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You may now be thinking that it makes sense to put outer joins on all lookup tables, since you often have inventory before items have sold However, it s also possible to have items in a fact table that do not have a corresponding record in the dimension table As an example, imagine a frustrated sales clerk who keeps trying to scan a trendy new scarf for an impatient customer The scanner does not ring up the product at the register, so the sales clerk manually enters the article code from the scarf s tag (let s avoid the worst-case scenario, when the clerk rings it up under a different article with the same unit price, a common occurrence at my local department store) Why didn t the scarf scan Who knows! Of course, the scarf should have been in inventory! And it should not have been on display without existing in the article master! But it happened, and unfortunately, it happens more than business people realize and more than data modelers wish In an ideal world, the sales transaction would automatically have added an entry in the article master In an almost ideal world, the data warehouse will plug a number in the ARTICLE_ID such as 999 or XXX to say the article description is not found In reality (such as with a transaction system or poorly modeled data mart), you will need to use an outer join Outer joins may not be a problem for small lookup tables, but they are best avoided for large lookup tables because the RDBMS cannot use the index to process the query because of lousy response times Also, earlier versions of certain databases did not support outer joins Even when you use an outer join on a small lookup table, be sure to test the response time or analyze an explain plan in your RDBMS If the response time is slow, train the users to understand that if they want full product listings, full customer listings, or a list of customers who have not bought this year, analyze that data separately Use of subqueries (discussed in 23) may help them answer the same questions more efficiently.

HashSet<T> the perfect choice for working with sets of objects when order does not matter HashSet<T> is a dynamic collection that grows as needed to accommodate the elements it must store Here are four commonly used constructors defined by HashSet<T>: public HashSet( ) public HashSet(IEnumerable<T> collection) public HashSet(IEqualityComparer comparer) public HashSet(IEnumerable<T> collection, IEqualityComparer comparer) The first form creates an empty set The second creates a set that contains the elements of the collection specified by collection The third lets you specify the comparer The fourth creates a set that contains the elements in the collection specified by collection and uses the comparer specified by comparer There is also a fifth constructor that lets you initialize a set from serialized data Because HashSet<T> implements ISet<T>, it provides a complete assortment of set operations Another set-related method that it provides is RemoveWhere( ), which removes elements that satisfy a specified predicate In addition to the properties defined by the interfaces that it implements, HashSet<T> adds Comparer, shown here: public IEqualityComparer<T> Comparer { get; } It obtains the comparer for the invoking hash set Here is an example that shows HashSet<T> in action:

FIGURE 816 Pressure angle l, and transmission angle m for the mechanism when the cam is the output member

// Demonstrate the HashSet<T> class using System; using SystemCollectionsGeneric; class HashSetDemo { static void Show(string msg, HashSet<char> set) { ConsoleWrite(msg); foreach(char ch in set) ConsoleWrite(ch + " "); ConsoleWriteLine(); } static void Main() { HashSet<char> setA = new HashSet<char>(); HashSet<char> setB = new HashSet<char>(); setAAdd('A'); setAAdd('B'); setAAdd('C'); setBAdd('C'); setBAdd('D'); setBAdd('E'); Show("Initial content of setA: ", setA);

8:

Part II:

The American National Standards Institute (ANSI) develops a number of standards, including those that affect SQL syntax With these standards, SQL is a universal language with common syntax that each RDBMS understands (in theory) In 1992, ANSI provided major revisions to SQL These revisions are referred to as ANSI 92 or SQL 92 In reality, each RDBMS has its own SQL dialect with specific functions that may not be part of the SQL 92 standard The ability to understand the SQL 92 is dependent on the RDBMS and its version For example, Oracle 9i supports ANSI 92, but earlier versions do not Support within SQL Server 2000 for ANSI 92 is set via an RDBMS parameter In addition to the RDBMS having to support ANSI 92, you also have to tell BusinessObjects XI to generate queries using SQL 92 syntax For example, the preceding outer join is in SQL 1 syntax SQL 92 syntax is as follows:

Show("Initial content of setB: ", setB); setASymmetricExceptWith(setB); Show("setA after Symmetric difference with SetB: ", setA); setAUnionWith(setB); Show("setA after union with setB: ", setA); setAExceptWith(setB); Show("setA after subtracting setB: ", setA); ConsoleWriteLine(); } }