Monday, 16 January 2012

Literals

Look at the long value 5432l.

Note the subtle difference in shape between the digit 1 at the beginning of the left operand and the lowercase letter el at the end of the right operand. The digit 1 has an acute angle between the horizontal stroke, or arm, and the vertical stroke, or stem. The lowercase letter el, by contrast, has a right angle between the arm and the stem.
Before you cry “foul,” note that this issue has caused real confusion. So its better to use "L" rather than l

Java IO Overview

We can diagrammatically cover how java io looks like from bird eye view.

So this is basic java IO :
Now looking at the class hierarchy :

Sunday, 15 January 2012

Playing with double datatype using Java

Do you guess the output values of the following code snippets (in  Java) ? .


                        double d5 =99999.99;
                        double d6 =999999.99;
                        double d7 =9999999.99;
                        double d8 =99999999.99;
                        double d9 =999999999.99;
                        double d10=9999999999.99;

                        System.out.println("d5 ="+d5);
                        System.out.println("d6 ="+d6);
                        System.out.println("d7 ="+d7);
                        System.out.println("d8 ="+d8);
                        System.out.println("d9 ="+d9);
                        System.out.println("d10="+d10);

Here is the output:




d5 =99999.99
d6 =999999.99
d7 =9999999.99
d8 =9.999999999E7
d9 =9.9999999999E8
d10=9.99999999999E9

Have you noticed the values of d8, d9 and d10?. The output value is in  E (exponential) format. Java is internally doing this conversion while convert the datatype double to String.  If the value is  greater than or equal to 10-3 but less than 107, then the output will be normal. Otherwise the value will be in Exponential.

To print the values all in normal format, use the "java.text.DecimalFormat" class. Check the following code snippet.


                        DecimalFormat d = new DecimalFormat("##.##");
                        System.out.println("d5 ="+d.format(d5));
                        System.out.println("d6 ="+d.format(d6));
                        System.out.println("d7 ="+d.format(d7));
                        System.out.println("d8 ="+d.format(d8));
                        System.out.println("d9 ="+d.format(d9));
                        System.out.println("d10="+d.format(d10));
The output is


d5 =99999.99
d6 =999999.99
d7 =9999999.99
d8 =99999999.99
d9 =999999999.99
d10=9999999999.99

Refer the following URL to get the more details about the Double,.

Saturday, 14 January 2012

Generic class names to avoid

Overview

Java (Oracle Java update 2) has many classes with the same generic name. To avoid further confusion, I suggest avoiding these names if you can.

Most repeated

The following class names are repeated, 19 Handler, 16 Messages, 13 Util, 10 Element, 8 Attribute, 7 SecuritySupport, 7 Node, 6 Provider, 6 Header, 6 FactoryFinder, 6 Document. 5 SOAPBinding, 5 Repository, 5 Ref, 5 ORB, 5 Name, 5 Constants, 5 Connection, 5 Comment, 5 Binding, 5 Attributes,
This excludes the Apache XML library which repeats many names. If you include these libraries there are 26 classes called SecuritySupport.

Four times

Window, Version, Utility, Timer, Text, State, Signature, ServiceName, ServiceConfigurationError, Service, ResourceLoader, Queue, Policy, Parser, Operation, NativeLibLoader, Message, Label, JSObject, GetPropertyAction, FactoryFinder$ConfigurationError, Event, ConstantPool, AppletAudioClip, Action,

Three times

XMLWriter, Wrapper, WildcardTypeImpl, Visitor, Validator, Types, TypeMismatch, TypeInfo, Type, Trace, Token, Timestamp, Target, Symbol, StyleSheet, SOAPFault, SOAPConstants, Scope, Schema, ResourceManager, Resource, Resolver, Request, Reference, Properties, ProgressMonitor, PrincipalImpl, Principal, Port, PooledConnection, Pool, Pipe, Patcher, ParseException, OutputStream, ObjectStreamField, Navigator, NamespaceSupport$Context, NamespaceSupport, MimeType, MemoryCache, MarshalException, Manifest, Main, Location, List, JarVerifier, IOR, Invoker, InvalidName, Introspector, InputStream, Import, ImageCache, HTMLDocument, HTMLCollection, Headers, FinalArrayList, Filter, FileSystem, FactoryImpl, Extension, EventListener, ErrorHandler, Entity, EncryptedPrivateKeyInfo, Delegate, DataSource, CurrentOperations, CurrentHelper, Current, Counter, Context, ContentType, Config, Code, CharacterData, Certificate, CacheTable, Cache, Bridge, Base64, Authenticator, AttributeList, ArrayType, Array, AppletAudioClip$1, Annotation,

Appearing twice

Too many to mention.

