Result for 18D65A35A3AE9BC6D912F686137FBE03A14EAAD3

Query result

Key Value
FileName./usr/lib64/ruby/gems/2.6.0/extensions/x86_64-linux/2.6.0/puma-1.6.3/puma/puma_http11.so
FileSize28056
MD5480BC187307D13270829224ECF2DF6FE
SHA-118D65A35A3AE9BC6D912F686137FBE03A14EAAD3
SHA-2567007DDB5ACC3BC081DD896E172DF00D1204E8B0123A027FAC553903234119022
SSDEEP768:2ZIkmRVBH7Bfz+TbqUN3/dKk1s15z24rnnv5W9TpN:2CbRVBH7Bfz+TbqUNvdKk1s15z24jv5w
TLSHT105C2E80BBA8B7C3FE824873D584F9172A31239714934AE772C48BA3C780159D5B5BB97
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
MD5D8324E451241583D3CCC4F8860782F2B
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).
PackageNameruby2.6-rubygem-puma-1_6
PackageReleaselp152.3.11
PackageVersion1.6.3
SHA-1BA9314802CC301F2BED5FF1EEEE610FAA2FE416A
SHA-256ED2E7D058D38805E8043B8D722312439F7F2BE1EEDC8D44F33A17FE3439D660D