[Python知识库]使用多线程改进flask项目案例

多线程

import flask
import json
import time
from concurrent.futures import ThreadPoolExecutor

app = flask.Flask(__name__)
pool = ThreadPoolExecutor()


def read_file():
    time.sleep(0.1)
    return "file result"


def read_db():
    time.sleep(0.2)
    return "db result"


def read_api():
    time.sleep(0.3)
    return "api result"


@app.route("/")
def index():
    result_file = pool.submit(read_file)
    result_db = pool.submit(read_db)
    result_api = pool.submit(read_api)

    return json.dumps({
        "result_file": result_file.result(),
        "result_db": result_db.result(),
        "result_api": result_api.result(),
    })


if __name__ == "__main__":
    app.run()

多进程

import flask
from concurrent.futures import ProcessPoolExecutor
import math
import json


app = flask.Flask(__name__)


def is_prime(n):
    if n < 2:
        return False
    if n == 2:
        return True
    if n % 2 == 0:
        return False
    sqrt_n = int(math.floor(math.sqrt(n)))
    for i in range(3, sqrt_n + 1, 2):
        if n % i == 0:
            return False
    return True


@app.route("/is_prime/<numbers>")
def api_is_prime(numbers):
    number_list = [int(x) for x in numbers.split(",")]
    results = process_pool.map(is_prime, number_list)
    return json.dumps(dict(zip(number_list, results)))


if __name__ == "__main__":
    process_pool = ProcessPoolExecutor()
    app.run()