Java Puzzler - double chars

The following compiles and produces an output. Can you explain why?

char ch = 'A';
ch *= 1.5;
System.out.println(ch); // prints 'a'

Here is a hint for a simpler example.

byte b = 100;
b /= 2.5;
System.out.println(b); // prints 40

Friday, 13 January 2012

Exception Wrapping for persistence

Data can be stored in various ways, for example:
  • a relational database
  • text files
  • on the web (for example, fetching the weather forecast from a web site)
If the storage method changes, then the low level Exception objects thrown by the data access layer can also change. For example, when the data store is moved from text files to a relational database, IOException is replaced with SQLException. Otherwise there will be compilation errors throughout the code.

Removing the compilation point of view, lets look at the design point. Then consider a typical J2EE application that has a simple web layer, a business layer and a database layer. If some SQL query in the database layer goes completely wrong I will get an SQLException of some sort. In your point of view the web application (being the topmost layer) will catch this exception in the end.

This defeats the entire purpose of having a multitier (3+) architecture. I'm now dependent on the database layer in the web layer, because all exceptions are thrown all the way upwards.

The point of the PersistenceException is that it keeps the tiers independent from each other, except for the tier beneath it. The web layer doesn't care if it's an SQLException. It only needs to know something went wrong with the business logic, and more specifically with the persistence of business data objects.

In any case, the 'business code' knows more of what to do than the layers above it. If it can't do anything meaningful with it, you can either log it or perform some other action. The question is: what would a layer above it (eg. the web layer) know more of what to do than the business layer?

Exceptions Methods

 ollowing is the list of important medthods available in the Throwable class.
SNMethods with Description
1public String getMessage()
Returns a detailed message about the exception that has occurred. This message is initialized in the Throwable constructor.
2public Throwable getCause()
Returns the cause of the exception as represented by a Throwable object.
3public String toString()
Returns the name of the class concatenated with the result of getMessage()
4public void printStackTrace()
Prints the result of toString() along with the stack trace to System.err, the error output stream.
5public StackTraceElement [] getStackTrace()
Returns an array containing each element on the stack trace. The element at index 0 represents the top of the call stack, and the last element in the array represents the method at the bottom of the call stack.
6public Throwable fillInStackTrace()
Fills the stack trace of this Throwable object with the current stack trace, adding to any previous information in the stack trace.

Effective Java Exception handling

1. Use checked exceptions when you know that or you can recover  from the exception without any side affects.
2. The best use of exceptions is to translate exception in the calling method to the exception which is more appropriate for it and you should let the cause of the exception flow from the called methods to the calling methods.
For this you should have one of the constructors of your Exception classes like
 1: // Exception with chaining-aware constructor
 2:   class HigherLevelException extends Exception {
 3:       HigherLevelException(Throwable cause) {
 4:           super(cause);
 5:       }
 6:   }
You can also use the Throwable.initCause method for this if you don’t have the constructor like the one above.
3. Don’t use the 2nd point too much if the lower level method can get away with the exception, then you should do that. Don’t overload the calling methods too much to handle the exceptions thrown by the lower methods.
4. If you are declaring your own exception class you can always include some methods or attributes which can be used to convey more about the exception when it occurs.
5. Try to reuse exceptions (comes generally when you are creating your own API). The most reusabel exceptions are
IllegalArgumentException, IllegalStateException, NullPointerException, IndexArrayOutOfBounds and some more.
6. Most importantly, use Exceptions only for Exceptional conditions. Don’t write your logic which is based on exceptions. For example, don’t do like this
 1: // wrong usage of exception handling
 2: try {
 3:     someObject.someMethod();
 4: } catch (NullPointerException npe)
 5: {
 6:     // other code
 7: }
7. If rather than Exception you can have state testing method before actually using a state-dependent method like checking iterator.hasNext() before executing the iterator.next() method is more appropriate.
8. All of the unchecked throwables you implement should subclass  RuntimeException (directly or indirectly).
9. Use runtime exceptions to indicate programming errors. The great majority of runtime exceptions indicate precondition violations. A precondition violation is simply a failure by the client of an API to adhere to the contract established by the API specification. For example, the contract for array access specifies that the array index must be between zero and the array length minus one. ArrayIndexOutOfBoundsException indicates that this precondition was violated.
10. Always declare checked exceptions individually, and document precisely the conditions under which each one is thrown using the Javadoc @throws tag. Don’t take the shortcut of declaring that a method throws some superclass of multiple exception classes that it can throw. As an extreme example, never declare that a method “throws Exception” or, worse yet, “throws Throwable.”
11.Use the Javadoc @throws tag to document each unchecked exception that a method can throw, but do not use the throws keyword to include unchecked exceptions in the method declaration.  It is important that the programmers using your API be aware of which exceptions are checked and which are unchecked, as their responsibilities differ in these two cases. The documentation    generated by the Javadoc @throws tag in the absence of the method header generated by the throws declaration provides a strong visual clue to help the programmer distinguish checked exceptions from unchecked.
12. If an exception is thrown by many methods in a class for the same reason, it is acceptable to document the exception in the class’s documentation comment rather than documenting it individually for each method. A common example is NullPointerException. It is fine for a class’s documentation comment to say, “All methods in this class throw a NullPointerException if a null object reference is passed in any parameter,” or words to that effect.
13. To capture the failure, the detail message of an exception should contain the values of all parameters and fields that “contributed to the exception. You must write the toString() method of your exception carefully.
14. Failure Atomicity(Object remains in consistence state after a failure)-
ways to achieve failure atomicity:
a. A closely related approach to achieving failure atomicity is to order the computation so that any part that may fail takes place before any part that modifies the object.
b. This approach is a natural extension of the previous one when arguments cannot be checked without performing a part of the computation.
c. A third and far less common approach to achieving failure atomicity is to write recovery code that intercepts a failure that occurs in the midst of an operation and causes the object to roll back its state to the point before the operation began. This approach is used mainly for durable (disk-based) data structures.
d.A final approach to achieving failure atomicity is to perform the operation on a temporary copy of the object and to replace the contents of the object with the temporary copy once the operation is complete. This approach occurs naturally when the computation can be performed more quickly  once the data has been stored in a temporary data structure. For example, Collections.sort dumps its
input list into an array prior to sorting to reduce the cost of accessing elements in the inner loop of the sort. This is done for performance, but as an added benefit, it ensures that the input list will be untouched if the sort fails.
As a rule, any generated exception that is part of a method’s specification should leave the object in the same state it was in prior to the method invocation. Where this rule is violated, the API documentation should clearly indicate what state the object will be left in.
15. An empty catch block defeats the purpose of exceptions, which is to force you to handle exceptional conditions. At the very
least, the catch block should contain a comment explaining why it is appropriate to ignore the exception.

