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骑着蜗牛超F1:
在ie6下报了个stack overflow at line ...
兼容ie6和ie7 的16进制码流在html中显示为图片代码(base64) -
冰之海洋:
好像少了一句代码吧? FloatingFunc.show(th ...
android 一直在最前面的浮动窗口效果 -
yanzhoupuzhang:
连接有问题!
iis7.0官方下载 IIS 7.0(微软Web服务器组件IIS 7.0) 官方(windows 2003,XP,2000) -
whatable:
唉,楼主你都没有搞清楚重量级和轻量级。。。。既然引用了SWT, ...
java swing 内置浏览器打开网页显示flash图表-swt Browser应用 -
yy_owen:
我晕啊,你链接的什么内容额,我要的iis,你链接个视频什么意思 ...
iis7.0官方下载 IIS 7.0(微软Web服务器组件IIS 7.0) 官方(windows 2003,XP,2000)
select
描述:查询顾客的公司名、地址信息
查询句法:
var 构建匿名类型1 = from c in ctx.Customers select new { 公司名 = c.CompanyName, 地址 = c.Address }; |
对应SQL:
SELECT [t0].[CompanyName], [t0].[Address] FROM [dbo].[Customers] AS [t0] |
描述:查询职员的姓名和雇用年份
查询句法:
var 构建匿名类型2 = from emp in ctx.Employees select new { 姓名 = emp.LastName + emp.FirstName, 雇用年 = emp.HireDate.Value.Year }; |
对应SQL:
SELECT [t0].[LastName] + [t0].[FirstName] AS [value], DATEPART(Year, [t0].[HireDate]) AS [value2] FROM [dbo].[Employees] AS [t0] |
描述:查询顾客的ID以及联系信息(职位和联系人)
查询句法:
var 构建匿名类型3 = from c in ctx.Customers select new { ID = c.CustomerID, 联系信息 = new { 职位 = c.ContactTitle, 联系人 = c.ContactName } }; |
对应SQL:
SELECT [t0].[CustomerID], [t0].[ContactTitle], [t0].[ContactName] FROM [dbo].[Customers] AS [t0] |
描述:查询订单号和订单是否超重的信息
查询句法:
var select带条件 = from o in ctx.Orders select new { 订单号 = o.OrderID, 是否超重 = o.Freight > 100 ? "是" : "否" }; |
对应SQL:
SELECT [t0].[OrderID], (CASE WHEN [t0].[Freight] > @p0 THEN @p1 ELSE @p2 END) AS [value] FROM [dbo].[Orders] AS [t0] -- @p0: Input Currency (Size = 0; Prec = 19; Scale = 4) [100] -- @p1: Input String (Size = 1; Prec = 0; Scale = 0) [是] -- @p2: Input String (Size = 1; Prec = 0; Scale = 0) [否] |
where
描述:查询顾客的国家、城市和订单数信息,要求国家是法国并且订单数大于5
查询句法:
var 多条件 = from c in ctx.Customers where c.Country == "France" && c.Orders.Count > 5 select new { 国家 = c.Country, 城市 = c.City, 网站 = "http://www.my400800.cn ", 订单数 = c.Orders.Count }; |
对应SQL:
SELECT [t0].[Country], [t0].[City], ( SELECT COUNT(*) FROM [dbo].[Orders] AS [t2] WHERE [t2].[CustomerID] = [t0].[CustomerID] ) AS [value] FROM [dbo].[Customers] AS [t0] WHERE ([t0].[Country] = @p0) AND ((( SELECT COUNT(*) FROM [dbo].[Orders] AS [t1] WHERE [t1].[CustomerID] = [t0].[CustomerID] )) > @p1) -- @p0: Input String (Size = 6; Prec = 0; Scale = 0) [France] -- @p1: Input Int32 (Size = 0; Prec = 0; Scale = 0) [5] |
orderby
描述:查询所有没有下属雇员的雇用年和名,按照雇用年倒序,按照名正序
查询句法:
var 排序 = from emp in ctx.Employees where emp.Employees.Count == 0 orderby emp.HireDate.Value.Year descending, emp.FirstName ascending select new { 雇用年 = emp.HireDate.Value.Year, 名 = emp.FirstName }; |
对应SQL:
SELECT DATEPART(Year, [t0].[HireDate]) AS [value], [t0].[FirstName] FROM [dbo].[Employees] AS [t0] WHERE (( SELECT COUNT(*) FROM [dbo].[Employees] AS [t1] WHERE [t1].[ReportsTo] = [t0].[EmployeeID] )) = @p0 ORDER BY DATEPART(Year, [t0].[HireDate]) DESC, [t0].[FirstName] -- @p0: Input Int32 (Size = 0; Prec = 0; Scale = 0) [0] |
分页
描述:按照每页10条记录,查询第二页的顾客
查询句法:
var 分页 = (from c in ctx.Customers select c).Skip(10).Take(10); |
对应SQL:
