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In listing 9.8 we start by setting up the cache model. We specify the type attribute as LRU. The id attribute provides us with a unique identifier to reference when setting up query mapped statements that will use the cache. By using the <flushInterval> tag, we ensure that the cache is never older than 24 hours. <flushInterval> will clear any cached results that are stored in the identified categoryCache. Using <flushInterval> we specify that calling the identified insert, update, or delete mapped statement will also trigger a flush of any results stored in the identified categoryCache. Finally, we set the limit for how many items will be stored in the cache by using the <property> tag and the <size> property. Once the cache exceeds 50 stored results, it will begin to remove the least recently used items.

Note that the terminating semicolon (;) after the ending right brace in the code indicates the end of the type definition. Line 14: Where identity (Id); This line of code assigns the identity (primary key in the context of the database) to the value of Id. Line 17: CarComponents: {CarComponent*}; This declares the CarComponents extent (which results in creating a table of the same name in the database). Think of an extent in the model context as mapping directly to a table in the database context, with each entity within the extent corresponding to a record in the database table. In the present context, the extent is declared to be the collection of all CarComponents. The curly braces indicate a collection, and the asterisk is a Kleene operator indicating 0 or more occurrences of CarComponent instances within the collection. Kleene operators are also called repetition operators in the M language specification, and there are three of these: * means zero or more occurrences of an item (as previously described). + means one or more occurrences of an item. means zero or one occurrence of an item. This essentially means the item is nullable, or optional.

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You have already encountered methods in lists. Strings have a much richer set of methods, in part because strings have inherited many of their methods from the string module where they resided as functions in earlier versions of Python (and where you may still find them, if you feel the need). Because there are so many string methods, only some of the most useful ones are described here. For a full reference, see Appendix B. In the description of the string methods, you will find references to other, related string methods in this chapter (marked See also ) or in Appendix B.

In listing 9.9, the query mapped statement getChildCategories takes advantage of categoryCache via the cacheModel attribute, which identifies categoryCache as its associated cache. As users peruse the categories of the shopping cart application, the getChildCategories query mapped statement is called. This causes any child results to be cached. As the cache reaches its size of 50, it begins to remove any aged results from the cache. This causes constantly accessed lists of child categories to remain in the cache longer and provides better performance for the users. If an administrator performs an insert, update, or delete on the categories, a flush is triggered and the buildup of the cached results begins all over. This combination of flushing and culling keeps the child categories fresh and up to date while reducing the constant burden of unnecessary database hits.

<select id="getChildCategories" parameterClass="Category" resultClass="Category" cacheModel="categoryCache"> SELECT * FROM category <dynamic prepend="WHERE "> <isNull property="categoryId"> parentCategoryId IS NULL </isNull> <isNotNull property="categoryId"> parentCategoryId=#categoryId:INTEGER:0# </isNotNull> </dynamic> ORDER BY sequence, title </select>

Even though string methods have completely upstaged the string module, the module still includes a few constants and functions that aren t available as string methods. The maketrans function is one example and will be discussed together with the translate method in the material that follows. The following are some useful constants available from string.2 string.digits: A string containing the digits 0 9 string.letters: A string containing all letters (uppercase and lowercase) string.lowercase: A string containing all lowercase letters string.printable: A string containing all printable characters string.punctuation: A string containing all punctuation characters string.uppercase: A string containing all uppercase letters Note that the string constant letters (such as string.letters) are locale-dependent (that is, their exact values depend on the language for which Python is configured).3 If you want to make sure you re using ASCII, you can use the variants with ascii_ in their names, such as string.ascii_letters.

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