Monday, 26 December 2011

Extend Thread vs implement Runnable

There are two ways to create your own thread type: subclass java.lang.Thread class, or implementing java.lang.Runnable and pass it to Thread constructor or java.util.concurrent.ThreadFactory. What is the difference, and which one is better?
1, The practical reason is, a Java class can have only one superclass. So if your thread class extends java.lang.Thread, it cannot inherit from any other classes. This limits how you can reuse your application logic.
2, From a design point of view, there should be a clean separation between how a task is identified and defined, between how it is executed. The former is the responsibility of a Runnalbe impl, and the latter is job of the Thread class.
3, A Runnable instance can be passed to other libraries that accept task submission, e.g., java.util.concurrent.Executors. A Thread subclass inherits all the overhead of thread management and is hard to reuse.
4, Their instances also have different lifecycle. Once a thread is started and completed its work, it's subject to garbage collection. An instance of Runnalbe task can be resubmitted or retried multiple times, though usually new tasks are instantiated for each submission to ease state management.

Thursday, 22 December 2011

O(n) for operations on Java collections


Collection Interfaces - Java Collection Diagrams


And when we include maps:

One java - 2 compilers (Javac and JIT)

It seems like that for students there is a lot of confusion regarding how Java/The JVM works because there are TWO compilers involve, so when someone mentions a compiler or the Just In Time compiler some of them would imagine it’s the same one, the Java Compiler..

So how does it really works?

It’s simple..

1) You write Java code (file.java) which compiles to “bytecode“, this is done using the ‘javac” the 1st compiler.

It’s well known fact that Java can be written once get compiled and run anywhere (on any platform) which mean that different types of JVM can get installed over any type of platform and read the same good old byte code

2) Upon execution of a Java program (the class file or Jar file that consists of some classes and other resources) the JVM should somehow execute the program and somehow translate it to the specific platform machine code.

In the first versions of Java, the JVM was a “stupid” interprater that executes byte-code line by line….that was extremely slow…people got mad, there were a lot of “lame-java, awesome c” talks…and the JVM guys got irratated and reinvented the JVM.

the “new” JVM initially was available as an add-on for Java 1.2 later it became the default Sun JVM (1.3+).

So what did they do? they added a second compiler.. Just In Time compiler(aka JIT)..

Instead of interpreting line by line, the JIT compiler compiles the byte-code to machine-code right after the execution..

Moreover, the JVM is getting smarter upon every release, it “knows” when it should interpat the code line-by-line and what parts of the code should get compiled beforehand (still on runtime).

It does that by taking real-usage statistics, and a long-list of super-awesome heuristics..

The JVM can get configured by the user in order to disable/enable some of those heuristics..

To summarize, In order to execute java code, you use two different compilers, the first one(javac) is generic and compiles java to bytecode, the second(jit) is platform-dependent and compiles some portions of the bytecode to machine-code in runtime!

