어느덧 스무살이 된 자바. 좋든싫든 프로그래밍의 세계에 몸담고 있는 이상 부딪히지 않을 수 없는 언어인데요, 이 자바에 대한 올바른 모습의 이해화 앞으로 나아가야 할 방향을 모색해본다는 의미에서 "모던 자바의 역습"이라는 타이틀로 실시한 온라인 세미나의 슬라이드 자료입니다.
진행자: 김대우(http://lekdw.blogspot.kr/)
정도현(http://moreagile.net)
이번 세미나는 게임개발자이신 김대우님을 모시고 진행하게 되었는데요 자바 언어와 관련 하여 다음과 같은 주제로 두시간에 걸쳐 발표를 진행합니다.
- 간단히 살펴보는 자바20년의 발자취
- 자바를 둘러싼 진실 혹은 거짓(성능,생산성,품질)
- SI영역 이외에서 자바의 가치
- 모던자바의 역습: 자바8과 함수형 프로그래밍
- 자바 개발의 새로운 패러다임들
This presentation provides an overview of key topics in Java class design; also covers best practices/tips and quiz questions. Based on our OCP 8 book.
Functional Programming in Java 8 - Exploiting LambdasGanesh Samarthyam
The programming world is moving towards functional programming. All the major and popular programming languages (including Java, C++, C#, Swift, and Python) support functional programming. Functional programming languages such as Clojure, Scala, and F# are on the rise. This talk introduces functional programming to those who are new to this paradigm using lambda functions in Java 8. The talk will cover syntax and semantics of lambda functions, moving from external iteration to internal iteration, and how lambda functions can result in shorter and more readable code. If you are new to functional programming and want productivity gains from using Java’s lambda functions, this talk is certainly for you.
This presentation provides an overview of key topics in Java class design; also covers best practices/tips and quiz questions. Based on our OCP 8 book.
Functional Programming in Java 8 - Exploiting LambdasGanesh Samarthyam
The programming world is moving towards functional programming. All the major and popular programming languages (including Java, C++, C#, Swift, and Python) support functional programming. Functional programming languages such as Clojure, Scala, and F# are on the rise. This talk introduces functional programming to those who are new to this paradigm using lambda functions in Java 8. The talk will cover syntax and semantics of lambda functions, moving from external iteration to internal iteration, and how lambda functions can result in shorter and more readable code. If you are new to functional programming and want productivity gains from using Java’s lambda functions, this talk is certainly for you.
An overview how to realize code generation of languages on the JVM that implement other class layouts than the Java programming languages. As an example, the inline-mock-maker for Mockito is discussed which supports languages like Kotlin that make any property final by default.
Concurrent Programming in Java provides a brief overview of the following topics:
• Java language support for concurrency
• Concurrency utilities (java.util.concurrent package)
• Java collections for multithreading (java.util package)
• Parallel streams in Java 8.
Try out the examples. Source code here: https://github.com/CodeOpsTech/ConcurrentJava
Functional Thinking - Programming with Lambdas in Java 8Ganesh Samarthyam
Functional programming is on the rise. Almost all major and mainstream languages support functional programming features, including C++, Java, Swift, and Python, and Visual Basic. With Java 8’s lambda functions, Java now supports functional programming. Moving to functional programming can result in significantly better code and productivity gains. However, it requires a paradigm shift: you need to move away from imperative and object-oriented thinking to start thinking functionally. That’s what this workshop will help you achieve: it will help you make your shift towards functional programming. The workshop will introduce lambda functions in Java with examples from Java library itself. Presented in OSI Days 2015 workshop - http://osidays.com/osidays/shifting-to-functional-programming-lambdas-for-java-developers/
Java is Object Oriented Programming. Java 8 is the latest version of the Java which is used by many companies for the development in many areas. Mobile, Web, Standalone applications.
Let us explore Java 8 features and start using it in your day to day work. You will be surprised how Java has evolved to become so different yet easy & powerful. In this presentation, we discuss Java 8 Stream API.
This presentation is on advanced debugging using Java bytecodes (presented in Core Java meetup on 1st October in Accion Labs). If you are a Java developer and are interested in knowing advanced debugging techniques or understanding bytecodes, this presentation is for you.
