Simple .NET/ASP.NET PDF document editor web control SDK

description=".NET Framework Data Provider for Microsoft SQL Server ..." type="Microsoft.SqlServerCe.Client.SqlCeClientFactory, Microsoft...." /> </DbProviderFactories> </system.data> <system.web> If you want to use a new or third-party provider with the Provider Factory, you must register it in configuration using the DbProviderFactory element. You can make this entry in the machine.config, or if you only plan to use the provider from a specific application, you can enter into the web.config. The other method on DbProviderFactories returns an instance of DbProviderFactory. This type exposes eight factory methods for creating instance of connections, commands, parameters, and whatever other objects you need for interacting with your database. Here, you create an instance of the SQL Server Managed Provider factory and use it to execute a parameterize query against the database using the generic types served by the DbProviderFactory. (You can find this code in UseFactory.aspx of Web10.) protected void Page_Load(object sender, EventArgs e) { DbProviderFactory factory = DbProviderFactories.GetFactory("System.Data.SqlClient"); DbConnection cn = factory.CreateConnection(); cn.ConnectionString = ConfigurationManager.ConnectionStrings ["localPubs"].ToString(); DbCommand cm = factory.CreateCommand(); cm.Connection = cn; cm.CommandText = "select * from authors where [state] = @state"; DbParameter pm = factory.CreateParameter(); pm.ParameterName = "@state"; pm.Value = "CA"; cm.Parameters.Add(pm); GridView gv = new GridView(); cn.Open(); gv.DataSource = cm.ExecuteReader(CommandBehavior.CloseConnection); gv.DataBind(); form1.Controls.Add(gv); } The code listed previously generates the Web Form displayed in Figure 10-5. Notice the types you re using aren t SQL Server-specific. You re not using a SqlConnection object; you re using a DbConnection object. There is a whole set of these new types in the System.Data.Common namespace. They re created by the factory to represent a specific provider, but expose a generic type and programming model to the developer using the types (see Table 10-7).

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Special nodes are used for true and false at the leaves: we ll write these as T and F Every BDD is constructed with respect to a global variable ordering, so x AND NOT y can be represented as (x => (y => F | T) | F) if x comes before y in this ordering and as (y => F | (x => T | F)) if y comes before x The variable ordering can be critical for performance of the representation BDDs are efficient because they use some of the language representation techniques you saw in 9 In particular, they work by uniquely memoizing all BDD nodes that are identical, which works by representing a BDD as an integer index into a lookup table that stores the real information about the node.

By now, you are perhaps convinced at least that the code complexity of tables containing object types or collections as columns is, in general, higher than that of the equivalent relational tables. Next, we ll examine in more detail how Oracle internally stores a nested table in a table. This should give you some additional reasons to avoid using nested tables as a storage mechanism.

Figure 10-5. An HTML table generated using the generic data Provider Factory to talk to SQL Server Table 10-7. Generic Database Types, the Factory Method on DbProviderFactory That Creates Them, and Their Role in Life System.Data.Common Type

Furthermore, negative indexes are used to represent the negation of a particular BDD node without creating a separate entry for the negated node Listing 12-15 shows our implementation of BDDs Fully polished BDD packages are often implemented in C It is easy to access those packages from F# using the techniques described in 19 Here we are content with a clear and simple implementation entirely in F# code Listing 12-15 Implementing Binary Decision Diagrams open SystemCollectionsGeneric let memoize f = let tab = new Dictionary<_,_>() fun x -> if tabContainsKey(x) then tab[x] else let res = f x in tab.

A peek into the internal mechanism that Oracle uses to store nested tables reveals some additional issues with using nested tables to store data. To discover the internal magic that Oracle does behind the scenes to store tables with nested table columns, we run the following query that selects the column names and their maximum lengths for the table components_nt. Note that for this query to work, we need the select privilege on table col$, which is owned by the SYS user. benchmark@ORA10G> select name, length 2 from sys.col$ c, user_objects uo 3 where uo.object_id = c.obj# 4 and uo.object_name = 'COMPONENTS_NT'; NAME LENGTH -------------------- --------COMPONENT_ID 22 COMPONENT_NAME 50 PARTS 16 SYS_NC0000300004$ 16 Note that Oracle stores a hidden column called SYS_NC0000300004$ (these columns are system-generated, and the names may be different in your database runs). This column contains a key generated internally by Oracle, as shown by the following select on the two rows we inserted earlier: benchmark@ORA10G> select component_id, SYS_NC0000300004$ 2 from components_nt; COMPONENT_ID -----------1 2 SYS_NC0000300004$ -------------------------------450F0E036B3D4AD39F1026235CDBA8C6 FE2F3FD8316A4EAA949A1D90A1286CFB

The purpose of storing the hidden column SYS_NC0000300004$ will be clear in a moment. First, let s look at how Oracle stores internally the nested table parts_nt: benchmark@ORA10G> select name, length 2 from sys.col$ c, user_objects uo 3 where uo.object_id = c.obj# 4 and uo.object_name = 'PARTS_NT';