Optimizing and Speeding up the code in Java

Finalizers: object that overwrites the finalize() method (“Called by the garbage collector on an object when garbage collection determines that there are no more references to the object.”) is slower!(for both allocation and collection) if it’s not a must, do clean ups in other ways ( e.g. in JDBC close the connection using the try-catch-finally block instead)

New is expensive: creating new heavy object() on the heap is expensive!, it’s recommended to recycle old objects (by changing their fields) or use the flyweight design pattern.

Strings : (1) Strings are immutable which mean that upon usage of the + operator between 2 strings the JVM will generate a new String(s1+s2) on the heap (expensive as I just mentioned), in order to avoid that, it’s recommended to use the StringBuffer.(Update) since JDK 1.5 was introduced  StringBuilder is a better option than Stringbuffer in a single-threaded environment.

(2) Don’t convert your strings to lower case in order to compare them, use String.equalIgnoreCase() instead.

(3) String.startswith() is more expensive than String.charat(0) for the first character.

Inline method: inline is a compiler feature, when you call a method from anywhere in your code, the compiler copies the content of the inline method and replace the line that calls the method with it.

Obviously,It saves runtime time: (1) there is no need to call a method (2) no dynamic dispatch.

In some languages you can annotate a method to be inline, yet in Java it’s impossible, it’s the compiler decision.

the compiler will consider inline a method if the method is private.

My recommendation is to search in your code for methods that are heavily used(mostly in loops) and annotate those method as private if possible.

Don’t invent the wheel: the java api is smart and sophisticated and in some cases use native implementation, code that you probably can’t compete with. unless you know what you are doing (performance wise) don’t rewrite methods that already exists in the java API. e.g. benchmarks showed that coping and array using a for loop is at least n/4 times slower than using System.arraycopy()

Reflection: reflection became much faster for those of you who use the most recent JVMs, yet using reflection is most certainly slower than not using it. which mean that you better avoid reflection if there is no need.

Synchronization: Some data structures auto-support concurrency, in case of a single thread application don’t use those to avoid overhead e.g. use ArrayList instead of a Vector

Multithreads: in case of a multi processor use threads, it will defiantly speed up your code, if you are not a thread expert some compilers know how to restructure your code to thread automatically for you. you can always read a java threads tutorial as well

Get familiar with the standard data structures:   e.g. if you need a dast for puting and retriving objects use HashMap and not an ArrayList. (O(1))

Add an id field, for faster equals(): object that contains many fields are hard to compare ( equals() wise), to avoid that add an id(unique) field to your object and overwrite the equals() method to compare ids only.

Be careful, In case  your code already works, optimizing it is a sure way to create new bugs and make your code less maintainable!

it’s highly recommended to time your method before and after an optimization.

Sunday, 9 October 2011

Divide by Zero in case of Java

One of the good interview questions I found was related to divide by zero.
Lets take the case:

What will be the output of this code snippet?

public class NaN {

public static void main(String[] args) {
double d = 2.0 / 0.0;
System.out.println(d);
}
}

What's the answer: The code will not compile or will it throw a DivideByZero error? Both are wrong. The code compiles fine and the output is,
Infinity

Let's check another code snippet,

public class NaN {

public static void main(String[] args) {
double d = 0.0 / 0.0;
System.out.println(d);
}
}

The output in this case is,
NaN

Saturday, 8 October 2011

Hello World in Ruby using Netbeans

After getting a decent knowledge of what Ruby is and the useful resources that are available, lets get into action by creating our first hello world program.

Ruby and Ruby on Rails development becomes amazingly easy using Netbeans IDE where you can perform almost all the tasks in one single IDE. Download and install the Netbeans-Ruby version. You should be having JDK installed in your box, thats pretty much the pre-requisite for Netbeans to install.

OR you can simply download the complete version of netbeans and install ruby plugins.

Download the ruby from here. Extract it to some location, Say C:\\ruby
Now create new project.
Launch Netbeans go to File --> New Project. A new project wizard should come up. Select Ruby Application i.e. C:ruby\bin., click Next and click Finish. Thats it!!!!
You dont even have to type a Hello World. The new project template does it for you! So sweet isnt it? Now, click on the big green Run button and the console should print out Hello World without a hitch.

Now just run the program :)

installing RadRails on Eclipse

I could not find a proper answer when i wanted to install RadRails on eclipse . This is how it is done , .... in the Eclipse menu go to
Help-->Software Updates --> Find and Install....
then in the pop - up window which appears ,..
Search for new features to install
and then click next and then u will have to add 2 new remote sites, .. the details for the sites are the ones which were very difficult to obtain , they are
site 1 :
Name :RadRails
URL : http://radrails.sourceforge.net/update
site 2 :
Name :RDT
URL : http://updatesite.rubypeople.org/release
then click on finish , u are almost done with the installation , u have to just follow the instructions from here on to finish the installation .
This entry was posted on Friday, May 16, 2008 at 8:37 PM and is filed under , , . You can follow any responses to this entry through the comments feed .

