码迷,mamicode.com
首页 > 其他好文 > 详细

微软数据开发技术

时间:2016-08-08 19:05:19      阅读:479      评论:0      收藏:0      [点我收藏+]

标签:

微软数据开发技术的前世今生

Microsoft Data Development Technologies: Past, Present, and Future

在过去的20多年时间里,微软开发了许多的数据访问方案,这里回顾下这些技术的发展历程。

在1990s,微软主要提供两个数据库产品:Access和SQL Server。Access作为一个桌面数据库,提供了数据的一个表格形式的开发界面,用户完全不用担心和数据库的交互机制,Acceess把这些都做好了,这为许多简单的应用提供了便利。但是,我们也有许多的应用是需要考虑数据访问的,比如许多的企业应用需要考虑数据访问的多并发、高性能,而这时SQL Server一开始就致力于要解决的问题。这里介绍的就是实现数据访问的形形色色的技术。

Win32(Native)平台上的访问技术

在1989年,微软发布SQL Server 1.0的时候,提供了一个简练的API库DB-Library。通过其中的150个函数,应用程序可以实现数据的CRUD功能。同时,还提供了一个预编译器Embedded SQL for C(ESQL for C),支持在代码中嵌入SQL语句,这为后来的Linq提供了铺垫。在这一时期,各个数据库都提供了自己的API库,形成百家争鸣,割据独立的局面。

技术分享

Figure 1: Data access technologies circa 1990; Microsoft’s offerings were only those for SQL Server.

在1992年9月,微软发布了ODBC(Open Database Connectivity specification)。这个协议定义了50个API,提供了一个统一的调用接口,

技术分享

Figure 2: Data access technologies in September 1992.

几年以后,随着对象技术和编程语言(COM,C++,Visual Basic)成为主流,新的面向对象的访问技术出现了。最开始是VB3(1992年11月)中引入了Data Access Objects(DAO)。在1995年8月发布的VB4中,被Remote Data Objects(RDO)取代,在ODBC的基础上提供一个VB兼容的对象层。一年后,1996年8月,微软发布了更为普适的的面向对象数据访问技术OLE DB。类似ODBC,OLE DB也是在各个数据存储提供的Providor上进行封装,这个技术也得到了广泛的支持(有更多的数据格式(比如spreadsheet和text)提供支持),但是它没有比ODBC提供更多的抽象,只是提供了一个面向对象的编程模型。

技术分享

Figure 3: Data access technologies in August 1996.

这个时期,随着网络技术的发展,基于网页的应用越来越重要,但是OLE DB主要面向的是支持指针的编程语言,比如C和C++,也就是说脚本语言,比如VBScript和JavaScript并不能使用OLE DB技术。为了满足这些需求,诞生了ActiveX Data Object(ADO)技术,它在OLE DB的基础上进行了抽象,支持指针和非指针类语言。ADO是在1996年10月发布的,显然在开发OLE的时候ADO已经开始了开发。

技术分享

Figure 4: Data Access in October 1996.

到这个阶段,先后已经出现了6中数据访问技术,这些技术的应用场景如下。

1996 Choices

SQL Server DBs

DBs w/ ODBC driver

DBs w/ OLE DB driver

Apps written in C/C++

DB-Library, ESQL/C

ODBC, OLE DB, ADO

ODBC

OLD DB, ADO

Apps written in VB

RDO

RDO

ADO

Web applications

ADO

 

ADO

从那时候开始,有些技术继续发展,有些技术慢慢消亡,比如DB Library到SQL Server 2000以后便不再支持,到SQL Server 2005的时候出现了更好的API,SQL Server Native Client。同样的,到SQL Server 2008,Linq顶替了ESQL for C。

ODBC,OLE DB和ADO仍然是当前win32平台上主要的数据访问技术,现在一般称作Microsoft Data Access Components (MDAC) or the Windows Data Access Components (WDAC)

技术分享

Figure 5: Data Access Technologies for Unmanaged Code, current to September 2010.

Current Choice Matrix

(unmanaged code)

SQL Server DBs

DBs w/ ODBC driver

DBs w/ OLE DB driver

Apps written in C/C++

ODBC, OLE DB, ADO,

SQL Native Client

ODBC

OLD DB, ADO

Web applications

ADO, PHP Driver,

JDBC Driver

Accessible through the Microsoft OLE DB Provider for ODBC (MSDASQL)

ADO

数据访问的现状:直接访问数据(.NET平台(托管平台))

为了满足.NET平台上访问数据的需求,微软开发了ADO.NET,这是ADO的姊妹篇,实现了类似的概念模型,其中比较核心的几个类是:SqlConnection,SqlCommand,DataReader,DataSet,DataTable。在各种ADO.NET Data Provider的基础上,ADO.NET实现了统一的抽象,如下图。其中SQL Server提供了专门的provider,同时,ADO.NET可以很好支持XML。

技术分享

Figure 6: The introduction of ADO.NET in 2002/2003.

