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By properly creating a bridge module that reflects the light between the old and the new star, you also preserve the investments made by people who once observed and still want to observe the old star Even though it s dying now, it shines its light and the speed of its extinguishing is completely customer-driven If customers observe it, it s still alive and delivering the light it promised at the time of its creation However, as soon as the last observers decide to switch their attention away from it, attracted by the light of its new replacement, the old API star can immediately vanish It might still lie around somewhere, but it s definitely behind the horizon of the users of that part of the API universe It s gradually moving into the darkness One day it might disappear completely, as if falling into a black hole.

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// Class that records the latest news headline public class NewsChannel { // Last news item (stops repeats) private string newsHeadline; // Event fired on a change of news public event NewsChangeEventHandler LatestNewsChange; // News property public string LatestNewsHeadline { // Set the news headline set { if (newsHeadline != value) { LatestNewsChange(value); newsHeadline= value; } } } }

While performing aggregation with various data, you need to include additional result columns on the same line that are not going to be grouped, without changing the degree of aggregation. For example, you need aggregate data on the longest and shortest serving employees in each department, together with more detail columns on those employees without having to included them in the GROUP BY clause.

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This coordinated death of an API, completely driven by its observers, is a way to marry the need for compatibility with the need for beauty The good news for all of us is that even in the API world there is a way to see a simultaneous prism of truth, beauty, and elegance..

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Use Oracle s analytic equivalents for functions like MAX and MIN, in conjunction with nested SELECT statements, to add additional detail to aggregate rows without affecting your degree of aggregation. Our recipe uses the HIRE_DATE for employees within each department, together with useful information like the employee s first and last name and employee identifier. The next SQL block shows the recipe for our particular problem, but can be utilized for every similar demand to return additional detail data combined with aggregation. select department_id, employee_id, first_name, last_name, case when hire_date = first_hire and hire_date = last_hire then 'Shortest and Longest Serving' when hire_date = first_hire then 'Longest Serving' when hire_date = last_hire then 'Shortest Serving' end Department_Tenure from ( select department_id, employee_id, first_name, last_name, hire_date, max(hire_date) over(partition by department_id) first_hire, min(hire_date) over(partition by department_id) last_hire from hr.employees ) Hire_Dates where hire_date in (first_hire, last_hire) order by department_id, department_tenure;

// A class representing somebody watching the channel public class NewsChannel_Watcher { private string _name; public NewsChannel_Watcher(NewsChannel nh, string name) { _name = name; nh.LatestNewsChange += new NewsChangeEventHandler(NewsChanged_Event); } // Event fires, show latest news private void NewsChanged_Event(string news) { Console.Out.WriteLine(_name + " is informed of " + news); } }

The results show the aggregation working as desired to return the correct determination of shortest and longest-serving employee, together with additional details about that employee. DEPARTMENT_ID ------------10 20 20 30 30 40 50 50 ... EMPLOYEE_ID ----------200 202 201 119 114 203 128 122 FIRST_NAME ----------Jennifer Pat Michael Karen Den Susan Steven Payam LAST_NAME --------Whalen Fay Hartstein Colmenares Raphaely Mavris Markle Kaufling DEPARTMENT_TENURE ---------------------------Shortest and Longest Serving Longest Serving Shortest Serving Longest Serving Shortest Serving Shortest and Longest Serving Longest Serving Shortest Serving

uccessful projects start small and are developed by a small, coherent group of people. They emerge as large projects where nobody controls everything. People no longer know each other, nor do they understand the area of code someone else is working on. Architects no longer touch the code. They rise a few levels above the keyboard to discuss the necessary changes in the next version of their product while playing golf with existing or future customers. In this setup, it s easy to completely lose track of what is going on. In fact, that is almost necessary. Nobody can understand the whole system. Cluelessness gradually increases. Despite that, it s necessary to produce a new release even in a loosely organized system. There is only one way to do so effectively: selectively choose the aspects of the project that are important and concentrate on those. To that end, this chapter outlines a few recipes that work reasonably well in the NetBeans project.

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