Thursday, 22 September 2011

Shallow Copy and Deep Copy

There are two ways to make a copy of an object called shallow copy and deep copy.
Here is what they mean:

Shallow Copy
Shallow copy is a bit-wise copy of an object. A new object is created that has an exact copy of the values in the original object. If any of the fields of the object are references to other objects, just the references are copied. Thus, if the object you are copying contains references to yet other objects, a shallow copy refers to the same subobjects.

Deep Copy
Deep copy is a complete duplicate copy of an object. If an object has references to other objects, complete new copies of those objects are also made. A deep copy generates a copy not only of the primitive values of the original object, but copies of all subobjects as well, all the way to the bottom. If you need a true, complete copy of the original object, then you will need to implement a full deep copy for the object.
Shallow Copy
Shallow Copy
Deep Copy
Deep Copy

You may like : 
Design patterns using shallow copy and deep copy - Prototype pattern
Shallow and deep copy using clone

Feelings today


Thursday, 14 July 2011

The Value of String.valueOf

Most Java developers have probably had their fill of NullPointerException. Most of us have learned the value of doing certain things to reduce our "opportunities" of encountering the NullPointerException. Indeed, there is a Wiki page dedicated to preventing or reducing NullPointerExceptions.

Several people have argued for additional language support for improved and easier handling of potential null. These include Java SE 7 proposals, Optimized Null Check, and Kinga Dobolyi's thesis Changing Java’s Semantics for Handling Null Pointer Exceptions.

Among the many things we can already do rather easily to reduce our encounters with NullPointerException, one particular easy thing to do is to apply String.valueOf(Object) when appropriate. The String.valueOf(Object) method, as its Javadoc-generated documentation states, returns "null" if the passed in object is null and returns the results on the passed-in Object's toString() call if the passed-in Object is not null. In other words, String.valueOf(String) does the null checking for you.

The use of String.valueOf(Object) is particularly useful when implementing toString methods on custom classes. Because most toString implementations provide the class's data members in String format, String.valueOf(Object) is a natural fit. All Java objects based on classes that extend Object provide a toString() implementation even if it is simply their parent's (or even Object's) implementation of toString(). However, if a member class implements toString but the member itself is null rather than an instance of the class, then the toString() does no good (and actually leads to a NullPointerException when called).

This is demonstrated with the following example code.

Consider a class called PersonName, which holds last name and first name of the person:

package com.vaani.string;

/**
* Class upon which to call toString.
*/
public class PersonName
{
private String lastName;
private String firstName;

public PersonName(final String newLastName, final String newFirstName)
{
lastName = newLastName;
firstName = newFirstName;
}

/**
* Provide String representation of me.
*
* @return My String representation.
*/
@Override
public String toString()
{
return firstName + " " + lastName;
}
}


Person.java


package com.vaani.string;



public class Person
{
private PersonName name;

public Person( PersonName newName)
{
name = newName;
}



/**
* Provide String representation of me.
*
* @return My String representation.
*/
public String toString()
{
//to be implemented
}
}


Now this person.java has toString() which is to be implemented, but we will see how it throws NPE. Consider the main method:


PersonName personName = new PersonName("Flintstone", null);
//print personname as string
System.out.println("Person's Name [DIRECT]: " + personName);
System.out.println("Person's Name [TOSTRING]: " + personName.toString());
System.out.println("Person's Name [STRING.VALUEOF]: " + String.valueOf(personName));
Output will be:

Person's Name         [DIRECT]: null Flintstone
Person'
s Name [TOSTRING]: null Flintstone
Person's Name [STRING.VALUEOF]: null Flintstone

Now consider the toString() func is represented as

Also if we call Person's constructor with personName(instance created above), everything will still be fine:

PersonName name;
//code skipped
public String toString()
{
// Don't use -- can lead to runtime error (NullPointerException)
return name.toString();
}

Now as we did earlier:

PersonName personName = new PersonName("Flintstone", null);

//create next object from personName
Person personOne = new Person(personName);
System.out.println("Person One [DIRECT]: " + personOne);
System.out.println("Person One [TOSTRING]: " + personOne.toString());
System.out.println("Person One [STRING.VALUEOF]: " + String.valueOf(personOne));

This will work fine because of personName will return its toString() func, and dont throw any NPE. But this will result in bang:

Person personTwo = new Person(null);
System.out.println("Person Two [DIRECT]: " + personTwo);
System.out.println("Person Two [TOSTRING]: " + personTwo.toString());
System.out.println("Person Two [STRING.VALUEOF]: " + String.valueOf(personTwo));
Each of this above line throws exception. So please be aware of this. To avoid null pointer exception you can implement toString() func of Person like this:

public String toString()
{
// It's all good
return String.valueOf(name);
}
Now the personTwo will be printed as null.
Full code listing for Person.java(personName.java is already covered):

package com.vaani.string;



public class Person
{
private PersonName name;

public Person( PersonName newName)
{
name = newName;
}



/**
* Provide String representation of me.
*
* @return My String representation.
*/
public String toString()
{
// Don't use -- leads to compiler time error (incompatible types)
//return name;