到目前为止,这些数据访问技术各有不同,但是都遵循一个相同的编程模型:

1.Open a database connection

2.Execute a query in the database

3.Get back a set of results

4.Process those results

5.Release the results

6.Close the connection

在ADO.NET平台上,目前最主要的两个方向是LINQ(.NET 3.5)和ADO.NET Entity Framework(.NET 3.5 SP1)。Linq实现了对各种数据的一致的查询接口,只要类支持IEnumerable或者IQueryable接口,便可以使用Linq。

技术分享

Figure 7: The introduction of LINQ in November 2007 including LINQ to Objects,LINQ to XML, LINQ to DataSet, and LINQ to SQL.

不管是Linq还是以前的ODBC,OLE DB,ADO,ADO.NET,他们提供的数据抽象还是关系型的,展现给上层应用的还是表结构的形式。对于简单的应用,也许我们的概念模型和数据模型是一个样子,然而,随着应用越来越复杂,领域概念模型和存储数据模型会越来越不一样,比如我们可能会把Order分成Order和OrderDetail表,但是对象模型仍然使用Order。这是设计中出现的object-relational impedance mismatch,对象-关系阻抗失配。为了解决这个问题,需要进行映射,Entity Framework便是这样一个映射的工具(ORM)。

技术分享

Figure 8: The Entity Framework, first released in August 2008, automates the hard work of conceptual mapping. An Entity Data Model is used at compile time to generate classes for a mapping layer.

数据开发的现状:云上数据

前面讨论的都是对数据的直接访问,但也有些场景,比如Web应用,并不能直接访问数据,这时候需要REST-based数据服务,也就是WCF Data Services (formerly ADO.NET Data Services and code name “Astoria”)。数据服务使用URI定位数据,使用JSON和XML表示数据。

技术分享

Figure 9: WCF Data Services facilitates creating and consuming REST-based data services.

Entity Framework

技术分享

Entity Framework architecture for accessing data.

技术分享

Linq to dataset

可以简化对DataSet的查询操作。为了使DataSet可以支持LINQ,System.Data.DataSetExtensions模块提供了DataRowExtensions和DataTableExtensions的扩展方法。

技术分享

Linq需要对象实现IEnumerable<T>或者T:System.Query.IQueryable`1接口。DataTable没有实现这些接口,所以要调用扩展方法AsEnumerable才能使用LINQ查询。

准备数据

使用SqlDataAdapter填充DataSet

try
            {
                // Create a new adapter and give it a query to fetch sales order, contact, 
                // address, and product information for sales in the year 2002. Point connection 
                // information to the configuration setting "AdventureWorks".
                string connectionString = "Data Source=localhost;Initial Catalog=AdventureWorks;"
                    + "Integrated Security=true;";
                SqlDataAdapter da = new SqlDataAdapter(
                        "SELECT SalesOrderID, ContactID, OrderDate, OnlineOrderFlag, " +
                        "TotalDue, SalesOrderNumber, Status, ShipToAddressID, BillToAddressID " +
                        "FROM Sales.SalesOrderHeader " +
                        "WHERE DATEPART(YEAR, OrderDate) = @year; " +
                "SELECT d.SalesOrderID, d.SalesOrderDetailID, d.OrderQty, " +
                        "d.ProductID, d.UnitPrice " +
                        "FROM Sales.SalesOrderDetail d " +
                        "INNER JOIN Sales.SalesOrderHeader h " +
                        "ON d.SalesOrderID = h.SalesOrderID  " +
                        "WHERE DATEPART(YEAR, OrderDate) = @year; " +
                "SELECT p.ProductID, p.Name, p.ProductNumber, p.MakeFlag, " +
                        "p.Color, p.ListPrice, p.Size, p.Class, p.Style, p.Weight  " +
                        "FROM Production.Product p; " +
                "SELECT DISTINCT a.AddressID, a.AddressLine1, a.AddressLine2, " +
                        "a.City, a.StateProvinceID, a.PostalCode " +
                        "FROM Person.Address a " +
                        "INNER JOIN Sales.SalesOrderHeader h " +
                        "ON  a.AddressID = h.ShipToAddressID OR a.AddressID = h.BillToAddressID " +
                        "WHERE DATEPART(YEAR, OrderDate) = @year; " +
                "SELECT DISTINCT c.ContactID, c.Title, c.FirstName, " +
                        "c.LastName, c.EmailAddress, c.Phone " +
                        "FROM Person.Contact c " +
                        "INNER JOIN Sales.SalesOrderHeader h " +
                        "ON c.ContactID = h.ContactID " +
                        "WHERE DATEPART(YEAR, OrderDate) = @year;",
                    connectionString);
                // Add table mappings.
                da.SelectCommand.Parameters.AddWithValue("@year", 2002);
                da.TableMappings.Add("Table", "SalesOrderHeader");
                da.TableMappings.Add("Table1", "SalesOrderDetail");
                da.TableMappings.Add("Table2", "Product");
                da.TableMappings.Add("Table3", "Address");
                da.TableMappings.Add("Table4", "Contact");
                // Fill the DataSet.
                da.Fill(ds);
                // Add data relations.
                DataTable orderHeader = ds.Tables["SalesOrderHeader"];
                DataTable orderDetail = ds.Tables["SalesOrderDetail"];
                DataRelation order = new DataRelation("SalesOrderHeaderDetail",
                                         orderHeader.Columns["SalesOrderID"],
                                         orderDetail.Columns["SalesOrderID"], true);
                ds.Relations.Add(order);