SELECT TOP 10 [t1].[CustomerID], [t1].[CompanyName], [t1].[ContactName], [t1].[ContactTitle], [t1].[Address], [t1].[City], [t1].[Region], [t1].[PostalCode], [t1].[Country], [t1].[Phone], [t1].[Fax] FROM ( SELECT ROW_NUMBER() OVER (ORDER BY [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax]) AS [ROW_NUMBER], [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax] FROM [dbo].[Customers] AS [t0] ) AS [t1] WHERE [t1].[ROW_NUMBER] > @p0 -- @p0: Input Int32 (Size = 0; Prec = 0; Scale = 0) [10] |
分组
描述:根据顾客的国家分组,查询顾客数大于5的国家名和顾客数
查询句法:
var 一般分组 = from c in ctx.Customers group c by c.Country into g where g.Count() > 5 orderby g.Count() descending select new { 国家 = g.Key, 顾客数 = g.Count() }; |
对应SQL:
SELECT [t1].[Country], [t1].[value3] AS [顾客数] FROM ( SELECT COUNT(*) AS [value], COUNT(*) AS [value2], COUNT(*) AS [value3], [t0].[Country] FROM [dbo].[Customers] AS [t0] GROUP BY [t0].[Country] ) AS [t1] WHERE [t1].[value] > @p0 ORDER BY [t1].[value2] DESC -- @p0: Input Int32 (Size = 0; Prec = 0; Scale = 0) [5] |
描述:根据国家和城市分组,查询顾客覆盖的国家和城市
查询句法:
var 匿名类型分组 = from c in ctx.Customers group c by new { c.City, c.Country } into g orderby g.Key.Country, g.Key.City select new { 国家 = g.Key.Country, 城市 = g.Key.City }; |
对应SQL:
SELECT [t1].[Country], [t1].[City] FROM ( SELECT [t0].[City], [t0].[Country] FROM [dbo].[Customers] AS [t0] GROUP BY [t0].[City], [t0].[Country] ) AS [t1] ORDER BY [t1].[Country], [t1].[City] |
描述:按照是否超重条件分组,分别查询订单数量
查询句法:
var 按照条件分组 = from o in ctx.Orders group o by new { 条件 = o.Freight > 100 } into g select new { 数量 = g.Count(), 是否超重 = g.Key.条件 ? "是" : "否" }; |
对应SQL:
SELECT (CASE WHEN [t2].[value2] = 1 THEN @p1 ELSE @p2 END) AS [value], [t2].[value] AS [数量] FROM ( SELECT COUNT(*) AS [value], [t1].[value] AS [value2] FROM ( SELECT (CASE WHEN [t0].[Freight] > @p0 THEN 1 WHEN NOT ([t0].[Freight] > @p0) THEN 0 ELSE NULL END) AS [value] FROM [dbo].[Orders] AS [t0] ) AS [t1] GROUP BY [t1].[value] ) AS [t2] -- @p0: Input Currency (Size = 0; Prec = 19; Scale = 4) [100] -- @p1: Input String (Size = 1; Prec = 0; Scale = 0) [是] -- @p2: Input String (Size = 1; Prec = 0; Scale = 0) [否] |
distinct
描述:查询顾客覆盖的国家
查询句法:
var 过滤相同项 = (from c in ctx.Customers orderby c.Country select c.Country).Distinct(); |
对应SQL:
SELECT DISTINCT [t0].[Country] FROM [dbo].[Customers] AS [t0] |
union
描述:查询城市是A打头和城市包含A的顾客并按照顾客名字排序
查询句法:
var 连接并且过滤相同项 = (from c in ctx.Customers where c.City.Contains("A") select c).Union (from c in ctx.Customers where c.ContactName.StartsWith("A") select c).OrderBy(c => c.ContactName); |
对应SQL:
SELECT [t3].[CustomerID], [t3].[CompanyName], [t3].[ContactName], [t3].[ContactTitle], [t3].[Address], [t3].[City], [t3].[Region], [t3].[PostalCode], [t3].[Country], [t3].[Phone], [t3].[Fax] FROM ( SELECT [t2].[CustomerID], [t2].[CompanyName], [t2].[ContactName], [t2].[ContactTitle], [t2].[Address], [t2].[City], [t2].[Region], [t2].[PostalCode], [t2].[Country], [t2].[Phone], [t2].[Fax] FROM ( SELECT [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax] FROM [dbo].[Customers] AS [t0] WHERE [t0].[City] LIKE @p0 UNION SELECT [t1].[CustomerID], [t1].[CompanyName], [t1].[ContactName], [t1].[ContactTitle], [t1].[Address], [t1].[City], [t1].[Region], [t1].[PostalCode], [t1].[Country], [t1].[Phone], [t1].[Fax] FROM [dbo].[Customers] AS [t1] WHERE [t1].[ContactName] LIKE @p1 ) AS [t2] ) AS [t3] ORDER BY [t3].[ContactName] -- @p0: Input String (Size = 3; Prec = 0; Scale = 0) [%A%] -- @p1: Input String (Size = 2; Prec = 0; Scale = 0) [A%] |
