InfoQ

InfoQ

News

My Bookmarks

Login or Register to enable bookmarks for unlimited time.

The content has been bookmarked!

There was an error bookmarking this content! Please retry.

What Is Wrong With Ruby's Net::HTTP?

Posted by Mirko Stocker on Nov 14, 2008

Sections
Development,
Architecture & Design
Topics
Performance & Scalability ,
Ruby
Tags
HTTP ,
Ruby1.9

"What should be wrong with Ruby's Net:HTTP implementation?", one might ask. Adam Nelson was surprised by what he saw in an application that transfers huge amounts of data. "What actually happens is the CPU redlines, and the data are transferred in 1024 byte chunks.", Adam found out in his first analysis. The actual problem is that "it puts a timeout around every single rbuf_fill call," writes Alex Young, "so by default it has to spawn a new thread for every 1K of data it intends to receive".

A comparison between various implementations of Ruby and different libraries showed that Ruby 1.8.6 uses "twice as much CPU usage as the nearest competitor", that is Ruby 1.8.7, which apparently uses a larger buffer (16K). Interestingly, Ruby 1.9.0 has the lowest CPU usage, with an implementation that uses readpartial, "no timeout for socket reads" and "pre-allocated String buffer for each read". Close behind is RFuzz, a pure Ruby implementation based on the Mongrel core by Zed Shaw.

This issue isn't new, a thread on the ruby-talk mailinglist from 2006 discusses the problem and workarounds that avoid the problem for now.

In addition, this is also a good example how helpful and valuable having open source implementations can be.

No comments

Watch Thread Reply

Educational Content

Jesper Boeg on Priming Kanban

In this interview, Jesper Boeg, author of the new InfoQ book – Priming Kanban, discusses the keys to using Kanban effectively, and how to get started if you are currently using other approaches.

New-age Transactional Systems - Not Your Grandpa's OLTP

John Hugg discusses high volume transaction processing applications with high and low frequency profiles, and how VoltDB can be used for that purpose.

Cool Code

Kevlin Henney examines code samples to see what can be learned from them starting from the premise that one won’t write great code unless he knows how to read it.

Collaboration: At the Extremities of Extreme

Jason Ayers share the observations he made watching a team of developers collaborating in real time on the same code base, pushing XP, pair programming and continuous integration to their extremes.

Yesod Web Framework

Michael Snoyman presents Yesod, a web framework written in Haskell and containing a web server, templating, ORM, libraries (templating, gravatar, etc.).

Transactions without Transactions

Richard Kreuter and Kyle Banker on how to avoid classical RDBMS transactional systems by using compensation mechanisms, transactional messaging or transactional procedures.

Attila Szegedi on JVM and GC Performance Tuning at Twitter

Attila Szegedi talks about performance tuning Java and Scala programs at Twitter: how to approach GC problems, the importance of asynchronous I/O, when to use MySQL/Cassandra/Redis, and much more.

10 tips on how to prevent business value risk

One category of risk that project teams need to ensure they address is business value failure – delivering a product that fails to provide value for the business investor.