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The slow query log is telling me that in order to locate my ten records and send them to me, it had to read 123,675 records from the articles table (the entire contents of the database table), and given that the page size of an article record is quite large because it contains all the article text too, that is clearly a lot of data to read from the disk. In fact, in our particular case, it amounts to almost 400MB of data in that table alone. Normally you would use the slow query log file to find the queries that were causing problems; in this case, we had already spotted the problem or had the problem reported to us, and used the log to confirm our suspicions. In the next section, we will use some tools built into MySQL to work out why the query is so slow and determine how we can correct for it.

gethostaddr getnetbyaddr getservbyport getprotobynumber*

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Perl s versions of these functions are smart and pay attention to the contexts in which they are called. If called in a scalar context, they return the name of the host, network, service, or protocol. For example: # find the service assigned to port 80 (it should be 'http') my $protocol = getprotobyname('tcp'); my $servicename = getservbyport(80, $protocol); The only exception to this is the -name functions, which return the other logical value for the network information being queried the IP address for hosts and networks, the port number for services, and the protocol number for protocols: # find out what port this system has 'http' assigned to my $httpd_port = getservbyname('http', $protocol); Called in a list context, each function returns a list of values that varies according to the type of information requested. We can process this list directly, for example: #!/usr/bin/perl # listserv.pl use warnings; use strict; while (my ($name, $aliases, $port, $proto) = getservent) { print "$name\t$port/$proto\t$aliases\n"; } Alternatively, we can use one of the four Net:: family modules written for the purpose of making these values easier to handle. Each module overrides the original Perl built-in function with a new object-oriented version that returns an object, with methods for each value: #!/usr/bin/perl # listobjserv.pl use warnings; use strict; use Net::servent; while (my print print print print } $service = getservent) { 'Name : ', $service->name, "\n"; 'Port No: ', $service->port, "\n"; 'Protocol: ', $service->proto, "\n"; 'Aliases: ', join(', ', @{$service->aliases}), "\n\n";

Some frameworks aren t intended to deliver HTML-based content to the end user. They re designed to make it easier to interact with databases and provide services to your applications and clients, while lessening the code required by the developer. These include ColdSpring Reactor Transfer

These four modules all accept an optional fields argument that imports a variable for each part of the returned list. For the Net::servent module, the variables are the subroutines prefixed with s_, so the alternative way of writing the preceding is this: #!/usr/bin/perl # listfldserv.pl use warnings; use strict; use Net::servent qw(:FIELDS); while (my $service = getservent) { print 'Name : ', $s_name, "\n"; print 'Port No: ', $s_port, "\n";

print 'Protocol: ', $s_proto, "\n"; print 'Aliases: ', join(', ', @s_aliases), "\n\n"; } Importing the variables still overrides the core functions, however. We can get them back by prefixing them with CORE::, as in the following: ($name, $aliases, $proto) = CORE::getprotobyname($name_in); Alternatively, we can gain access to the object methods without the overrides by passing an empty import list: #!/usr/bin/perl # listcorserv.pl use warnings; use strict; use Net::servent (); while (my print print print print } $service = Net::servent::getservent) { 'Name : ', $service->name, "\n"; 'Port No: ', $service->port, "\n"; 'Protocol: ', $service->proto, "\n"; 'Aliases: ', join(', ', @{$service->aliases}), "\n\n";

We will cover each of the four kinds of network information in a little more detail in the following sections.

Having located our problem query, we can use a facility built into MySQL to show us the steps that the MySQL server would take to retrieve the data. This should give us a good clue about where the problem lies. MySQL has a query analyzer that examines the query and, using information about the table that it targets, some statistics about the table itself, and its list of indexes. The result of this analysis is what is called an execution plan, the list of steps it will perform to execute the query. We can instruct MySQL to display the execution plan instead of running the query, so we can see what it would have done. To do this, we use the Explain syntax. Adding Explain to the front of any query will return a representation of the internal execution plan.

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