concat
描述:查询城市是A打头和城市包含A的顾客并按照顾客名字排序,相同的顾客信息不会过滤
查询句法:
var 连接并且不过滤相同项 = (from c in ctx.Customers where c.City.Contains("A") select c).Concat (from c in ctx.Customers where c.ContactName.StartsWith("A") select c).OrderBy(c => c.ContactName); |
对应SQL:
SELECT [t3].[CustomerID], [t3].[CompanyName], [t3].[ContactName], [t3].[ContactTitle], [t3].[Address], [t3].[City], [t3].[Region], [t3].[PostalCode], [t3].[Country], [t3].[Phone], [t3].[Fax] FROM ( SELECT [t2].[CustomerID], [t2].[CompanyName], [t2].[ContactName], [t2].[ContactTitle], [t2].[Address], [t2].[City], [t2].[Region], [t2].[PostalCode], [t2].[Country], [t2].[Phone], [t2].[Fax] FROM ( SELECT [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax] FROM [dbo].[Customers] AS [t0] WHERE [t0].[City] LIKE @p0 UNION ALL SELECT [t1].[CustomerID], [t1].[CompanyName], [t1].[ContactName], [t1].[ContactTitle], [t1].[Address], [t1].[City], [t1].[Region], [t1].[PostalCode], [t1].[Country], [t1].[Phone], [t1].[Fax] FROM [dbo].[Customers] AS [t1] WHERE [t1].[ContactName] LIKE @p1 ) AS [t2] ) AS [t3] ORDER BY [t3].[ContactName] -- @p0: Input String (Size = 3; Prec = 0; Scale = 0) [%A%] -- @p1: Input String (Size = 2; Prec = 0; Scale = 0) [A%] |
取相交项
描述:查询城市是A打头的顾客和城市包含A的顾客的交集,并按照顾客名字排序
查询句法:
var 取相交项 = (from c in ctx.Customers where c.City.Contains("A") select c).Intersect (from c in ctx.Customers where c.ContactName.StartsWith("A") select c).OrderBy(c => c.ContactName); |
对应SQL:
SELECT [t1].[CustomerID], [t1].[CompanyName], [t1].[ContactName], [t1].[ContactTitle], [t1].[Address], [t1].[City], [t1].[Region], [t1].[PostalCode], [t1].[Country], [t1].[Phone], [t1].[Fax] FROM ( SELECT DISTINCT [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax] FROM [dbo].[Customers] AS [t0] ) AS [t1] WHERE (EXISTS( SELECT NULL AS [EMPTY] FROM [dbo].[Customers] AS [t2] WHERE ([t1].[CustomerID] = [t2].[CustomerID]) AND ([t2].[ContactName] LIKE @p0) )) AND ([t1].[City] LIKE @p1) ORDER BY [t1].[ContactName] -- @p0: Input String (Size = 2; Prec = 0; Scale = 0) [A%] -- @p1: Input String (Size = 3; Prec = 0; Scale = 0) [%A%] |
排除相交项
描述:查询城市包含A的顾客并从中删除城市以A开头的顾客,并按照顾客名字排序
查询句法:
var 排除相交项 = (from c in ctx.Customers where c.City.Contains("A") select c).Except (from c in ctx.Customers where c.ContactName.StartsWith("A") select c).OrderBy(c => c.ContactName); |
对应SQL:
