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You might be wondering why a filter system is even needed when you can easily manipulate text using existing hooks found elsewhere. For example, it would be just as easy to use hook_nodeapi() to convert URLs to clickable links rather than using URL filter. But consider the case in which you have five different filters that need to be run on the body field of nodes. Now suppose you re viewing the default http://example.com/ q=node page, which displays ten nodes at a time. That means 50 filters need to be run to generate a single page view, and filtering text can be an expensive operation. It would also mean that whenever a node is displayed it would have to run through the filters, even if the text that s being filtered is unchanged. You d be running this operation over and over again unnecessarily. The filter system has a caching layer that provides significant performance gains. Once all filters have run on a given piece of text, the filtered version of that text is stored in the cache_filter table, and it stays cached until the text is once again modified (modification is detected using an MD5 hash of the filtered contents). To go back to our example, loading ten nodes could effectively bypass all filters and just load their data straight from the cache table when that text hasn t changed much faster! See Figure 11-5 for an overview of the filter system process.

array_merge($hawaiian_towers[$row['unique_si_loc']],$row); } unset($locations); echo memory_get_usage(); > You can see that the only thing this script outputs to the screen is the total memory usage in bytes. For our data set, this is approximately 780KB. This illustrates the fact that this method is very memory-intensive, consuming one-eighth of the average allotment simply for data retrieval. As a result, this method is probably one of the worst ways you could go about reassembling your data. However, this code does introduce the use of the SQL IN clause. IN simply takes a list of things (in this case integers) and selects all of the rows where one of the values in the list is in the column unique_si. It s still better to use joins to take advantage of the SQL engine s internal optimizations, but IN can be quite handy at times. You can use PHP s implode() function and a temporary array to create the list to pass to IN quickly and easily. For more information about the array_merge() function, check out http://ca.php.net/manual/en/ function.array-merge.php.

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The PlayerController class, shown in Listing 5-8, is required to implement the ModelAndView that encapsulates the model and view data to be displayed in Flex. In this case, the data is the results from asking the Player bean for player information. The PlayerController also creates a PlayerService that is injected by Spring. The PlayerStatsController, shown in Listing 5-9, is responsible for taking input parameters from the Flex application and applying them to the results sent back to Flex. You will need the following JAR files to build the Spring MVC project: spring.jar commons-logging.jar jstl.jar spring-web.jar spring-webMVC.jar Listing 5-8. PlayerController.java for the Spring MVC Application package com.af.springMVC.controller; import javax.servlet.ServletException; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import import import import org.springframework.validation.BindException; org.springframework.web.servlet.ModelAndView; org.springframework.web.servlet.mvc.SimpleFormController; org.springframework.web.servlet.view.RedirectView;

Next, you ll formulate a single query to the database that allows you to retrieve all the data for a single structure as a single row. This means that you could iterate over the entire database doing something with each record as you go, without having a single point in time where you re consuming a lot of memory for temporary storage. Working from the example we had at the end of 2, we re going to replace the static data file with one that is generated with PHP and uses our SQL database of the FCC structures. Due to the volume of data we ll be limiting the points plotted to only those that are owned and operated in Hawaii. For more data management techniques see 7. Listing 5-5 shows the new map_data.php file. You will either need to zoom in on Hawaii or change your centering in the map_functions.js file, too. In 6, you will work on the user interface for the map, so right now, you will just plot all of the points.

Tip MD5 is an algorithm for computing the hash value of a string of text. Drupal uses this as an efficient

import com.af.springMVC.services.PlayerService; public class PlayerController extends SimpleFormController { private PlayerService playerService;

Note In reality, this approach is primarily shifting the location where you consume the vast amounts of

public ModelAndView onSubmit(HttpServletRequest request, HttpServletResponse response, Object command, BindException errors) throws ServletException { return new ModelAndView(new RedirectView(getSuccessView())); } public PlayerService getPlayerService() { return playerService; } public void setPlayerService(PlayerService playerService) { this.playerService = playerService; } } Listing 5-9. PlayerStatsController.java for the Spring MVC Application package com.af.springMVC.controller; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import import import import org.apache.commons.logging.Log; org.apache.commons.logging.LogFactory; org.springframework.web.servlet.ModelAndView; org.springframework.web.servlet.mvc.Controller;

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