Modern Programming in Java 8 - Lambdas, Streams and Date Time APIGanesh Samarthyam
This presentation provides a comprehensive overview of modern programming in Java. It focuses only on Java 8 features: Lambdas, Streams and Date Time API. It also briefly covers refactoring legacy Java code to Java 8.
Presentation on the new features introduced in JDK 8, presented on the 26.02.2013 in Sofia University in front of students and members of the Bulgarian java user group.
Java agents are pluggable self contained components that run embedded in a JVM and intercept the classloading process. They were introduced in Java 5 along with the powerful java.lang.instrument package. Java agents can be loaded statically at startup or dynamically (programmatically) at runtime to attach to a running process.
Java agents were an awesome addition to the JVM as it opened a lot of opportunities for tool designers and changed Java tooling landscape quite drastically. In conjunction with Java bytecode manipulation libraries it is now possible to do amazing things to Java classes: we can experiment with programming models, redefine classes at runtime, record execution flow, etc.
I’d like to give an overview of Java agents’ functionality along with the usage examples and real world experiences. You will learn, how to implement an agent and apply Instrumentation API in combination with bytecode manipulation libraries to solve interesting tasks.
Java 9 introduces modules to the Java programming language and its runtime. Despite this feature being optional, due to the modularization of the standard library existing applications might behave differently when running on a version 9 JVM. Furthermore, because of changes in the runtime, existing libraries and frameworks might not yet correctly process your modularized code. As a result, updating to a Java 9 VM and taking Java 9 into brings its challanges.
This talk discusses the practical implications of module boundaries and analyzes new limitations Java 9 imposes on the reflection API. This talk explains how reflection is used in popular frameworks like Spring and Hibernate and explains why existing applications might break or change their behavior when facing modularized code. Finally, this talk showcases alternatives to now failing Java programming patterns and weights their robustness with regard to the Java releases 10 and upward.
The presenter is an active contributor to open source and helped to migrate many popular Java libraries to supporting Java 9. As a consequence, he as been working with Java 9 for almost two years.
Java 9 버젼에서 변화된 내용들을 가볍게 정리하는 형태로 만들어봤다.
소프트웨어 캠퍼스 강사팀 4기의 발표자료 이기도 하다.
소프트웨어 캠퍼스(https://www.facebook.com/groups/softwarecamp/)는 강의와 스터디등을 통해 서로를 성장시켜갈 수 있는 커뮤니티가 되려는 곳이다.
An overview how to realize code generation of languages on the JVM that implement other class layouts than the Java programming languages. As an example, the inline-mock-maker for Mockito is discussed which supports languages like Kotlin that make any property final by default.
Concurrent Programming in Java provides a brief overview of the following topics:
• Java language support for concurrency
• Concurrency utilities (java.util.concurrent package)
• Java collections for multithreading (java.util package)
• Parallel streams in Java 8.
Try out the examples. Source code here: https://github.com/CodeOpsTech/ConcurrentJava
Functional Thinking - Programming with Lambdas in Java 8Ganesh Samarthyam
Functional programming is on the rise. Almost all major and mainstream languages support functional programming features, including C++, Java, Swift, and Python, and Visual Basic. With Java 8’s lambda functions, Java now supports functional programming. Moving to functional programming can result in significantly better code and productivity gains. However, it requires a paradigm shift: you need to move away from imperative and object-oriented thinking to start thinking functionally. That’s what this workshop will help you achieve: it will help you make your shift towards functional programming. The workshop will introduce lambda functions in Java with examples from Java library itself. Presented in OSI Days 2015 workshop - http://osidays.com/osidays/shifting-to-functional-programming-lambdas-for-java-developers/
Java is Object Oriented Programming. Java 8 is the latest version of the Java which is used by many companies for the development in many areas. Mobile, Web, Standalone applications.
Let us explore Java 8 features and start using it in your day to day work. You will be surprised how Java has evolved to become so different yet easy & powerful. In this presentation, we discuss Java 8 Stream API.
This presentation is on advanced debugging using Java bytecodes (presented in Core Java meetup on 1st October in Accion Labs). If you are a Java developer and are interested in knowing advanced debugging techniques or understanding bytecodes, this presentation is for you.
Modern Programming in Java 8 - Lambdas, Streams and Date Time APIGanesh Samarthyam
This presentation provides a comprehensive overview of modern programming in Java. It focuses only on Java 8 features: Lambdas, Streams and Date Time API. It also briefly covers refactoring legacy Java code to Java 8.
