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We follow it up by creating a table called emp_table with one of the columns, namely emp_address_list, being of the nested table type nested_table_of_addresses. The table stores employee details, including a list of addresses stored as a nested table column. benchmark@ORA10G> create table emp_table 2 ( 3 empno number, 4 ename varchar2(50), 5 hiredate date, 6 emp_address_list nested_table_of_addresses 7 ) 8 nested table emp_address_list store as emp_address_list_table; Table created. Next we insert a row into the table emp_table. We first initialize a nested table variable of type nested_table_of_addresses using the built-in Oracle constructor, and then we proceed to insert it as part of a row into the table emp_table: benchmark@ORA10G> declare 2 l_address_list nested_table_of_addresses; 3 begin 4 l_address_list := nested_table_of_addresses 5 ( 6 address( '145 Apt # 7','', 'Wander St', 7 'Mountain View', 'CA', '94055' ), 8 address( '333 Apt # 11','', 'Wonder St', 9 'Cupertino', 'CA', '94666' ) 10 ); 11 insert into emp_table values ( 1, 'King', sysdate-47*365, l_address_list ); 12 commit; 13 end; 14 / PL/SQL procedure successfully completed. We issue a simple select on table emp_table to have a look at the row we inserted: benchmark@ORA10G> select e.empno, e.ename, e.hiredate, 2 e.emp_address_list as emp_address_list 3 from emp_table e; EMPNO ENAME HIREDATE EMP_ADDRESS_LIST(LINE1, LINE2, STREET, C ------ ------ --------- ---------------------------------------1 King 06-APR-58 NESTED_TABLE_OF_ADDRESSES(ADDRESS('145 A pt # 7', NULL, 'Wander St', 'Mountain Vi ew', 'CA', '94055'), ADDRESS('333 Apt # 11', NULL, 'Wonder St', 'Cupertino', 'CA ', '94666'))

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A number of technologies that support transactions are available for use in version 1.x of the .NET Framework. Which one you select depends on the requirements of the transactional infrastructure. Because of the resource expense and performance hit incurred by introducing a transaction into a process, you should select the cheapest technology that does the job.

In this chapter, you saw how you can use F# to perform a range of web programming tasks. You started by using sockets and TCP/IP to implement a web server directly, an example of a system network programming task. We then described how ASP.NET can be used to implement web applications involving HTML and input server controls and how to use embedded scripts and code-behind files. We also showed how you can access a database using F# Linq and display data coming from this database. You then looked briefly at web applications that incorporate significant client-side scripting using F# Web Tools and finally took a quick look at how to use web services from F#, including making compositional asynchronous invocations of web services. Data access is a topic that complements web programming and often forms a major part of server-based web applications. In the next chapter, you will look at how to access relational databases from F# programs and also at other aspects of working with data from F#.

In the next section, we will demonstrate how to select the nested table column emp_address_list in our Java program, with each object within the collection materializing as a STRUCT object.

oftware applications deal with data in a wide array of forms: single values such as integers or strings; composite values paired together as tuples, records, or objects; collections of smaller pieces of data represented as lists, sets, arrays, or sequences; XML strings with tags describing the shape and kind of data; or data coming from relational or object-oriented databases, just to name a few In this chapter, we look at ways of working with some common data sources: In 3 you saw that sequences, similar to other enumerable data types such as lists, arrays, maps, and sets, have various aggregate iteration, query, and transform operators We first look at how these operators can be used in a straightforward manner to form SQL-like operations over in-memory collections This mechanism can be further tuned and applied to other data sources where the original data source is mapped to a sequence.

The first of these are transactions that you can create and manage from within a stored procedure. We ll examine Transact-SQL running on SQL Server, but other database vendors products expose similar functionality for whatever language is available for coding procedures (e.g., PSQL in Oracle). Building transactions right into the database stored procedures results in transaction logic that is managed by the database server, is optimized by the database engine, and runs in the same process space of the server. A stored procedure can start a transaction and call other stored procedures in the database and their work will be included in the transaction. The downside to this approach is that it tends to move business logic coding into the database layer. Transactions frequently reflect business rules, so to code the transaction within the stored procedure code naturally introduces business logic into this tier of your application. You re also limited to a single database within which to do your transactional modifications. You can overcome this in SQL Server using linked servers, but you re definitely limited to modifying SQL Server data.