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MySQL Cookbook

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10.40 Exchanging Data Between MySQL and Microsoft Excel

10.40.1 Problem

You want to exchange information between MySQL and Excel.

10.40.2 Solution

Use utilities such as DBTools or MySQLFront. Or use Perl modules that read and write Excel spreadsheet files to construct your own data transfer utilities.

10.40.3 Discussion

One way to transfer Excel files into MySQL is to use the DBTools or MySQLFront utilities that were discussed in Recipe 10.39 for working with Access files. Both programs know how to read Excel files as well. But both are Windows-specific; for a more cross-platform solution that works for both Unix and Windows, you can read and write Excel spreadsheets from within Perl scripts by installing a few modules:

  • Spreadsheet::ParseExcel::Simple provides an easy-to-use interface for reading Excel spreadsheets.

  • Spreadsheet::WriteExcel::Simple allows you to create files in Excel spreadsheet format.

These modules are available from the Perl CPAN. (They're actually frontends to other modules, which you'll also need to install as prerequisites.) After installing the modules, use these commands to read their documentation:

% perldoc Spreadsheet::ParseExcel::Simple
% perldoc Spreadsheet::WriteExcel::Simple

These modules make it relatively easy to write a couple of short scripts (shown below) for converting spreadsheets to and from tab-delimited file format. Combined with techniques for importing and exporting data into and out of MySQL, these scripts can help you move spreadsheet contents to MySQL tables and vice versa. Use them as is, or adapt them to suit your own purposes.

The following script, from_excel.pl, reads an Excel spreadsheet and converts it to tab-delimited format:

#! /usr/bin/perl -w
# from_excel.pl - read Excel spreadsheet, write tab-delimited,
# linefeed-terminated output to the standard output.

use strict;
use Spreadsheet::ParseExcel::Simple;

@ARGV or die "Usage: $0 excel-file\n";

my $xls = Spreadsheet::ParseExcel::Simple->read ($ARGV[0]);
foreach my $sheet ($xls->sheets ( ))
{
    while ($sheet->has_data ( ))
    {
        my @data = $sheet->next_row ( );
        print join ("\t", @data) . "\n";
    }
}

exit (0);

The to_excel.pl script performs the converse operation of reading a tab-delimited file and writing it in Excel format:

#! /usr/bin/perl -w
# to_excel.pl - read tab-delimited, linefeed-terminated input, write
# Excel-format output to the standard output.

use strict;
use Spreadsheet::WriteExcel::Simple;

my $ss = Spreadsheet::WriteExcel::Simple->new ( );

while (<>)                              # read each row of input
{
    chomp;
    my @data = split (/\t/, $_, 10000); # split, preserving all fields
    $ss->write_row (\@data);            # write row to the spreadsheet
}

print $ss->data ( ); # write the spreadsheet

exit (0);

to_excel.pl assumes input in tab-delimited, linefeed-terminated format. Use it in conjunction with cvt_file.pl to work with files that are not in that format.

Another Excel-related Perl module, Spreadsheet::WriteExcel::FromDB, reads data from a table using a DBI connection and writes it in Excel format. Here's a short script that exports a MySQL table as an Excel spreadsheet:

#! /usr/bin/perl -w
# mysql_to_excel.pl - given a database and table name,
# dump the table to the standard output in Excel format.

use strict;
use DBI;
use Spreadsheet::ParseExcel::Simple;
use Spreadsheet::WriteExcel::FromDB;

# ... process command-line options (not shown) ...

@ARGV == 2 or die "Usage: $0 [options] db_name tbl_name\n";
my $db_name = shift (@ARGV);
my $tbl_name = shift (@ARGV);

# ... connect to database (not shown) ...

my $ss = Spreadsheet::WriteExcel::FromDB->read ($dbh, $tbl_name);
print $ss->as_xls ( );

exit (0);

Each of the three utilities writes to its standard output, which you can redirect to capture the results in a file:

% from_excel.pl data.xls > data.txt
% to_excel.pl data.txt > data.xls
% mysql_to_excel.pl cookbook profile > profile.xls
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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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