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The primary reason for such differences is because for a particular type of automobile there is already a well-defined template that captures the detail specification of every component of the automobile, which is then fed to sophisticated machines that understand and generate components in accordance with the template This kind of end-to-end automation is difficult to implement in the software development world, particularly during the build phase, because the nature of the business requirements is different for different customers However, with the recent advancement in software engineering, most of the repetitive tasks encountered during the software construction stage are now automated, and this has deeply aided in speeding up the development life cycle Code generation is an advanced area that has evolved over a period of time, and in today s world it represents a novel way of building any type of application.

There is also a flag to install any as yet unfulfilled dependencies automatically (-y/ --include-dependencies) rather than the normal behavior of prompting the user for permission to do so. The version (-v/--version) required can also be specified if the latest one is not what you are after. The installation of a gem looks something like Listing 10-3. Listing 10-3. The Installation of a Specific Version of a Gem $ gem install starfish v 1.1.3 Successfully installed starfish-1.1.3 Installing ri documentation for starfish-1.1.3... Installing RDoc documentation for starfish-1.1.3... Note how the gem s installer has automatically generated documentation that can be accessed through the trusty ri command and RDoc-based documentation that can be accessed via a web browser. Precisely how to access this second form of documentation is discussed in the Accessing Documentation via gem_server section.

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Code generation is the technique of producing language-specific code during either design time or runtime based on some input information This input information could be high-level code or an abstract model defined using domain-oriented languages Regardless of the type of input provided, the output produced is always program source code This power to automatically generate source code has greatly benefited developers and absolved them from writing repetitive and monotonous code For example, consider back-office applications that are Online Transaction Processing (OLTP) systems and contain hundreds of database tables In such applications, a strong audit is required that tracks changes applied to the underlying tables To implement such requirements, developers will first immerse themselves in creating triggers, and the number of triggers created in this case will be exactly equal to the number of tables.

@Entity @Table(name="GADGET_TYPE") public class GadgetType implements Serializable { private long mId; private String mLabel; private String mDescr; public GadgetType() {} @Id @GeneratedValue @Column(name="TYPE_ID") public long getId() { return mId; } public void setId(long id) { mId = id; } @Column(name="DESCR") public String getDescription() { return mDescr; } public void setDescription(String descr) { mDescr = descr; } @Column(name="LABEL") public String getLabel() { return mLabel; } public void setLabel(String label) { mLabel = label; } public boolean equals(Object comp) { . . . } public int hashCode() { . . . } };

Furthermore, the trigger logic formulated will be simple; it will contain a single-line SQL statement that copies rows from the original table to the audit table This same logic will get repeated and replicated across all tables Now, such repetitive and menial tasks when assigned to developers become a chore and can also be a source of frustration To rescue developers from such mundane tasks and to mobilize their efforts in building more productive parts of the system, the development team must embrace automatic code-generation techniques At a surface level, such automation may not sound like an easy-to-achieve task, but we will show that all that is required is a list of the table names and their underlying fields This information is already available and forms part of the database metadata that is separately stored in tables also known as system tables.

It is easy to lose track of what s installed, so we are fortunate to have the list verb. It works exactly like search (particularly given that they both default to looking in the local repository only). The only real difference is that, if a fragment is provided as an argument, list will match it against the start of the gem names, whereas search will match it as a substring, as demonstrated in Listing 10-4. Listing 10-4. A Listing of Locally Installed Gems $ gem list *** LOCAL GEMS *** fastercsv (1.0.0) FasterCSV is CSV, but faster, smaller, and cleaner. log4r (1.0.5) Log4r is a comprehensive and flexible logging library for Ruby.

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