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There is a problem with the type of layout shown here if you start using this technique for more complex databases What happens if the data you are trying to store contains a colon As far as the Perl script is concerned, the colon specifies the end of one field and the beginning of the next An additional colon would only upset the information stored in the record Even worse, what would happen if you wanted to record multiple lines of text in the database Individual records are often stored on individual lines; multiline fields would confuse the script again You could use separate record delimiters that don t rely on the newline character, but again, this adds more complexity There are ways around these problems You could use a different character for the field and record separators, although this is still open to the same abuse and possible results You could just remove the field and record separator characters from the source before you put them in the database, but this reduces the utility of being able to store the information in the first place The simplest solution is to ignore any field or record separators and instead use fixed-length records to store the information The use of fixed-length records implies that you know the maximum size of the data that you are storing before you place it into the database, and therefore you need to know the format of the database before you write to and read from it Using fixed-length records would allow you to store any sort of information in the database, including multiple-line text, without worrying about how the data may affect the database layout The only problem with fixed-length databases is that you not only restrict the amount of information you can store, but you also increase the size of the data file for small records, as the individual fields are padded to make up the fixed lengths To complicate matters further, you may have trouble choosing a padding character that won t affect the contents of the fields you are storing Null characters, for example, produce all sorts of results when they are included as the text within a browser window when writing CGI programs In these situations, you can usually augment the fixed-length structure by also specifying the field length for each field in each record But this too increases the size of the database To add more complexity, you will also need to overcome the problems of searching the file if you are using it as a random-access database If you know the record number you want to access, then with either form of text database, you should be able to move to the location relatively quickly But if you don t know the record number, the time taken to find the data will be a factor of the database size This is why, practically, text databases are only good for small-scale installations or in situations where the information flow is basically one way Using a text database for storing log information is an example of a one-way information flow One or more programs will add data to the file without referring back to the data they have written Another script will be responsible for taking in the.

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raw data and producing a summary report of the information contained in it Again, the information flow is one way: the data comes from the database but is not updated or modified In the following sections, we ll look at the techniques for reading from and writing to textual databases, including some example scripts We ll also examine the methods you will need to employ if you need to update, rather than read from or append, information in a text database

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24 Which, concerning command-line options, are true (Choose all that apply) A The -D flag is used in conjunction with a name-value pair B The -D flag can be used with javac to set a system property C The -d flag can be used with java to disable assertions D The -d flag can be used with javac to specify where to place class files E The -d flag can be used with javac to document the locations of deprecated APIs in source files

Accessing delimited databases is a case of using the split and join functions to extract fields from and combine fields into the records used to store the information For example, to access the password file on a Unix system, which uses colons for the field delimiters and newlines for record delimiters, you can use a very simple script:

open(D,"</etc/passwd") || die "Can't open file, $!"; while(<D>) { chomp; @fields = split /:/; print join(' ', @fields),"\n"; } close(D) || dir "Couldn't close file, $!"; PROGRAMMING WITH PERL

Of course, in this instance it s easier to use getpwent and other functions to read the file in a more reliable and safe format, but the principles remain the same If you want to import and export records using a different record separator, you can use the $/ and $\ variables You can set the values of the input and output field values when you call the split and join functions You may also want to investigate the DBD::CSV module, which allows you to access a comma separate value file as if it were a SQL database table See Web Appendix B and the DBI section later in this chapter for more information Many of the remaining technicalities surrounding the use of delimited text files also apply to fixed-length databases, so we ll examine the problems in the next section

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