Name: Introduction to Stream API
Rating: 3.3333333333333335 (3 reviews)

学習内容

Understanding Stream API architecture and principles

Transforming data with functional interfaces

Manipulating data with Stream API operations

Implementing functional interfaces in Java

Sorting data with Comparable and Comparator

Collecting and reducing data with terminal ops

Filtering data using predicates effectively

Generating data with Supplier interfaces

Applying Stream API in real-world scenarios

コース内容

Learn to harness Stream API in Java for efficient and elegant data processing. Explore its architecture, key principles, and functional interfaces, along with powerful operations like filteri…

Discover how Stream API revolutionizes data processing in Java with its expressive and functional approach. Explore its architecture, principles, and key functional features to write concise and efficient code.

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

Learn about various intermediate operations available in the Stream API that allow you to manipulate and process data in a functional style. These operations, such as filtering, transforming, and sorting, enable you to efficiently work with collections and perform tasks like removing duplicates, limiting results, or handling nested structures. Each operation can be combined to create powerful data pipelines, making your code more concise and readable.

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

Learn about various terminal operations available in the Stream API that allow you to process and retrieve data efficiently. These operations, such as collecting, reducing, and counting, enable you to aggregate results, find specific elements, or perform side effects like printing or writing to a file. Understanding these operations helps you efficiently handle data processing tasks while keeping your code concise and expressive.

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

Discover how to apply Stream API in real-world scenarios, improving code readability and efficiency. Learn how to refactor existing code, analyze performance trade-offs, and handle exceptions properly. Will help you write cleaner and more maintainable Java code using Stream API.

Real-World Examples of Using Stream API

Performance in Stream API

Exception Handling in Stream API

Summary

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