                DataTable contact = ds.Tables["Contact"];
                DataTable orderHeader2 = ds.Tables["SalesOrderHeader"];
                DataRelation orderContact = new DataRelation("SalesOrderContact",
                                                contact.Columns["ContactID"],
                                                orderHeader2.Columns["ContactID"], true);
                ds.Relations.Add(orderContact);
            }
            catch (SqlException ex)
            {
                Console.WriteLine("SQL exception occurred: " + ex.Message);
            }

来自 <https://msdn.microsoft.com/en-us/library/bb399340(v=vs.110).aspx>

Cross-table queries

下面用到了扩展方法Field<T>(System.Data.DataSetExtensions.dll),实现了检查isnull和类型转换。

// Fill the DataSet.
DataSet ds = new DataSet();
ds.Locale = CultureInfo.InvariantCulture;
FillDataSet(ds);
DataTable orders = ds.Tables["SalesOrderHeader"];
DataTable details = ds.Tables["SalesOrderDetail"];
var query =
    from order in orders.AsEnumerable()
    join detail in details.AsEnumerable()
    on order.Field<int>("SalesOrderID") equals
        detail.Field<int>("SalesOrderID")
    where order.Field<bool>("OnlineOrderFlag") == true
    && order.Field<DateTime>("OrderDate").Month == 8
    select new
    {
        SalesOrderID =
            order.Field<int>("SalesOrderID"),
        SalesOrderDetailID =
            detail.Field<int>("SalesOrderDetailID"),
        OrderDate =
            order.Field<DateTime>("OrderDate"),
        ProductID =
            detail.Field<int>("ProductID")
    };
foreach (var order in query)
{
    Console.WriteLine("{0}\t{1}\t{2:d}\t{3}",
        order.SalesOrderID,
        order.SalesOrderDetailID,
        order.OrderDate,
        order.ProductID);
}

来自 <https://msdn.microsoft.com/en-us/library/bb386969(v=vs.110).aspx>

Linq to SQL

Linq to SQL是.NET 3.5添加的功能,将数据库映射为对象结构,查询时将Linq语句翻译成SQL查询,返回结果再映射回对象,方便访问。参考白皮书:LINQ to SQL: .NET Language-Integrated Query for Relational Data

技术分享

建立模型

可以通过IDE自动生成,步骤如下。也可以使用工具SqlMetal.exe(Code Generation Tool)

添加Linq to sql类

技术分享

配置需要映射的数据表

技术分享

下面是截取的部分自动生成的代码。

[global::System.Data.Linq.Mapping.DatabaseAttribute(Name = "Northwind")]
        public partial class LingToSqlDataContext : System.Data.Linq.DataContext
        {
            public System.Data.Linq.Table<Products> Products
            {
                get
                {
                    return this.GetTable<Products>();
                }
            }

            public System.Data.Linq.Table<Categories> Categories
            {
                get
                {
                    return this.GetTable<Categories>();
                }
            }
        }

