Question

当我尝试运行clock进程时，我一直遇到此错误。

这是我的Procfile

web: gunicorn app:app --log-level debug
worker: python worker.py
clock: python clock.py

当我列出我的dynos heroku ps时，我得到了：

Free dyno hours quota remaining this month: 943h 3m (94%)
For more information on dyno sleeping and how to upgrade, see:
https://devcenter.heroku.com/articles/dyno-sleeping

=== web (Free): gunicorn app:app --log-level debug (1)
web.1: up 2017/09/26 11:34:20 -0400 (~ 3m ago)

=== worker (Free): python worker.py (1)
worker.1: up 2017/09/26 11:34:18 -0400 (~ 3m ago)

然后我去跑heroku ps:scale clock=1

它以Cannot run more than 2 Free size dynos

返回

我尝试重新启动停止所有dyno，然后再次缩放它们：

(env) spitfiredd@spitfiredd ~/Documents/schedule $ heroku ps:stop web.1
Stopping web.1 dyno on ⬢ fpds-scheduler... done
(env) spitfiredd@spitfiredd ~/Documents/schedule $ heroku ps:stop worker.1
Stopping worker.1 dyno on ⬢ fpds-scheduler... done
(env) spitfiredd@spitfiredd ~/Documents/schedule $ heroku ps:scale web=1
Scaling dynos... done, now running web at 1:Free
(env) spitfiredd@spitfiredd ~/Documents/schedule $ heroku ps:scale worker=1
Scaling dynos... done, now running worker at 1:Free
(env) spitfiredd@spitfiredd ~/Documents/schedule $ heroku ps:scale clock=1
Scaling dynos... !
 ▸    Cannot run more than 2 Free size dynos.

我做错了什么？

Answer 1

解决方案：从Free升级到Hobby层。

Answer 2

获取您的应用名称，并使用以下命令获取dyno进程号

import random 
import numpy as np 
import pandas as pd
import matplotlib.pyplot as plt 
from scipy.stats import linregress

N = 20
# N = 10                  # Set signal sample length
t1 = -np.pi             # Simulation begins at t1
t2 =  np.pi;            # Simulation  ends  at t2

in_array = np.linspace(t1, t2, N)

# add some noise
noise_input = random.uniform(-.5, .5);
in_array[random.randint(0, len(in_array)-1)] = noise_input

# apply filter on time array
in_array_x = range(0, len(in_array))

slope, intercept, r_val, p_val, std_err = linregress(in_array_x, in_array)
in_array = intercept + slope * in_array_x

# generate sine wave
out_array = np.sin(in_array)
print("OUT ARRAY")
print(out_array)

plt.plot(in_array, out_array, color = 'red', marker = "o") ; plt.title("numpy.sin()")

plt.show()

例如

heroku ps
heroku ps:stop run.<the dyno number> --app <the heroku app name>

如果heroku ps：stop第一次无法使用，请尝试多次。

Heroku：不能运行超过2个自由尺寸的dynos

2 个答案: