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310-813 Sun Certified MySQL 5.0 Developer Part(R) II

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310-813 exam Dumps Source : Sun Certified MySQL 5.0 Developer Part(R) II

Test Code : 310-813
Test name : Sun Certified MySQL 5.0 Developer Part(R) II
Vendor name : SUN
: 70 existent Questions

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SUN SUN Sun Certified MySQL

solar Plans Open source buying Spree, Completes MySQL Deal | killexams.com existent Questions and Pass4sure dumps

news

sun Plans Open supply buying Spree, Completes MySQL Deal solar Microsystems nowadays talked about it has completed its $1 billion acquisition of open supply database supplier MySQL and may circulate aggressively to purchase other open supply carriers.

whereas no selected aims were stated, sun President and CEO Jonathan Schwartz stated the MySQL acquisition may be a key Part in solar's endeavor to transform itself into a key provider of open source utility.

"Open source is definitely within the DNA of sun," Schwartz said. "As such, once they look to be across the market, these corporations that fill constructed good, high-integrity communities and fill large distribution and a few measure of commercial success are the ones we're going to be most attracted to."

just ultimate week, sun introduced the completion of an extra open supply vendor, Innotek, whose VirtualBox desktop virtualization platform works cross-customer operating techniques.

"there may be a transforming into number of totally intelligent and totally resourceful open supply organizations available and they confidence they are a herbal domestic for lots of them and we're actually going to be placing their stability sheet to travail to head gain that the case," Schwartz referred to.

regardless of sun's moves to spot itself as a key open source issuer by course of OpenSolaris, Java, NetBeans and its GlassFish software server residences, commerce officials stated gaining MySQL will let solar tap into MySQL's stated 11 million subscribers whereas giving credence to MySQL as an option database platform to commerce shoppers.

"MySQL is among the most beneficial manufacturers in the free and open source delicate world," mentioned wealthy green, government vp of solar's application company. "This combination strengthens solar's position because the greatest contributor to the open supply neighborhood and offers solar a dramatically more desirable attain."

sun first introduced its intent to acquire MySQL in mid-January and spoke of both organizations moved directly to nearby the deal. MySQL CEO Marten Mickos will reside on with solar as senior vice chairman of the enterprise's novel database neighborhood.

solar too moved without detain to transition the MySQL product line. The commerce talked about clients can download the database freed from pervade privilege here. commercial enterprise consumers can now subscribe to MySQL's complete product line. sun referred to it's offering visitation subscriptions freed from can charge.

The company additionally launched MySQL enterprise unlimited , a subscription-based provider for the deployment and management of any variety of MySQL commerce Servers.

concerning the writer

Jeffrey Schwartz is editor of Redmond journal and too covers cloud computing for Virtualization overview's Cloud report. moreover, he writes the Channeling the Cloud column for Redmond Channel partner. result him on Twitter @JeffreySchwartz.


sun Basket offers Meal Kits in keeping with American melanoma Society instructions | killexams.com existent Questions and Pass4sure dumps

published: Mon, November 5, 2018 1:27 PM

solar Basket has launched meal kits that meet the American cancer Society's dietary guidelines. The company says the ACS recommends a eating regimen towering in greens, fruits, entire grains, and gaunt proteins however low in purple and processed meat. sun Basket is offering plant-forward vegan, vegetarian, and pescatarian plans for those seeking to consume by course of these requisites.

govt Chef Justine Kelly, the former head chef on the Slanted Door, a James Beard Award-winning restaurant, created the plans, which offer nutritionally balanced nutrition with globally impressed flavors. And the products are made with organic bear and cleanly materials.

The enterprise notes that here's one of a brace of health-oriented improvements. different initiatives consist of partnering with the American Diabetes affiliation on a diabetes-pleasant meal plot and offering coronary heart-determine licensed recipes that meet American coronary heart association requisites. 

linked: sun Basket Opens Distribution focus in a Missouri Cave; sun Basket Opens novel Distribution center.

NewsOK has disabled the comments for this article.


Renesas Electronics Sub-Gigahertz instant solution selected as touchstone celebrate at various bed Unit for Wi-solar FAN | killexams.com existent Questions and Pass4sure dumps

with the aid of Ken Briodagh November 07, 2018

based on a simultaneous announcement, Wi-sun Alliance has adopted the Renesas Electronics supplier, a employer of superior semiconductor options, sub-gigahertz (Sub-G) instant concede as a candidate of the interoperability verify mattress units (TBUs) for the Wi-sun FAN (container locality network) Certification program.

Renesas is a component of the primary wave of groups taking Part in the Wi-solar FAN 1.0 certification method with its RAA604S00/RX651 instant solution. Certifications are deliberate by means of the nearby of 2018.

The Sub-G instant solution points Tessera technology’s contrast platform, which contains an assessment board3 hooked up with Renesas’ RAA604S00 instant communications device-on-chip (SoC) and RX651 microcontroller (MCU), in addition to communication control software offered through Renesas. Renesas will explicate the novel Sub-G instant concede at its booth (stand B.c44) at European Utility Week 2018, November 6 to November eight, in Vienna, Austria.

“The Wi-sun neighborhood has been making large strides within the building and deployment of instant communications in the energy administration programs trade, and they are pleased to expand their commitment to the sage energy markets and boost the newest Wi-solar requirements with their Wi-sun FAN-licensed concede and test mattress units,” mentioned Akihiro Kuroda, VP, power Infrastructure enterprise Division, Renesas Electronics company.

The Sub-G band offers elements which are resilient to physical limitations and might transmit facts even further than supported by using past specifications, even in city environments. considering broad areas may too be covered with respectable steadiness via mesh networks, it is acceptable for applications such sensible meter conversation, energy utilization visualization, monitoring device utilization, and managing quite a lot of sensors inside a utility, factories and structures.

The IoT Evolution Expo, and collocated hobbies, IoT Evolution fitness, LPWAN Expo, The sage metropolis event, and IIoT convention, will capture location Jan. 29 to Feb 1 in ft. Lauderdale, Florida. talk over with IoTEvolutionExpo.com to register now.

Edited via Ken Briodagh

author data

Editorial Director


310-813 Sun Certified MySQL 5.0 Developer Part(R) II

Study steer Prepared by Killexams.com SUN Dumps Experts


Killexams.com 310-813 Dumps and existent Questions

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310-813 exam Dumps Source : Sun Certified MySQL 5.0 Developer Part(R) II

Test Code : 310-813
Test name : Sun Certified MySQL 5.0 Developer Part(R) II
Vendor name : SUN
: 70 existent Questions

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Sun Certified MySQL 5.0 Developer Part(R) II

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Exploring Enums: The Wait Is Finally Over | killexams.com existent questions and Pass4sure dumps

To enumerate means to itemize or to list. In the world of programming, enumerations, enums for short, are used to depict a finite set of values (constants) that a variable can attain. In other words, it defines the domain of a type. For instance, different states of a fan switch - off, low, medium, and towering - gain up an enumeration.

Since the first release of Java, programmers fill been complaining about the exigency of core language back for enumerated types. After all, Java improvised on the shortcomings of C++ and touted sort safety, so it was only natural for the developer community to anticipate back for a legal enum-type. During what seemed like an eternally long wait, many ad-hoc enum representations evolved and most of them shared a common premise - modeling enumerations based on a primitive type, usually an int; see Listing 1 for an example.

Although practical, such implementations fill long been frowned upon by Java purists as a hack that can best be described as brittle. What exactly is wrong with such an implementation? In essence, the main drawback of faking enumerated types using primitives is the exigency of stalwart typing and hence the inability to enmesh errors at compile time. Other shortcomings are less readable code, deviations from object-oriented concepts such as encapsulation, the absence of a namespace requiring an express prefix for every references, and the dangers of exposing the internal implementation to client code.

Let's celebrate at some of these drawbacks in more detail.

Loose sort checking is the result of a compiler treating the faked enumeration just like any other primitive variable. Since the compiler doesn't know anything about the cohesiveness of the enumeration of constant values, it doesn't catch, for instance, a definitive assignment of an out of ambit value. In other words, exigency of an express sort totally gives away the benefits of compile-time oversight detection.

Such ad hoc approaches violate some of the basic object-oriented principles. In the previous example, the states of the switch exigency encapsulation. Attributes representing the constants and operations are not grouped together but are scattered within the enclosing scope. Since the client code is well vigilant of implementation details, even a miniature change such as renumbering them might result in broken client code. too note the exigency of express scoping. Since enum attributes are listed along with other class attributes, the enclosing scope is often that of the declaring class or interface. This makes their grouping vague, unreadable, and sometimes oversight prone.

In his bespeak efficacious Java, Joshua Bloch presents a pattern for type-safe enums that offers both compile-time safety and better encapsulation. java.awt.Color uses a similar strategy to cache the int-enum implementation under the sheet. However, after reading through pages replete of Java code, you initiate to miracle if the juice is worth the squeeze. It only reinforces the exigency for core language back for enum types. For a language that touts sort safety, the project of faking enums with such complicated pyrotechnics seems rather odd.

Enter the novel EnumThe wait is finally over and legal enums are here. Enums are a sort of their own in J2SE 5.0. Among many other developer-friendly features recommended in JSR 176, Tiger (the code name for the novel release) packs the powerful punch of type-safe enums. Listing 2 shows how they rewrite Fan.java using legal enums. (Listings 2-9 can be downloaded from www.sys-con.com/java/sourcec.cfm.)

Note the novel enum keyword introduced to back the novel sort and too how enumerated constants are listed - they are neither strings nor ints but belong to their own declared type, i.e., SwitchState. Because it's a legal type, every the benefits of stalwart typing automatically kick in. For instance, the following code attempting to set an invalid state

new Fan().setState(6);

is automatically detected at compile time and reported an error, eliminating the exigency for several lines of validation code:

setState(Fan.SwitchState) in Fan cannot be applied to (int)

Let's celebrate at other useful features provided by the enum type.

Support for NamespaceIn the previous example, every the listed constants, e.g., states of the fan switch, implicitly belong to the enclosing type, appropriately named SwitchState, requiring an express namespace qualification to every references to states. For example:

SwitchState.Low

Namespace adornment too helps avoid collisions. If they were to declare another enum sort for class Fan using a similar set of constants, say:

public enum DurabilityRating { Low, Medium, towering }

it will result in no name collision. SwitchState.Low can be distinguished from DurabilityRating.Low because of their enclosing scope.

