Introduction to Nodejs and Isomorphic javascript

Jan 17, 20150 likes1,727 views

This document discusses asynchronous programming, Node.js, and isomorphic JavaScript web frameworks. It describes how Node.js uses asynchronous and event-driven programming to handle requests without blocking. It also explains how isomorphic frameworks allow JavaScript code to run on both the client-side and server-side, allowing code reuse and initial page rendering from the server. Traditional frameworks are compared to single page applications and how isomorphic frameworks address some of the challenges with SEO and duplicate code.

Node JS and
Isomorphic Javascript
Jasper

Outline
• Asynchronous Programming

• Concept of Node JS

• Revolution of Web Framework

• Isomorphic Javascript Web Framework

Asynchronous
Programming
Task1 I/O: waiting
Task1: Data Processing
Task2: Data Processing
Task2: I/O: waiting

Asynchronous
Programming
Task1 I/O: waiting
Task 1: Data Processing
Task 2: Data Processing
Task 1: Callback

Asynchronous
Programming
• Compared with multithreading:

• Cons:

• Service is blocked when
encountering heavy CPU computing.

• Pros:

• Don’t need to maintain thread state

• Don’t suffer from context switching

Asynchronous
Programming
• HTTP request processed by web server.

!
!
!
!
!
route a request
query a DB
process results
write a log
format response

Asynchronous
Programming
• Popular project based on asynchronous
programming

• Node JS

• Twisted

• Tornado

Node JS
• Server-side JS runtime based onV8

• Single thread.

• Asynchronous programming - libuv

Node JS
Event Loop
Event Queue Thread Pool
Network
File System
...
CallbackEvents

Node JS
• As a web server on multi-core host

• Run a node JS web server process per
core

• A load balancer ahead of them.

Traditional Web
Framework
• ModelView Controller(MVC)

• Rails/Django/CodeIngiter

!
!
!
!
Controller Model
View
Browser Request Execute Data
Data Returned
Data ReturnedResponseView
Browser Response

Modern Single Page
Application
• Front-end MVC framework with pure API
server.

!
!
!
!
Web App
Mobile App
API
• Pure Javascript MVC Framework

• Angular

• Ember

• Backbone

• ...

Modern Single Page
Application
• Pros:

• Without refresh the page when browsing the page

• Separate pure data from business logic

• Cons:

• SEO

• Performance depend on users’ end devices

• Twitter

• Duplicate logic(URL routing, validation, ...etc.)

Isomorphic Javascript
• A concept of JS web framework that shares
Javascript run on both client side and
server side.

• Reuse all codes

• Flexible for developer

• Bootstrap initial page via server
rendering.

• Font-end rendering/Back-end rendering

Isomorphic Javascript
• Web framework with Isomorphic conecpts

• Meteor - Meteor.com

• Derby

• Rendr - Airbnb

• Even use React + Flux

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Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185

GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise. https://arxiv.org/abs/2501.16495

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Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.