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In this chapter we ll introduce recipes for working with your data at a higher level, where grouping, summaries, and the bigger picture are important. Many of the recipes we ll explore cover common or tricky reporting scenarios, the kind you encounter in a business or professional setting. Most organizations ask for reports about who sold what to whom, how many people, sales, or activities happened in a given time frame, trends across regions or customer groups, and the like. Many people are familiar with some of the basic methods Oracle provides for performing summaries and aggregates. But often developers and DBAs will try to execute more complex calculations in their applications and tie themselves in knots. You can spot this in your own work if you see any combination of duplicating database capabilities in code, shuffling temporary data and results around needlessly, and similar less-than-efficient tasks. Oracle is exploding with this kind of functionality now, especially with the introduction of On-Line Analytical Processing capabilities (OLAP) over the last few major versions. After you ve explored these recipes for summarizing and aggregating data, you ll realize that Oracle is the number one tool at your disposal to satisfy a huge range of reporting and other requirements.
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C# tutorial: Add annotations to an existing PDF
To add the text annotation to the PDF document, you need to create an instance of PdfReader class to read pages from the PDF source file. Then create an instance of the PdfStamper class. Then use the AddAnnotation method of the PdfStamper class. This method has two arguments: the PdfAnnotation object and page number.
The monop command-line utility provides an outline view of the classes defined within your Mono application.
You need to summarize data in a column in some way. For example, you have been asked to report on the average salary paid per employee, as well as the total salary budget, number of employees, highest and lowest earners, and more.
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Sometimes it helps to create illustrative code samples that can be copied and easily modified for the purposes of a first-time evaluator of an API. If they cover the most frequent usages of the API, they increase the chance that the initial encounter with the API will be pleasant. After that, coding can become more complicated, and potentially it might become necessary to read some documentation. That is acceptable. If someone invests his own time in experimenting with the API and successfully gets the job done, then the attitude toward the API is already positive. And in a positive mood it might seem more useful to spend some time reading documentation and discovering more hidden features the API provides, because it has already proved its usefulness. The empirical programming style is with us, and each API should be ready for this type of user. The more the API method names, class names, or grouping of methods support the creation of the right code, the greater is the likelihood that the empirical first-time user succeeds in using it and decides to learn more about it.
The ilasm command-line utility is an IL assembler, allowing you to write your Mono applications in IL. This is not one for the faint hearted!
You don t need to calculate a total and count the number of employees separately to determine the average salary. The AVG function calculates average salary for you, as shown in the next SELECT statement.
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