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With only a simple storage and retrieval process, PStore makes it easy to add storage facilities to existing Ruby programs by allowing you to store existing objects into a PStore database. Object persistence is not ideal for many types of data storage, but if your program is heavily dependent on objects, and you want to store those objects to disk for later use, PStore provides a simple method to use.
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YAML (standing for YAML Ain t Markup Language) is a special text-based markup language that was designed as a data serialization format that s readable by humans. You can use it in a similar way to PStore to serialize data structures, but unlike PStore s data, humans can easily read YAML data, and even directly edit it with a text editor and a basic knowledge of YAML syntax. The YAML library comes as part of Ruby s standard library, so it s easy to use. Unlike PStore, though, the YAML library converts data structures to and from YAML and doesn t
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CHAPTER 9 FILES AND DATABASES
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provide a hash to use, so the technique is a little different. This example writes an array of objects to disk:
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require 'yaml' class Person attr_accessor :name, :age end fred = Person.new fred.name = "Fred Bloggs" fred.age = 45 laura = Person.new laura.name = "Laura Smith" laura.age = 23 test_data = [ fred, laura ] puts YAML::dump(test_data)
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--- !ruby/object:Person age: 45 name: Fred Bloggs - !ruby/object:Person age: 23 name: Laura Smith
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You use YAML::dump to convert your Person object array into YAML data, which, as you should agree, is extremely readable! YAML::load performs the operation in the other direction, turning YAML code into working Ruby objects. For example, let s modify the YAML data a little and see if it translates back into working objects:
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require 'yaml' class Person attr_accessor :name, :age end yaml_string = <<END_OF_DATA
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CHAPTER 9 FILES AND DATABASES
--- !ruby/object:Person age: 45 name: Jimmy - !ruby/object:Person age: 23 name: Laura Smith END_OF_DATA test_data = YAML::load(yaml_string) puts test_data[0].name puts test_data[1].name
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Here YAML::load converts the YAML data back into the test_data array of Person objects successfully. You can use YAML to convert between most types of Ruby objects (including basic types such as Array and Hash) and YAML and back. This makes it an ideal intermediary format for storing data (such as configuration files) your applications need to access.
Note When dealing with serialized objects, you must still have the classes used by those objects defined
within the program somewhere, otherwise they won t be usable.
As plain text, you can safely transmit YAML via e-mail, store it in normal text files, and move it around more easily than the binary data created by libraries such as PStore. To learn more about YAML formatting, read its Wikipedia entry at http://en. wikipedia.org/wiki/YAML, or refer to the official YAML Web site at http://www.yaml.org/.
Relational Databases and SQL
In the previous section you created some extremely simplistic databases using text files and object persistence. Text files, of course, have their limitations. They re not reliable if many processes are using them at the same time. and they re slow. Loading a CSV file into
CHAPTER 9 FILES AND DATABASES
memory is fine when the dataset is small, but when it grows, the process of working directly with files can soon become sluggish. When developing more-robust systems, you pass database filing and management off to a separate application or system, and applications simply connect to a database system to pass data back and forth. In the previous section you were working with database files and the data within them quite directly, and that s unacceptable when performance and reliability are necessary.
Relational Database Concepts
One major benefit of using a dedicated database system is getting support for relational databases. A relational database is a database that s comprised of data grouped into one or more tables that can be linked together. A table stores information about one type of thing. For example, an address book database might be made up of a people table, an addresses table, and a phonenumbers table. Each table stores information about people, addresses, and phone numbers, respectively. The people table would likely have a number of attributes (known as columns, in database land) such as name, age, and gender. Each row of the table that is, an individual person would then have information in each column. Figure 9-1 shows an example.
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