Presentation on the new features introduced in JDK 8, presented on the 26.02.2013 in Sofia University in front of students and members of the Bulgarian java user group.
Java agents are pluggable self contained components that run embedded in a JVM and intercept the classloading process. They were introduced in Java 5 along with the powerful java.lang.instrument package. Java agents can be loaded statically at startup or dynamically (programmatically) at runtime to attach to a running process.
Java agents were an awesome addition to the JVM as it opened a lot of opportunities for tool designers and changed Java tooling landscape quite drastically. In conjunction with Java bytecode manipulation libraries it is now possible to do amazing things to Java classes: we can experiment with programming models, redefine classes at runtime, record execution flow, etc.
I’d like to give an overview of Java agents’ functionality along with the usage examples and real world experiences. You will learn, how to implement an agent and apply Instrumentation API in combination with bytecode manipulation libraries to solve interesting tasks.
Java 9 introduces modules to the Java programming language and its runtime. Despite this feature being optional, due to the modularization of the standard library existing applications might behave differently when running on a version 9 JVM. Furthermore, because of changes in the runtime, existing libraries and frameworks might not yet correctly process your modularized code. As a result, updating to a Java 9 VM and taking Java 9 into brings its challanges.
This talk discusses the practical implications of module boundaries and analyzes new limitations Java 9 imposes on the reflection API. This talk explains how reflection is used in popular frameworks like Spring and Hibernate and explains why existing applications might break or change their behavior when facing modularized code. Finally, this talk showcases alternatives to now failing Java programming patterns and weights their robustness with regard to the Java releases 10 and upward.
The presenter is an active contributor to open source and helped to migrate many popular Java libraries to supporting Java 9. As a consequence, he as been working with Java 9 for almost two years.
Java 9 버젼에서 변화된 내용들을 가볍게 정리하는 형태로 만들어봤다.
소프트웨어 캠퍼스 강사팀 4기의 발표자료 이기도 하다.
소프트웨어 캠퍼스(https://www.facebook.com/groups/softwarecamp/)는 강의와 스터디등을 통해 서로를 성장시켜갈 수 있는 커뮤니티가 되려는 곳이다.
오늘날, 모든 기업활동에 있어서 IT는 코어 비즈니스를 보조하는 보조적인 역할에서 벗어나 코어 비즈니스 그 차제가 되는 경우를 쉽게 찾아볼 수 있다. 이러한 엔터프라이즈 어플리케이션 개발에 있어서 기존의 프로젝트 중심 패러다임에서 프로덕트 중심 패러다임으로 전환에 성공한 국내외의 사례를 살펴보고 이들 사례로 부터 Best Practice를 정제하여 보고자 한다.
While most bugs reveal their cause within their stack trace, Java’s OutOfMemoryError is less talkative and therefore regarded as being difficult to debug by a majority of developers. With the right techniques and tools, memory leaks in Java programs can however be tackled like any other programming error. This talks discusses how a JVM stores data, categorizes different types of memory leaks that can occur in a Java program and presents techniques for fixing such errors. Furthermore, we will have a closer look at lambda expressions and their considerable potential of introducing memory leaks when they are used incautiously.
Java is moving faster and faster. A lot of features are not as known as they should be.
Let’s review together the old ones you missed.
Then show you the ones you never had time to look at in 9, 10, 11, 12 and 13.
And go crazy to check how it’s implemented under the hood (yes, there will be bytecode).
JavaOne 2016 - Learn Lambda and functional programmingHenri Tremblay
This tutorial walks through tons of examples. You will learn everything you need to know about lambdas and functional programming in Java 8. I'm the supplier. You’re the consumer (and you will get the joke after the session).
Fighting Fear-Driven-Development With PHPUnitJames Fuller
This talk was designed for PHP developers with limited or no experience in unit testing. I focus on describing the problem of fear-driven-development, and how test-driven-development can be used to improve the quality of your code.
