ASP.NET Web PDF Document Viewer/Editor Control Library

Now this UDF can be used within a T-SQL query in a variety of ways For example, the following query displays the full names of each row in the Contact table: SELECT dboGetFullName(Title, FirstName, MiddleName, LastName) As FullName FROM PersonContact One of the disadvantages of a UDF is that it can return only a single scalar value However, you can create another type of function, called a table-valued function (TVF) that returns a result set Again, this is similar to the functionality of a stored procedure except that a TVF can be used within a query Specifically, TVFs are typically found in the FROM clause of a SELECT query User-Defined Aggregates For years, database developers have requested the ability to extend the set of built-in functions like COUNT, SUM, AVG, etc with their own custom functions.

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I explain each of these methods in more detail alongside their definition shortly _doUseGetArray( array ); _doUseResultSet( array ); _doUseGetOracleArray( array ); } } finally { JDBCUtilclose( rset); JDBCUtilclose( pstmt); } } Using the Standard getArray() Method of the Array Interface In the definition of the method _doUseGetArray(), we use the method getArray() to retrieve the collection elements In this case, Oracle automatically converts the database collection into an array in Java, the elements of which are Java objects of types based on the conversion in Table A-1 in the Appendix For example, in our case we have a varray of varchar2 elements, so the array itself is returned as an array of String objects In the case of the number array, the array is returned as an array of javamathBigDecimal objects, and so on private static void _doUseGetArray( ARRAY array ) throws SQLException { System.

There is something somewhat magical about this; you have been able to build a layer that has automatically done the impedance matching between the untyped world of a text file format into the typed world of F# programming Amazingly, the SchemaReader type itself is only about 50 lines of code The comments in Listing 9-10 show the basic steps being performed The essential features of this technique are as follows: 1 The schema information is passed to the SchemaReader as a type variable The SchemaReader then uses the typeof operator to extract a SystemType representation of the schema type 2 The information needed to drive the transformation process comes from custom attributes Extra information could also be supplied to the constructor of the SchemaReader type if necessary 3.

outprintln("In _doUseGetArray"); // Since varchar2 maps by default to String, // we can typecast the results to a String array String[] arrayInJava = (String[])arraygetArray();.

Finally, you can now do exactly that by implementing a user-defined aggregate (UDA) UDAs are similar to UDFs, except that they are designed to compute a single value by operating on a given column over a set of rows Typically, you can also implement UDA functionality as a stored procedure or a UDF The benefit of the UDA approach, however, is that you can use it in your queries like any of the built in aggregate functions It will also perform better in most cases User-Defined Types SQL Server 2005 s new user-defined type (UDT) feature enables you to extend the SQL Server type system with your own custom scalar types You simply define a custom type as a managed class and encapsulate all required data and behaviors within that class.

The let bindings of the SchemaReader type are effectively a form of precomputation (they can also be seen as a form of compilation)They precompute as much information as possible given the schema For example, the section analyzes the fields of the schema type and computes functions for creating objects of the field types It also computes the permutation from the text file columns to the record fields, using the type Microsoft FSharpCollectionsPermutation 4 The data objects are ultimately constructed using reflection functions, in this case a function computed by MicrosoftFSharpReflectionValueGetRecordConstructor or primitive values parsed using SystemInt32Parse and similar functions This and other functions for creating F# objects dynamically are in the MicrosoftFSharpReflection library Other functions for creating other NET objects dynamically are in the System Reflection library 5.