Result for 859E983A398D8C02A767C6CE8D1DE617AC231ED4

Query result

Key Value
FileNamerubygem-puma.spec
FileSize3537
MD56ED64182C523FACCA369FC615A2412EA
SHA-1859E983A398D8C02A767C6CE8D1DE617AC231ED4
SHA-2560D4D021B2FB5FD32211FDD9F891599CB99FF0E7C60A80FDFB7D767DEEC6E214A
SSDEEP96:luUBv1FUeH8A7H8MPiTUgAV2wTCQF60E5wF8KGIRk:k4keH7pAuC5w+IRk
TLSHT16571EA9B47AA117343828583BB65A59E936DC26DB3624063F46C4988330763CA3B35FD
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
MD552C31222207C15EC10C8FDC8CEBB2423
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
PackageReleaselp151.3.8
PackageVersion1.6.3
SHA-16EFBA40D99FE1DA2B1E863838F5DF90FB2D7196E
SHA-25625CDC8436808A1DF1A7821E58651BB88EC77E18B8BF7085F1CABBE4951586B0F