Since enum SwitchState is declared as public, and with the sort system providing a namespace for each enum constant, it can be accessed outside the scope of class Fan just like any gardenvariety credit reference, e.g., Fan.SwitchState.Medium.

Auto Conversion to String ValuesThe novel enum sort easily facilitates descriptive printing using an internal implementation of the toString() method. The default implementation returns a string representation of the constant as declared, and, if you don't like it, it can be changed by overriding toString(). It's that simple.

Works with Programming ConstructsSince enums are their own types, some of the touchstone Java constructs, notably the switch and for statements, fill been enhanced to travail with enum types. Listing 3 provides an case of the switch construct.

Switch statements are useful for simulating the addition of a method to an enum sort from outside the type. This can be very useful if for some intuition the enum definition cannot be modified, but needs to be extended.

There is something rather intelligent about this switch statement - note how the enum constants in case statements display bare, e.g., unqualified with their namespace. J2SE 5.0 makes life easier by attempting to resolve identifiers in the immediate context. This is kindly of similar to the novel static imports feature. In this example, however, you are required to omit the namespace. Try including it and you'll accumulate an oversight message:

Fan.java:16: an enum switch case label must be the unqualified name of an enumeration constant case SwitchState.Off : recur SwitchState.Low ;

Listing 4 provides an case that uses a for-loop construct to iterate through enums.

The values() method returns an array that contains enum constants for this enum in the order in which they are declared. By the way, the for-loop shown here is called "enhanced for-loop", another smart feature in the novel release. They are too called as "for-in loop" since you read them as "for-state-in-Switchstate.values". This novel construct simplifies iterating over a collection of values - both arrays and Java collections - by taking away the exigency to inspect the size, utilize a temporary index variable, and cast each factor to the preempt type.

Looking Under the HoodIn the spirit of empiricism, let's celebrate under the hood and see how enums are implemented. Compiling Fan.java (for the complete source code see the resources section) generates two .classes: Fan.class and Fan$SwitchState.class. The latter contains their enum definition.

D:\MyJava\JDJ\src>javap Fan$SwitchState Compiled from "Fan.java" public final class Fan$SwitchState extends java.lang.Enum{ public static final Fan$SwitchState Off; public static final Fan$SwitchState Low; public static final Fan$SwitchState Medium; public static final Fan$SwitchState High; public static final Fan$SwitchState[] values(); public static Fan$SwitchState valueOf(java.lang.String); static {}; }

As you can see, the process of compilation results in the automatic generation of a novel class that extends java.lang.Enum. In other words, the enum keyword acts as a shorthand representation for the autogenerated class. This is what the authors of JSR 201 meant by "linguistic back for type-safe enumeration pattern." It's worth mentioning that every novel language extension introduced in Java 5.0 is implemented by modifying the source-to-byte code compiler so the JVM implementation remains unchanged.

If you notice the naming convention adopted for generated enum types, you'll recognize that they closely resemble the inner class syntax, e.g., <enclosingType>$<thisType> format. every enum classes are final subclasses of java.lang.Enum, serializable, and comparable. They gain with predefined toString, hashCode, and equals methods. every methods except toString are final.

Note that every enlisted enum constants are represented as final self-type variables of the class. This is done to ensure no instances exist other than those in the generated class. In other words, enums are Singletons and, for the selfsame reason, they can't be instantiated using novel or cloned. The clone method in java.lang.Enum throws a CloneNotSupportedException.

Since enums are compiled into their own class files, their definition can be changed, e.g., enum constants can be added, deleted, and reordered without having to recompile the clients. If you removed an enum constant that a client is using, you'll fail snappily with an oversight message.

Now let's celebrate at some advanced features.

Flavors of DeclarationEnums can be declared in various flavors. The enum FanState above is an case of an inline declaration. These are useful for defining enums that fill a limited scope - the utilize and cast sort of enums. Since Java 5.0 introduces the keyword enum at the selfsame smooth as class and interface keywords, enums can be declared just as you would a novel class or an interface - in its own .java file (see Listing 5).

Normal rules of access visibility that apply to standalone Java classes too apply to enums, whether they are declared inline or in a part file. For example, if you omitted the public keyword, the enum sort will fill the default package visibility and hence be accessible only within the package. Similarly if the SwitchState enum were to fill a private access specifier, it wouldn't be accessible outside the class scope of Fan. You accumulate the point.

As with other novel features introduced in Java 5.0 such as generics, enums fill been used in several JDK packages. JDK 5.0 includes several enum types to back core classes. For instance, the newly introduced java.lang.Thread class uses an enum named situation to depict the current situation of the thread. Some of the best enum candidates haven't been converted over yet - like the most quoted Color class. You can utilize Javadoc as your realm steer for spotting enums in Tigerland. The novel API Javadoc conveniently lists every enums in the package-summary.html along with other top-level types. Once you fill spotted them, travel ahead and open the source code and see how the preachers practice. It's always fun.

Class-like BehaviorSince enums are class-like critters, they back most, if not every (see the Caveat Emptor sidebar), semantics supported by gardenvariety Java classes. The enum sort definition can fill one or more parameterized constructors, implement interfaces, and back class carcass elements such as attributes, methods, instance and static initializer blocks, and even inner classes.

