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Of course, the whole point of a Provider Factory is to select a Managed Provider at runtime instead of at design time. This can be especially helpful for software vendors who want to write applications that work against SQL Server or Oracle, for example; and their customers control this with the configuration when they install the application. You can change the last example to pull the name of the provider out of the connection information using the providerName attribute of the add element in the connectionStrings section of the configuration file. <appSettings> <add key="EnvironmentName" value="localPubs"/> </appSettings> <connectionStrings> <add name=" localPubs" connectionString="server=.;database=pubs;uid=sa;pwd=" providerName="System.Data.SqlClient"/> <add name=" OraclePubs" connectionString="Oracle Connetion String..." providerName="System.Data.OracleClient"/> </connectionStrings> By adding the provider name in your configuration file, you can change the code to have these configuration entries drive the provider, enabling users to dynamically select a provider when they deploy the application. You ll use the providerName setting to drive the invariant name of the provider you ll use (see ConfigFactory.aspx in Web10). protected void Page_Load(object sender, EventArgs e) { string EnvName = ConfigurationManager.AppSettings["EnvironemntName"].ToString(); ConnectionStringSettings css = ConfigurationManager.ConnectionStrings[EnvName]; DbProviderFactory factory = DbProviderFactories.GetFactory(css.ProviderName); DbConnection cn = factory.CreateConnection(); cn.ConnectionString = css.ConnectionString; 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);

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// Publish the construction functions that make BDDs from existing BDDs member gFalse = Bdd falseIdx member gAnd(Bdd m1,Bdd m2) = Bdd(mkAnd(m1,m2)) member gNot(Bdd m) = Bdd(-m) member gVar(nm) = Bdd(mkNode(nm,trueIdx,falseIdx)) member gNodeCount = nextIdx The types of these functions are as follows: val memoize : ('a -> 'b) -> ('a -> 'b) type BddIndex = int type Bdd = Bdd of BddIndex type BddNode = Node of Var * BddIndex * BddIndex type BddBuilder = class end with new : order:(Var -> Var -> int) -> BddBuilder member And : _arg1:Bdd * _arg2:Bdd -> Bdd member Not : _arg3:Bdd -> Bdd member Var : nm:Var -> Bdd member False : Bdd member NodeCount : int end Besides the functions that ensure that nodes are unique, the only substantial function in the implementation is mkAnd.

As you can see, Oracle created a unique index, sys_c006272, on the hidden column sys_nc0000300004$ (shown as being against the column parts in the result of the first query). However, as of Oracle 10.1.0.2.0, Oracle does not create the index on the corresponding child table column nested_table_id. As discussed earlier, it is imperative to create an index on this column in most cases. If you do use nested tables in your schema for storing data, you must remember to create an index on the nested_table_id column yourself. For example, in our case, we create an index as follows: benchmark@ORA10G> create index parts_nt_idx on parts_nt(nested_table_id); Index created. Thus you can see that behind the scenes Oracle works in terms of relational tables, which adds to code complexity as well. In the next section, we summarize these and other reasons that we have uncovered so far justifying the recommendation to avoid objects as a way to store data in tables.

GridView gv = new GridView(); cn.Open(); gv.DataSource = cm.ExecuteReader(CommandBehavior.CloseConnection); gv.DataBind(); form1.Controls.Add(gv); } Adding the Provider Factory restores a feature of ADO that was lost when you moved to ADO.NET version 1.x: the ability to easily switch your backend database at deployment or even at runtime. Using these features won t be for everyone, but it will be very nice for those who do have the requirement of shipping code that can dynamically adjust to different vendor s databases.

This relies on the following logical rules for constructing BDD nodes formed by taking the conjunction of existing nodes Note how the second rule is used to interleave variables (x => P | Q) AND (x => R | S) is identical to (x => P AND R | Q AND S) (x => P | Q) AND (y => R | S) is identical to (x => P AND T | Q AND T) where T is simply (y => R | S) One final important optimization in the implementation is to memoize the application of the mkAnd operation Given the previous implementation of BDDs, you can now add the members ToString to convert BDDs to strings, Build to convert a Prop representation of a formula into a BDD, and Equiv to check for equivalence between two BDDs: member g.