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SQL is based on the relational data model that organizes the data in a database as a collection of tables: I Each table has a table name that uniquely identifies it. I Each table has one or more named columns, which are arranged in a specific, left-to-right order. I Each table has zero or more rows, each containing a single data value in each column. The rows are unordered. I All data values in a given column have the same data type, and are drawn from a set of legal values called the domain of the column. Tables are related to one another by the data they contain. The relational data model uses primary keys and foreign keys to represent these relationships among tables: I A primary key is a column or combination of columns in a table whose value(s) uniquely identify each row of the table. A table has only one primary key. I A foreign key is a column or combination of columns in a table whose value(s) are a primary key value for some other table. A table can contain more than one foreign key, linking it to one or more other tables. I A primary key/foreign key combination creates a parent/child relationship between the tables that contain them.

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One of the major differences between the relational model and earlier data models is that explicit pointers, such as the parent/child relationships of a hierarchical database, are banned from relational databases. Yet obviously these relationships exist in a relational database. For example, in the sample database, each of the salespeople is assigned to a particular sales office, so there is an obvious relationship between the rows of the OFFICES table and the rows of the SALESREPS table. Doesn't the relational model "lose information" by banning these relationships from the database As shown in Figure 4-9, the answer to the question is "no." The figure shows a close-up of a few rows of the OFFICES and SALESREPS tables. Note that the REP_OFFICE column of the SALESREPS table contains the office number of the sales office where each salesperson works. The domain of this column (the set of legal values it may contain) is precisely the set of office numbers found in the OFFICE column of the OFFICES table. In fact, you can find the sales office where Mary Jones works by finding the value in Mary's REP_OFFICE column (11) and finding the row of the OFFICES table that has a matching value in the OFFICE column (in the row for the New York office). Similarly, to find all the salespeople who work in New York, you could note the OFFICE value for the New York row (11) and then scan down the REP_OFFICE column of the SALESREPS table looking for matching values (in the rows for Mary Jones and Sam Clark).

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However, there must be at least one language whose statements are expressible, per some well-defined syntax, as character strings, and that is comprehensive in supporting all of the following items: Data definition View definition Data manipulation (interactive and by program) Integrity constraints Authorization Transaction boundaries (begin, commit, and rollback).

Queries are the heart of the SQL language, and many people use SQL as a database query tool. The next five chapters describe SQL queries in depth. 5 describes the basic SQL language structures that you use to form SQL statements. 6 discusses simple queries that draw data from a single table of data. 7 expands the discussion to multitable queries. Queries that summarize data are described in 8. Finally, 9 explains the SQL subquery capability that is used to handle complex queries.

Part I:


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As described throughout the earlier parts of this chapter, the SQL1 standard provides a subquery capability for expressing more complex database queries. The subquery takes the same form as a SQL query (that is, a SELECT statement), but a SQL1 subquery must be scalar-valued that is, it must produce a single data value as its query results. The value generated by the subquery is then used as part of an expression within the main SQL statement that contains the subquery. This use of subqueries is supported by the major enterprise-class relational database systems today. Subsequent versions of the SQL standard dramatically expand the subquery facility, including support for row-valued subqueries. A row-valued subquery returns not just a single data item, but a row of data items, which can be used in SQL expressions and compared

his chapter begins a detailed description of the features of SQL. It describes the basic structure of a SQL statement and the basic elements of the language, such as keywords, data types, and expressions. The way that SQL handles missing data through NULL values is also described. Although these are basic features of SQL, there are some subtle differences in the way they are implemented by various popular SQL products, and in many cases, the SQL products provide significant extensions to the capabilities specified in the ANSI/ISO SQL standard. These differences and extensions are also described in this chapter.

Part II:

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asp.net ean 13

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