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Note in this example that you also manage to keep track of the field names and sizes by recording this information into keys within the database This makes the format of the database and its contents completely database defined Also note that I ve used a prefix in the base keys Although it s relatively useless here, it can be useful if you want to store multiple tables within a single database file Each table has its own name and, in turn, its own pack string, field list, and sequence There is still a problem with this particular solution It is even more wasteful of space than a flat text file using fixed-length records This is because of the internal storage method used for DBM databases and the problems associated with fixed-length records In this example, every record will take up at least 60 bytes A more complex record structure will take up significantly more Of course, Perl allows you to do more than just use simple key/value pairs In 10 we looked at the complex data structures you can create to model information using nested Perl variables, such as hashes of hashes and arrays of hashes Unfortunately, you cannot use normal DBM implementations to create nested hashes of hashes and hashes of arrays If we return to our first solution, we can expand it by using a hash of hashes to store the data in a more structured format:

13:

foreach (sort keys %db) { foreach $field (sort keys %{$db{$_}}) { print "$_: $field: $db{$_}{$field}\n"; } } untie %db || die "Can't close DB File, $!" PROGRAMMING WITH PERL

What is the result A {f=frank, j=john} {f=frank} B {f=frank, j=john} {m=mary, f=frank} C ex {f=frank, j=john} {f=frank} D {f=frank, j=john, m=mary} {m=mary, j=john, f=frank} E ex {f=frank, j=john, m=mary} {f=frank} F ex {f=frank, j=john, m=mary} {f=frank, a=amy} G {a=amy, f=frank, j=john, m=mary} {f=frank, a=amy} H Compilation fails due to error(s) in the code

However, the MLDBM module by Gurusamy Sarathay (available from CPAN) uses existing DBM modules and the Data::Dumper module to convert such complex references into a simple format that can be stored within an ordinary hash file It implements the same basic idea, using the tie function to associate a hash with a hash file the MLDBM object handles all of the complexity for you:

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use use use tie GDBM_File; MLDBM qw(GDBM_File); Fcntl; (%db, 'MLDBM', 'Test_MLDBM', O_CREAT|O_RDWR, 0644) || die $!;

This overcomes all the previous problems The data is stored in a structured format, which can be accessed simply using standard hash techniques Furthermore, the storage space used for this system is significantly lower than the fixed-length database example shown earlier The storage space is still slightly higher than the delimited system, due to the use of a secondary level key, but it overcomes the problem of choosing a suitable delimiter

Answer (for Objective 73): A is correct The Kaput object referred to by k1 has a Kaput object, and that object s degree variable is updated, but the original Kaput object s degree variable is not updated B, C, D, and E are incorrect based on the above

The relational element of a relational database that most people think of is actually the automatic lookup of information When you report from a database that is composed of many tables, you can choose to print out the merged information from all of the linked tables in order to produce the desired set of results The clever bit is the linking between the individual tables, and this is something that is actually possible to do manually using any database system text, DBM, or otherwise With DBM, you have the advantage over text databases of convenient random access, which is the only practical way of achieving a flat relational system You can model relational data in any database system The only requirement for using it is that you are able to access all of the tables simultaneously The actual method of linking between the tables can be done automatically or manually With the

As we ve already seen, pos can also be used as lvalue to set the position within an expression:

pos($string) = 12;

34 Given:

This is useful if you are using the \G assertion within your regular expressions and want to explicitly set (or reset) the starting point

In Table 8-7 you should have noticed the \Q sequence, which prevented the regular expression engine from interpreting metacharacters or sequences as special values within a regular expression This effect is actually achieved by the general Perl function quotemeta:

Convert the date to a UNIX timestamp, express the time interval in seconds, and add (subtract) the interval to (from) the timestamp:

The function replaces any nonalphanumeric (not matching [a-zA-Z0-9]) character with a backslash version For example, this string

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