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ops$tkyte@ORA10G> create index local_prefixed on partitioned_table (a,b) local; Index created. ops$tkyte@ORA10G> create index local_nonprefixed on partitioned_table (b) local; Index created. Next, we ll insert some data into one partition and gather statistics: ops$tkyte@ORA10G> insert into partitioned_table 2 select mod(rownum-1,2)+1, rownum, 'x' 3 from all_objects; 48967 rows created. ops$tkyte@ORA10G> begin 2 dbms_stats.gather_table_stats 3 ( user, 4 'PARTITIONED_TABLE', 5 cascade=>TRUE ); 6 end; 7 / PL/SQL procedure successfully completed. We take offline tablespace P2, which contains the PART_2 partition for both the tables and indexes: ops$tkyte@ORA10G> alter tablespace p2 offline; Tablespace altered. Taking tablespace P2 offline will prevent Oracle from accessing those specific index partitions. It will be as if we had suffered media failure, causing them to become unavailable. Now we ll query the table to see what index partitions are needed by different queries. This first query is written to permit the use of the local prefixed index: ops$tkyte@ORA10G> select * from partitioned_table where a = 1 and b = 1; A B DATA ---------- ---------- -------------------1 1 x That query succeeded, and we can see why by reviewing the explain plan. We ll use the built-in package DBMS_XPLAN to see what partitions this query accesses. The PSTART (partition start) and PSTOP (partition stop) columns in the output show us exactly what partitions this query needs to have online and available in order to succeed: ops$tkyte@ORA10G> delete from plan_table; 4 rows deleted. ops$tkyte@ORA10G> explain plan for 2 select * from partitioned_table where a = 1 and b = 1; Explained.



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Figure 3.6 Stateful bean session maintenance. There is a bean instance reserved for a client and each instance stores the client s state information. The bean instance exists until either removed by the client or timed out.





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Isolating problem domains, such as persistence, web navigation, and user interface, into separate layers creates a flexible and testable application. Implementations of each layer will vary independently, increasing the flexibility of the application. Decreasing the coupling between areas of the application will increase the testability, making it easier to test each part of the application in isolation. This isolation is accomplished by minimizing the amounts of dependencies between the layers. The fewer dependencies a layer has upon itself, the less costly it is to change that layer. It is a best practice to ensure that a layer is required only by one or two other layers. Avoid having one single layer required by many different parts of the application.1 You can avoid dependency explosion in at least two ways. If a layer begins to employ too many layers, consider creating a new layer of abstraction wrapping all the previous interactions. On the other hand, if you find that a layer has permeated throughout many layers, consider if that layer is itself an aspect of the system. If the functionality can be applied across great swaths of the system transparently, use Spring s AOP functionality to remove the explicit dependency from your code. The important point to remember is that one of the great benefits of layering an application is it creates a decoupled design. When you discover a layer or facet of the application that is too intrusive, refactor it to another abstraction or through AOP This will keep your applica. tion flexible and testable.

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ops$tkyte@ORA10G> select * from table(dbms_xplan.display); PLAN_TABLE_OUTPUT ---------------------------------------------------------------------------------| Operation | Name | Rows | Pstart| Pstop | ---------------------------------------------------------------------------------| SELECT STATEMENT | | 1 | | | | PARTITION RANGE SINGLE | | 1 | 1 | 1 | | TABLE ACCESS BY LOCAL INDEX ROWID| PARTITIONED_TABLE | 1 | 1 | 1 | | INDEX RANGE SCAN | LOCAL_PREFIXED | 1 | 1 | 1 | ---------------------------------------------------------------------------------Predicate Information (identified by operation id): --------------------------------------------------3 - access("A"=1 AND "B"=1)

We describe a use case of our ActionBazaar application and implement it using a stateful session bean. We show you additional programming rules for stateful session beans, and then we examine stateful bean lifecycle callback methods and the @Remove annotation. Finally, we summarize differences between stateless and stateful session beans. However, before we jump into code, let s briefly examine the rules specific to developing a stateful session bean.

Note The DBMS_XPLAN output has been edited to remove information that was not relevant, in order to

3.3.1 Additional programming rules In section 3.1.3, we discussed the programming rules that apply to all session beans. Stateful session beans have a few minor twists on these rules:

The Java interface is the key enabler to building an application with layers. The interface is a contract for a layer, making it easy to keep implementations and their details hidden while enforcing correct layer usage. The benefits of low coupling provided by interfaces have been well known for some time. Their full benefits have been hindered because the instantiation of concrete types was still required. The promise of implementation abstraction wasn t quite realized this is, before Spring and other Dependency Injection frameworks. Spring helps interfaces truly shine, because it handles the creation of the objects instead of your application code. Treating an interface as a contract between layers is very helpful in large team settings. Coordinating the many resources often required by large projects is difficult, and it is rare that integration between layers happens precisely. Interfaces help to speed development between teams because of their lightweight nature. Developers program against the interface, while its implementation continues to be built and tested. On a practical level, the Spring Framework works especially well with interfaces. Its AOP facilities are built around JDK proxies,2 making it easy to extend an implementation of an interface with additional services.

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