In addition, arbitrary fields and methods can be added to individual enum constants. Such constant-specific class bodies define anonymous classes inside enum classes that extend the enclosing enum class. Listings 6-9 illustrate the utilize of some of these features.

There's a lot to digest here, so let's tackle them one at a time.

We are defining three types of accounts as enums - checking, savings, and investment. First things first - they exigency some clarification of terminology here. Every enum constant has a declaring class, which is too called its type. The term "enum type" is used to refer to the declaring class, e.g., AccountType. When they utilize the term "enum constant", it's referring to every enlisted contents contained in the scope of AccountType, e.g., Checking, Savings, and Investment. It shouldn't be very confusing. Just contemplate of any class declaration and its objects - the enum sort is analogous to the class declaration and enum constants, the objects.

Enums Are ClassesSimilarities between a gardenvariety class declaration and an enum declaration are difficult to miss. The enum sort AccountType implements the IAccountType interface and has two constructors. What does it mean? To implement an interface, the enum sort must implement every method defined in the interface. Since every enum constants are objects of the declared type, they participate the common implementation of methods getAvgBalanceMethod and getInterest- Rate. An enum constant declaration, when followed by arguments, invokes the constructor defined by the enum type. In their example, the enum constant Savings invokes the constructor

AccountType(double interestRate)

with argument 3.5.

All the touchstone rules of constructor overloading and selection specified by the Java Language Specification are followed here. Since enum constant Checking has no arguments following its declaration, it's necessary to provide a no-arg default constructor. If the enum class has no constructor declarations, a parameterless default constructor is automatically provided to match the implicit blank argument list.

Notice how an enum sort can declare methods and attributes, again, just like a gardenvariety Java class. For member sort declaration, every rules of scoping, access specifiers, and visibility are valid and therefore must be followed with admiration to instance variables and methods. There is something rather intelligent with the sort AvgBalanceMethod. It's an enum within an enum. Since an enum sort can back every types of class members, they can back enums too. Since AvgBalanceMethod is declared as public, it's visible outside the scope of the enclosing AccountType. Notice how it's accessed in the Account class.

Constant Class BodiesEnum constants can be associated with an arbitrary class carcass often referred to as a constant class body. Such classes are very similar to anonymous class declarations (even named similarly) and are implicitly static. This means they can access only static defined in the enclosing scope. Since constant classes are implicit extensions of the enclosing class, they can override methods defined in the enum type. In their example, enum constant Investment overrides getAvgBalanceMethod defined by AccountType. In fact, it would be perfectly legal to declare AccountType as abstract and coerce every enlisted enum constant to implement methods in the interface in their constant class body. A word of caution: although back for constant class bodies is a very powerful feature, it may be sage to avoid stretching them because of the selfsame reasons why immoderate utilize of anonymous classes is discouraged - they are less readable and difficult to debug.

It's famous to mention here that only a nonfinal instance method in java.lang.Enum is the toString() method. You can override and implement the per-constant toString() method to recur a descriptive name for each enum constant. The default implementation of toString() returns just the string equivalent of the constant. Therefore, as illustrated in the example, it may be a agreeable project to override when a more descriptive literal is necessary.

Before they proclaim victory, two novel classes introduced for enum back deserve consideration: java.util.EnumMap and java.util.EnumSet. As their names suggest, they are enum-enabled counterparts of the touchstone Java collection implementation. They both require that each factor maintained by the collection belong to one enum type. In short, they won't let you blend and match enum constants from different types. It's rather intelligent that they both retain the elements, e.g., the enum constants, in their declared order, totally ignoring any custom implementation of the compareTo() method. be certain to check out their API documentation.

ConclusionThe novel enums are a robust course to implement constant named lists and gain them a compelling alternative to ad hoc enum implementations. With class-like behavior and the ability to back arbitrary class members, they are certainly bigger than they appear. Although you may not fill an immediate exigency to utilize them in your projects, or at least not every feature they offer, hold them in your toolbox and you'll soon find them handy.

Resources

  • Java 5.0 Release candidate home page: http://java.sun.com/j2se/1.5.0/index.jsp
  • JSR 201 - check out the enum draft spec: http://jcp.org/en/jsr/detail?id=201
  • JSR 176 - J2SE 5.0 Release contents: http://jcp.org/en/jsr/detail?id=176

    SIDEBAR

    CAVEAT EMPTORLet the buyer beware: a simple axiom often used in commerce summarizes it well - it means the buyer solitary is amenable for assessing the quality of a purchase before buying. Enums are so powerful, once you learn the ropes it's facile to be tempted to stretch and finish "cool" things. Before you know it, baleful things start happening.

    Always check out the API spec and know the expected behavior before you spot something to use. As a smart programmer, you too exigency to know the limitations of the enums so that it can redeem your bacon some day.

    1.  You can't novel enums: recall they are singletons. For the JVM to handle them properly, only one instance of each should exist. They are automatically created for you. Luckily the compiler catches express instantiation. For the selfsame reason, enum constructors are implicitly private. contemplate about it.

