Result for D9EE6CE48BA4A194A3BADD2DCFC01036AD98D8D8

Query result

Key Value
FileNamerubygem-puma.spec
FileSize3537
MD551CD4141EF357D8B50DB15A58851C3E5
SHA-1D9EE6CE48BA4A194A3BADD2DCFC01036AD98D8D8
SHA-256B6C187483969C18EB4A629A3BCE329D18B94C88B9C678B97DAB31CBFF60B0719
SSDEEP96:luUBv1FpeH8A7H8MPiTUgAV2wTCQF60E5wF8KGIRk:k45eH7pAuC5w+IRk
TLSHT19571FA9B47AA12734382C583BB61A59E935DC26DB3620063F46C4988330763CA3B35FD
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
MD508062960F9ECC29E446D2764FF4B5328
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
PackageReleaselp154.3.2
PackageVersion1.6.3
SHA-1DA2857EF17EC20B24AE7320A847ECCD7920FA728
SHA-2567C6E09009F2B23F41993ABF95E93863BDE1777C8BF8079638A14DCE2C144FDBE