先建立一个项目来找CONCURRENT_REQUESTS与DOWNLOAD_DELAY的联系
大致给出粗略代码:
jianshuspider.py:
import scrapy
from JianshuSpider_author_1.items
import JianshuspiderAuthor1Item
from scrapy.selector
import Selector
class JianshuSpider(scrapy.Spider):
name = "jianshu"
def start_requests(self):
urls = ['http://www.jianshu.com/users/958f740aed52/followers']
for url in urls:
yield scrapy.Request(url = url,
callback=self.parse_author)
def parse_author(self,
response):
item = JianshuspiderAuthor1Item()
selector = Selector(response)
fans_href = selector.xpath("//div[@class='info']/a/@href").extract()
for fan_href
in fans_href:
fan_href = 'http://www.jianshu.com/users/'+ fan_href.split('/')[-1] +
'/followers'
# fan_href = 'http://www.google.com.hk/'+ fan_href.split('/')[-1] + '/followers'#需要timeout时调用
yield scrapy.Request(fan_href,
callback=self.parse_author)
item['author'] = selector.xpath("//div[@class='title']/a/text()").extract_first()
yield item
requestlimit.py(downlomiddleware):
class
RequestLimitMiddleware(object):
count = 0
def process_request(self,
request, spider):
self.count +=
1
print(self.count)
以上两个文件的代码为核心代码。
测试结果:
一:
settings.py
CONCURRENT_REQUESTS = 8
DOWNLOAD_DELAY = 0
并且jianshuspider.py中关闭递归简书链接,打开Google链接语句
效果:8个request同时来,同时timeout。8个request又来,又timeout。如此循环。
二:
settings.py
CONCURRENT_REQUESTS = 1
DOWNLOAD_DELAY = 5
并且jianshuspider.py中打开递归简书链接,关闭Google链接语句
效果:每5秒左右来一个request
三:
settings.py
CONCURRENT_REQUESTS = 2
DOWNLOAD_DELAY = 5
并且jianshuspider.py中打开递归简书链接,关闭Google链接语句
效果:一开始来2个request(A,B),但5秒后只处理了一个request(A),新来一个request(C),5秒后又处理一个request(B),排队一个request(D)。如此循环。
总结:
DOWNLOAD_DELAY 会影响 CONCURRENT_REQUESTS,不能使并发显现出来。
思考:
当有CONCURRENT_REQUESTS,没有DOWNLOAD_DELAY 时,服务器会在同一时间收到大量的请求。
当有CONCURRENT_REQUESTS,有DOWNLOAD_DELAY 时,服务器不会在同一时间收到大量的请求。