Result for 24B3E9B1CEFB6A3F854A6800ED6CB0B60501DA14

Query result

Key Value
FileName./usr/lib64/ruby/gems/2.5.0/specifications/puma-1.6.3.gemspec
FileSize3592
MD5660DDD59D4D4E57E2ED42E43A774626B
SHA-124B3E9B1CEFB6A3F854A6800ED6CB0B60501DA14
SHA-2563E09A9A3DCBB558230AA43C7A7735FCEB92D031AE056B10384B783D6D709E00D
SSDEEP96:uUlQIeH8Y6eiTCgeX2kTX2Q9inS2M9JxU/vrPH8PDEQhR:LljeKWG4XwnS2M9JxETPkQQhR
TLSHT17771631F8EAA70B197321FC2DD965091237FE46933498C80A5A98D3C2317FDA53266B3
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
MD5D777EC1A1A031442292697F036B3524B
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).
PackageNameruby2.5-rubygem-puma-1_6
PackageRelease3.4
PackageVersion1.6.3
SHA-14667909D76D6EEBCC93D2008DFA9B80F92BC2881
SHA-256C2154001B75312465F844B95287151185441F821A42337B8B4624A9094B165FA