// Don't use -- can lead to runtime error (NullPointerException)
//return name.toString();

// It's all good
return String.valueOf(name);
}
}

main method to run this code:

package com.vaani.string;

import java.io.IOException;
import java.io.OutputStream;
import java.util.logging.Logger;

/**
* Example class demonstrating use of String representations available through
* implicit String, toString(), and String.valueOf().
*/
public class StringValueFunc
{
private static final String NEW_LINE = System.getProperty("line.separator");

/** Using java.util.logging. */
private static Logger LOGGER = Logger.getLogger(
StringValueFunc.class.getName());

/**
* Main function for running tests/demonstrations.
*
* @param arguments Command-line arguments; none anticipated.
*/
public static void main(final String[] arguments)
{
//takes last name and first name
PersonName personName = new PersonName("Flintstone", null);

//create next object from personName
Person personOne = new Person(personName);
//just initiate to null
Person personTwo = new Person(null);
printHeader("String representation of direct Strings", System.out);

System.out.println("Person's Name [DIRECT]: " + personName);
System.out.println("Person's Name [TOSTRING]: " + personName.toString());
System.out.println("Person's Name [STRING.VALUEOF]: " + String.valueOf(personName));
printBlankLine(System.out);

printHeader("String representation of non-null complex object", System.out);

System.out.println("Person One [DIRECT]: " + personOne);
System.out.println("Person One [TOSTRING]: " + personOne.toString());
System.out.println("Person One [STRING.VALUEOF]: " + String.valueOf(personOne));
printBlankLine(System.out);

printHeader("String representation of null complex object", System.out);

System.out.println("Person Two [DIRECT]: " + personTwo);
System.out.println("Person Two [TOSTRING]: " + personTwo.toString());
System.out.println("Person Two [STRING.VALUEOF]: " + String.valueOf(personTwo));
printBlankLine(System.out);
}

public static void printHeader(final String message, final OutputStream out)
{
final String headerSeparator =
"====================================================================";

try
{
out.write((headerSeparator + NEW_LINE + message + NEW_LINE).getBytes());
out.write((headerSeparator + NEW_LINE).getBytes());
}
catch (IOException ioEx)
{
System.out.println(headerSeparator);
System.out.println(message);
System.out.println(headerSeparator);
LOGGER.warning("Could not write header information to provided OutputStream.");
}
}

public static void printBlankLine(final OutputStream out)
{
try
{
out.write(NEW_LINE.getBytes());
}
catch (IOException ioEx)
{
System.out.println(NEW_LINE);
LOGGER.warning("Could not write blank line to provided OutputStream.");
}
}


}

The above code can be used to demonstrate building of a toString method on a complex object and how its behaves when called by an owning class. The method of most interest is at the bottom of the code shown above. Two return values are commented out because of problems associated with them. The final example, using String.valueOf(Object) is NOT commented out because it works the best each time it is run whether or not the complex PersonName object is null. The next three images show the output for each of these presentations of the Person objects' String representations.











Finally, the String class provides many overloaded valueOf methods. In addition to the version that was the focus of this blog post (accepts an Object), the other overloaded versions of valueOf accept primitive data types and arrays of primitive data types.
Conclusion
Regardless of what the future brings in terms of improved null handling in Java, there are many tactics we can take today to reduce the unwanted (sometimes we actually do want them thrown!) occurrences of NullPointerException. One of these is to use String.valueOf(Object) when appropriate.

Additional Resources

Effective Java : How to Avoid NPE / Null Pointer Exception in java?

It doesn't take much Java development experience to learn firsthand what the NullPointerException is about. In fact, one person has highlighted dealing with this as the number one mistake Java developers make. I blogged previously on use of String.value(Object) to reduce unwanted NullPointerExceptions. There are several other simple techniques one can use to reduce or eliminate the occurrences of this common type of RuntimeException that has been with us since JDK 1.0. This blog post collects and summarizes some of the most popular of these techniques.

Check Each Object For Null Before Using

The most sure way to avoid a NullPointerException is to check all object references to ensure that they are not null before accessing one of the object's fields or methods. As the following example indicates, this is a very simple technique.

final String causeStr = "adding String to Deque that is set to null.";
final String elementStr = "Fudd";
Deque<String> deque = null;

try
{
deque.push(elementStr);
log("Successful at " + causeStr, System.out);
}
catch (NullPointerException nullPointer)
{
log(causeStr, nullPointer, System.out);
}

try
{
if (deque == null)
{
deque = new LinkedList<String>();
}
deque.push(elementStr);
log( "Successful at " + causeStr
+ " (by checking first for null and instantiating Deque implementation)",
System.out);
}
catch (NullPointerException nullPointer)
{
log(causeStr, nullPointer, System.out);
}

