Java New Stream Uncensored
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Java New Stream Uncensored
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Difficulty Level :
Hard
Last Updated :
11 Dec, 2018
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// Java program to create Stream from Collections
// Function convert a List into Stream
private static void getStream(List list)
// Create stream object with the List
Stream stream = list.stream();
// Iterate list first to last element
Iterator it = stream.iterator();
System.out.print(it.next() + " " );
public static void main(String[] args)
// Create ArrayList of String
List list = new ArrayList<>();
// Get the Stream from the List
// Java program to create Stream from values
// Function convert a List into Stream
private static void getStream()
// Create a stream from specified values
// Displaying the sequential ordered stream
stream.forEach(p -> System.out.print(p + " " ));
public static void main(String[] args)
// Get the Stream from the values
// Java program to create Stream from Collections
// Function convert a List into Stream
private static void getStream(T[] arr)
// Create stream from an array
// Iterate list first to last element
= streamOfArray.iterator();
System.out.print(it.next() + " " );
public static void main(String[] args)
= new String[] { "a" , "b" , "c" };
// Get the Stream from the Array
// Java program to create Stream from Collections
// Function convert a List into Stream
private static void getStream(T[] arr)
// Create stream from an array
Stream streamOfArray = Stream.of(arr);
// Iterate list first to last element
Iterator it = streamOfArray.iterator();
System.out.print(it.next() + " " );
public static void main(String[] args)
= new String[] { "a" , "b" , "c" };
// Get the Stream from the Array
// Java program to create empty Stream
// Function convert a List into Stream
private static void getStream()
// Create stream from an array using Stream.empty()
Stream streamOfArray
// Iterate list first to last element
= streamOfArray.iterator();
System.out.print(it.next() + " " );
public static void main(String[] args)
// Java program to create Stream from Collections
// Function convert a List into Stream
private static void getStream()
// Create stream using Stream builder()
Stream.Builder builder
// Adding elements in the stream of Strings
Stream stream = builder.add( "a" )
.add( "b" )
.add( "c" )
.build();
// Iterate list first to last element
Iterator it = stream.iterator();
System.out.print(it.next() + " " );
public static void main(String[] args)
// Get the Stream using Builder
// Java program to create infinite Stream
// Function convert a List into Stream
getStream( int seedValue, int limitTerms)
// using Stream.iterate() method
(Integer n) -> n * n)
.forEach(System.out::println);
public static void main(String[] args)
// Get the limit for number of terms
// Get the Stream from the function
getStream(seedValue, limitTerms);
// Java program to create infinite Stream
// Function convert a List into Stream
private static void getStream( int limitTerms)
// using Stream.generate() method
Stream.generate(Math::random)
.forEach(System.out::println);
public static void main(String[] args)
// Get the limit for number of terms
// Get the Stream from the function
// Java program to create Stream from Collections
// Function convert a List into Stream
getStream(List list, Pattern p)
.filter(p.asPredicate())
.forEach(System.out::println);
public static void main(String[] args)
// Create ArrayList of String
// that is backed by the specified array
.asList( "Geeks" ,
"Geek" ,
"GeeksForGeeks" ,
"A Computer Portal" );
Pattern p = Pattern.compile( "^G" );
// Get the Stream from the List matching Pattern
// Java program to create Stream from Collections
// Function convert a List into Stream
private static void getStream(Iterator itr)
// Convert the iterator into a Spliterator
.spliteratorUnknownSize(itr,
Spliterator.NONNULL);
// Convert spliterator into a sequential stream
= StreamSupport.stream(spitr, false );
// Iterate list first to last element
Iterator it = stream.iterator();
System.out.print(it.next() + " " );
public static void main(String[] args)
Iterator iterator = Arrays
.asList( "a" , "b" , "c" )
.iterator();
// Get the Stream from the Iterator
// Java program to create Stream from Collections
// Function convert a List into Stream
private static void getStream(Iterable iterable)
// Convert the iterator into a Stream
.stream(iterable.spliterator(),
false );
// Iterate list first to last element
Iterator it = stream.iterator();
System.out.print(it.next() + " " );
public static void main(String[] args)
= Arrays.asList( "a" , "b" , "c" );
// Get the Stream from the Iterable
My Personal Notes
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Character Stream Vs Byte Stream in Java
foreach() loop vs Stream foreach() vs Parallel Stream foreach()
Java Stream | Collectors toCollection() in Java
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Different Ways to Create the Instances of Wrapper Classes in Java
java.util.stream.IntStream/LongStream | Search an element
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Stream.of(T... values) in Java with examples
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The Stream API , introduced in Java 8, it is used to process collections of objects. Stream is a sequence of objects, that supports many different methods which can be pipe lined to produce the desired result.
Below is the implementation of the above approach:
Stream.of(T…t) method can be used to create a stream with the specified t values, where t are the elements. This method returns a sequential Stream containing the t elements.
Below is the implementation of the above approach:
The Stream.of() and Arrays.stream() are two commonly used methods for creating a sequential stream from a specified array. Both these methods returns a Stream when called with a non-primitive type T.
