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Dictionaries are often used to cache information that is slow to fetch or create. Information can be placed in a dictionary the first time it is loaded, allowing an application to avoid that cost the next time the information is required. For example, suppose a doctor is with a patient, and wants to look at information regarding recent tests or medical procedures the patient has undergone. This will typically involve requesting

Figure 4-1. ClamXav virus scanner To automate virus scanning, follow these steps: 1. Click the Preferences button, and then click the Schedule tab of the Preferences screen. 2. From here, click the Scan subtab (shown in Figure 4-2), which opens an authentication screen. 3. Click the padlock, and enter the password for an administrative account of the computer. 4. To schedule scans, place check marks in the days you want the computer to be scanned for viruses and the time that scans should be run. If you want to see whether any infected files were found at the end of each scan, you can check the Open Scan Log Automatically After Scheduled Scan box.

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records from some server to describe these patient encounters, and you might find that the application can be made considerably more responsive by keeping hold of the records on the client side after they have been requested so that they don t have to be looked up again and again as the doctor scrolls through a list of records This is a very similar idea to the lookup usage we described earlier, but there are two important differences First, caches usually need some sort of policy that decides when to remove data from the cache if we add every record we load into the cache and never clear out old ones, the cache will consume more memory over time, slowing the program down, which is the opposite of the intended effect The appropriate policy for removing items from a cache will be application-specific.

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In a patient record viewing application, the best approach might be to clear the cache as soon as the doctor starts looking up information for a new patient, since that suggests the doctor has moved on to a new appointment and therefore won t be looking at the previous patient s details anytime soon But that policy works only because of how this particular system is used other systems may require other mechanisms Another popular heuristic is to set an upper limit on either the number of entries or the total size of the data in a cache, and to remove items based on when they were last retrieved The second difference between using a dictionary to cache data rather than to look up preloaded data is that in caching scenarios, the data involved is often more dynamic.

A list of known countries won t change very often, but patient records might change while in use, particularly if the patient is currently in the hospital So when caching copies of information locally in a dictionary, you need to have some way of dealing with the fact that the information in the cache might be stale (For example, although caching patient records locally would be useful, your application might need to deal with the possibility that new test results become available while the patient is with the doctor) As with removal policy, detection of stale data requires application-specific logic For example, some data might never change accounting data usually works this way, because even when data is discovered to be incorrect, it s not usually modified Legal auditing requirements usually mean you have to fix problems by adding a new accounting record that corrects the old one.

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So for this sort of entry, you know that a cache of any given record will never be stale (Newer records might exist that supersede the cached record you have, but the cache of that record will still be consistent with whatever is in the database for that entry) Sometimes it might be possible to perform a relatively cheap test to discover whether the cached record is consistent with the information on a server HTTP supports this a client can send a request with an If-Modified-Since header, containing the date at which the cached information was known to be up-to-date If the server has no newer information, it sends a very short reply to confirm this, and will not send a new copy of the data.

5. Clicking the Save Schedule Settings button will commit these changes the next time a scan or update is run.

Web browser caches use this to make web pages you ve previously visited load faster, while ensuring that you always see the most recent version of the page..

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