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This system implements a non-consing queue. Internally it uses a simple vector to organize a circular buffer. First two elements of the buffer are reserved for start and end pointers:
POFTHEDAY> (defparameter *q*
(cl-speedy-queue:make-queue 10))
POFTHEDAY> *q*
#(2 2 #:EMPTY 0 0 0 0 0 0 0 0 0)
POFTHEDAY> (cl-speedy-queue:enqueue :a *q*)
:A
POFTHEDAY> (cl-speedy-queue:enqueue :b *q*)
:B
POFTHEDAY> (cl-speedy-queue:enqueue :c *q*)
:C
POFTHEDAY> *q*
#(2 5 :A :B :C 0 0 0 0 0 0 0)
When an item is extracted from the queue, the left pointer is moved to the right:
POFTHEDAY> (cl-speedy-queue:dequeue *q*)
:A
POFTHEDAY> *q*
#(3 5 :A :B :C 0 0 0 0 0 0 0)
POFTHEDAY> (cl-speedy-queue:dequeue *q*)
:B
POFTHEDAY> *q*
#(4 5 :A :B :C 0 0 0 0 0 0 0)
POFTHEDAY> (cl-speedy-queue:dequeue *q*)
:C
POFTHEDAY> *q*
#(5 5 :A :B :C #:EMPTY 0 0 0 0 0 0)
There are also a few other functions in the API: to check queue's length, to peek the next item, etc. A queue can signal conditions if it is empty or full and you are trying to do something wrong.
This data structure is not thread-safe. Use locks if share queue between threads.
cl-speedy-queue
is really fast. Queue and deque operations take about 7.5 nanoseconds:
POFTHEDAY> (time (loop with q = (cl-speedy-queue:make-queue 10)
repeat 1000000000
do (cl-speedy-queue:enqueue :foo q)
(cl-speedy-queue:dequeue q)))
Evaluation took:
7.588 seconds of real time
7.573354 seconds of total run time (7.554277 user, 0.019077 system)
99.80% CPU
16,755,940,604 processor cycles
0 bytes consed
To compare, here is the test of Python's standard SimpleQueue
. It takes 226 nanoseconds:
In [10]: from queue import SimpleQueue
In [11]: def test(q, n):
...: while n > 0:
...: q.put(1)
...: q.get()
...: n -= 1
...:
In [12]: %time test(SimpleQueue(), 1000000000)
CPU times: user 3min 46s, sys: 605 ms, total: 3min 47s
Wall time: 3min 48s
Python also has another standard structure for queues - deque
. It is slightly faster than SimpleQueue
but still 18 times slower than Common Lisp's cl-speedy-queue
.
It takes 141 nanoseconds to make put/get operations with deque
:
In [22]: from collections import deque
In [23]: def test(q, n):
...: while n > 0:
...: q.append(1)
...: q.popleft()
...: n -= 1
In [25]: %time test(deque(), 1000000000)
CPU times: user 2min 21s, sys: 330 ms, total: 2min 22s
Wall time: 2min 22s
By the way, Python's deque is written in C:
https://github.com/python/cpython/blob/master/Modules/_collectionsmodule.c#L206