Ruby\RoR News Digest 21-26.07

Let’s check what happened in Ruby and Rails programming this week and learn about latest updates and news  
26 July 2019   2063

Greetings! I hope your week went great! Here's new Ruby/RoR news digest.

There weren't big events or updates last week, but there's still something worth your attention.

Articles and Guides

  • Reading Ruby Metaprogramming Inside Devise 

Guide on how devise_for adds routes and helpers to your Rails app using the metaprogramming.

  • Leaky Constants 

A small thing about constants, but some may really haven't noticed it

  • Mystified by RSpec’s DSL? Some parentheses can add clarity

Simple way to wrap your head around RSpec’s often magical seeming API

  • Ruby on Whales: Dockerizing Ruby and Rails Development 

The articles on ‘dockerizing’ Rails apps, but this one is very good and results in a nice setup.

Updates

  • TTY::Logger: Structured, Attractive Logging on the Terminal

Pretty and formatted logging.

  • QueryTrack: Find Time-Consuming ActiveRecord Database Queries

Can be used with Slack to provide automated notifications with backtraces, raw SQL, time duration, etc.

Podcast

  • Build Chatbot Interactions in Ruby with Daniel Pritchett

Daniel Pritchet is a Ruby dev since 2012; he has been working on publishing a book on building Chatbots in Ruby using a framework called Lita.

GraalVM 19.0.3 to be Released

Along with a new update, virtual machine implementations for in JS, Python, Ruby and R received updates too
21 November 2019   61

Oracle has published the release of the universal virtual machine GraalVM 19.3.0, which supports running applications in JavaScript (Node.js), Python, Ruby, R, any languages ​​for JVM (Java, Scala, Clojure, Kotlin) and languages ​​for which the bitcode can be generated LLVM (C, C ++, Rust). Branch 19.3 is classified as long-term support (LTS) and is notable for JDK 11 support, including the ability to compile Java code into executable files (GraalVM Native Image). The project code is distributed under the GPLv2 license. At the same time, new versions of GraalVM-based implementations of the Python, JavaScript, Ruby, and R languages ​​— GraalPython, GraalJS, TruffleRuby, and FastR — have been released.

GraalVM provides a JIT compiler that can execute on-the-fly code of any scripting language in the JVM, including JavaScript, Ruby, Python, and R, and also makes it possible to run native code in the JVM, converted to LLVM bitcode. The tools provided by GraalVM include a language-independent debugger, a profiling system, and a memory allocation analyzer. GraalVM makes it possible to create combined applications with components in different languages, allowing you to access objects and arrays from code in other languages. For languages ​​based on the JVM, it is possible to create executable files compiled into machine code that can be executed directly with minimal memory consumption (memory and thread management are implemented through the connection of the Substrate VM framework).

GraalJS changes (full list):

  • Implemented the Promise.allSettled proposal. It is available in ECMAScript 2020 mode (--js.ecmascript-version=2020).
  • Implemented the nullish coalescing proposal. It is available in ECMAScript 2020 mode (--js.ecmascript-version=2020).
  • Updated ICU4J library to version 64.2.

GraalPython changes (full list):

  • Implement gc.{enable,disable,isenabled} as stubs
  • Implement charmap_build function
  • Implement hexversion in sys module

TruffleRuby changes (full list):

  • Compilation of C extensions is now done with an internal LLVM toolchain producing both native code and bitcode. This means more C extensions should compile out of the box and this should resolve most linker-related issues.
  • It is no longer necessary to install LLVM for installing C extensions on TruffleRuby.
  • It is no longer necessary to install libc++ and libc++abi for installing C++ extensions on TruffleRuby.

 And FastR chages (full list):

  • In this release, FastR does not ship with GCC runtime libraries. Use the following commands to install the necessary dependencies:
  • Preview of support for LLVM based execution of R native extensions
  • Fixed memory leaks reported on GitHub