        [global::System.Data.Linq.Mapping.TableAttribute(Name = "dbo.Categories")]
        public partial class Categories : INotifyPropertyChanging, INotifyPropertyChanged
        {

            private static PropertyChangingEventArgs emptyChangingEventArgs = new PropertyChangingEventArgs(String.Empty);

            private int _CategoryID;

            private string _CategoryName;

            private string _Description;

            private System.Data.Linq.Binary _Picture;

            private EntitySet<Products> _Products;

            [global::System.Data.Linq.Mapping.ColumnAttribute(Storage = "_CategoryID", AutoSync = AutoSync.OnInsert, DbType = "Int NOT NULL IDENTITY", IsPrimaryKey = true, IsDbGenerated = true)]
            public int CategoryID
            {
                get
                {
                    return this._CategoryID;
                }
                set
                {
                    if ((this._CategoryID != value))
                    {
                        this.OnCategoryIDChanging(value);
                        this.SendPropertyChanging();
                        this._CategoryID = value;
                        this.SendPropertyChanged("CategoryID");
                        this.OnCategoryIDChanged();
                    }
                }
            }
        }
其中DataContext负责建立到数据库的连接。直接写代码建立模型的一个例子如下:
public static void TestLinqToSqlSimple()
        {
            DataContext dc = new DataContext(ConfigurationManager.ConnectionStrings["Northwind"].ConnectionString);
            Table<Category> categoryTable = dc.GetTable<Category>();
            dc.Log = Console.Out;

            IQueryable<Category> query = from r in categoryTable where r.CategoryID > 1 select r;

            foreach (var item in query)
            {
                Console.WriteLine("{0}, {1}", item.CategoryID, item.CategoryName);
            }

            Category newCat = new Category();
            newCat.CategoryName = "test";
            categoryTable.InsertOnSubmit(newCat);

            dc.SubmitChanges();

            foreach (var item in query)
            {
                Console.WriteLine("{0}, {1}", item.CategoryID, item.CategoryName);
            }
        }

        [Table(Name = "Categories")]
        class Category
        {
            private int _CategoryID;

            private string _CategoryName;

            [Column(IsPrimaryKey = true, Storage = "_CategoryID", IsDbGenerated = true)]
            public int CategoryID
            {
                get
                {
                    return _CategoryID;
                }
                set
                {
                    _CategoryID = value;
                }
            }

            [Column(Storage = "_CategoryName")]
            public string CategoryName
            {
                get
                {
                    return _CategoryName;
                }
                set
                {
                    _CategoryName = value;
                }
            }
        }

增删查改操作

查找记录

// Northwnd inherits from System.Data.Linq.DataContext.
Northwnd nw = new Northwnd(@"northwnd.mdf");
// or, if you are not using SQL Server Express
// Northwnd nw = new Northwnd("Database=Northwind;Server=server_name;Integrated Security=SSPI");
var companyNameQuery =
    from cust in nw.Customers
    where cust.City == "London"
    select cust.CompanyName;
foreach (var customer in companyNameQuery)
{
    Console.WriteLine(customer);
}

添加记录

// Northwnd inherits from System.Data.Linq.DataContext.
Northwnd nw = new Northwnd(@"northwnd.mdf");
Customer cust = new Customer();
cust.CompanyName = "SomeCompany";
cust.City = "London";
cust.CustomerID = "98128";
cust.PostalCode = "55555";
cust.Phone = "555-555-5555";
nw.Customers.InsertOnSubmit(cust);
// At this point, the new Customer object is added in the object model.
// In LINQ to SQL, the change is not sent to the database until
// SubmitChanges is called.
nw.SubmitChanges();

修改记录

Northwnd nw = new Northwnd(@"northwnd.mdf");
var cityNameQuery =
    from cust in nw.Customers
    where cust.City.Contains("London")
    select cust;
foreach (var customer in cityNameQuery)
{
    if (customer.City == "London")
    {
        customer.City = "London - Metro";
    }
}
nw.SubmitChanges();

删除记录。

Northwnd nw = new Northwnd(@"northwnd.mdf");
var deleteIndivCust =
    from cust in nw.Customers
    where cust.CustomerID == "98128"
    select cust;
if (deleteIndivCust.Count() > 0)
{
    nw.Customers.DeleteOnSubmit(deleteIndivCust.First());
    nw.SubmitChanges();
}

 

