Result for C214D343E508AAFCDC48D5074FE593E36B10E70D

Query result

Key Value
FileNamerubygem-puma.spec
FileSize3531
MD5D6BD9693047DE0C286261198DC3CAE73
SHA-1C214D343E508AAFCDC48D5074FE593E36B10E70D
SHA-25640AE7C36405620841DE6587B6DF2B187BA17AB33BA4538705A42B8CCD69B361B
SSDEEP96:luUBv1FYeH8A7H8MPiTUgAV2wTCQF60E5wF8KGIRk:k4oeH7pAuC5w+IRk
TLSHT12171EA9B47AA127343828583BB65A59E935DC26DB3624063F46C4988330763CA3B35FD
hashlookup:parent-total1
hashlookup:trust55

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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
MD5EF6EA095FB71DEC32EBC5DEA92BDEEBB
PackageArchx86_64
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
PackageRelease3.5
PackageVersion1.6.3
SHA-1C3D434903EB4FE8916B1DE9C7177EA30776A4892
SHA-25683FD7F104586C4BC4EE40D41E13F84052601AFEC391D789ACE0501A7F50B04C4