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take advantage of the best-of-breed technologies both in and outside the Java world in a competitive timeframe Third, vendors have historically competed against one another by providing value-added nonstandard features All of these factors help keep EJB on the track of continuous healthy evolution Stable, high-quality code base Although EJB 3 is a groundbreaking step, most application server implementations will still benefit from a relatively stable code base that has lived through some of the most demanding enterprise environments over a prolonged period of time Most persistence provider solutions like JDO, Hibernate, and TopLink are also stable products that are being used in many mission-critical production environments This means that although EJB 3 is very new, you can expect stable implementations relatively quickly Also, because of the very nature of standardsbased development, the quality of EJB 3 container implementations is generally not taken lightly by vendors.



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Figure 14-1. Parallel select count (status) depiction We can see this in an explain plan. Using a BIG_TABLE with 10 million rows in it, we ll walk through enabling a parallel query for that table and discover how we can see parallel query in action. This example was performed on a four-CPU machine with default values for all parallel parameters; that is, this is an out-of-the-box installation where only necessary parameters were set, including SGA_TARGET (set to 1GB), CONTROL_FILES, DB_BLOCK_SIZE (set to 8KB), and PGA_AGGREGATE_TARGET (set to 512MB). Initially, we would expect to see the following plan: big_table@ORA10GR1> explain plan for 2 select count(status) from big_table; Explained. big_table@ORA10GR1> select * from table(dbms_xplan.display); PLAN_TABLE_OUTPUT ---------------------------------------Plan hash value: 1287793122 ---------------------------------------------------------------------------| Id | Operation | Name | Rows|Bytes | Cost (%CPU)|Time | ---------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 1 | 17 | 32390 (2)|00:06:29 | | 1 | SORT AGGREGATE | | 1 | 17 | | | | 2 | TABLE ACCESS FULL| BIG_TABLE | 10M| 162M| 32390 (2)|00:06:29 | ----------------------------------------------------------------------------





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To some degree, this helps ensure a healthy level of inherent implementation quality Clustering, load balancing, and failover Features historically added by most application server vendors are robust support for clustering, load balancing, and failover EJB application servers have a proven track record of supporting some of the largest high-performance computing (HPC)-enabled server farm environments More importantly, you can leverage such support with no changes to code, no third-party tool integration, and relatively simple configuration (beyond the inherent work in setting up a hardware cluster) This means that you can rely on hardware clustering to scale up your application with EJB 3 if you need to EJB 3 is a compelling option for building enterprise applications In the following sections, we explain more about EJB types and how to use them We also discuss containers and persistence providers and explore the services they provide.

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That is a typical serial plan No parallelism is involved because we did not request parallel query to be enabled, and by default it will not be We may enable parallel query in a variety of ways, including use of a hint directly in the query or by altering the table to enable parallel execution paths to be considered (which is the option we use here) We can specifically dictate the degree of parallelism to be considered in execution paths against this table We can tell Oracle, We would like you to use parallel degree 4 when creating execution plans against this table, for example: big_table@ORA10GR1> alter table big_table parallel 4; Table altered I prefer to just tell Oracle, Please consider parallel execution, but you figure out the appropriate degree of parallelism based on the current system workload and the query itself.

Integration with other frameworks is done by way of a Front Controller (http://java.sun. com/blueprints/corej2eepatterns/Patterns/FrontController.html) associating a flow with a URL that is backed by a Controller.

By the time you finish reading sections 12 and 13, you ll have a good idea of what EJBs are and where they run, and what services they offer So let s get started!.

That is, let the degree of parallelism vary over time as the workload on the system increases and decreases If we have plenty of free resources, the degree of parallelism will go up; in times of limited available resources, the degree of parallelism will go down Rather than overload the machine with a fixed degree of parallelism, this approach allows Oracle to dynamically increase or decrease the amount of concurrent resources required by the query Therefore, we simply enable parallel query against this table via the following ALTER TABLE command: big_table@ORA10GR1> alter table big_table parallel; Table altered That is all there is to it parallel query will now be considered for operations against this table When we rerun the explain plan, this time we see the following: big_table@ORA10GR1> explain plan for 2 select count(status) from big_table; Explained big_table@ORA10GR1> select * from table(dbms_xplan.

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