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SQL: A Beginner s Guide
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For example, the SQL-92 standard provided three levels of conformance: entry, intermediate, and full. Most popular RDBMSs reached only entry-level conformance. Because of this, SQL:2006 takes a different approach to setting conformance standards. For a product to be in conformance with SQL:2006, it must support the Core SQL level of conformance. Core SQL in the SQL:2006 standard is defined as conformance to Part 2 (SQL/Foundation) and Part 11 (SQL/Schemata) of the standard. In addition to the Core SQL level of conformance, vendors can claim conformance to any other part by meeting the minimum conformance requirements for that part.
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You can view information about the SQL:2006 standard by purchasing a copy of the appropriate standard document(s) published by ANSI and ISO. The standard is divided into nine documents (one part per document). The first document (ANSI/ISO/IEC 9075-1:2003) includes an overview of all nine parts. The suffix of each document name contains the year of publication, and different parts have different publication years because parts are updated and published independently by different committees. As you can see in Table 1-1, Part 1 was last published in 2003, and in fact, only Part 14 carries a 2006 publication date all the other parts were last published in 2003. You can purchase these documents online at the ANSI Electronic Standards Store (http://webstore.ansi.org/), the NCITS Standards Store (http://www.techstreet.com/ ncitsgate.html), or the ISO Store (http://www.iso.org/iso/store.htm). On the ANSI site, note that there are two variants of each document with essentially identical content, named INCITS/ISO/IEC 9075 and ISO/IEC 9075. The ISO/IEC variants cost between $139 and $289 per document, while the INCITS/ISO/IEC variants cost only $30 per document. The ISO Store has the entire set of documents available on a convenient CD for 356 Swiss francs (about $350). Obviously, prices are subject to change at any time. Also available at no charge are corrections, called Technical Corrigenda. As shown in Table 1-1, three parts had corrections published in 2005, and six other parts had corrections published in 2007.
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Types of SQL Statements
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Although SQL is considered a sublanguage because of its nonprocedural nature, it is nonetheless a complete language in that it allows you to create and maintain database objects, secure those objects, and manipulate the data within the objects. One common method used to categorize SQL statements is to divide them according to the functions they perform. Based on this method, SQL can be separated into three types of statements:
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Data Definition Language (DDL) DDL statements are used to create, modify, or delete database objects such as tables, views, schemas, domains, triggers, and stored procedures. The SQL keywords most often associated with DDL statements are CREATE, ALTER, and DROP. For example, you would use the CREATE TABLE statement to create a table, the ALTER TABLE statement to modify the table s properties, and the DROP TABLE statement to delete the table definition from the database.
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Introduction to Relational Databases and SQL
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Data Control Language (DCL) DCL statements allow you to control who or what (a database user can be a person or an application program) has access to specific objects in your database. With DCL, you can grant or restrict access by using the GRANT or REVOKE statements, the two primary DCL commands. The DCL statements also allow you to control the type of access each user has to database objects. For example, you can determine which users can view a specific set of data and which users can manipulate that data. Data Manipulation Language (DML) DML statements are used to retrieve, add, modify, or delete data stored in your database objects. The primary keywords associated with DML statements are SELECT, INSERT, UPDATE, and DELETE, all of which represent the types of statements you ll probably be using the most. For example, you can use a SELECT statement to retrieve data from a table and an INSERT statement to add data to a table.
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Most SQL statements that you ll be using fall neatly into one of these categories, and I ll be discussing a number of these statements throughout the remainder of the book.
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