10.20.1 Problem
You want to pull out columns from a datafile or rearrange them into a different order.
10.20.2 Solution
Use a utility that can produce columns from a file on demand.
10.20.3 Discussion
cvt_file.pl serves as a tool that converts entire files from one format to another. Another common datafile operation is to manipulate its columns. This is necessary, for example, when importing a file into a program that doesn't understand how to extract or rearrange input columns for itself. Perhaps you want to omit columns from the middle of a file so you can use it with LOAD DATA, which cannot skip over columns in the middle of data lines. Or perhaps you have a version of mysqlimport older than 3.23.17, which doesn't support the --columns option that allows you to indicate the order in which table columns appear in the file. To work around these problems, you can rearrange the datafile instead.
Recall that this chapter began with a description of a scenario involving a 12-column CSV file somedata.csv from which only columns 2, 11, 5, and 9 were needed. You can convert the file to tab-delimited format like this:
% cvt_file.pl --iformat=csv somedata.csv > somedata.txt
But then what? If you just want to knock out a short script to extract those specific four columns, that's fairly easy: write a loop that reads input lines and writes only the columns you want in the proper order. Assuming input in tab-delimited, linefeed-terminated format, a simple Perl program to pull out the four columns can be written like this:
#! /usr/bin/perl -w # yank_4col.pl - 4-column extraction example # Extracts column 2, 11, 5, and 9 from 12-column input, in that order. # Assumes tab-delimited, linefeed-terminated input lines. use strict; while (<>) { chomp; my @in = split (/ /, $_); # split at tabs # extract columns 2, 11, 5, and 9 print join (" ", $in[1], $in[10], $in[4], $in[8]) . " "; } exit (0);
Run the script as follows to read the file containing 12 data columns and write output that contains only the four columns in the desired order:
% yank_4col.pl somedata.txt > tmp
But yank_4col.pl is a special purpose script, useful only within a highly limited context. With just a little more work, it's possible to write a more general utility yank_col.pl that allows any set of columns to be extracted. With such a tool, you'd specify the column list on the command line like this:
% yank_col.pl --columns=2,11,5,9 somedata.txt > tmp
Because the script doesn't use a hardcoded column list, it can be used to pull out an arbitrary set of columns in any order. Columns can be specified as a comma-separated list of column numbers or column ranges. (For example, --columns=1,4-7,10 means columns 1, 4, 5, 6, 7, and 10.) yank_col.pl looks like this:
#! /usr/bin/perl -w # yank_col.pl - extract columns from input # Example: yank_col.pl --columns=2,11,5,9 filename # Assumes tab-delimited, linefeed-terminated input lines. use strict; use Getopt::Long; $Getopt::Long::ignorecase = 0; # options are case sensitive my $prog = "yank_col.pl"; my $usage = < $help, # print help message "columns=s" => $columns # specify column list ) or die "$usage "; die "$usage " if defined $help; my @col_list = split (/,/, $columns) if defined ($columns); @col_list or die "$usage "; # nonempty column list is required # make sure column specifiers are positive integers, and convert from # 1-based to 0-based values my @tmp; for (my $i = 0; $i < @col_list; $i++) { if ($col_list[$i] =~ /^d+$/) # single column number { die "Column specifier $col_list[$i] is not a positive integer " unless $col_list[$i] > 0; push (@tmp, $col_list[$i] - 1); } elsif ($col_list[$i] =~ /^(d+)-(d+)$/) # column range m-n { my ($begin, $end) = ($1, $2); die "$col_list[$i] is not a valid column specifier " unless $begin > 0 && $end > 0 && $begin <= $end; while ($begin <= $end) { push (@tmp, $begin - 1); ++$begin; } } else { die "$col_list[$i] is not a valid column specifier "; } } @col_list = @tmp; while (<>) # read input { chomp; my @val = split (/ /, $_, 10000); # split, preserving all fields # extract desired columns, mapping undef to empty string (can # occur if an index exceeds number of columns present in line) @val = map { defined ($_) ? $_ : "" } @val[@col_list]; print join (" ", @val) . " "; } exit (0);
The input processing loop converts each line to an array of values, then pulls out from the array the values corresponding to the requested columns. To avoid looping though the array, it uses Perl's notation that allows a list of subscripts to be specified all at once to request multiple array elements. For example, if @col_list contains the values 2, 6, and 3, these two expressions are equivalent:
($val[2] , $val[6], $val[3]) @val[@col_list]
What if you want to extract columns from a file that's not in tab-delimited format, or produce output in another format? In that case, combine yank_col.pl with cvt_file.pl. Suppose you want to pull out all but the password column from the colon-delimited /etc/passwd file and write the result in CSV format. Use cvt_file.pl both to preprocess /etc/passwd into tab-delimited format for yank_col.pl and to post-process the extracted columns into CSV format:
% cvt_file.pl --idelim=":" /etc/passwd | yank_col.pl --columns=1,3-7 | cvt_file.pl --oformat=csv > passwd.csv
If you don't want to type all of that as one long command, use temporary files for the intermediate steps:
% cvt_file.pl --idelim=":" /etc/passwd > tmp1 % yank_col.pl --columns=1,3-7 tmp1 > tmp2 % cvt_file.pl --oformat=csv tmp2 > passwd.csv % rm tmp1 tmp2
Using the mysql Client Program
Writing MySQL-Based Programs
Record Selection Techniques
Working with Strings
Working with Dates and Times
Sorting Query Results
Generating Summaries
Modifying Tables with ALTER TABLE
Obtaining and Using Metadata
Importing and Exporting Data
Generating and Using Sequences
Using Multiple Tables
Statistical Techniques
Handling Duplicates
Performing Transactions
Introduction to MySQL on the Web
Incorporating Query Resultsinto Web Pages
Processing Web Input with MySQL
Using MySQL-Based Web Session Management
Appendix A. Obtaining MySQL Software
Appendix B. JSP and Tomcat Primer
Appendix C. References