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To manipulate data, you need operators that can be applied to that data. Multiplication and addition are typical examples of operators in mathematics; you specify two numbers as input, and the operator produces one output value as a result. Multiplication and addition are examples of closed operators, because they produce things of the same type you provided as input (numbers). For example, for integers, addition is closed. Add any two integers, and you get another integer. Try it you can t find two integers that add up to a noninteger. However, division over the integers is not closed; for example, 1 divided by 2 is not an integer. Closure is a nice operator property, because it allows you to (re)use the operator results as input for a next operator. In a database environment, you need operators to derive information from the data stored in the database. In an RDBMS environment, all operators should operate at a high logical level. This means, among other things, that they should not operate on individual rows, but rather on tables, and that the results of these operators should be tables, too. Because tables are defined as sets of rows, relational operators should operate on sets. That s why some operators from the classical set theory such as the union, the difference, and the intersection also show up as relational operators. See Figure 1-3 for an illustration of these three set operators.



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Figure 1-3. The three most common set operators Along with these generic operators from set theory that can be applied to any sets, there are some additional relational operators specifically meant to operate on tables. You can define as many relational operators as you like, but, in general, most of these operators can be reduced to (or built with) a limited number of basic relational operators. The most common relational operators are the following: Restriction: This operator results in a subset of the rows of the input table, based on a specified restriction condition. This operator is also referred to as selection.

In this walkthrough, you will prepare a package for your application to submit to Windows Phone Marketplace and learn about the steps involved in successfully publishing an application to the marketplace, beginning with the creation of an XAP file. Let s get started.





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Mar 18, 2019 · Optical Character Recognition, often abbreviated as OCR is the way of converting typed or handwritten text into a form that machine can understand.​ ... Let’s have a look at the Top 10 Best OCR Software Windows/Mac2019.​ ... FineReader is an OCR Software that is used both by Windows and Mac ...

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18 Apr 2019 ... Do you have a PDF document, but the text isn't searchable? You can change that with optical character recognition ( OCR ) software . Read on ...

Queries can contain zero or more filters specifying a field name, an operator, and a value. Values cannot refer to another property or be calculated in terms of other properties. Your application must provide the values for the filters. JDOQL supports only the following filter operators: <, <=, ==, >=, and >. When using the JDOQL string syntax, you can only use && (logical and ) to separate your filters. The datastore does not support other combinations (for example, or , not ). Another restriction for queries pertains to inequality filters. You must not construct your queries to contain inequality filters on more than one property. However, the same property may contain multiple inequality filters, as shown in this example. qry.setFilter("countryName == 'USA' && stateName == stateName"); qry.declareParameters("String stateName");

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As promised in the introduction of this book, this final chapter discusses some object-relational features of the Oracle DBMS. For a proper understanding and appreciation of object-relational database features in general, you should consider those features in the context of an object-oriented development environment. Because this book is devoted to Oracle SQL, this chapter focuses on the consequences of these object-relational features for the SQL language. The first step in setting up an object-relational environment is the definition of the appropriate collection of object types and methods. Once you have defined your object types, you can use them to create object tables, thus creating a truly object-relational environment. You can also use object views to create an object-relational layer on top of standard relational environments. This chapter mainly uses object types as a starting point for creating user-defined datatypes, and then using those datatypes in relational table structures. Along with regular user-defined datatypes, there are two special user-defined datatypes, also referred to as collection types because they are multivalued: variable arrays and nested tables. The first four sections of this chapter cover collection types and user-defined datatypes. Section 12.5 introduces the ANSI/ISO standard multiset operators, which allow you to perform various sophisticated operations with nested tables. Note that the PL/SQL language normally plays an important role in creating an object-relational environment. PL/SQL is the programming language you need in the definition phase of such an environment. Because PL/SQL is not covered in this book, we assume some basic knowledge of this language.

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