Database Systems: Design, Implementation, & Management
13th Edition
ISBN: 9781337627900
Author: Carlos Coronel, Steven Morris
Publisher: Cengage Learning
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Chapter 14, Problem 4RQ
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Difference between Scaling up and Scaling out:
| Scaling up | Scaling out |
| Scaling up is also known as concurrent |
Scaling out is also known as Distributed programming. |
| It is one of the most common methods for utilizing multi-core architecture in the context of a single application. | It usually distributes jobs across machines over the network... |
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Given a shared data set, we allow multiple readers to read at the same time, and only one single writer can access the shared data at the same time. In the lecture slides, a solution is given. However, the problem is that the write cannot write forever, if there are always at least one reader.
How to ensure that the writer can eventually write? Propose your solution by using semaphores and implemented in Python
from threading import Thread, Semaphore
from time import sleep
from sys import stdout
class Reader(Thread):
def__init__(self, name):
self.n=name; Thread.__init__(self)
defrun(self):
globalnr, nw, dr, dw
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# ⟨await nw == 0 then nr += 1⟩
e.acquire()
ifnw>0:
#if nw > 0 or dw > 0 :
dr+=1; e.release(); r.acquire()
nr+=1
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Database Systems: Design, Implementation, & Management
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