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CHAPTER 2 SQL Concepts
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13. SQL statements a. Begin with a command keyword b. End with a command keyword c. Begin with a delimiter such as a semicolon d. End with a delimiter such as a semicolon e. Begin with a left parenthesis 14. SQL language elements include a. Keywords b. Database object names c. Operators d. Constraints e. Constants 15. SQL language elements are separated with a. Commas b. Exactly one space c. One or more spaces d. New lines e. Underscores 16. Database object names may include a. Parentheses b. Underscores c. Numbers d. Letters e. Commas 17. SQL statements may be divided into the following categories: a. Data De nition Language (DDL) b. Data Selection Language (DSL) c. Data Replication Language (DRL) d. Data Control Language (DCL) e. Data Manipulation Language (DML)
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18. Data De nition Language (DDL) includes the following statements: a. SELECT b. INSERT c. CREATE d. ALTER e. DELETE 19. Data Query Language (DQL) includes the following statements: a. SELECT b. INSERT c. CREATE d. ALTER e. DELETE 20. Data Manipulation Language (DML) includes the following statements: a. SELECT b. INSERT c. CREATE d. ALTER e. DELETE
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This chapter introduces the SQL statements that are used to de ne and manage the database objects in a relational database. As already mentioned, the CREATE, ALTER, and DROP statements comprise a category of the SQL language called Data De nition Language (DDL). DDL is presented rst because you have to create the database objects before you can put any data into the database. However, if you would rather learn another category of SQL such as DQL or DML rst, the chapters are written so that you can skip ahead and come back to this chapter at a later time.
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Syntax Conventions Used in This
SQL DDL statements have more options than other SQL statements. For this reason, I have adopted the following conventions for presenting DDL statement syntax in this chapter: SQL keywords and reserved words are shown in uppercase type, such as CREATE TABLE. Information you are expected to supply when writing the statement is shown in italics, such as column_name. Optional items are enclosed in square brackets, such as [WITH TIME ZONE]. Choices from a list of possible items are separated by a vertical bar (the logical symbol for or ), such as TABLE | VIEW | INDEX. You will sometimes see a list of optional choices, such as [NULL | NOT NULL]. Group items that are explained or broken down further (usually following a description of a major statement type) are enclosed between a less than symbol and a greater than symbol, such as <column_speci cation>. An item that may be repeated is followed by an ellipse, such as [,<table_ constraint>...]. All other symbols, particularly commas and parentheses, are part of the required SQL syntax and therefore must be included as written.
Data Types
Before we explore the DDL statements themselves, you need to understand a bit more about how data is stored in table columns. As you will recall, a column is the smallest named unit of data that can be referenced in a relational database. Each column must be assigned a unique name and a data type. A data type is a category for the format of a particular column. Data types provide several valuable bene ts: Restricting the data in the column to characters that make sense for the data type (for example, all numeric digits, or only valid calendar dates). Providing a set of behaviors useful to the data user. For example, if you subtract a number from another number, you get a number as a result; but if you subtract a date from another date, you get the difference, in days, between the two dates as a result.
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