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The plug-in has two functions: Mass Spam Nuke: This allows you to remove all the comments marked as spam with a single click. Simply click the Nuke em, nuke em all! button. However, as the page cautions, this step is irreversible (database backup not withstanding). You might want to look at the other function first. Unspammer: This allows you to change the status of a comment marked as spam. Depending on how you detect and mark comments as spam, you may end up with some false positives some comments marked as spam that should not be. This function allows you to correct that and rescue those comments. Look down the list of comments. The name, e-mail, URI, IP address, and a count of duplicates are provided to help you decide the status of a comment. If you find any comments that should not be marked as spam, click the check box to the left of the comment. When you have finished with the list, click the Unspam me! button at the bottom of the page. The comments you marked will be changed to be ordinary comments, disappear from the spam list, and appear on your site as normal comments. When you are sure you have rescued all the legitimate comments, go ahead and click the Nuke em button. All of your spam comments will be removed from the database, saving you valuable space.

System.setProperty("java.security.krb5.realm", "JETSPEED"); System.setProperty("java.security.krb5.kdc", "jetspeed"); System.setProperty("sun.security.krb5.debug", "false"); } public static Subject jaasLogin( String context, String principalName, String password) throws LoginException { System.out.println("Acquiring context"); LoginContext lc = new LoginContext( context, new KerberosCallbackHandler(principalName, password)); System.out.println("Logging in..."); try { lc.login(); System.out.println("OK, Logged in."); System.out.println( "Retrieving and returning the Subject from the login context."); return lc.getSubject(); } catch (Exception e) { throw new LoginException("Login failed: " + e); } } public static void main(String[] argv) { String principalName = "dave"; String password = "MyPassword"; setKerberosSystemProperties(); System.out.println("Attempting jaasLogin"); try { Subject subject = jaasLogin("ClientAuthentication", principalName, password); System.out.println("Logged in " + subject); } catch (Exception e) { System.out.println("JaasLogin Failed: " + e); e.printStackTrace(); }

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Bandwidth usage is another limit your hosting service will specify. Strictly speaking, bandwidth is the wrong term to use. Hosting companies usually restrict your monthly data transfer allowance; that is, they monitor how much data is transferred from your account each month. Unfortunately, the term bandwidth is so commonly used for this allowance that it has become the way to describe it. If you exceed the allowed bandwidth, several things may happen: The hosting company may shut down your site until the end of the month. The hosting company may allow your site to go over the limit but charge you for the excess (often an excessive amount). The hosting company may force you to upgrade your account to one with more bandwidth allowance. Most control panels provided by your hosting company have some way to monitor your bandwidth usage. Figure 18-8 shows one such example from the Plesk control panel (http:// www.sw-soft.com/en/products/plesk/).

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Data-access code that uses Hibernate or JPA can work with Spring s transaction management without using the respective Spring template classes. Some restrictions apply. See 9 of the Spring reference manual for details.

If your hosting service provides traffic statistics derived from your web server logs, those can be another way to monitor your traffic. Figure 18-9 shows a typical monthly chart from the Webalizer package (http://www.mrunix.net/webalizer/). From a chart like this, you can get a good idea of the growth of your traffic and look for trends that look like you might be exceeding your bandwidth allowance. Figure 18-10 shows another statistics report from the Webalizer package. This particular report shows the URLs that use the most bandwidth. In this example, you see that the third page in the list has managed to generate almost 1.3% of the traffic, despite having only 791 hits. Compare that to the first page in the list, which has of 22,000 hits for 7.4% of the traffic. In other words, that third file is using a disproportionate amount of bandwidth allowance. I investigated that post on my blog and saw that it has more than 530 comments, making it a huge, 400KB page. I can choose to address this issue in some way, perhaps by trimming the comments that are over a year old. Many statistics package provide reports like this that allow you to delve into the aggregated data from your server s web logs.

System.out.println("OK, Done."); } }

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