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DATABASE ARTICLES

The Basics of Data Structures in Oracle
By: O'Reilly Media
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    2008-02-28

    Table of Contents:
  • The Basics of Data Structures in Oracle
  • NULLs
  • Basic Data Structures
  • Indexes

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    The Basics of Data Structures in Oracle


    (Page 1 of 4 )

    In this second part of a six-part series on Oracle data structures, you will learn about type conversion, the use of nulls, indexes, and more. This article is excerpted from chapter four of the book Oracle Essentials, Fourth Edition Oracle Database 11g, written by Rick Greenwald, Robert Stackowiak, and Jonathan Stern (O'Reilly, 2007; ISBN: 0596514549). Copyright © 2007 O'Reilly Media, Inc. All rights reserved. Used with permission from the publisher. Available from booksellers or direct from O'Reilly Media.

    Type Conversion

    Oracle automatically converts some datatypes to other datatypes, depending on the SQL syntax in which the value occurs.

    When you assign a character value to a numeric datatype, Oracle performs an implicit conversion of the ASCII value represented by the character string into a number. For instance, assigning a character value such as 10 to a NUMBER column results in an automatic data conversion.

    If you attempt to assign an alphabetic value to a numeric datatype, you will end up with an unexpected (and invalid) numeric value, so you should make sure that you’re assigning values appropriately.

    You can also perform explicit conversions on data, using a variety of conversion functions available with Oracle. Explicit data conversions are better to use if a conversion is anticipated, because they document the conversion and avoid the possibility of going unnoticed, as implicit conversions sometimes do.

    Concatenation and Comparisons

    The concatenation operator for Oracle SQL on most platforms is two vertical lines (||). Concatenation is performed with two character values. Oracle’s automatic type conversion allows you to seemingly concatenate two numeric values. If NUM1 is a numeric column with a value of 1, NUM2 is a numeric column with a value of 2, and NUM3 is a numeric column with a value of 3, the following expressions are TRUE:

      NUM1 || NUM2 || NUM3 = "123"
      NUM1 || NUM2 + NUM3 = "15" (12 + 3)
      NUM1 + NUM2 || NUM3 = "33" (1+ 2 || 3)

    The result for each of these expressions is a character string, but that character string can be automatically converted back to a numeric column for further calculations.

    Comparisons between values of the same datatype work as you would expect. For example, a date that occurs later in time is larger than an earlier date, and 0 or any positive number is larger than any negative number. You can use relational operators to compare numeric values or date values. For character values, comparisons of single characters are based on the underlying code pages for the characters. For multicharacter strings, comparisons are made until the first character that differs between the two strings appears.

    If two character strings of different lengths are compared, Oracle uses two different types of comparison semantics: blank-padded comparisons and nonpadded comparisons. For a blank-padded comparison, the shorter string is padded with blanks and the comparison operates as previously described. For nonpadded comparisons, if both strings are identical for the length of the shorter string, the shorter string is identified as smaller. For example, in a blank-padded comparison the string “A ” (a capital A followed by a blank) and the string “A” (a capital A by itself) would be seen as equal, because the second value would be padded with a blank. In a nonpadded comparison, the second string would be identified as smaller because it is shorter than the first string. Nonpadded comparisons are used for comparisons in which one or both of the values are VARCHAR2 or NVARCHAR2 datatypes, while blank-padded comparisons are used when neither of the values is one of these datatypes.

    Oracle Database 10g and later releases include a feature called the Expression Filter, which allows you to store a complex comparison expression as part of a row. You can use the EVALUATE function to limit queries based on the evaluation of the expression. The Expression Filter uses regular expressions, which are described later in this chapter.

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       · This article is an excerpt from the book "Oracle Essentials, Fourth Edition Oracle...
     

    Buy this book now. This article is excerpted from chapter four of the book Oracle Essentials, Fourth Edition Oracle Database 11g, written by Rick Greenwald, Robert Stackowiak, and Jonathan Stern (O'Reilly, 2007; ISBN: 0596514549). Check it out today at your favorite bookstore. Buy this book now.

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