Result for 6341983B784271835F44F8D5924A8D9758D60A8F

Query result

Key Value
FileNamerubygem-puma.spec
FileSize3533
MD53B32CA7D689EC78FC57D3334C26F4918
SHA-16341983B784271835F44F8D5924A8D9758D60A8F
SHA-256BBAED18CAF29091C288B6929989F4873B8D4C39EB5E3C7D0D10B1BA529B822F8
SSDEEP96:luUBv1FrLeH8A7H8MPiTUgAV2wTCQF60E5wF8KGIRk:k4XeH7pAuC5w+IRk
TLSHT11971EA9B47AA117343828583BB75A59E935DC26DB3624063F46C4988330763CA3B35FD
hashlookup:parent-total1
hashlookup:trust55

Network graph view

Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD54C2511C51724F6C69B1F7E2052211215
PackageArchi586
PackageDescriptionPuma is a simple, fast, and highly concurrent HTTP 1.1 server for Ruby web applications. It can be used with any application that supports Rack, and is considered the replacement for Webrick and Mongrel. It was designed to be the go-to server for [Rubinius](http://rubini.us), but also works well with JRuby and MRI. Puma is intended for use in both development and production environments. Under the hood, Puma processes requests using a C-optimized Ragel extension (inherited from Mongrel) that provides fast, accurate HTTP 1.1 protocol parsing in a portable way. Puma then serves the request in a thread from an internal thread pool (which you can control). This allows Puma to provide real concurrency for your web application! With Rubinius 2.0, Puma will utilize all cores on your CPU with real threads, meaning you won't have to spawn multiple processes to increase throughput. You can expect to see a similar benefit from JRuby. On MRI, there is a Global Interpreter Lock (GIL) that ensures only one thread can be run at a time. But if you're doing a lot of blocking IO (such as HTTP calls to external APIs like Twitter), Puma still improves MRI's throughput by allowing blocking IO to be run concurrently (EventMachine-based servers such as Thin turn off this ability, requiring you to use special libraries). Your mileage may vary. In order to get the best throughput, it is highly recommended that you use a Ruby implementation with real threads like [Rubinius](http://rubini.us) or [JRuby](http://jruby.org).
PackageNamerubygem-puma-1_6
PackageRelease3.303
PackageVersion1.6.3
SHA-12364CA387521AF9B224457CFF1AC22B6A0A729E7
SHA-2569BBC5031DB4602E64A015C67F4276F236D3F9CAAC0EE97EC342D64C9D1B6FD50