    2.  You can't extend enums: One enum cannot extend another one. You can't extend the primordial java.lang.Enum either. That's how it works and if you are worried about this limitation, your design demands a second look. You shouldn't exigency a hierarchy of enums.

    3.  You can't declare enums locally: Enum types cannot exist in any scope lower than a class scope. You can't define them within a method.

    4.  Order matters: Within the enum sort class body, the constants must display before other class elements such as attributes, methods, and constructors. This is legal at least as of the 5.0 beta release.

    5.  No nulls please: An enum constant cannot be null. It's that simple.

    6.  Don't utilize ordinal: Code that uses an ordinal() method, e.g., logic based on the position of an enum constant as it appears in the declaration, must be discouraged. Your code will smash at runtime if constants are subsequently reordered. What's more, this is a runtime error. The compiler will not enmesh such a thing.

    7.  Everything that sounds the same, isn't: There are a few other classes in JDK 5.0 that sound very similar - Enumeration, EnumControl, to name a few. Don't assume they are enum implementations. Check the Javadoc.

    8.  Spare the serialization: Enum serialization isn't like the gardenvariety one you fill seen. The process by which enum constants are serialized cannot be customized. Any class-specific writeObject and writeReplace methods defined by enum types are ignored during serialization. Similarly, any serialPersistentFields or serialVersionUID realm declarations are too ignored - every enum types fill a fixed serialVersionUID of 0L. Again, this shouldn't concern you too much. Let the language capture confidence of the specifics.


  • Use the Ruby on Rails Alternative | killexams.com existent questions and Pass4sure dumps

    In-Depth

    Use the Ruby on Rails Alternative

    Take a more expedient approach for developing MVC Web applications than you might capture using J2EE technologies.

  • By Deepak Vohra
  • 03/07/2007
  • Ruby on Rails is an open source Web framework for developing Model-View-Controller (MVC) Web applications that access databases. Ruby on Rails is based on the object-oriented Ruby scripting language. The model class in a Ruby on Rails application specifies the data model. A connection with the database is obtained in the model class, and the database table from which data is to be retrieved is specified. The controller class specifies the actions (methods) that accommodate the commerce logic to process data, and the view templates are the user interfaces (UIs) for the MVC application. Controller class methods are invoked from a view template, the controller class processes data using the model class, and it renders a view template or invokes another controller method.

    Ruby on Rails doesn't require configuration files as does a Java 2 Platform, Enterprise Edition (J2EE) application. Ruby on Rails requires a Web server and a database, and it includes the WEBrick Web server. It is too preconfigured with the MySQL database. Let's celebrate at how to utilize Ruby on Rails to develop a Create-Read-Update-Delete (CRUD) application. A CRUD application is used essentially to create, manipulate, and delete database table entries.

    Because a Rails application is of the MVC pattern, the model and controller classes are Ruby classes (.rb files). The model class models data and extends the ActionRecord::Base class. Models provide object-relational mapping (ORM) between commerce objects and the database. The view templates are the UIs of a Ruby on Rails application and are represented with .rhtml or .rxml files. An RHTML view template is the more commonly used alternative and is Ruby-embedded HTML. The controller class extends the ActionController::Base class and specifies actions (methods) to process data. Ruby on Rails provides various commands to generate a Rails application and model and controller classes. Some Ruby on Rails commands are listed in Table 1.

    Get On TrackBegin by installing Ruby on Rails and including RubyGems, the touchstone package manager used with Ruby applications and libraries. Here is the procedure to install Ruby on Rails:

  • Download the Ruby Windows Installer application by double-clicking the ruby185-21.exe application to start the Ruby Setup Wizard. Click Next, and read and accept the license agreement.
  • Select the default components to install, which embrace the RubyGems package manager, and click Next.
  • Specify a directory to install Ruby (the default is c:/ruby), and click Next.
  • Choose a Start Menu folder, and click Install to install Ruby and RubyGems.
  • Install Rails by using the CD (change directory) command to gain c:/ruby the current directory, and then rush this command to install Rails and its dependencies—note that the activerecord package implements the model layer of a Rails MVC application, and the actionpack package implements the view and controller: gem install rails --include- dependencies
  • Use Setup.exe to download and install MySQL 5.0, and create a MySQL Server instance.
  • Now let's create a Ruby on Rails application that represents a journal catalog. utilize the rails command on the command line to create a Ruby on Rails application in the catalog directory from within the ruby directory:

    rails catalog

    The app directory contains the subdirectories controllers, models, and view for the controller classes, model classes, and view templates, respectively. The config directory contains the database.yml file in which the database configuration is specified. A Rails application may be rush in development (the default mode), test, or production mode.

    For the case here let's rush the Rails application in development mode. Modify the development mode settings in the database.yml file to specify the database as mysql. The development mode settings for the MySQL database should celebrate like this:

    development: adapter: mysql database: test username: root password: mysql host: localhost

    The db directory is used for migration scripts, which will be discussed shortly.