In the code above, the Deque used is intentionally initialized to null to facilitate the example. The code in the first try block does not check for null before trying to access a Deque method. The code in the second try block does check for null and instantiates an implementation of the Deque (LinkedList) if it is null. The output from both examples looks like this:

ERROR: NullPointerException encountered while trying to adding 
String to Deque that is set to null.
java.lang.NullPointerException
INFO: Successful at adding String to Deque that is set to null.
(by checking first for null and instantiating Deque implementation)

The message following ERROR in the output above indicates that a NullPointerException is thrown when a method call is attempted on the null Deque. The message following INFO in the output above indicates that by checking Deque for null first and then instantiating a new implementation for it when it is null, the exception was avoided altogether.

This approach is often used and, as shown above, can be very useful in avoiding unwanted (unexpected) NullPointerException instances. However, it is not without its costs. Checking for null before using every object can bloat the code, can be tedious to write, and opens more room for problems with development and maintenance of the additional code. For this reason, there has been talk of introducing Java language support for built-in null detection, automatic adding of these checks for null after the initial coding, null-safe types, use of Aspect-Oriented Programming (AOP) to add null checking to byte code, and other null-detection tools.

Groovy already provides a convenient mechanism for dealing with object references that are potentially null. Groovy's safe navigation operator (?.) returns null rather than throwing a NullPointerException when a null object reference is accessed.

Because checking null for every object reference can be tedious and does bloat the code, many developers choose to judiciously select which objects to check for null. This typically leads to checking of null on all objects of potentially unknown origins. The idea here is that objects can be checked at exposed interfaces and then be assumed to be safe after the initial check.

This is a situation where the ternary operator can be particularly useful. Instead of
// retrieved a BigDecimal called someObject
String returnString;
if (someObject != null)
{
returnString = someObject.toEngineeringString();
}
else
{
returnString = "";
}

the ternary operator supports this more concise syntax

// retrieved a BigDecimal called someObject
final String returnString = (someObject != null)
? someObject.toEngineeringString()
: "";
}

Check Method Arguments for Null

The technique just discussed can be used on all objects. As stated in that technique's description, many developers choose to only check objects for null when they come from "untrusted" sources. This often means testing for null first thing in methods exposed to external callers. For example, in a particular class, the developer might choose to check for null on all objects passed to public methods, but not check for null in private methods.

The following code demonstrates this checking for null on method entry. It includes a single method as the demonstrative method that turns around and calls two methods, passing each method a single null argument. One of the methods receiving a null argument checks that argument for null first, but the other just assumes the passed-in parameter is not null.

/**
    * Append predefined text String to the provided StringBuilder.
    *
    * @param builder The StringBuilder that will have text appended to it; should
    * be non-null.
    * @throws IllegalArgumentException Thrown if the provided StringBuilder is
    * null.
    */
private void appendPredefinedTextToProvidedBuilderCheckForNull(
final StringBuilder builder)
{
if (builder == null)
{
throw new IllegalArgumentException(
"The provided StringBuilder was null; non-null value must be provided.");
}
builder.append("Thanks for supplying a StringBuilder.");
}

/**
    * Append predefined text String to the provided StringBuilder.
    *
    * @param builder The StringBuilder that will have text appended to it; should
    * be non-null.
    */
private void appendPredefinedTextToProvidedBuilderNoCheckForNull(
final StringBuilder builder)
{
builder.append("Thanks for supplying a StringBuilder.");
}

/**
    * Demonstrate effect of checking parameters for null before trying to use
    * passed-in parameters that are potentially null.
    */
public void demonstrateCheckingArgumentsForNull()
{
final String causeStr = "provide null to method as argument.";
logHeader("DEMONSTRATING CHECKING METHOD PARAMETERS FOR NULL", System.out);

try
{
appendPredefinedTextToProvidedBuilderNoCheckForNull(null);
}
catch (NullPointerException nullPointer)
{
log(causeStr, nullPointer, System.out);
}

try
{
appendPredefinedTextToProvidedBuilderCheckForNull(null);
}
catch (IllegalArgumentException illegalArgument)
{
log(causeStr, illegalArgument, System.out);
}
}

When the above code is executed, the output appears as shown next.
ERROR: NullPointerException encountered while trying to provide null to 
method as argument.
java.lang.NullPointerException
ERROR: IllegalArgumentException encountered while trying to provide null
to method as argument.
java.lang.IllegalArgumentException: The provided StringBuilder was null;
non-null value must be provided.


In both cases, an error message was logged. However, the case in which a null was checked for threw an advertised IllegalArgumentException that included additional context information about when the null was encountered. Alternatively, this null parameter could have been handled in a variety of ways. For the case in which a null parameter was not handled, there were no options for how to handle it. Many people prefer to throw a NullPolinterException with the additional context information when a null is explicitly discovered (see Item #60 in the Second Edition of Effective Java or Item #42 in First Edition), but I have a slight preference for IllegalArgumentException when it is explicitly a method argument that is null because I think the very exception adds context details and it is easy to include "null" in the subject.

