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select avg(salary), sum(salary)/count(salary) from hremployees; AVG(SALARY) SUM(SALARY)/COUNT(SALARY) ----------- ------------------------647336449 647336449 It s pleasing to know Oracle gets this right To complete the picture on Oracle s aggregation capabilities, we need to consider what happens when our data includes NULL data Our current recipe aggregates employee s salaries, and it so happens that every employee has a salary But only sales people have a commission for their sales efforts, reflected in the HREMPLOYEES table by a value in the COMMISSION_PCT Non-sales staff have no commission, reflected by a NULL value in COMMISSION_PCT So what happens when we try to average or count the COMMISSION_PCT values The next SQL statement shows both of these aggregates select count(commission_pct), avg(commission_pct) from hremployees; COUNT(COMMISSION_PCT) AVG(COMMISSION_PCT) --------------------- ------------------38 .

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The first thing to do to make an API more immutable is to remove all setters. Indeed, a setter is a way to set a field of an object, which effectively destroys its previous state. Instead, all fields need to be provided at the time of creation. That can work well. However, sometimes it might become impractical, at which point a cloning factory can be useful: AServerInfo empty = AServerInfo.empty(); AServerInfo name = empty.nameProvider(prov); AServerInfo urlAndName = name.urlProvider(prov); info = urlAndName.reset(prov); This style always creates a clone of the previous object, with one field differing from the original. This is an immutable version of setters and in some sense it can also be a more compressed version, because you can turn all the calls into a one-liner: inf = AServerInfo.empty().nameProvider(p).urlProvider(p).reset(p);

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225 Even though we saw 107 employees with a salary, the COUNT function has ignored all NULL values for COMMISSION_PCT, tallying only the 38 employees with a commission Equally, when calculating the average for the employees commissions, Oracle has again only considered those rows with a real value, ignoring the NULL entries There are only two special cases where Oracle considers NULL values in aggregate functions The first is the GROUPING function, used to test if the results of an analytic function that includes NULL values generated those values directly from rows in the underlying table or as a final aggregate NULL set from the analytic calculation The second special case is the COUNT(*)function Because the asterisk implies all columns within the table, Oracle handles the counting of rows independently of any of the actual data values, treating NULL and normal values alike in this case.

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The only drawback compared to setters is that this call appears to create two new objects that are used only as templates for cloning, and they can immediately disappear. Although this might not be well-performing enough for real-time applications, the Java garbage collector is so good that the temporary creation of an object should not influence anything. Moreover, should this programming style become more common, there is room for optimization in the virtual machine, as described in the sidebar Unique Types and Escape Analysis.

To illustrate, the next SQL statement shows the difference between COUNT(*) and COUNT(COMMISSION_PCT) side by side select count(*), count(commission_pct) from hremployees; COUNT(*) COUNT(COMMISSION_PCT) ---------- --------------------107 38 Our use of COUNT(*) tallies all rows in the table, whereas COUNT(COMMISSION_PCT) counts only the non-NULL values for COMMISSION_PCT..

In this chapter, I introduced a comprehensive but user-friendly IDE in the form of MonoDevelop and touched on some of the other IDEs on the market such as Eclipse. These allow you to build enterprise-class applications but in a more user-friendly and productive environment. I also introduced some of the development tools provided as part of the core Mono environment. I encourage you to use these throughout the book, as it will improve your productivity, even though you can build all the applications presented throughout this book using the commandline tools. The next two chapters will introduce the C# language, which is the default programming language used throughout this book and one of the most common in the industry. This will provide the foundation necessary to start building the book s project application, the RSS aggregator.

If you are using Oracle Database 11g or higher, you can partition on a virtual column. Here is a sample script that creates a table named EMP with a virtual column of COMMISSION and a corresponding range partition for the virtual column: create table emp ( emp_id number ,salary number ,comm_pct number ,commission generated always as (salary*comm_pct) ) partition by range(commission) (partition p1 values less than (1000) ,partition p2 values less than (2000) ,partition p3 values less than (maxvalue));

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