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