Integer array
The empty() method is used upon creation to avoid returning null for streams with no element.
The builder() method is used when the desired type should be additionally specified in the right part of the statement, otherwise the build() method will create an instance of the Stream.
The iterate() method returns an infinite sequential ordered Stream produced by iterative application of a function f to an initial element seed. In below example, First element of the resulting stream is a first parameter of the iterate method. For creating every following element the function is applied to the previous element. In the example below the second element will be 4.
The generate() method accepts a Supplier for generating elements and the resulting stream is infinite. So to restrict it, specify the desired size or the generate() method will work until it reaches the memory limit.
In java 8, the Predicate asPredicate() method of Pattern creates a predicate boolean-valued function that is used for pattern matching.
Iterators, in Java, are used in Collection Framework to retrieve elements one by one. Spliterator is the key to create the sequential stream. Hence in this method also, Spliterator is used. But in this method, the source of Spliterator is set to an Iterable created from the Iterator. So first the Iterable is created from the Iterator. Then the Spliterator is passed to the stream() method directly as Iterable.spliterator().
Iterable interface is designed keeping in mind and does not provide any stream() method on its own. Simply it can be passed into StreamSupport.stream() method, and get a Stream from the given Iterable object. It is easier to turn an Iterable into a Stream. Iterable has a default method spliterator(), which can be used to get a Spliterator instance, which can be in turn then converted to a Stream.
Note: The Iterable is not a instance of Collection, this method internally calls StreamSupport.stream() to get a sequential Stream from Spliterator else it simply calls Collection.stream() method.
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The main subject of this article is advanced data processing topics using a new functionality added to Java 8 – The Stream API and the Collector API.
To get the most out of this article you should already be familiar with the main Java APIs, the Object and String classes, and the Collection API.
The java.util.stream package consists of classes, interfaces, and many types to allow for functional-style operations over elements. Java 8 introduces a concept of a Stream that allows the programmer to process data descriptively and rely on a multi-core architecture without the need to write any special code.
A Stream represents a sequence of objects derived from a source, over which aggregate operations can be performed.
From a purely technical point of view, a Stream is a typed interface - a stream of T . This means that a stream can be defined for any kind of object , a stream of numbers, a stream of characters, a stream of people, or even a stream of a city.
From a developer point of view, it is a new concept that might just look like a Collection, but it is in fact much different from a Collection.
There are a few key definitions we need to go through to understand this notion of a Stream and why it differs from a Collection:
The most common misconception which I'd like to address first - a stream does not hold any data. This is very important to keep that in mind and understand.
There is no data in a Stream , however, there is data held in a Collection .
A Collection is a structure that holds its data. A Stream is just there to process the data and pull it out from the given source, or move it to a destination. The source might be a Collection, though it might also be an array or I/O resource. The stream will connect to the source, consume the data, and process the elements in it in some way.
A stream should not modify the source of the data it processes. This is not really enforced by the compiler of the JVM itself, so it is merely a contract. If I am to build my own implementation of a stream, I should not modify the source of the data I am processing. Although it is perfectly fine to modify the data in the stream though.
Why is that so? Because if we want to process this data in parallel, we are going to distribute it among all the cores of our processors and we do not want to have any kind of visibility or synchronization issues that could lead to bad performances or errors. Avoiding this kind of interference means that we shouldn't modify the source of the data while we're processing it.
Probably the most powerful point out of these three. It means that the stream in itself can process as much data as we want. Unbounded does not mean that a source has to be infinite. In fact, a source may be finite, but we might not have access to the elements contained in that source.
Suppose the source is a simple text file. A text file has a known size even if it is very big. Also suppose that the elements of that source are, in fact, the lines of this text file.
Now, we might know the exact size of this text file but if we do not open it and manually go through the content, we'll never know how many lines it has. This is what unbounded means - we might not always know beforehand the number of elements a stream will process from the source.
Those are the three definitions of a stream. So we can see from those three definitions that a stream really has nothing to do with a collection. A collection holds its data. A collection can modify the data it holds. And of course, a collection holds a known and finite amount of data.
We can generate a stream with the help of a few methods:
The stream() method returns the sequential stream with a Collection as its source. You can use any collection of objects as a source:
The parallelStream() method returns a parallel stream with a Collection as its source:
The thing with parallel streams is that when executing such an operation, the Java runtime segregates the stream into multiple substreams. It executes the aggregate operations and the combines the result. In our case, it calls the method with each element in the stream in parallel.
Although, this can be a double-edged sword, since executing heavy operations this way could block other parallel streams since it blocks the threads in the pool.
The static of() method can be used to create a Stream from an array of objects or individual objects:
And lastly, you can use the static .builder() method to create a Stream of objects:
By calling the .build() method, we pack the accepted objects into a regular Stream.
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A traditional approach to filtering out a single fruit would be with a classic for-each loop.
The second approach uses a Stream to filter out the elements of the Stream that match the given predic
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