SELECT [t1].[CustomerID], [t1].[CompanyName], [t1].[ContactName], [t1].[ContactTitle], [t1].[Address], [t1].[City], [t1].[Region], [t1].[PostalCode], [t1].[Country], [t1].[Phone], [t1].[Fax] FROM ( SELECT DISTINCT [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax] FROM [dbo].[Customers] AS [t0] ) AS [t1] WHERE (NOT (EXISTS( SELECT NULL AS [EMPTY] FROM [dbo].[Customers] AS [t2] WHERE ([t1].[CustomerID] = [t2].[CustomerID]) AND ([t2].[ContactName] LIKE @p0) ))) AND ([t1].[City] LIKE @p1) ORDER BY [t1].[ContactName] -- @p0: Input String (Size = 2; Prec = 0; Scale = 0) [A%] -- @p1: Input String (Size = 3; Prec = 0; Scale = 0) [%A%] |
子查询
描述:查询订单数超过5的顾客信息
查询句法:
var 子查询 = from c in ctx.Customers where (from o in ctx.Orders group o by o.CustomerID into o where o.Count() > 5 select o.Key).Contains(c.CustomerID) select c; |
对应SQL:
SELECT [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax] FROM [dbo].[Customers] AS [t0] WHERE EXISTS( SELECT NULL AS [EMPTY] FROM ( SELECT COUNT(*) AS [value], [t1].[CustomerID] FROM [dbo].[Orders] AS [t1] GROUP BY [t1].[CustomerID] ) AS [t2] WHERE ([t2].[CustomerID] = [t0].[CustomerID]) AND ([t2].[value] > @p0) ) -- @p0: Input Int32 (Size = 0; Prec = 0; Scale = 0) [5] |
in操作
描述:查询指定城市中的客户
查询句法:
var in操作 = from c in ctx.Customers where new string[] { "Brandenburg", "Cowes", "Stavern" }.Contains(c.City) select c; |
对应SQL:
SELECT [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax] FROM [dbo].[Customers] AS [t0] WHERE [t0].[City] IN (@p0, @p1, @p2) -- @p0: Input String (Size = 11; Prec = 0; Scale = 0) [Brandenburg] -- @p1: Input String (Size = 5; Prec = 0; Scale = 0) [Cowes] -- @p2: Input String (Size = 7; Prec = 0; Scale = 0) [Stavern] |
join
描述:内连接,没有分类的产品查询不到
查询句法:
var innerjoin = from p in ctx.Products join c in ctx.Categories on p.CategoryID equals c.CategoryID select p.ProductName; |
对应SQL:
SELECT COUNT(*) AS [value] FROM [dbo].[Products] AS [t0] INNER JOIN [dbo].[Categories] AS [t1] ON [t0].[CategoryID] = ([t1].[CategoryID]) |
描述:外连接,没有分类的产品也能查询到
查询句法:
var leftjoin = from p in ctx.Products join c in ctx.Categories on p.CategoryID equals c.CategoryID into pro from x in pro.DefaultIfEmpty() select p.ProductName; |
对应SQL:
SELECT COUNT(*) AS [value] FROM [dbo].[Products] AS [t0] LEFT OUTER JOIN [dbo].[Categories] AS [t1] ON [t0].[CategoryID] = ([t1].[CategoryID]) |
你可能会很奇怪,原先很复杂的SQL使用查询句法会很简单(比如按照条件分组)。但是原先觉得很好理解的SQL使用查询句法会觉得很复杂(比如连接查 询)。其实,我们还可以通过其它方式进行连接操作,在以后说DataLoadOptions类型的时候会再说。虽然Linq to sql已经非常智能了,但是对于非常复杂的查询还是建议通过存储过程实现,下次讲解如何调用存储过程。
发表评论
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LINQ体验(7)――LINQ to SQL语句之Group By/Having和Exists/In/Any/All/Contains
2010-09-23 11:36 1315我们继续讲解LINQ to SQL语句,这篇我们来讨论Gro ... -
C#3.0入门系列(LingQ)(七)-GroupBy操作
2010-09-23 10:53 1324换一种写作风格。本节讲 groupby 操作。 ... -
C#3.0入门系列(LinQ)(七)-之OR工具介绍
2010-08-30 15:08 1129不得不再次给关注 dlinq的朋友道歉了。好久都没有更新 ... -
C#3.0入门系列(LinQ)(六)-之OrderBy操作
2010-08-12 10:51 2168本节讲orderby 操作. ... -
C#3.0入门系列(LingQ)(五)-之Where操作
2010-08-12 10:48 1409从本节开始,本文正式更名为C#3.0 入门系列。先发布 ... -
C# 3.0入门系列(LinQ)(四)-之Select操作
2010-08-12 10:44 3396先给关注dlinq 的朋友们道歉,最近工作实在忙,没有 ... -
C# 3.0入门系列(LinQ)(三)
2010-08-12 10:37 1294从本节开始,笔者将会和大家一起开始体验dlinq 了。 ... -
C# 3.0 入门系列(linq)(二)
2010-08-12 10:32 1134在第一篇中,我已经和大家简单介绍了linq 。也和大家 ... -
C# 3.0 入门系列(linq)(一)
2010-08-12 10:24 1304谈到dlinq ,就不得不先说linq 。让我们先看 ...
