Result for BCACD0EBA8C3FD432B9A0D54EEF5AEAEFB716D01

Query result

Key Value
FileNamerubygem-puma.spec
FileSize3538
MD546EAB0F1094B07D024CA3A555EA8EE38
SHA-1BCACD0EBA8C3FD432B9A0D54EEF5AEAEFB716D01
SHA-2569651C029226E9ED6E0D12CFB9DDE676E045E5DD538DF0F1C5616730E51E28994
SSDEEP96:luUBv1F1eH8A7H8MPiTUgAV2wTCQF60E5wF8KGIRk:k4FeH7pAuC5w+IRk
TLSHT16271D99B47AA127343828583BB65A59E935DC26DB36240A3F46C4988330763CA3B75FD
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
MD566B94A1957D9247EF6FCEDA64673D24B
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
PackageReleaselp152.3.11
PackageVersion1.6.3
SHA-1AE30A9BEED660824C0687378D9F259E5B6B6850A
SHA-2567725B675D3792CC03C81F51F5F9F1ECC300FCF684A2627CDEB786E9EDC3C1369