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NOTE Some providers, such as the EclipseLink JPA 2.0 Reference Implementation, provide much more sophisticated and exotic caching layers and features, such as isolated caching for Virtual Private Database (VPD) support, fine-grained options to determine automatic entity eviction policies, and distributed cache coordination mechanisms. Many also offer integrations with deluxe and highly specialized distributed caching products.

The main legacy pitfall was the architecture of the old API. It was built using a synchronous model. Because of this, the browser had to download and run a lot of scripts sequentially before it could actually display the map. A major goal with the new API was to modularize it so that the necessary code is loaded first, displaying the map, and everything else is loaded later. The result of the efforts of the API team is an API that is significantly faster on mobile platforms such as iPhone and Android and also a lot faster on desktop platforms.

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The number of columns. This can be used to lay out the items in a table. Defaults to one column. Either normal, equal, or the width for each column in a comma-separated list (for example, columns-width: 60,60,100;). Defaults to normal, meaning that each column uses as much space as the widest item of that column needs. The equal leads to columns that all have the same width. The explicit list of column widths results in the usage of those widths.

To see how the various levels of caching in the system get accessed during the course of a typical operation, let s trace a find() request for the Employee with id 100: Employee emp = em.find(Employee.class, 100); The first thing that happens is that the client looks in its local cache for the employee and finds that it doesn t have that Employee instance with id 100. It then issues the find() call on the entity manager. The entity manager will likely have a persistence context associated with it, so it checks in its persistence context for the entity of type Employee with id 100. If the entity exists in the persistence context, the managed instance is returned. If it does not exist or no persistence context had yet been associated with the entity manager, the entity manager goes to the factory to see if the shared cache has the entity instance. If it does, a new Employee instance with id 100 is created from the shared one and inserted into the persistence context, and the new managed instance is returned to the caller. If it is not in the shared cache, an SQL query is generated to select the entity from the database. The JDBC driver may have some data cached, so it could short-circuit the select clause and return at least part of the needed data. The resulting query data is then composed into an object and passed back. That object is inserted into the shared entity manager factory cache, and a new instance copy of it is created and inserted into the persistence context to be managed. That entity instance is finally returned to the client application for the client to cache, if it is so inclined.

In the early days of JPA 1.0, when people would ask us to standardize shared caching at the entity manager factory layer we generally figured that it wasn t worth it because every provider seemed to do caching differently. Some providers cache raw JDBC data, others cache entire objects, others prefer the middle ground of caching partial objects without the relationships built, while others don t cache at all. In the end, operating at the entity level is the best way to interface with the cache, and is the most natural and convenient granularity to use for the API.

Tip If you want to know more about how the new API was built and what led to those decisions, I recommend you watch the first part of the talk, Performance Tips for Geo API Mashups, from the 2009 Google I/O developer conference where Marcelo Camelo explains it all. See http://code.google.com/intl/sv-SE/events/io/2009/ sessions/PerformanceTipsGeoApiMashups.html.

Listing 12-36 shows you an example of how to apply these attributes, and Figure 12-16 shows the result.

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