Chapter 7. Data Generation, Manipulation, and Conversion
As I mentioned in the preface, this book strives to teach generic SQL techniques that can be applied across multiple database servers. This chapter, however, deals with the generation, conversion, and manipulation of string, numeric, and temporal data, and the SQL language does not include commands covering this functionality. Rather, built-in functions are used to facilitate data generation, conversion, and manipulation, and while the SQL standard does specify some functions, the database vendors often do not comply with the function specifications.
Therefore, my approach for this chapter is to show you some of the common ways in which data is generated and manipulated within SQL statements and then demonstrate some of the built-in functions implemented by Microsoft SQL Server, Oracle Database, and MySQL. Along with reading this chapter, I strongly recommend you download a reference guide covering all the functions implemented by your server. If you work with more than one database server, there are several reference guides that cover multiple servers, such as Kevin Kline et al.’s SQL in a Nutshell and Jonathan Gennick’s SQL Pocket Guide, both from O’Reilly.
Working with String Data
When working with string data, you will be using one of the following character data types:
CHAR
-
Holds fixed-length, blank-padded strings. MySQL allows
CHAR
values up to 255 characters in length, Oracle Database permits up to 2,000 characters, ...
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