    Now they exigency to create a database table that will utilize ActiveRecord migrations. A migration class extends the ActiveRecord::Migration class and is rush with the rake command. The rake command is similar to Ant's build utensil for creating J2EE applications. A migration script gets created when a model class script is created. Create a model script with this command in the Ruby Console Window from the ruby/catalog directory:

    ruby script/generate model catalog

    The model class catalog.rb is created in the app/models directory, and the migration script 001_create_catalogs.rb is created in the db/migrate directory. The migration script class, CreateCatalogs, extends the ActiveRecord::Migration class:

    class CreateCatalogs < ActiveRecord::Migration def self.up create_table :catalogs finish |t| # t.column :name, :string end end def self.down drop_table :catalogs end end

    The default migration script consists of the methods self.up and self.down. The self.up method is invoked to rush a migration and create a database table. utilize the create_table transformation of the ActiveRecord::Migration class to create a database table called catalogs. ActiveRecord uses pluralization to map a model class to a database table. The model class is singular and uppercase, and the database table is plural and lowercase.

    In the Ruby on Rails application case the model class is Catalog and the database table is catalogs. The ActiveRecord::Migration class provides various transformations for a database. Some of the transformations are listed in Table 2.

    Modify the migration script 001_create_catalogs.rb to create a database table, and then add data to the table. In the create_table transformation create a table called catalogs with the columns journal, publisher, edition, title, and author:

    create_table :catalogs finish |t| t.column :journal, :string, :limit => 255 t.column :publisher, :string, :limit => 255 t.column :edition, :string, :limit => 255 t.column :title, :string, :limit => 255 t.column :author, :string, :limit => 255 end

    Valid column types are integer, float, datetime, date, timestamp, time, text, string binary, and boolean. valid column options are limit, default, and null.

    Next, add data to the table with the ActiveRecord::Base class method, create, to add a table row:

    Catalog.create :journal => "developerWorks", :publisher => "IBM", :edition => "September 2006", :title=> "A PHP V5 migration guide", :author=>"Jack D. Herrington"

    Listing 1 shows the complete migration script. rush the migration with the rake command from the /ruby/catalog directory. Rails has a target called migrate to rush migrations:

    rake db:migrate

    The catalogs database table is created in the MySQL database named mysql. The catalogs table has a primary key realm of sort int(11) and the auto_increment attribute, which generates a unique identity for novel rows.

    Develop a CRUD ApplicationBefore they develop a Ruby on Rails CRUD application, note that a Ruby on Rails application consists of these Ruby scripts and view templates:

  • Model class in the app/models directory
  • Controller class in the app/controllers directory
  • View templates (RHTML files) in the app/views directory
  • Previously they created a model class Ruby script. They utilize an interface to create novel entries in the database, retrieve entries, update entries, and delete entries. The interface to the data in the database is scaffolding. Scaffolding consists of controller and model Ruby classes and view templates. Rails provides two types of scaffolding, dynamic scaffolding and scaffolding created with the ScaffoldGenerator. You can create a dynamic scaffolding by adding this scaffold method invocation to the controller class:

    scaffold :modelname

    The scaffold method generates controller logic and view templates dynamically using a model class obtained with Rails naming conventions. The first missive of the modelname is uppercase to obtain the model class. For example, if the modelname specified in the scaffold method is catalog, the Catalog model class is used in the scaffolding.

    Instance variables @catalog/@catalogs are used in the controller class; controller instance variables are too available in the view templates. The Rails framework provides the scaffold generator to create a controller class, a model class, and the scaffolding for a CRUD application. Scaffolding generated with the ScaffoldGenerator is similar to the one generated with the scaffold method, except that the controller logic and view templates are generated when the ScaffoldGenerator command is rush instead of being generated dynamically. In the Ruby console window rush the scaffold generator:

    ruby script/generate scaffold catalog

    This command generates a model class, a controller class, and the view templates index.rhtml, list.rhtml, show.rhtml, new.rhtml, create.rhtml, edit.rhtml, update.rhtml, and destroy.rhtml. The Catalog model class looks like this:

    class Catalog > ActiveRecord::Base end

    Listing 2 shows the controller class CatalogsController.

    With the scaffolding these actions (methods) are generated in the controller class: index, list, show, new, create, edit, update, and destroy. The default view templates may be overridden with view templates in the views directory. For example, a custom view template edit.rhtml can be provided in the views/catalog directory.

    Next, let's rush the Ruby on Rails application in the WEBrick Web server. initiate by starting the WEBrick server from the /ruby/catalog directory:

    ruby script/server

    Access the WEBrick Web server with the URL, http://localhost:3000 (see pattern 1). display the list of catalog entries with the list view template, which is invoked with the URL, http://localhost:3000/catalogs/list. To create a novel catalog entry click the novel catalog link (see pattern 2). In the novel view template add a catalog entry, and click the Create button. A novel catalog entry is added in the list view template. Click the explicate link to explicate a catalog entry. To delete a catalog entry click the ruin link, and to edit a catalog entry click the Edit link (see pattern 3).

    Use the edit view template to modify the catalog entry; for example, modify the title and click the Edit button to update the catalog entry (see pattern 4).

    Ruby on Rails is simpler than J2EE for developing MVC Web applications. The JavaServer Pages (JSP), HTML, servlets, Enterprise JavaBeans (EJB), and configuration fields that are required in a J2EE application are not required for a Ruby on Rails application.

    About the Author

    Deepak Vohra, a Sun-certified Java programmer and Sun-certified Web component developer, has published numerous articles in industry publications and journals. Deepak is the author of the bespeak "Ruby on Rails for PHP and Java Developers."


