty;//过滤为空
            var builderSort = Builders<ppeflow>.Sort.Ascending(t => t.orderid); //创建排序
            var resultList = ppeflows.Find(filter).Sort(builderSort).ToList();//获取集合

方式二

            IMongoCollection<ppeflow> ppeflows = db.GetCollection<ppeflow>("ppeflow");//指定数据库
            FilterDefinitionBuilder<ppeflow> builderFilter = Builders<ppeflow>.Filter; //创建过
            FilterDefinition<ppeflow> filter = builderFilter.Empty;//过滤为空
            var resultList = ppeflows.Find(filter).SortByDescending(t => t.orderid).ToList();//获取集合

五.查询TOP前10条记录

1. SQL:

select top 10 * from ppeflow

2. MongoDB NO SQL:

db.ppeflow.find().limit(10)

3. MongoDB  C#

            IMongoCollection<ppeflow> ppeflows = db.GetCollection<ppeflow>("ppeflow");//指定数据库
            FilterDefinitionBuilder<ppeflow> builderFilter = Builders<ppeflow>.Filter; //创建过滤
            FilterDefinition<ppeflow> filter = builderFilter.Empty;//过滤为空
            var resultList = ppeflows.Find(filter).Limit().ToList();//获取集合

六.查询从第6条到第10条记录（即：跳过前5条记录起的后5条记录）

1. SQL:

select * from ppeflow limit 5,5          

2. MongoDB NO SQL:

db.ppeflow.find().skip(5).limit(5)

3. MongoDB  C#

            IMongoCollection<ppeflow> ppeflows = db.GetCollection<ppeflow>("ppeflow");//指定数据库
            FilterDefinitionBuilder<ppeflow> builderFilter = Builders<ppeflow>.Filter; //创建过滤
            FilterDefinition<ppeflow> filter = builderFilter.Empty;//过滤为空
            var resultList = ppeflows.Find(filter).Skip().Limit().ToList();//获取集合

七.查询distinct去除重复字段

1. SQL:

select DISTINCT techname from ppeflow

2. MongoDB NO SQL:

db.ppeflow.distinct('techname')

3. MongoDB  C#

            IMongoCollection<ppeflow> ppeflows = db.GetCollection<ppeflow>("ppeflow");//指定数据库
            FilterDefinitionBuilder<ppeflow> builderFilter = Builders<ppeflow>.Filter; //创建过滤
            FilterDefinition<ppeflow> filter = builderFilter.Empty;//过滤为空
            var resultList = ppeflows.Distinct(tt => tt.techname, filter).ToList();//获取集合

八.查询Group by分组

1. SQL:

select techname,count(1) as total from ppeflow group by techname

2. MongoDB NO SQL:

db.ppeflow.group({
key:{ "techname":true}
,initial: {techname:'',total: 0}
,reduce: function(doc, out)
       { 
         out.techname = doc.techname; 
         out.total += doc.orderid; 
       }
})

3. MongoDB  C#

            //待完善

九.查询条件>，>=，<，<=,<>

1. SQL:

select techname from ppeflow where orderid > 10

select techname from ppeflow where orderid >= 10

select techname from ppeflow where orderid < 10

select techname from ppeflow where orderid <= 10

select techname from ppeflow where orderid <> 10

2. MongoDB NO SQL:

db.ppeflow.find({'orderid':{$gt:10}},{'techname':1})

db.ppeflow.find({'orderid':{$gte:10}},{'techname':1})

db.ppeflow.find({'orderid':{$lt:10}},{'techname':1})

db.ppeflow.find({'orderid':{$lte:10}},{'techname':1})

db.ppeflow.find({'orderid':{$ne:10}},{'techname':1})

