Scrapy-Cluster结合Spiderkeeper管理分布式爬虫

阅读量：5869 次

发布时间：2019-06-19

本文共 7773 字，大约阅读时间需要 25 分钟。

Scrapy-cluster 建设

基于Scrapy-cluster库的kafka-monitor可以实现分布式爬虫

Scrapyd+Spiderkeeper实现爬虫的可视化管理

环境

IP	Role
168...118	Scrapy-cluster,scrapyd,spiderkeeper
168...119	Scrapy-cluster,scrapyd,kafka,redis,zookeeper

# cat /etc/redhat-release CentOS Linux release 7.4.1708 (Core) # python -VPython 2.7.5# java -versionopenjdk version "1.8.0_181"OpenJDK Runtime Environment (build 1.8.0_181-b13)OpenJDK 64-Bit Server VM (build 25.181-b13, mixed mode)

Zookeeper 单机配置

下载并配置

# wget http://mirror.bit.edu.cn/apache/zookeeper/zookeeper-3.4.13/zookeeper-3.4.13.tar.gz# tar -zxvf zookeeper-3.4.13.tar.gz# cd zookeeper-3.4.13/conf# cp zoo_sample.cfg zoo.cfg# cd ..# PATH=/opt/zookeeper-3.4.13/bin:$PATH# echo 'export PATH=/opt/zookeeper-3.4.13/bin:$PATH' > /etc/profile.d/zoo.sh

单节点启动

# zkServer.sh statusZooKeeper JMX enabled by defaultUsing config: /opt/zookeeper-3.4.13/bin/../conf/zoo.cfgError contacting service. It is probably not running.# zkServer.sh start

kafka 单机配置

下载

# wget http://mirrors.hust.edu.cn/apache/kafka/2.0.0/kafka_2.12-2.0.0.tgz# tar -zxvf kafka_2.12-2.0.0.tgz# cd kafka_2.12-2.0.0/

配置

# vim config/server.properties############################# Server Basics ############################## The id of the broker. This must be set to a unique integer for each broker.broker.id=0                     # kafka的机器编号，host.name = 168.*.*.119         # 绑定ipport=9092                        # 默认端口9092，# Switch to enable topic deletion or not, default value is falsedelete.topic.enable=true############################# Zookeeper #############################zookeeper.connect=localhost:2181

启动

nohup bin/kafka-server-start.sh config/server.properties &

停止命令bin/kafka-server-stop.sh config/server.properties

redis 单机配置

安装配置

# yum -y install redis# vim /etc/redis.confbind 168.*.*.119

启动

# systemctl start redis.service

scrapy-cluster 单机配置

# git clone https://github.com/istresearch/scrapy-cluster.git# cd scrapy-cluster# pip install -r requirements.txt

离线运行单元测试,以确保一切似乎正常

# ./run_offline_tests.sh

修改配置

# vim kafka-monitor/settings.py# vim redis-monitor/settings.py# vim crawlers/crawling/settings.py

修改以下

# Redis host configurationREDIS_HOST = '168.*.*.119'REDIS_PORT = 6379REDIS_DB = 0KAFKA_HOSTS = '168.*.*.119:9092'KAFKA_TOPIC_PREFIX = 'demo'KAFKA_CONN_TIMEOUT = 5KAFKA_APPID_TOPICS = FalseKAFKA_PRODUCER_BATCH_LINGER_MS = 25  # 25 ms before flushKAFKA_PRODUCER_BUFFER_BYTES = 4 * 1024 * 1024  # 4MB before blocking# Zookeeper SettingsZOOKEEPER_ASSIGN_PATH = '/scrapy-cluster/crawler/'ZOOKEEPER_ID = 'all'ZOOKEEPER_HOSTS = '168.*.*.119:2181'

启动监听

# nohup python kafka_monitor.py run >> /root/scrapy-cluster/kafka-monitor/kafka_monitor.log 2>&1 &# nohup python redis_monitor.py >> /root/scrapy-cluster/redis-monitor/redis_monitor.log 2>&1 &

scrapyd 爬虫管理工具配置

安装

# pip install scrapyd

配置

# sudo mkdir /etc/scrapyd# sudo vi /etc/scrapyd/scrapyd.conf

[scrapyd]eggs_dir    = eggslogs_dir    = logsitems_dir   =jobs_to_keep = 5dbs_dir     = dbsmax_proc    = 0max_proc_per_cpu = 10finished_to_keep = 100poll_interval = 5.0bind_address = 0.0.0.0http_port   = 6800debug       = offrunner      = scrapyd.runnerapplication = scrapyd.app.applicationlauncher    = scrapyd.launcher.Launcherwebroot     = scrapyd.website.Root[services]schedule.json     = scrapyd.webservice.Schedulecancel.json       = scrapyd.webservice.Canceladdversion.json   = scrapyd.webservice.AddVersionlistprojects.json = scrapyd.webservice.ListProjectslistversions.json = scrapyd.webservice.ListVersionslistspiders.json  = scrapyd.webservice.ListSpidersdelproject.json   = scrapyd.webservice.DeleteProjectdelversion.json   = scrapyd.webservice.DeleteVersionlistjobs.json     = scrapyd.webservice.ListJobsdaemonstatus.json = scrapyd.webservice.DaemonStatus

