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10.30 Converting Two-Digit Year Values to Four-Digit Form

10.30.1 Problem

You need to convert years in date values from two digits to four digits.

10.30.2 Solution

Let MySQL do this for you. If MySQL's conversion rules aren't appropriate, perform the operation yourself.

10.30.3 Discussion

Two-digit year values are a problem because the century is not explicit in the data values. If you know the range of years spanned by your input, you can add the century without ambiguity. Otherwise, you can only guess. For example, the date 2/10/69 probably would be interpreted by most people in the U.S. as as October 2, 1969. But if it represents Mahatma Gandhi's birth date, the year actually is 1869.

One way to convert years to four digits is to let MySQL do it. If you store a date containing a two-digit year, MySQL automatically converts it to four-digit form. MySQL uses a transition point of 1970; it interprets values from 00 to 69 as the years 2000 to 2069, and values from 70 to 99 as the years 1970 to 1999. These rules are appropriate for year values in the range from 1970 to 2069. If your values lie outside this range, you should add the proper century yourself before storing them into MySQL.

To use a different transition point, convert years to four-digit form yourself. A general purpose routine to convert two-digit years to four digits and to allow an arbitrary transition point can be written like this:

sub yy_to_ccyy
{
my ($year, $transition_point) = @_;

    $transition_point = 70 unless defined ($transition_point);
    $year += ($year >= $transition_point ? 1900 : 2000) if $year < 100;
    return ($year);
}

The function uses MySQL's transition point (70) by default. An optional second argument may be given to provide a different transition point. yy_to_ccyy( ) also makes sure the year actually needs converting (is less than 100) before modifying it. That way you can pass year values that do or don't include the century without checking first. Some sample invocations using the default transition point have the following results:

$val = yy_to_ccyy (60);         # returns 2060
$val = yy_to_ccyy (1960);       # returns 1960 (no conversion done)

But suppose you want to convert year values as follows, using a transition point of 50:

00 .. 49 -> 2000 .. 2049
50 .. 99 -> 1950 .. 1999

To do this, pass an explicit transition point argument to yy_to_ccyy( ):

$val = yy_to_ccyy (60, 50);     # returns 1960
$val = yy_to_ccyy (1960, 50);   # returns 1960 (no conversion done)

The yy_to_ccyy( ) function is one of those included in the Cookbook_Utils.pm library file.

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         Main Menu
    Main Page
    Table of content
    Copyright
    Preface
    Chapter 1. Using the mysql Client Program
    Chapter 2. Writing MySQL-Based Programs
    Chapter 3. Record Selection Techniques
    Chapter 4. Working with Strings
    Chapter 5. Working with Dates and Times
    Chapter 6. Sorting Query Results
    Chapter 7. Generating Summaries
    Chapter 8. Modifying Tables with ALTER TABLE
    Chapter 9. Obtaining and Using Metadata
    Chapter 10. Importing and Exporting Data
    10.1 Introduction
    10.2 Importing Data with LOAD DATA and mysqlimport
    10.3 Specifying the Datafile Location
    10.4 Specifying the Datafile Format
    10.5 Dealing with Quotes and Special Characters
    10.6 Importing CSV Files
    10.7 Reading Files from Different Operating Systems
    10.8 Handling Duplicate Index Values
    10.9 Getting LOAD DATA to Cough Up More Information
    10.10 Don't Assume LOAD DATA Knows More than It Does
    10.11 Skipping Datafile Lines
    10.12 Specifying Input Column Order
    10.13 Skipping Datafile Columns
    10.14 Exporting Query Results from MySQL
    10.15 Exporting Tables as Raw Data
    10.16 Exporting Table Contents or Definitions in SQL Format
    10.17 Copying Tables or Databases to Another Server
    10.18 Writing Your Own Export Programs
    10.19 Converting Datafiles from One Format to Another
    10.20 Extracting and Rearranging Datafile Columns
    10.21 Validating and Transforming Data
    10.22 Validation by Direct Comparison
    10.23 Validation by Pattern Matching
    10.24 Using Patterns to Match Broad Content Types
    10.25 Using Patterns to Match Numeric Values
    10.26 Using Patterns to Match Dates or Times
    10.27 Using Patterns to Match Email Addresses and URLs
    10.28 Validation Using Table Metadata
    10.29 Validation Using a Lookup Table
    10.30 Converting Two-Digit Year Values to Four-Digit Form
    10.31 Performing Validity Checking on Date or Time Subparts
    10.32 Writing Date-Processing Utilities
    10.33 Using Dates with Missing Components
    10.34 Performing Date Conversion Using SQL
    10.35 Using Temporary Tables for Data Transformation
    10.36 Dealing with NULL Values
    10.37 Guessing Table Structure from a Datafile
    10.38 A LOAD DATA Diagnostic Utility
    10.39 Exchanging Data Between MySQL and Microsoft Access
    10.40 Exchanging Data Between MySQL and Microsoft Excel
    10.41 Exchanging Data Between MySQL and FileMaker Pro
    10.42 Exporting Query Results as XML
    10.43 Importing XML into MySQL
    10.44 Epilog
    Chapter 11. Generating and Using Sequences
    Chapter 12. Using Multiple Tables
    Chapter 13. Statistical Techniques
    Chapter 14. Handling Duplicates
    Chapter 15. Performing Transactions
    Chapter 16. Introduction to MySQL on the Web
    Chapter 17. Incorporating Query Resultsinto Web Pages
    Chapter 18. Processing Web Input with MySQL
    Chapter 19. Using MySQL-Based Web Session Management
    Appendix A. Obtaining MySQL Software
    Appendix B. JSP and Tomcat Primer
    Appendix C. References
    Colophone
    Index


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