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Note that if an entity instance matching the specified key does not exist in the database, the find method will not throw any exceptions. Instead, the EntityManager will return null or an empty entity and your application must handle this situation. It is not strictly necessary to call the find method in a transactional context. However, the retrieved entity is detached unless a transaction context is available, so it is generally advisable to call the find method inside a transaction. One of the most important features of the find method is that it utilizes EntityManager caching. If your persistence provider supports caching and the entity already exists in the cache, then the EntityManager returns a cached instance of the entity instead of retrieving it from the database. Most persistence providers like Hibernate and Oracle TopLink support caching, so you can more or less count on this extremely valuable optimization. There is one more important JPA feature geared toward application optimization lazy and eager loading. The generated SELECT statement in our example attempts to retrieve all of the entity field data when the find method is invoked. In general, this is exactly what will happen for entity retrieval since it is the default behavior for JPA. However, in some cases, this is not desirable behavior. rdlc pdf 417 PDF417 Barcode Creating Library for RDLC Reports | Generate ...
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Free trial package available to insert PDF - 417 barcode image into Client Report RDLC . Fetch modes allow us to change this behavior to optimize application performance when needed. Entity fetch modes We briefly mentioned fetch modes in previous chapters but haven t discussed them in great detail. Discussing entity retrieval is an ideal place to fully explore fetch modes. As we suggested, the EntityManager normally loads all entity instance data when an entity is retrieved from the database. In ORM-speak, this is called eager fetching, or eager loading. If you have ever dealt with application performance problems due to premature or inappropriate caching, you probably already know that eager fetching is not always a good thing. The classic example we used in previous chapters is loading large binary objects (BLOBs), such as pictures. Unless you are developing a heavily graphics-oriented program such as an online photo album, it is unlikely that loading a picture as part of an entity used in a lot of places in the application is a good idea. Because loading BLOB data typically involves long-running, I/O-heavy operations, they should be loaded cautiously and only as needed. In general, this optimization strategy is called lazy fetching. JPA has more than one mechanism to support lazy fetching. Specifying column fetch-mode using the @Basic annotation is the easiest one to understand. For example, we can set the fetch mode for the picture property on the Item entity to be lazy as follows: rdlc pdf 417 How to add Barcode to Local Reports ( RDLC ) before report ...
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Barcode Control SDK supports generating Data Matrix, QR Code, PDF - 417 barcodes in RDLC Local Report using VB and C# class library both in ASP.NET and ... @Column(name="PICTURE") @Lob @Basic(fetch=FetchType.LAZY) public byte[] getPicture() { return picture; } Enterprise JavaBeans (EJB) deliver fantastic functionality, but also can make for difficult debugging and user tracking during runtime. A good logging framework remedies much of the complexity by allowing you to leave coded trails throughout your application. An experienced developer uses logging as a debugging tool and as a system to track application usage. As Java moves increasingly into the enterprise, logging frameworks are becoming more important to enterprise applications. A large EJB application can push the limits of ordinary logging frameworks. Enterprise applications support many clients, run in clustered environments across many servers, and contain a multitude of transactions. All of these make an application more robust, but chip away at the usefulness of typical homegrown loggers. The recipes in this chapter focus on using the log4j open source project to provide solutions to EJB logging problems. You will find the following topics in this chapter:
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