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And here s the output from the query in Listing 8-1: COLUMN_NAME MIN AVG MAX OCCURS ------------------------------ ---------- ---------- ---------- ---------LOGICAL_INDICATOR 1 1 1 1 PHYSICAL_INDICATOR 1 1 1 1 CAS_NUMBER 30 30 30 1 CODE 30 30 30 10 EXTERNAL_ID 30 30 30 2 FIRST_NAME 30 30 30 2 INSERT_USER 30 30 30 1 LAST_NAME 30 30 30 2 MIDDLE_NAME 30 30 30 2 TEST 30 30 30 1 DESCRIPTION 80 80 80 7 ID_CONTEXT 100 100 100 2 NAME 80 85.7142857 100 7 TITLE 100 100 100 1 NARRATIVE 2000 2000 2000 1 15 rows selected. Analyzing this output, I have concluded that I will need the following constants for testing: A TRUE value for the indicator variables A FALSE value for the indicator variables A 30-character code value that I can specify anytime I test inserting a new code or partial name value into a code or content table An 80-character description value that I can specify anytime I test inserting a new description into a code or content table A 100-character value that I can specify anytime I test inserting a new ID context or title into a content or intersection table A 2,000-character value that I can specify anytime I test inserting a new comment or narrative into a content table I ll keep this list of requirements in mind when I code my testing tool s package specification, so the constants will be accessible to all other program units, and therefore available when writing their test units.

2. The naming of the cons cell traces its roots back to Lisp and came from the act of constructing a list. One constructs a list by linking a cons cell to the head of the list.

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After having internationalized a number of enterprise applications, I began to wonder why we have to specify a maximum column length for character columns at all In the future, I don t think we ll need to do this; the database will handle the length automatically, and why not I ve already expressed my disdain at constraining NUMBER data type columns earlier in this book One programmer I know argued that was important and gave me what he thought was a valid example: It s important to constrain a number column for money It should be NUMBER(11,2), because dollars have hundredths values (dimes and pennies) But that s only valid for dollars; other currencies have thousandths Consider that characters used in the English language use one byte of storage Other languages use characters that require two to four bytes of storage.

For most purposes, the SimpleUrlHandlerMapping class shown in Listing 6-6 will be appropriate when building a web application.

scala> (x :: rest) match { // note the symmetry between creation and matching case xprime :: restprime => println(xprime); println(restprime) }

In addition, sentences, even words, in English are quite compact when compared with other languages For example, an idea expressed in 30 characters in English may take four to fives times as many words and/or characters in German So just what are we specifying when we constrain a varchar2 s length I think it s just our expectation that nothing entered into the column will ever need to be larger than what we ve specified So until Oracle gets with my line of thinking, we might as well decide on a standard set of character column lengths and stick to it Here are the lengths I commonly use for character fields in applications.

1 List(2, 3, 4)

Code: 30 English only; 60 internationalized Code context: 500 English only; 1000 internationalized Comments: 2000 English only; 4000 internationalized Description: 80 English only; 160 ID context: 100 English only; 200 internationalized Name: 80 English only; 160 internationalized Name context: 1000 English only; 2000 internationalized Title: 80 English only; 160 internationalized I would like to hear your thoughts: don@donaldbalescom Now back to our previously scheduled program..

Pattern matching and Lists go hand in hand. We can start off using pattern matching to sum up all the odd Ints in a List[Int].

<bean class= "org.springframework.web.servlet.handler.SimpleUrlHandlerMapping"> <property name="mappings"> <map> <entry key="/login" value-ref="loginHandler"/> <entry key="/accessDenied" value-ref="accessDeniedHandler"/> <entry key="/admin" value-ref="adminUserListController"/> <entry key="/admin/list" value-ref="adminUserListController"/> <entry key="/admin/view/**" value-ref="adminUserViewController"/> </map> </property> <property name="defaultHandler" ref="defaultHandler"/> </bean> All the paths are relative to the mapping of the dispatcher servlet that is using the handler mapping. In our example, the dispatcher is mapped to the root of its application context, and the web application is deployed to the /timesheet application context. In Listing 6-6, the first entry therefore corresponds to a URL of http://example.com/timesheet/login, and any requests (typically GET and POST requests) will be handed to this controller for processing. A default handler can be specified that will be used to handle URLs that are the responsibility of this dispatcher but don t match any of the explicit mappings. This will usually be the home page of the functionality represented by the dispatcher. The simple handler mapping also allows you to specify wildcards, allowing multiple paths with the same prefix to be passed to the same controller without tedious enumeration of the pathnames. Wildcards are represented by using the AntPathMatcher helper class, and allow the following distinctions to be made: matches any single character. * matches any series of characters or no character. ** matches zero or more directories in a path. Our mapping for admin/view/** therefore matches any path starting with admin/view/ regardless of any additional / delimiters that might appear within it. This process can be overridden by injecting a custom implementation of the PathMatcher interface if AntPathMatcher is insufficient.

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