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Remove the old architecture chapter
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[[flow_diagram]]
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== Flow diagram
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Placeholder chapter.
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Cowboy is a lightweight HTTP server with support for HTTP/1.1,
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HTTP/2 and Websocket.
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Cowboy 2.0 has changed the request flow and general architecture.
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You can read about the Cowboy 1.0 architecture and flow here:
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It is built on top of Ranch. Please see the Ranch guide for more
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information about how the network connections are handled.
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* xref:architecture[Architecture]
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* xref:overview[Overview]
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=== Overview
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This chapter will be updated in a future pre-release.
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Placeholder section.
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// @todo Make the diagram.
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=== Number of processes per connection
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By default, Cowboy will use one process per connection,
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plus one process per set of request/response (called a
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stream, internally).
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The reason it creates a new process for every request is due
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to the requirements of HTTP/2 where requests are executed
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concurrently and independently from the connection. The
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frames from the different requests end up interleaved on
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the single TCP connection.
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The request processes are never reused. There is therefore
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no need to perform any cleanup after the response has been
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sent. The process will terminate and Erlang/OTP will reclaim
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all memory at once.
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Cowboy ultimately does not require more than one process
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per connection. It is possible to interact with the connection
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directly from a stream handler, a low level interface to Cowboy.
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They are executed from within the connection process, and can
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handle the incoming requests and send responses. This is however
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not recommended in normal circumstances, as a stream handler
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taking too long to execute could have a negative impact on
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concurrent requests or the state of the connection itself.
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=== Date header
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Because querying for the current date and time can be expensive,
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Cowboy generates one 'Date' header value every second, shares it
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to all other processes, which then simply copy it in the response.
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This allows compliance with HTTP/1.1 with no actual performance loss.
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=== Binaries
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Cowboy makes extensive use of binaries.
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Binaries are more efficient than lists for representing
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strings because they take less memory space. Processing
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performance can vary depending on the operation. Binaries
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are known for generally getting a great boost if the code
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is compiled natively. Please see the HiPE documentation
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for more details.
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Binaries may end up being shared between processes. This
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can lead to some large memory usage when one process keeps
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the binary data around forever without freeing it. If you
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see some weird memory usage in your application, this might
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be the cause.
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