3. MongoDB  C#

            IMongoCollection<ppeflow> ppeflows = db.GetCollection<ppeflow>("ppeflow");//指定数据库
            FilterDefinitionBuilder<ppeflow> builderFilter = Builders<ppeflow>.Filter; //创建过滤
            FilterDefinition<ppeflow> filter = builderFilter.Where(t => t.orderid > ); ;//过滤条件  改为对应的>=,<,<=,!=
            var resultList = ppeflows.Find(filter).ToList();//获取集合

十.查询条件in与not in

1. SQL:

select * from ppeflow where orderid  in (10,11,12)

select * from ppeflow where orderid  not in (10,11,12)

2. MongoDB NO SQL:

db.ppeflow.find({'orderid':{$in:[10,11,12]}})

db.ppeflow.find({'orderid':{$nin:[10,11,12]}})

3. MongoDB  C#

            IMongoCollection<ppeflow> ppeflows = db.GetCollection<ppeflow>("ppeflow");//指定数据库
            FilterDefinitionBuilder<ppeflow> builderFilter = Builders<ppeflow>.Filter; //创建过滤
            var filter = builderFilter.In(tt => tt.orderid, new List<int> { , ,  });//In 条件 或Nin
            var resultList = ppeflows.Find(filter).ToList();//获取集合

十一.查询模糊查询 like

1. SQL:

select * from ppeflow where techname like '%钻孔%'

select * from ppeflow where techname like '钻孔%'

select * from ppeflow where techname like '%钻孔'

2. MongoDB NO SQL:

说明：i 忽略大小写  m 多行匹配模式  x 忽略非转义的空白字符   s 单 匹配模式

db.ppeflow.find( { 'techname': /钻孔/i } )

db.ppeflow.find( { 'techname': /钻孔$/i } )

db.ppeflow.find( { 'techname': /^钻孔/i } )

3. MongoDB  C#

            IMongoCollection<ppeflow> ppeflows = db.GetCollection<ppeflow>("ppeflow");//指定数据库
            FilterDefinitionBuilder<ppeflow> builderFilter = Builders<ppeflow>.Filter; //创建过滤
            var filter = builderFilter.Regex(tt => tt.techname, new BsonRegularExpression("/钻孔/i")); //正则匹配
            var resultList = ppeflows.Find(filter).ToList();//获取集合

十二.查询多条件逻辑 or与and

1. SQL:

select * from ppeflow where techname = '开料' or techname = '钻孔'

select * from ppeflow where orderid = 2 and techname = '钻孔'

2. MongoDB NO SQL

db.ppeflow.find({$or:[{'techname':'开料'},{'techname':'钻孔'}]})

db.ppeflow.find({$and:[{'orderid':2},{'techname':'钻孔'}]})

3. MongoDB  C#

C#  or

            IMongoCollection<ppeflow> ppeflows = db.GetCollection<ppeflow>("ppeflow");//指定数据库
            FilterDefinitionBuilder<ppeflow> builderFilter = Builders<ppeflow>.Filter; //创建过滤
            var filter1 = builderFilter.Eq(tt => tt.techname, "开料");
            var filter2 = builderFilter.Eq(tt => tt.techname, "钻孔");
            var filter = builderFilter.Or(filter1, filter2);
            var resultList = ppeflows.Find(filter).ToList();//获取集合
            //ppeflows.AsQueryable().Where(tt => tt.techname == "开料" || tt.techname == "钻孔").ToList();   //lamda一种简写

C#  and

            IMongoCollection<ppeflow> ppeflows = db.GetCollection<ppeflow>("ppeflow");//指定数据库
            FilterDefinitionBuilder<ppeflow> builderFilter = Builders<ppeflow>.Filter; //创建过滤
            var filter1 = builderFilter.Eq(tt => tt.orderid, );
            var filter2 = builderFilter.Eq(tt => tt.techname, "钻孔");
            var filter = builderFilter.And(filter1, filter2);
            var resultList = ppeflows.Find(filter).ToList();//获取集合
            //ppeflows.AsQueryable().Where(tt => tt.orderid == 2 && tt.techname == "钻孔").ToList();  //lamda一种简写