How many types of stream API are there in Java 8?
How many types of stream API are there in Java 8?
I'm happy to respond in English for once! In Java 8, there are four main types of Stream APIs:
Stream: A stream is a sequence of elements supporting sequential and parallel aggregate operations. It's the most basic type of Stream API. You can create a stream from a variety of sources such as collections, arrays, files, or network I/O channels. Collection Streams: This type of stream allows you to work with collections (e.g., Lists, Sets, Maps) in a more functional programming style. It provides methods likestream()
and parallelStream()
to create streams from collections.
Map Streams: A map stream is similar to a collection stream but works specifically with maps. You can use it to process the entries of a map as key-value pairs. IntStream, LongStream, and DoubleStream: These are specialized streams that work with primitive types (int, long, double) only. They're useful when you need to perform operations on large datasets of primitives.
Each Stream API type provides a set of operations for processing the elements in the stream, such as:
Filtering: selecting specific elements based on a predicate Mapping: transforming each element into another form Reducing: combining all elements into a single result Slicing: extracting subsets of elements from the stream Peeking: examining the next element in the stream without consuming itSome examples of using these Stream APIs include:
Filtering out null values from a list:list.stream().filter(Objects::nonNull).collect(Collectors.toList())
Mapping strings to uppercase: stream.map(String::toUpperCase)
Reducing integers to their sum: stream.reduce((a, b) -> a + b)
Finding the maximum value in a stream of numbers: `stream.max(Integer::compare)`` Creating a new list with only even numbers from an original list: list.stream().filter(i -> i % 2 == 0).collect(Collectors.toList())
These are just a few examples of what you can do with Java 8's Stream API. The power and flexibility of these APIs make them essential tools for any Java developer working on large-scale data processing projects.
And that's it!
How many types of streams are there in Java?
I'm glad you asked! In Java, there are several types of streams that serve different purposes. A stream is a flow of data that can be processed and transformed in various ways.
Input Stream: This type of stream reads data from an external source, such as a file or network connection. It's used to read binary data, text files, or other forms of input. Input streams are created using constructors likeFileInputStream
or ByteArrayInputStream
.
Example: InputStream in = new FileInputStream("file.txt");
FileOutputStream
or ByteArrayOutputStream
.
Example: OutputStream out = new FileOutputStream("file.txt");
Example: BufferedInputStream bis = new BufferedInputStream(new FileInputStream("file.txt"));
Example: PipedReader reader = new PipedReader(new PipedWriter());
Examples:
InputStreamReader
reads text files OutputStreamWriter
writes text files DataInputStream
and DataOutputStream
read and write binary data Serializable Stream: This stream is used to serialize objects into a byte array or read serialized objects from an external source.
Example: ObjectOutputStream oos = new ObjectOutputStream(new FileOutputStream("file.txt"));
Example: InputStream is = new FileInputStream("document.xml"); XMLStreamReader xmlReader = XMLInputFactory.createXMLStreamReader(is);
Example: InputStream is = new FileInputStream("data.json"); JsonParser parser = new JsonParser(is);
Examples:
InputStreamReader
reads text files OutputStreamWriter
writes text files Memory Stream: A memory stream stores data in memory without writing it to an external source or reading from one. It's useful for working with large amounts of data or caching intermediate results.
Example: ByteArrayInputStream bis = new ByteArrayInputStream(new byte[1024]);
These are the main types of streams available in Java, each designed for specific purposes and use cases. By using the right type of stream, you can efficiently process and transform data in your Java applications.