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As you can see, using aliases in HQL and JPA QL is the same for both direct classes and joined associations. You used a collection in the previous examples, but the syntax and semantics are the same for single-valued associations, such as many-toone and one-to-one. You assign aliases in the FROM clause by naming the association and then use the aliases in the WHERE and possibly SELECT clause. HQL and JPA QL offer an alternative syntax for joining a collection in the FROM clause and to assign it an alias. This IN() operator has its history in an older version of EJB QL. It s semantics are the same as those of a regular collection join. You can rewrite the last query as follows:

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Table 3.2 Pattern **/*~ **/#*# **/.#* **/%*% **/CVS **/CVS/** **/.cvsignore **/SCCS **/SCCS/** **/vssver.scc **/._* Default exclude patterns, and the typical reason for their existence. Typical program that creates and uses these files jEdit and many other editors use this as previous version backup editors editors editors CVS (Concurrent Version System) metadata directory CVS, metadata files CVS, contains exclusion patterns for CVS to ignore during routine operations SCCS metadata directory SCCS metadata files Microsoft Visual SourceSafe metadata file Mac OS/X resource fork files

The from Item i in(i.bids) b results in the same inner join as the earlier example with from Item i join i.bids b.

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So far, you ve only written inner joins. Outer joins are mostly used for dynamic fetching, which we ll discuss soon. Sometimes you want to write a simple query with an outer join without applying a dynamic fetching strategy. For example, the following query is a variation of the first query and retrieves items and bids with a minimum amount:

Default exclude patterns, and the typical reason for their existence. (continued) Typical program that creates and uses these files Subversion SCM files Subversion SCM files

from Item i left join i.bids b with b.amount > 100 where i.description like '%Foo%'

**/.svn/**

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The first thing that is new in this statement is the LEFT keyword Optionally you can write LEFT OUTER JOIN and RIGHT OUTER JOIN, but we usually prefer the short form The second change is the additional join condition following the WITH keyword If you place the bamount > 100 expression into the WHERE clause you d restrict the result to Item instances that have bids This isn t what you want here: You want to retrieve items and bids, and even items that don t have bids By adding an additional join condition in the FROM clause, you can restrict the Bid instances and still retrieve all Item objects This query again returns ordered pairs of Item and Bid objects.

The ** is a pattern to match multiple directories in a hierarchy. (These patterns are discussed in more detail in the Patternset section.) Many users have been bitten by the confusion caused when a fileset does not include every file that was intended because it matches one of these default exclude patterns. The <fileset> element has a defaultexcludes attribute for turning off this behavior. Simply use defaultexcludes="no" to turn off the automatic exclusions. Unfortunately, these default exclude patterns are hard-coded and not extensible, but in most cases using the default excludes is the desired behavior and rarely becomes an issue.

Finally, note that additional join conditions with the WITH keyword are available only in HQL; JPA QL supports only the basic outer join condition represented by the mapped foreign key association A much more common scenario in which outer joins play an important role is eager dynamic fetching Dynamic fetching strategies with joins All queries you saw in the previous section have one thing in common: The returned Item instances have a collection named bids This collection, if mapped as lazy="true" (default), isn t initialized, and an additional SQL statement is triggered as soon as you access it The same is true for all single-ended associations, like the seller of each Item By default, Hibernate generates a proxy and loads the associated User instance lazily and only on-demand.

What options do you have to change this behavior First, you can change the fetch plan in your mapping metadata and declare a collection or single-valued association as lazy="false" Hibernate then executes the necessary SQL to guarantee that the desired network of objects is loaded at all times This also means that a single HQL or JPA QL statement may result in several SQL operations! On the other hand, you usually don t modify the fetch plan in mapping metadata unless you re absolutely sure that it should apply globally You usually write a new fetch plan for a particular use case This is what you already did by writing HQL and JPA QL statements; you defined a fetch plan with selection, restriction,.

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