    Anatomy of a Java Finalizer | killexams.com existent questions and Pass4sure dumps

    A brace of patterns that could intuition Java mound exhaustion were identified from years of research at IBM. One intelligent scenario was observed when Java applications generated an immoderate amount of finalizable objects whose classes had non-trivial Java finalizers.

    What Is a Java Finalizer?A Java finalizer performs finalization tasks for an object. It's the antithetical of a Java constructor, which creates and initializes an instance of a Java class. A Java finalizer can be used to discharge postmortem cleanup tasks on an instance of a class or to release system resources such as file descriptors or network socket connections when an object is no longer needed and those resources fill to be released for other objects. You don't exigency any argument or any recur value for a finalizer. Unfortunately the current Java language specification does not define any finalizers for a Java class or interface when a class or interface is unloaded. Let's capture a closer celebrate at finalize() method of java.lang.Object that provides an instance method, finalize() for finalization:

    protected void finalize() throws Throwable

    When a Java object is no longer needed, the space occupied by the object is hypothetical to be recycled automatically by the Java garbage collector. This is one of the significant differences in Java and is not institute in most structural programming languages like C. If an instance of a class implements the finalize() method, its space cannot be recycled by the garbage collector in a timely fashion. Worst case, it may not be recycled at all.

    Any instances of classes that implement the finalize() method are often called finalizable objects. They will not be immediately reclaimed by the Java garbage collector when they are no longer referenced. Instead, the Java garbage collector appends the objects to a special queue for the finalization process. Usually it's performed by a special thread called a "Reference Handler" on some Java Virtual Machines. During this finalization process, the "Finalizer" thread will execute each finalize() method of the objects. Only after successful completion of the finalize() method will an object be handed over for Java garbage collection to accumulate its space reclaimed by "future" garbage collection. I did not divulge "current," which means at least two garbage collection cycles are required to reclaim the finalizable object. Sounds like it has some overhead? You got it. They exigency several shots to accumulate the space recycled.

    Finalizer threads are not given maximum priorities on systems. If a "Finalizer" thread cannot hold up with the rate at which higher priority threads intuition finalizable objects to be queued, the finalizer queue will hold growing and intuition the Java mound to fill up. Eventually the Java mound will accumulate exhausted and a java.lang.OutOfMemoryError will be thrown.

    A Java Virtual Machine will never invoke the finalize() method more than once for any object. If there's any exception thrown by the finalize() method, the finalization of the object is halted.

    You are free to finish virtually anything in the finalize() method of your class. When you finish that, gratify finish not anticipate the recollection space occupied by each and every object to be reclaimed by the Java garbage collector when the object is no longer referenced or no longer needed. Why? It is not guaranteed that the finalize() method will complete the execution in timely manner. Worst case, it may not be even invoked even when there are no more references to the object. That means it's not guaranteed that any objects that fill a finalize() method are garbage collected. That's a potential hazard from a recollection management perspective and, needless to say, there is considerable overhead for queuing, dequeuing, running the finalize() method, and rescanning the object in the next garbage collection cycle.

    If you want to rush cleanup tasks on objects, account finalizers as a final rotate and implement your own cleanup method, which will be more predictable. It's very risky to depend on finalizers for postmortem cleanup tasks, especially if your finalizable objects fill references to indigenous resources.

    Hands-on sustain with Java FinalizerWe can easily simulate this scenario with a brace of test applications and capture a celebrate at dumps and traces to see what's happening inside of the Java mound and threads for hands-on experience.

    Let's build a brace of Java classes to recreate typical scenarios.

    In ObjectWYieldFinalizer, they can implement the method finalize() with Thread.yield() so that finalize() cannot complete its execution (see Listing 1) (Listings 1-7 can be downloaded here.)

    The Thread.yield() method prevents the currently executing thread from running and allows other threads to execute. If the Finalizer thread calls this finalize() method, it will suspension its execution.

    In ObjectWExceptionFinalizer, the finalizer() method immediately throws a java.lang.IndexOutOfBoundsException. If the Finalizer thread calls this finalize() method, the object finalization won't be completed because of the exception and there's no second random to rush the finalize() method (see Listing 2).

    In ObjectWEmptyFinalizer, they don't implement any code in the finalize() method (see Listing 3). ObjectWOFinalizer doesn't fill any finalize() method (see Listing 4).

    Let's rush each of the classes to see what happens. Sun's Java Virtual Machine (JVM) can be used with the following options for the class TestObjectWYieldFinalizer.

    /sun1.6.0_10/bin/java -Xmx50m -verbosegc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps -XX:+PrintHeapAtGC -XX:+HeapDumpOnOutOfMemoryError TestObjectWYieldFinalizer > verbosegc.txt

    It looks very complicated. Why finish they exigency those command-line options? Well, without those options, they only accumulate a limited information about Java garbage collection activities like this:

    [Full GC 50815K->45644K(50816K), 0.2276940 secs][Full GC 48780K->46415K(50816K), 0.2233279 secs][Full GC 49551K->49551K(50816K), 0.2396315 secs][Full GC 50815K->50815K(50816K), 0.1886312 secs][Full GC 50815K->49219K(50816K), 0.1964926 secs][Full GC 50815K->50815K(50816K), 0.1865343 secs][Full GC 50815K->50815K(50816K), 0.1836961 secs]

    We only accumulate a sort of garbage collection (Full GC), total Java mound usage before garbage collection (50,815K), total Java mound usage after garbage collection (45,644K), a towering watermark of total Java mound (50,816K), and time spent in the garbage collection (0.2276940 secs).

