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In our example, we decide to use the WEAK memory cache because it is a less restrictive means of caching. Unlike LRU, which requires a certain level of predictability for determining the number of results that should be cached, the WEAK memory cache allows us to decide which items to retain and discard before a predetermined artificial limit is met. Since the cache uses the java.lang.ref.Reference implementations to store data in the cache, it can remove or retain results based on internal analytics. When using the WEAK reference type with the MEMORY cache, the results are wrapped with a WeakReference (java.lang.ref.WeakReference) and stored in the cache. Then, the garbage collector is able to handle the wrapped results at its discretion. Now let s move on to configuring the <cacheModel> tag. As expected, the cacheModel type attribute is specified as MEMORY. Note that we are setting the

Pushes x onto the heap Pops off the smallest element in the heap Enforces the heap property on an arbitrary list Pops off the smallest element and pushes x Returns the n largest elements of iter Returns the n smallest elements of iter

Once the M file is saved, you re ready to deploy the model as a schema to SQL Server. In Quadrant, you are able to deploy the model directly to the SQL Server database without having to use the commandline tool set as you did in the last chapter. To use this procedure for deploying the model, click Data Deploy in the menu bar (see Figure 4-6). (As the menu indicates, Ctrl+F5 will also work.)

readOnly attribute on the <cacheModel> tag to true in an environment that is a read-write environment. Additionally, we set serialize to false to eliminate the

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The heappush function is used to add an item to a heap. Note that you shouldn t use it on any old list only one that has been built through the use of the various heap functions. The reason for this is that the order of the elements is important (even though it may look a bit haphazard; the elements aren t exactly sorted). >>> >>> >>> >>> >>> >>> ... >>> [0, >>> >>> [0, from heapq import * from random import shuffle data = range(10) shuffle(data) heap = [] for n in data: heappush(heap, n) heap 1, 3, 6, 2, 8, 4, 7, 9, 5] heappush(heap, 0.5) heap 0.5, 3, 6, 1, 8, 4, 7, 9, 5, 2]

burden of the deep copy. That means that objects that are retrieved from the cache may be altered. This is a safe approach for several reasons. First, only the person managing the cart will be altering product objects. The users who are actually shopping will never change the product object through their actions. Second, whenever a product update occurs, the cache is flushed. Finally, specifying the reference-type property as WEAK will not allow products to hang around very long because it discards them at the discretion of the garbage collector. Listing 9.10 shows an example of our cache model configuration.

<cacheModel id="productCache" type="MEMORY" readOnly="true" serialize="false"> <flushOnExecute statement="Product.add" /> <flushOnExecute statement="Product.edit" /> <flushOnExecute statement="Product.remove" /> <property name="reference-type" value="WEAK" /> </cacheModel>

Figure 4-6. Deploying CarModel.m to SQL Server A dialog box will pop up, as shown in Figure 4-7, giving you the option to deploy to the existing database session, to replace an existing database (this would replace the database, including schema and data), or create a new database.

The order of the elements isn t as arbitrary as it seems. They aren t in strictly sorted order, but there is one guarantee made: the element at position i is always greater than the one in position i // 2 (or, conversely, it s smaller than the elements at positions 2*i and 2*i + 1). This is the basis for the underlying heap algorithm. This is called the heap property.

We can now use the defined <cacheModel> from a query mapped statement. We tell the getProductById query mapped statement to use productCache by specifying it in the cacheModel. Whenever the getProductById select is called from the application, the cached product object will be retrieved according to the specifications of the productCache cache model. Listing 9.11 shows a simple example of how a <select> statement can take advantage of the defined <cacheModel>.

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