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8.5.1 Struts fundamentals
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Listing 5.2 The CatalogZone and EditorZone both have zone templates that contain their parts and also have similar style elements.
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Manually index an item instance Index is written at commit time
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Represents Connection to a database Command to be executed by a database Parameter for a command Single row of data returned by a query; alternatively, the IDataRecord interface represents the same concept Iterator over the full results returned by a query (potentially many rows and many row sets); implements
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extra ones are silently ignored and are not indexed. This sounds like bad behavior, but this limit is put in place to avoid receiving OutOfMemoryException. If you happen to have properties with large numbers of terms, and you want to index all of them, make sure you adjust this setting so that you won t run into an OutOfMemoryException. This setting should not be prefixed by either transaction or batch. The default value is 10000. term_index_interval is an expert setting that lets you trade memory for faster queries. When this number is low, more memory is consumed but access to a term in the index is faster. When this value is high, less memory is consumed but finding a term in the index is slower. The default value is 128. This means that you can have a maximum of 128 terms to scan before finding the expected one. In large indexes where queries usually involve the same subset of terms (typical of a user-entered query), this setting will have little impact because Lucene will spend more time processing frequency and positional data. On a small index involving numerous uncommon query terms (for example, those generated by a RangeQuery or a WildcardQuery), looking for terms in the index is a costly operation. This setting can impact performance in this case. It s unlikely that you ll need to tune this property. The configuration can be different between transaction and batch. Some additional configurations such as max_buffered_docs and max_buffered_ delete_terms are available but are considered fairly advanced and rarely useful. Refer to the Hibernate Search reference documentation and the Lucene documentation for the latest information. By default, Hibernate Search uses one Lucene index per entity type. While this default is good enough most of the time, you might need to split your index data into more than one index per entity. Hibernate Search calls this operation sharding, and we ll look at it next.
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The chapter covers
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class is defined in the mapping file, including collections and associations to other persistent objects. The mapping file also defines the mandatory primary key for persistent objects. The primary key is defined using the id element. The id element provides the name of the object property, the column used to persist the primary key, and the strategy used to generate the primary key value. Hibernate supports 10 generator strategies, including the assigned strategy that lets you assign a primary key value outside of Hibernate. Once the configuration and mapping files are written, the Configuration object loads the files and is used to create a SessionFactory. The SessionFactory only needs to be initialized once and can be reused throughout the application. The SessionFactory creates instances of the Session interface. Session instances are basically database connections with some additional functionality. The Session interface is the primary developer interface to Hibernate. Using it, you can persist transient objects and make persistent objects transient. It also provides querying capabilities and transaction support. Unlike the SessionFactory, Session instances should not be reused throughout the application. Instead, a new Session instance should be obtained for each transaction. Additional pluggable components supported by Hibernate include database connection pool services, transaction management, and object caching services. These components can improve performance by reusing or caching objects and improving transaction management. Hibernate is flexible enough to be used in any Java application environment. In this chapter, we examined how to configure it to support application persistence in managed and nonmanaged environments, as well as how to create the SessionFactory and persist objects. In the next chapter, we ll look at how Hibernate handles associations and components.
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canvas.saveState(); canvas.beginText(); canvas.moveText(36, 788); canvas.setFontAndSize( BaseFont.createFont(), 12); canvas.showText("Hello World"); canvas.endText(); canvas.restoreState(); document.close();
The EJB specification breaks up exceptions into two categories: system and application. System exceptions denote truly unexpected, system-level events. Application exceptions, on the other hand, signify exceptional events at the application level. They are also part of the API. Application exceptions are checked exceptions and are part of the application s interface. If a bean implementation throws an application exception, the container must propagate the exception to the client as is. Examples of application exceptions include input validation errors and exceptions concerning the business logic. In a trip-booking application, trying to book a trip naming an unacceptable number of travelers or an invalid date would result in application exceptions being thrown. System exceptions denote errors not related to the application s business logic. The EJB specification classifies RuntimeExceptions as system exceptions. EJBException extends RuntimeException making it a system exception. System-level events such as network outages, running out of memory, or I/O errors also result in system exceptions. If a system exception results from a bean implementation, the container must log the exception, mark the current transaction for rollback, and throw away the bean instance. The container then throws remote clients a RemoteException and local clients an EJBException. We often see bean developers throw unchecked exceptions as an easy way to roll back a transaction in response to an application-level event. Doing so creates subtle side effects. First, you have the logging aspect. Standard compliant containers log system exceptions when thrown by the bean implementation. When you encounter truly unexpected exceptions in your application logic (possibly due to a system failure, a misconfiguration, or a low resource), you can simply wrap the
You might be wondering what is the point this does exactly the same as Example 2-10, so why do we need a different syntax As it happens, we don t there s nothing you can do with switch and case that you can t do with if and else. But switch and
holds a cache of persistent instances that grows increasingly stale over time; this is unacceptable. At the beginning of each new application transaction, we do need to ensure that we have a completely clean Hibernate session. We need a new method to demarcate the beginning of an application transaction. This method must close the existing session and open a new one. Together with the disconnect() and reconnect() methods, we add the newApplicationTx() method to the HibernateUtil class:
PRODUCTION DEPLOYMENT
Suppose that instead of returning the entire Event object in your queries, you only want to return the name of the Event. Retrieving the entire object just to get the name is pretty inefficient. Instead, your query will only retrieve the desired data:
Example A-16. One solution to Exercise 7-3
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