Typed Dataset

使用强类型的DataSet可以方便调用,同时可以获得编译器的类型检查。可以通过XML文件配置,用xsd生成代码,或者通过VS IDE配置:

xsd.exe /d /l:CS XSDSchemaFileName.xsd /eld /n:XSDSchema.Namespace

来自 <https://msdn.microsoft.com/en-us/library/wha85tzb(v=vs.110).aspx>

添加数据集

技术分享

配置后

技术分享

自动生成的部分代码:

public partial class DataSet1 : global::System.Data.DataSet {
        
        private ProductsDataTable tableProducts;
        
        private CategoriesDataTable tableCategories;
        
        private global::System.Data.DataRelation relationFK_Products_Categories;
}
 
        public partial class CategoriesDataTable : global::System.Data.TypedTableBase<CategoriesRow> {
            
            private global::System.Data.DataColumn columnCategoryID;
            
            private global::System.Data.DataColumn columnCategoryName;
            
            private global::System.Data.DataColumn columnDescription;
            
            private global::System.Data.DataColumn columnPicture;
}
 
        public partial class CategoriesRow : global::System.Data.DataRow {
            
            private CategoriesDataTable tableCategories;
            
            internal CategoriesRow(global::System.Data.DataRowBuilder rb) : 
                    base(rb) {
                this.tableCategories = ((CategoriesDataTable)(this.Table));
            }
            
            public int CategoryID {
                get {
                    return ((int)(this[this.tableCategories.CategoryIDColumn]));
                }
                set {
                    this[this.tableCategories.CategoryIDColumn] = value;
                }
            }
}

Retrieving Database Schema Information

获得数据库的schema信息,也就是metadata。connection对象的GetSchema方法可以得到指定集合的信息,比如Tables、Views,不传参数调用可以得到支持的CollectionName列表。DataReader对象的GetSchemaTable可以获得字段的信息。

public static void TestSchema()
        {
            var settings = ConfigurationManager.ConnectionStrings["Northwind"];
            using (SqlConnection conn = new SqlConnection(settings.ConnectionString))
            {
                conn.Open();
                var res = conn.GetSchema();
                PrintTable(res);   res = conn.GetSchema("Tables");
                PrintTable(res);   SqlCommand command = new SqlCommand("select * from dbo.customers", conn);
                var read = command.ExecuteReader(CommandBehavior.SchemaOnly);   res = read.GetSchemaTable();
                PrintTable(res);
            }
        }

        private static void PrintTable(DataTable dt)
        {
            Console.WriteLine("*** {0} *****************************************", dt.TableName);
            foreach (DataColumn column in dt.Columns)
            {
                Console.Write(column.ColumnName + "\t");
            }
            Console.WriteLine();   foreach (DataRow dataRow in dt.Rows)
            {
                foreach (DataColumn dataColumn in dt.Columns)
                {
                    Console.Write(dataRow[dataColumn] + "\t");
                }
                Console.WriteLine();
            }
        }

运行结果:

技术分享

Retrieving Binary Data

使用DataReader一般一行一行读取,也就是说会把一整行数据全部加载到内存中,如果有大对象字段(BLOB,可能有几个G),我们可不希望全部加载到内存,这时候可以使用SequentialAccess模式。

// Assumes that connection is a valid SqlConnection object.
SqlCommand command = new SqlCommand(
  "SELECT pub_id, logo FROM pub_info", connection);
FileStream stream;                          
BinaryWriter writer;                        
int bufferSize = 100;                   
byte[] outByte = new byte[bufferSize];  
long retval;                            
long startIndex = 0;                    
string pubID = "";   
                  
connection.Open();
SqlDataReader reader = command.ExecuteReader(CommandBehavior.SequentialAccess);
while (reader.Read())
{
  pubID = reader.GetString(0);  
  stream = new FileStream(
    "logo" + pubID + ".bmp", FileMode.OpenOrCreate, FileAccess.Write);
  writer = new BinaryWriter(stream);

  startIndex = 0;
  retval = reader.GetBytes(1, startIndex, outByte, 0, bufferSize);

  while (retval == bufferSize)
  {
    writer.Write(outByte);
    writer.Flush();
    startIndex += bufferSize;
    retval = reader.GetBytes(1, startIndex, outByte, 0, bufferSize);
  }

  writer.Write(outByte, 0, (int)retval - 1);
  writer.Flush();

  writer.Close();
  stream.Close();
}

reader.Close();
connection.Close();
来自 <https://msdn.microsoft.com/en-us/library/87z0hy49(v=vs.110).aspx>

微软数据开发技术

标签:

原文地址:http://www.cnblogs.com/lingshf/p/5750305.html

(0)
(0)
   
举报
评论 一句话评论(0
登录后才能评论!
© 2014 mamicode.com 版权所有  联系我们:gaon5@hotmail.com
迷上了代码!