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Prefetching using a subselect is a powerful optimization; we ll show you a few more details about it later, when we walk through a typical scenario. Subselect fetching is, at the time of writing, available only for collections, not for entity proxies. Also note that the original query that is rerun as a subselect is only remembered by Hibernate for a particular Session. If you detach an Item instance without initializing the collection of bids, and then reattach it and start iterating through the collection, no prefetching of other collections occurs. All the previous fetching strategies are helpful if you try to reduce the number of additional SELECTs that are natural if you work with lazy loading and retrieve objects and collections on demand. The final fetching strategy is the opposite of on-demand retrieval. Often you want to retrieve associated objects or collections in the same initial SELECT with a JOIN.

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Writing a custom listener The example listener we demonstrate here was written by Erik during the development of this book, contributed to the Ant codebase, and is already available in the Ant distribution. This custom listener is a wrapper for the Jakarta Commons Logging API, which itself is a fa ade over several popular logging APIs, including Log4j, LogKit, and Java 1.4 s logging facility. The documentation, source, and binaries of this library are available at http://jakarta.apache.org/commons/logging.html. Listing 20.2 shows our implementation of a BuildListener that hands off build events to this logging fa ade.

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Lazy loading is an excellent default strategy. On other hand, you can often look at your domain and data model and say, Every time I need an Item, I also need the seller of that Item. If you can make that statement, you should go into your mapping metadata, enable eager fetching for the seller association, and utilize SQL joins:

package org.apache.tools.ant.listener; import import import import import import import import org.apache.commons.logging.Log; org.apache.commons.logging.LogConfigurationException; org.apache.commons.logging.LogFactory; org.apache.tools.ant.BuildEvent; org.apache.tools.ant.BuildListener; org.apache.tools.ant.Project; org.apache.tools.ant.Target; org.apache.tools.ant.Task;

Hibernate now loads both an Item and its seller in a single SQL statement. For example:

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* Note: do not use the SimpleLog as your logger implementation as it * causes an infinite loop since it writes to System.err, which Ant traps * and reroutes to the logger/listener layer. * * @author Erik Hatcher * @since Ant 1.5 */ public class CommonsLoggingListener implements BuildListener { private boolean initialized = false; private LogFactory logFactory; public CommonsLoggingListener() { try { logFactory = LogFactory.getFactory(); } catch (LogConfigurationException e) { e.printStackTrace(System.err); return; } initialized = true; } public void buildStarted(BuildEvent event) { if (initialized) { Log log = logFactory.getInstance(Project.class); log.info("Build started."); } } public void buildFinished(BuildEvent event) { if (initialized) { Log log = logFactory.getInstance(Project.class); if (event.getException() == null) { log.info("Build finished."); } else { log.error("Build finished with error.", event.getException()); } } } public void targetStarted(BuildEvent event) { if (initialized) { Log log = logFactory.getInstance(Target.class); log.info("Target \"" + event.getTarget().getName() + "\" started."); } } public void targetFinished(BuildEvent event) { if (initialized) { String targetName = event.getTarget().getName();

Item item = (Item) session.get(Item.class, new Long(123));

Log log = logFactory.getInstance(Target.class); if (event.getException() == null) { log.info("Target \"" + targetName + "\" finished."); } else { log.error("Target \"" + targetName + "\" finished with error.", event.getException()); } } } public void taskStarted(BuildEvent event) { if (initialized) { Task task = event.getTask(); Log log = logFactory.getInstance(task.getClass().getName()); log.info("Task \"" + task.getTaskName() + "\" started."); } } public void taskFinished(BuildEvent event) { if (initialized) { Task task = event.getTask(); Log log = logFactory.getInstance(task.getClass().getName()); if (event.getException() == null) { log.info("Task \"" + task.getTaskName() + "\" finished."); } else { log.error("Task \"" + task.getTaskName() + "\" finished with error.", event.getException()); } } } public void messageLogged(BuildEvent event) { if (initialized) { Object categoryObject = event.getTask(); if (categoryObject == null) { categoryObject = event.getTarget(); if (categoryObject == null) { categoryObject = event.getProject(); } } Log log = logFactory.getInstance( categoryObject.getClass().getName()); switch (event.getPriority()) { case Project.MSG_ERR: log.error(event.getMessage()); break; case Project.MSG_WARN: log.warn(event.getMessage()); break; case Project.MSG_INFO: log.info(event.getMessage()); break; case Project.MSG_VERBOSE:

This operation triggers the following SQL SELECT:

log.debug(event.getMessage()); break; case Project.MSG_DEBUG: log.debug(event.getMessage()); break; default: log.error(event.getMessage()); break; } } } }

Obviously, the seller is no longer lazily loaded on demand, but immediately. Hence, a fetch="join" disables lazy loading. If you only enable eager fetching with lazy="false", you see an immediate second SELECT. With fetch="join", you get the seller loaded in the same single SELECT. Look at the resultset from this query shown in figure 13.4.

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