The technique of checking method arguments for null is really a subset of the more general technique of checking all objects for null. However, as outlined above, arguments to publicly exposed methods are often the least trusted in an application and so checking them may be more important than checking the average object for null.

Checking method parameters for null is also a subset of the more general practice of checking method parameters for general validity as discussed in Item #38 of the Second Edition of Effective Java (Item 23 in First Edition).


Consider Primitives Rather than Objects

I don't think it is a good idea to select a primitive data type (such as int) over its corresponding object reference type (such as Integer) simply to avoid the possibility of a NullPointerException, but there is no denying that one of the advantages of primitive types is that they do not lead to NullPointerExceptions. However, primitives still must be checked for validity (a month cannot be a negative integer) and so this benefit may be small. On the other hand, primitives cannot be used in Java Collections and there are times one wants the ability to set a value to null.

The most important thing is to be very cautious about the combination of primitives, reference types, and autoboxing. There is a warning in Effective Java (Second Edition, Item #49) regarding the dangers, including throwing of NullPointerException, related to careless mixing of primitive and reference types.


Carefully Consider Chained Method Calls

A NullPointerException can be very easy to find because a line number will state where it occurred. For example, a stack trace might look like that shown next:

java.lang.NullPointerException
at dustin.examples.AvoidingNullPointerExamples.
demonstrateNullPointerExceptionStackTrace(AvoidingNullPointerExamples.java:222)
at dustin.examples.
AvoidingNullPointerExamples.main(AvoidingNullPointerExamples.java:247)

The stack trace makes it obvious that the NullPointerException was thrown as a result of code executed on line 222 of AvoidingNullPointerExamples.java. Even with the line number provided, it can still be difficult to narrow down which object is null if there are multiple objects with methods or fields accessed on the same line.

For example, a statement like someObject.getObjectA().getObjectB().getObjectC().toString(); has four possible calls that might have thrown the NullPointerException attributed to the same line of code. Using a debugger can help with this, but there may be situations when it is preferable to simply break the above code up so that each call is performed on a separate line. This allows the line number contained in a stack trace to easily indicate which exact call was the problem. Furthermore, it facilitates explicit checking each object for null. However, on the downside, breaking up the code increases the line of code count (to some that's a positive!) and may not always be desirable, especially if one is certain none of the methods in question will ever be null.


Make NullPointerExceptions More Informative

In the above recommendation, the warning was to consider carefully use of method call chaining primarily because it made having the line number in the stack trace for a NullPointerException less helpful than it otherwise might be. However, the line number is only shown in a stack trace when the code was compiled with the debug flag turned on. If it was compiled without debug, the stack trace looks like that shown next:

java.lang.NullPointerException
at dustin.examples.AvoidingNullPointerExamples.
demonstrateNullPointerExceptionStackTrace(Unknown Source)
at dustin.examples.AvoidingNullPointerExamples.main(Unknown Source)

As the above output demonstrates, there is a method name, but not no line number for the NullPointerException. This makes it more difficult to immediately identify what in the code led to the exception. One way to address this is to provide context information in any thrown NullPointerException. This idea was demonstrated earlier when a NullPointerException was caught and re-thrown with additional context information as a IllegalArgumentException. However, even if the exception is simply re-thrown as another NullPointerException with context information, it is still helpful. The context information helps the person debugging the code to more quickly identify the true cause of the problem.

The following example demonstrates this principle.

final Calendar nullCalendar = null;

try
{
final Date date = nullCalendar.getTime();
}
catch (NullPointerException nullPointer)
{
log("NullPointerException with useful data", nullPointer, System.out);
}

try
{
if (nullCalendar == null)
{
throw new NullPointerException("Could not extract Date from provided Calendar");
}
final Date date = nullCalendar.getTime();
}
catch (NullPointerException nullPointer)
{
log("NullPointerException with useful data", nullPointer, System.out);
}

The output from running the above code looks as follows.

ERROR: NullPointerException encountered while trying to NullPointerException 
with useful data
java.lang.NullPointerException
ERROR: NullPointerException encountered while trying to
NullPointerException with useful data
java.lang.NullPointerException: Could not extract Date from provided Calendar

The first error does not provide any context information and only conveys that it is a NullPointerException. The second error, however, had explicit context information added to it which would go a long way in helping identify the source of the exception.


Use String.valueOf Rather than toString

As described previously, one of the surest methods for avoiding NullPointerException is to check the object being referenced for null first. The String.valueOf(Object) method is a good example of a case where this check for null can be done implicitly without any additional effort on the developer's part. I blogged on this previously, but include a brief example of its use here.

 


Source : Inspired by actual events