Result for D16B88AE9C15596C85AAAF9C01E753E6D50D92E0

Query result

Key Value
FileNamerubygem-puma.spec
FileSize3538
MD5E7948099A03D739AC26BD5EB789C8B7C
SHA-1D16B88AE9C15596C85AAAF9C01E753E6D50D92E0
SHA-25636F8EA64A853C145EFA5476B9B4696655484F07A7A43F30B710B6CFF1ED132DB
SSDEEP96:luUBv1FDeH8A7H8MPiTUgAV2wTCQF60E5wF8KGIRk:k4TeH7pAuC5w+IRk
TLSHT1E871EA9B47AA127343828583BB65A59E935DC26DB36240A3F46C4988330763CA3B35FD
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
MD52AC30E791552B9C5D4E0DF49616AB66C
PackageArchaarch64
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
PackageReleaselp153.3.21
PackageVersion1.6.3
SHA-120C9296C2B8BBBCBEEFE90DF145515BC89865FB3
SHA-2562EB78ED685F2ABA85833532349D0972A1414F0AEFADB91CCBF67D50797F3CDC8