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List result = session.createQuery("from Category c" + " where :givenItem in elements(c.items)") .setEntity("givenItem", item) .list()

hen the subject of whether to deploy a 32-bit or 64-bit version of SQL Server comes up, many people mistakenly assume that 64-bit is automatically going

You can now use the diagrams and maps you created earlier when doing your initial analysis. This diagram should show the existing DNS servers, as well as how they are organized into trees and forests. You can copy these diagrams and simply add the DNS server and zone information to them.

The query returns all categories to which the item belongs and is equivalent to the following HQL (and valid JPA QL), where the subquery is more explicit:

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to improve the performance of their applications. Applications that achieve the greatest improvements are those that are memory bound within the query cache, not the data cache. The query cache contains executable code, which on a 32-bit platform cannot reside in memory above 4 gigabytes (GB), while at the same time, SQL Server limits the maximum size of the query cache to approximately 20 percent of the memory allocated to the SQL Server instance. Applications with large numbers of concurrent users can quickly use up all the memory available to the query cache between the compile and execution plans, thereby causing any additional requests to wait until memory can be freed up in the query cache. By installing the 64-bit version of SQL Server, you remove the 4-GB limit for executable code and allow more space to become available to the query cache. With increased memory space available, more concurrent executions can be handled by the instance, thereby improving performance.

List result = session.createQuery( "from Category c where :givenItem in (select i from c.items i)" ) .setEntity("item", item) .list();

6

Programming Microsoft SQL Server with T-SQL User-Defined Stored Procedures, Functions, Triggers, and Views

Along with elements(), HQL provides indices(), maxelement(), minelement(), maxindex(), minindex(), and size(), each of which is equivalent to a certain correlated subquery against the passed collection. Refer to the Hibernate documentation for more information about these special functions; they re rarely used.

At this stage, you should now have the answers to the following questions:

1. What are the four types of cursors that you can create 2. How does XACT_ABORT behave within a TRY block

Subqueries are an advanced technique; you should question frequent use of subqueries because queries with subqueries can often be rewritten using only joins and aggregation. However, they re powerful and useful from time to time.

Is the company using the same Active Directory (internal) namespace as the DNS (external) namespace Which zone type is the company using: Active Directory integrated or standard primary and secondary zones Which methods of zone transfers or replication are implemented: AXFR, IXFR or fast zone transfer How many DNS servers are spread throughout the organization, and what is the server role (primary, secondary, or caching-only) of each server What type of DNS security, if any, is implemented

14.4 Summary

1. The four types of cursors that can be created are FAST_FORWARD, STATIC,

You will continue to fill in additional information on these maps and diagrams as you work through the other lessons in this chapter.

You re now able to write a wide variety of queries in HQL and JPA QL. You learned in this chapter how to prepare and execute queries, and how to bind parameters. We ve shown you restriction, projection, joins, subselects, and many other options that you probably already know from SQL. Table 14.4 shows a summary you can use to compare native Hibernate features and Java Persistence.

passes to the CATCH block. However, the transaction is doomed and cannot be committed within the CATCH block.

Table 14.4 Hibernate and JPA comparison chart for chapter 14 Hibernate Core Hibernate APIs support query execution with listing, iteration, and scrolling. Hibernate supports named and positional query bind parameters. Hibernate query APIs support application-level query hints. HQL supports SQL-like restriction, projection, joins, subselects, and function calls. Java Persistence and EJB 3.0 Java Persistence standardizes query execution with listing. Java Persistence standardizes named and positional bind parameter options. Java Persistence allows developers to supply arbitrary vendor-specific (Hibernate) query hints. JPA QL supports SQL-like restriction, projection, joins, subselects, and function calls subset of HQL.

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