Let's say I want to read a line from a socket, using the standard socket
module:
def read_line(s):
ret = ''
while True:
c = s.recv(1)
if c == '\n' or c == '':
break
else:
ret += c
return ret
What exactly happens in s.recv(1)
? Will it issue a system call each time? I guess I should add some buffering, anyway:
For best match with hardware and network realities, the value of bufsize should be a relatively small power of 2, for example, 4096.
http://docs.python.org/library/socket.html#socket.socket.recv
But it doesn't seem easy to write efficient and thread-safe buffering. What if I use file.readline()
?
# does this work well, is it efficiently buffered?
s.makefile().readline()
The
recv()
call is handled directly by calling the C library function.It will block waiting for the socket to have data. In reality it will just let the
recv()
system call block.file.readline()
is an efficient buffered implementation. It is not threadsafe, because it presumes it's the only one reading the file. (For example by buffering upcoming input.)If you are using the file object, every time
read()
is called with a positive argument, the underlying code willrecv()
only the amount of data requested, unless it's already buffered.It would be buffered if:
you had called readline(), which reads a full buffer
the end of the line was before the end of the buffer
Thus leaving data in the buffer. Otherwise the buffer is generally not overfilled.
The goal of the question is not clear. if you need to see if data is available before reading, you can
select()
or set the socket to nonblocking mode withs.setblocking(False)
. Then, reads will return empty, rather than blocking, if there is no waiting data.Are you reading one file or socket with multiple threads? I would put a single worker on reading the socket and feeding received items into a queue for handling by other threads.
Suggest consulting Python Socket Module source and C Source that makes the system calls.
If you are concerned with performance and control the socket completely (you are not passing it into a library for example) then try implementing your own buffering in Python -- Python string.find and string.split and such can be amazingly fast.
If you expect the payload to consist of lines that are not too huge, that should run pretty fast, and avoid jumping through too many layers of function calls unnecessarily. I'd be interesting in knowing how this compares to file.readline() or using socket.recv(1).