MySQL Cookbook

Epilog

Recall the scenario with which this chapter began:

Suppose you have a file named somedata.csv that contains 12 columns of data in comma-separated values (CSV) format. From this file you want to extract only columns 2, 11, 5, and 9, and use them to create database records in a MySQL table that contains name, birth, height, and weight columns. You need to make sure that the height and weight are positive integers, and convert the birth dates from MM/DD/YY format to CCYY-MM-DD format. How can you do this?

So ... how would you do that, based on the techniques discussed in this chapter?

Much of the work can be done using the utility programs developed here. You can convert the file to tab-delimited format with cvt_file.pl, extract the columns in the desired order with yank_col.pl, and rewrite the date column to ISO format with cvt_date.pl:

% cvt_file.pl --iformat=csv somedata.csv \
    | yank_col.pl --columns=2,11,5,9 \
    | cvt_date.pl --columns=2 --iformat=us --add-century > tmp

The resulting file, tmp, will have four columns representing the name, birth, height, and weight values, in that order. It needs only to have its height and weight columns checked to make sure they contain positive integers. Using the is_positive_integer( ) library function from the Cookbook_Utils.pm module file, that task can be achieved using a short special-purpose script that isn’t much more than an input loop:

#! /usr/bin/perl -w # validate_htwt.pl - height/weight validation example # Assumes tab-delimited, ...