How can I choose between select.select() and select.poll() methods in the select module in Python?
Categories:
Python's select.select()
vs. select.poll()
: Choosing the Right I/O Multiplexing Method

Understand the differences between select.select()
and select.poll()
in Python's select
module for efficient network programming and I/O multiplexing.
When building network applications in Python, especially those that need to handle multiple concurrent connections without resorting to threads or processes, I/O multiplexing is a crucial technique. Python's built-in select
module provides mechanisms to achieve this, primarily through select.select()
and select.poll()
. While both serve the purpose of monitoring multiple file descriptors (sockets) for I/O readiness, they have distinct characteristics that make one more suitable than the other in certain scenarios.
Understanding I/O Multiplexing
I/O multiplexing allows a single process to monitor multiple I/O events (like data arriving on a socket, a socket becoming writable, or an error condition) across several file descriptors. Instead of blocking on a single read()
or write()
call, which would prevent handling other connections, multiplexing functions block until any of the monitored file descriptors are ready for I/O. This enables efficient handling of many connections with a single thread, reducing overhead compared to a thread-per-connection model.
flowchart TD A[Start Server] B{New Connection?} C[Add Socket to Monitor List] D{I/O Event Ready?} E[Handle Event on Socket] F[Remove Closed Socket] A --> B B -- Yes --> C C --> D B -- No --> D D -- Yes --> E E --> F F --> D D -- No (Timeout) --> D
Basic I/O Multiplexing Workflow
select.select()
: The Traditional Approach
The select.select()
function is a widely available and highly portable I/O multiplexing mechanism, originating from the Unix select(2)
system call. It monitors three sets of file descriptors:
rlist
: Sockets to watch for incoming data (read readiness).wlist
: Sockets to watch for outgoing data (write readiness).xlist
: Sockets to watch for exceptional conditions (e.g., out-of-band data).
select.select()
returns three new lists containing the file descriptors that are ready for I/O. It can also take an optional timeout
argument, allowing it to wait for a specified duration before returning if no descriptors are ready.
import select
import socket
# Create a listening socket
server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_socket.setblocking(False)
server_socket.bind(('localhost', 12345))
server_socket.listen(5)
inputs = [server_socket]
print("Listening on port 12345...")
while inputs:
readable, writable, exceptional = select.select(inputs, [], inputs, 1.0)
for s in readable:
if s is server_socket:
conn, addr = s.accept()
conn.setblocking(False)
inputs.append(conn)
print(f"Accepted connection from {addr}")
else:
data = s.recv(1024)
if data:
print(f"Received {data.decode()} from {s.getpeername()}")
s.sendall(b"Echo: " + data)
else:
print(f"Closing connection from {s.getpeername()}")
inputs.remove(s)
s.close()
for s in exceptional:
print(f"Handling exceptional condition for {s.getpeername()}")
inputs.remove(s)
s.close()
Example using select.select()
to handle multiple client connections.
select.select()
is that it requires rebuilding the file descriptor lists on every call. For a very large number of connections, this can introduce overhead. Additionally, the maximum number of file descriptors that select()
can monitor is typically limited by FD_SETSIZE
, which is often 1024 on many systems.select.poll()
: The Scalable Alternative
The select.poll()
function, based on the Unix poll(2)
system call, offers a more scalable and efficient alternative, especially when dealing with a large number of file descriptors. Instead of passing three separate lists, poll()
uses a single poll
object. You register file descriptors with this object, specifying the events you're interested in (e.g., select.POLLIN
for read, select.POLLOUT
for write). This registration is done once, and subsequent calls to poll()
only require checking the registered events.
poll()
returns a list of (fd, event_mask)
tuples, indicating which file descriptors are ready and for what events. This approach avoids the FD_SETSIZE
limitation and is generally preferred for high-performance servers.
import select
import socket
server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_socket.setblocking(False)
server_socket.bind(('localhost', 12345))
server_socket.listen(5)
poller = select.poll()
# Register the server socket for read events
poller.register(server_socket, select.POLLIN)
# Map file descriptors to their corresponding socket objects
fd_to_socket = {server_socket.fileno(): server_socket}
print("Listening on port 12345 with poll...")
while True:
# Poll for events with a 1-second timeout
events = poller.poll(1000) # Timeout in milliseconds
for fd, event in events:
s = fd_to_socket[fd]
if s is server_socket:
# New connection
conn, addr = s.accept()
conn.setblocking(False)
poller.register(conn, select.POLLIN)
fd_to_socket[conn.fileno()] = conn
print(f"Accepted connection from {addr}")
elif event & select.POLLIN:
# Data available to read
data = s.recv(1024)
if data:
print(f"Received {data.decode()} from {s.getpeername()}")
s.sendall(b"Echo: " + data)
else:
# Connection closed by client
print(f"Closing connection from {s.getpeername()}")
poller.unregister(s)
s.close()
del fd_to_socket[fd]
elif event & select.POLLERR:
# Error condition
print(f"Handling error condition for {s.getpeername()}")
poller.unregister(s)
s.close()
del fd_to_socket[fd]
Example using select.poll()
for I/O multiplexing.
select.poll()
method is generally more efficient for a large number of connections because it doesn't need to copy the entire set of file descriptors on each call. It's also more flexible in specifying the exact events you're interested in for each file descriptor.Choosing Between select.select()
and select.poll()
The choice between select.select()
and select.poll()
often comes down to portability, performance requirements, and the number of file descriptors you expect to handle.
- Portability:
select.select()
is more widely available across different Unix-like systems and even Windows (though with some limitations). If maximum cross-platform compatibility is a primary concern,select.select()
might be a safer bet. - Scalability: For applications that need to handle hundreds or thousands of concurrent connections,
select.poll()
(or even more advanced mechanisms likeepoll
on Linux orkqueue
on BSD/macOS, exposed viaselectors
module) is significantly more scalable due to its event-driven nature and lack ofFD_SETSIZE
limitations. - Simplicity: For a small, fixed number of connections,
select.select()
can sometimes appear slightly simpler to implement initially, as it directly takes lists of sockets. - Event Granularity:
poll()
offers finer control over the types of events you want to monitor for each file descriptor.
In modern Python, for most new network applications, especially those requiring high performance or scalability, it's often recommended to use the higher-level selectors
module. This module provides a unified interface to the most efficient I/O multiplexing mechanisms available on the underlying operating system (select
, poll
, epoll
, kqueue
), automatically choosing the best one.
flowchart TD A[Number of Connections] B{Small (e.g., < 100)?} C{Portability Critical?} D[Use `select.select()`] E{Large (e.g., > 100)?} F[Use `select.poll()`] G[Consider `selectors` module] A --> B B -- Yes --> C C -- Yes --> D C -- No --> E B -- No --> E E -- Yes --> F F --> G D --> G
Decision Flow for Choosing I/O Multiplexing Method
selectors
module is the recommended approach. It abstracts away the underlying select
, poll
, epoll
, or kqueue
calls and provides a consistent, high-performance API. This allows your code to automatically leverage the most efficient mechanism available on the host system without manual selection.