Result for C9C1FA20D7CEC62B5E977FAE6CE863E23967546F

Query result

Key Value
FileNamerubygem-puma.spec
FileSize3538
MD55FB04F2BE32D55338C6816DE42E23C70
SHA-1C9C1FA20D7CEC62B5E977FAE6CE863E23967546F
SHA-256BFDCCAE1DB1DA71862F2401CE696E9198910B3A41C9EF50883D76752C968B61F
SSDEEP96:luUBv1FWeH8A7H8MPiTUgAV2wTCQF60E5wF8KGIRk:k4meH7pAuC5w+IRk
TLSHT14A71EA9B47AA127343828583BB65A59E935DC26DB3624063F46C4988330763CA3B75FD
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
MD5297993F5E005018CF7E39287853C10B2
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
PackageReleaselp153.3.22
PackageVersion1.6.3
SHA-1D51DB72FADFB6121A3599D43E8516BECD6F0E811
SHA-256B74EC0679D27379EEF0FBC6F4D3DD4DB9733B5D6C30663B63B7E5D5CBEF97B90