    High watermark is the size of the current Java heap. The Java mound can expand its size up to a maximum size or condense to manage Java mound effectively.

    The -XX:+PrintGCDetails option lets the JVM provide information on each generation in the Java heap.

    We can see Java mound usage and the time (in seconds) spent in Java garbage collection of each novel generation, tenured generation, and permanent generation with the -XX:+PrintGCDetails option in the following example:

    [GC [DefNew: 3520K->3520K(3520K), 0.0001143 secs][Tenured: 43897K->47295K(47296K), 0.2110999 secs] 47417K->47415K(50816K), [Perm : 17K->17K(12288K)], 0.2115593 secs][Times: user=0.22 sys=0.00, real=0.22 secs]

    In tenured generation, Java mound usage was 43,897KB before this Java garbage collection. Java mound usage reached 47,295KB after Java garbage collection; 47296K is the size of the towering watermark of the tenured generation; 0.2110999 second was spent to collect the tenured generation. Unfortunately they finish not see the maximum size of each generation with the -XX:+PrintGCDetails option alone.

    With -XX:+PrintGCTimeStamps, they can accumulate a timestamp for each garbage collection like this:

    1.393: [GC 1002K->106K(5056K), 0.0001036 secs]

    This garbage collection started 1.393 seconds after the JVM started.

    The -XX:+PrintHeapAtGC option provides extensive information about each Java garbage collection (see Listing 5).

    We can even see the address ambit of each generation. Unfortunately there's no timestamp for each garbage collection with -XX:+PrintHeapAtGC option alone.

    The final option, -XX:-HeapDumpOnOutOfMemoryError allows the JVM to dump the Java mound to a file when an allocation from the Java mound cannot be satisfied or a java.lang.OutOfMemoryError is thrown. This option was introduced in Sun Java 1.4.2 update 12 and Sun Java 5.0 update 7.

    If you want to experiment with IBM's Java Virtual Machine, every you exigency is a -verbosegc command-line option. You finish not exigency any of these: -XX:+PrintGCDetails -XX:+PrintGCTimeStamps -XX:+PrintHeapAtGC, or -XX:+HeapDumpOnOutOfMemoryError.

    Let's capture a celebrate at what happened to the class while they talked about Sun JVM's command-line option. We've got java.lang.OutOfMemoryError from TestObjectWYieldFinalizer:

    Exception in the thread "main" java.lang.OutOfMemoryError: Java mound spaceat java.lang.ref.Finalizer.register(Finalizer.java:72)at java.lang.Object.<init>(Object.java:20)at ObjectWYieldFinalizer.<init>(ObjectWYieldFinalizer.java:2)at TestObjectWYieldFinalizer.main(TestObjectWYieldFinalizer.java:11)

    "java.lang.OutOfMemoryError: Java mound space." That means they got Java mound space exhaustion. The JVM could not earmark any more Java mound while running the method java.lang.ref.Finalizer.register(), which is on line 72 of Finalizer.java. Finalizer.java? Of course, they did not write Finalizer.java. That's a Part of the JVM. They can too check verbosegc.txt to which they redirected the garbage collection vestige (see Listing 6).

    About 3.711 seconds after the JVM started, they got java.lang.OutOfMemoryError. The Java mound dump is written to pid124.hprof.

    Analysis of Java Garbage Collection TracesWe can utilize a utensil to anatomize this trace. The IBM Pattern Modeling and Analysis utensil for Java Garbage Collector (PMAT) is one of top five technologies at alphaWorks. I fill implemented patented algorithms to predict future failures related to Java mound exhaustion in this tool. gratify refer to United States Patent No. 7,475,214 if you are interested in the algorithms. Although they don't exigency these algorithms to investigate simple problem like this, you might be able to find situations where you could accumulate some insight from fortune tellers. They can accumulate a copy of the utensil here.

    PMAT parses verbose garbage collection (GC) trace, analyzes Java mound usage, and recommends possible solutions based on pattern modeling of Java mound usage.

    The following features are included:

  • GC analysis
  • GC table view
  • Allocation failure summary
  • GC usage summary
  • GC duration summary
  • GC graph view
  • GC pattern analysis
  • Zoom in/out/selection/center of chart view
  • The utensil can too parse Sun's Java garbage collector traces, including the following:

  • Serial collector
  • Throughput/parallel collector
  • Concurrent collector
  • Incremental/train collector
  • We can start version 3.2 of the utensil with a jar file in the download package. (V3.2 was the latest version when this article was written.)

    # /usr/java5/bin/java -Xmx200m -jar ga32.jar

    The utensil provides a headless mode but let's bring up the graphical user interface mode for facile demonstration. They can click on the "N" icon to open Sun's vestige file. They can click on "I" for IBM's vestige file as seen in pattern 1.

    We can see in pattern 2 the analysis result and recommendation virtually instantly.



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