Finally Java SE 7 is GA and you can start using it. This talk will cover the most important new features of the language and the virtual machine. It will also cover some features that did not make it in to the SE 7 release. Finally we will discuss current state of Java as an ecosystem and my analysis and hopes for the future.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
34. private List m_list=null;
private int process_file(String str_file_name){
String str_line;
List list_lines=new ArrayList();
int i_result=read_file(str_file_name,list_lines);
if(i_result==0){
List list_record=new ArrayList();
for(int i=0;i<list_lines.size();i++){
str_line=(String)list_lines.get(i);
Record record=new Record();
i_result=parse_line(str_line,record);
if(i_result!=0){
return i_result;
}
list_recordord.add(record);
}
m_list=list_record;
return 0;
}else{
return i_result;
}
}
http://www.slideshare.net/shintanimoto/from-old-java-to-modern-java
C-ish java
35. private List resultList;
private List processFile(String fileName)throws
SystemException {
List lines = readFile(fileName);
List recordList = new ArrayList();
for (int i = 0; i < lines.size(); i++) {
String line = (String) lines.get(i);
Record record = parseLine(line);
recordList.add(record);
}
return recordList;
}
http://www.slideshare.net/shintanimoto/from-old-java-to-modern-java
Java 1.4
36. private List<Record> processFile(String fileName)throws SystemException {
List<String> lines = readFile(fileName);
List<Record> recordList = new ArrayList();
for (String line : lines) {
Record record = parseLine(line);
recordList.add(record);
}
return recordList;
}
Java 1.7 generic + foreach
43. public static <E extends Comparable<? super E>>
List<E> quickSort(List<E> arr) {
if (!arr.isEmpty()) {
E pivot = arr.get(0); //This pivot can change
to get faster results
List<E> less = new LinkedList<E>();
List<E> pivotList = new LinkedList<E>();
List<E> more = new LinkedList<E>();
for (E i: arr) {
if (i.compareTo(pivot) < 0)
less.add(i);
else if (i.compareTo(pivot) > 0)
more.add(i);
else
pivotList.add(i);
}
less = quickSort(less);
more = quickSort(more);
less.addAll(pivotList);
less.addAll(more);
return less;
}
return arr;
}
http://rosettacode.org/wiki/Sorting_algorithms/Quicksort#Java
Java 7
49. SELECT * FROM BOOK
WHERE BOOK.PUBLISHED_IN = 2011
ORDER BY BOOK.TITLE
jOOQ
create.selectFrom(BOOK)
.where(BOOK.PUBLISHED_IN.eq(2011))
.orderBy(BOOK.TITLE)
http://www.jooq.org/
52. interface DefaultInterfaceTest{
void show();
default void display(){
System.out.println("Default method from interface can have body..!");
}
}
public class DefaultInterfaceTestImpl implements DefaultInterfaceTest{
public void show(){
System.out.println("show method");
}
//we dont need to provide any implementation to default method.
public static void main(String[] args){
DefaultInterfaceTest obj = new DefaultInterfaceTestImpl();
obj.show();//out puts: show method
obj.display();//outputs : Default method from interface can have body..!
}
}
Default Method
59. interface CustomerRepository extends Repository<Customer, Long> {
@Query("select c from Customer c")
Stream<Customer> streamAllCustomers();
}
try (Stream<Customer> customers = repository.streamAllCustomers()) {
// use the stream here
}
Support for JDK 8' Stream in repository methods
60. interface CustomerRepository extends Repository<Customer, Long> {
@Async
CompletableFuture<List<Customer>> readAllBy();
}
CompletableFuture<List<Customer>> future =
repository.readAllBy().thenApply(this::doSomethingWithCustomers);
while (!future.isDone()) {
log.info("Waiting for the CompletableFuture to finish...");
TimeUnit.MILLISECONDS.sleep(500);
}
List<Customer> processedCustomers = future.get();
61. http://doc.akka.io/docs/akka/2.3.0-RC1/java/lambda-actors.html
import akka.actor.AbstractActor;
import akka.event.Logging;
import akka.event.LoggingAdapter;
import akka.japi.pf.ReceiveBuilder;
import scala.PartialFunction;
import scala.runtime.BoxedUnit;
public class MyActor extends AbstractActor {
private final LoggingAdapter log = Logging.getLogger(context().system(), this);
@Override
public PartialFunction<Object, BoxedUnit> receive() {
return ReceiveBuilder.
match(String.class, s -> s.equals("test"), s -> log.info("received test")).
matchAny(o -> log.info("received unknown message")).build();
}
}