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**Ling经典.rar**压缩包包含了两个重要的文档:《Linq to sql 文档.doc》和《Linq To XML.doc》,这两个文档深入浅出地讲解了LINQ(Language Integrated Query,语言集成查询)这一强大的.NET Framework功能,特别是...
在"SQL数据库"的上下文中,这一层可能包含了使用SQL语句来执行CRUD(Create, Read, Update, Delete)操作的对象或类。".bak"文件是SQL Server数据库的备份文件,可能包含了系统运行所需的所有人员信息。 LING,根据...
数据库权限的授予使用`GRANT`语句,例如向zhang1在tele114数据库上授予创建表、视图和存储过程的权限,并对students表的select和reference权限,以及name和native字段的update权限,命令如下: ```sql use tele114 ...
4. **安全考虑**:防止SQL注入攻击,使用参数化查询或ORM工具来构建SQL语句。 综上所述,这个压缩包包含的源文件提供了一个完整的示例,展示了如何利用LINQ to SQL进行数据库操作,这对于理解和实践LINQ技术以及...
4. **T-SQL语言**:深入学习SQL语言,包括SELECT语句用于数据查询,JOIN操作连接多表,以及GROUP BY和HAVING子句进行数据分组和过滤。 5. **视图和存储过程**:了解视图的用途,创建和使用存储过程,以及如何通过...
它使得开发人员能够以面向对象的方式来处理数据库数据,而无需直接编写SQL语句。这有助于提高代码的可读性和可维护性,并且可以减少出错的可能性。 #### 三、LINQ_to_EF的工作原理 LINQ_to_EF将开发者的查询请求...
查询表达式类似SQL语句,直观易懂;方法链则基于“Where”、“Select”、“OrderBy”等扩展方法,适合熟悉函数式编程的开发者。 3. **数据源**:LINQ可以操作多种类型的数据源,如数组、列表、数据库(通过ADO.NET...
sql、ling、实例大全. 特别全的ling语句大全,适合初学者,也适合高级人员查询用。
通过查询performance_schema库中的表,可以获取到SQL语句的执行统计,包括执行次数、耗时等。 3. **EXPLAIN分析**: 使用EXPLAIN关键字在执行SQL之前先预览其执行计划,可以了解MySQL如何处理查询,包括表的访问...
“Ling”可能是指LINQ(Language Integrated Query,语言集成查询),这是C# 3.0引入的一项创新特性,允许开发者在C#代码中直接编写查询语句,简化了数据操作,提高了代码的可读性。在仓库管理系统中,LINQ可以方便...
sql语句-linq语言-lambda表达式对照。 超级全面的Ling语法、SQL语法、lambda表达式对照(相同功能的不同于法)、 可以帮助对SQL、linq、lambda表达式存在疑惑不明白的在这里面可以充分提现出来语法间的对比和学习。让...
此外,JDBC执行SQL语句时,应考虑使用PreparedStatement来防止SQL注入攻击,提高代码的可读性和安全性。对于大量数据的操作,可以考虑使用批处理来提高性能。 总结起来,"JDBC&AWTDemo"项目展示了如何使用Java的AWT...