Course Content

Stream API

1. Fundamentals and Functional Capabilities of Stream API

Architecture Principles What Is a Functional Interface?Predicate: Data Filtering Challenge: Filtering Corporate Email Addresses Function: Data Transformation Challenge: Income Tax Calculation Comparable: Natural Ordering of Data Comparator: Custom Comparison of Data Challenge: Sorting Employees Consumer: Processing Data Supplier: Data Generation Bi-versions of Functional Interfaces Challenge: Filtering Users by Two Criteria BinaryOperator: Combining Two Values

2. Intermediate Operations in Stream API

Transforming Elements with the map() Method Filtering Elements with the filter() Method Challenge: Factory Product Filtering Working with Nested Structures with the flatMap() Method Arranging Items in Order with the sorted() Method Challenge: Selecting the Best Cars on the Production Line Eliminating Duplicates with the distinct() Method Challenge: Factory Quality Control Restricting and Skipping Elements with the limit() and skip() Methods Challenge: Finding the Top 3 Hardest-Working Employees Intermediate Processing with the peek() Method

3. Terminal Operations in the Stream API

collect() Gathering Stream Elements into a Collection Challenge: Build a Custom Collector for Category Counting Collectors Utility Class for Stream API Processing Elements with the forEach() Method Handling Values with the Optional Class Aggregating Elements with the reduce() Method Challenge: Calculating Total Cost with Discounts and Tax Calculating Stream Statistics with count(), max(), and min()Retrieving Stream Summary Metrics with summaryStatistics() Method Retrieving Elements from a Stream with findFirst() and findAny()Challenge: Selecting Random Products Within a Category Checking Stream Elements Against a Condition with allMatch()Challenge: Ensuring Fast Delivery for Expensive Products

4. Practical Applications of Stream API

Real-World Examples of Using Stream API Performance in Stream API Exception Handling in Stream API Summary

Architecture

Before diving into Stream API, make sure to complete the Prerequisites course, as it covers essential fundamentals you need to understand before starting this course.

It allows for sequential or parallel data processing, enabling operations such as filtering, transformation, sorting, and aggregation. Stream API makes code more concise and expressive while simplifying work with large data sets.

Core Components of Stream API Architecture

Stream API is built on the concept of data streams that pass through a chain of operations. Its architecture consists of the following key elements.

Data Source

A stream is created from various data sources, such as collections (List, Set), arrays, or even files.

We create a List of names and generate a stream from it using the stream() method. This stream can then be processed using various Stream API operations, such as filtering, mapping, or sorting.

Operations

All operations in Stream API are divided into two types: intermediate and terminal.

Intermediate operations: these operations transform a stream and return a new stream. They are lazy and only execute when a terminal operation starts;
Terminal operations: these operations complete the stream processing by returning a result or performing an action.

You will explore examples of these operations later. The key takeaway is that intermediate operations process data, while terminal operations finalize the stream processing.

Benefits of Stream API

Stream API is a powerful and versatile tool that enables developers to work efficiently with data. Understanding its architecture helps leverage its full potential, allowing you to write high-performance, concise, and readable code.

1. What is the starting point for working with Stream API?

2. Which type of operations in Stream API returns a new stream, not a result?

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Section 1. Chapter 1