启动

# nohup scrapyd >> /root/scrapy-cluster/scrapyd.log 2>&1 &

建议做Nginx反向代理

启动异常

File "/usr/local/lib/python3.6/site-packages/scrapyd-1.2.0-py3.6.egg/scrapyd/app.py", line 2, in 
    
     from twisted.application.internet import TimerService, TCPServerFile "/usr/local/lib64/python3.6/site-packages/twisted/application/internet.py", line 54, in 
     
      from automat import MethodicalMachineFile "/usr/local/lib/python3.6/site-packages/automat/__init__.py", line 2, in 
      
       from ._methodical import MethodicalMachineFile "/usr/local/lib/python3.6/site-packages/automat/_methodical.py", line 210, in 
       
            class MethodicalInput(object):File "/usr/local/lib/python3.6/site-packages/automat/_methodical.py", line 220, in MethodicalInput    @argSpec.defaultbuiltins.TypeError: '_Nothing' object is not callableFailed to load application: '_Nothing' object is not callable

解决：Automat降级

pip install Automat==0.6.0

Spiderkeeper 爬虫管理界面配置

安装

pip install SpiderKeeper

启动

mkdir /root/spiderkeeper/nohup spiderkeeper --server=http://168.*.*.118:6800 --username=admin --password=admin --database-url=sqlite:root/spiderkeeper/SpiderKeeper.db >> /root/scrapy-cluster/spiderkeeper.log 2>&1 &

浏览器访问http://168.*.*.118:5000

使用Spiderkeeper 管理爬虫

使用scrapyd-deploy部署爬虫项目

修改scrapy.cfg配置

vim /root/scrapy-cluster/crawler/scrapy.cfg

[settings]default = crawling.settings[deploy]url = http://168.*.*.118:6800/project = crawling

添加新的spider

cd /root/scrapy-cluster/crawler/crawling/spider

使用scrapyd-deploy部署项目

# cd /root/scrapy-cluster/crawler# scrapyd-deploy Packing version 1536225989Deploying to project "crawling" in http://168.*.*.118:6800/addversion.jsonServer response (200):{"status": "ok", "project": "crawling", "version": "1536225989", "spiders": 3, "node_name": "ambari"}

spiderkeeper 配置爬虫项目

登录Spiderkeeper创建项目

使用scrapy.cfg中配置的项目名

创建后再Spiders->Dashboard中看到所有spider

Scrapy-cluster 分布式爬虫

Scrapy Cluster需要在不同的爬虫服务器之间进行协调，以确保最大的内容吞吐量，同时控制集群服务器爬取网站的速度。

Scrapy Cluster提供了两种主要策略来控制爬虫对不同域名的攻击速度。这由爬虫的类型与IP地址确定，但他们都作用于不同的域名队列。

Scrapy-cluster分布式爬虫，分发网址是基于IP地址。在不同的机器上启动集群，不同服务器上的每个爬虫去除队列中的所有链接。

部署集群中第二个scrapy-cluster

配置一台新的服务器参照scrapy-cluster 单机配置,同时使用第一台服务器配置kafka-monitor/settings.py redis-monitor/settings.py crawling/settings.py

Current public ip 问题

由于两台服务器同时部署在相同内网，spider运行后即获取相同Current public ip，导致scrapy-cluster调度器无法根据IP分发链接

2018-09-07 16:08:29,684 [sc-crawler] DEBUG: Current public ip: b'110.*.*.1'

参考代码/root/scrapy-cluster/crawler/crawling/distributed_scheduler.py第282行：

try:    obj = urllib.request.urlopen(settings.get('PUBLIC_IP_URL',                                  'http://ip.42.pl/raw'))    results = self.ip_regex.findall(obj.read())    if len(results) > 0:        # results[0] 获取IP地址即为110.90.122.1        self.my_ip = results[0]    else:        raise IOError("Could not get valid IP Address")    obj.close()    self.logger.debug("Current public ip: {ip}".format(ip=self.my_ip))except IOError:    self.logger.error("Could not reach out to get public ip")    pass

建议修改代码，获取本机IP

self.my_ip = [(s.connect(('8.8.8.8', 53)), s.getsockname()[0], s.close())                 for s in [socket.socket(socket.AF_INET, socket.SOCK_DGRAM)]][0][1]

运行分布式爬虫

在两个scrapy-cluster中运行相同Spider

execute(['scrapy', 'runspider', 'crawling/spiders/link_spider.py'])

使用python kafka_monitor.py feed投递多个链接，使用DEBUG即可观察到链接分配情况

使用SpiderKeeper管理分布式爬虫

配置scrapyd管理集群第二个scrapy-cluster

在第二台scrapy-cluster服务器上安装配置scrapyd，参考scrapyd 爬虫管理工具配置并修改配置

[settings]default = crawling.settings[deploy]url = http://168.*.*.119:6800/project = crawling

启动scrapyd后使用scrapyd-deploy工具部署两个scrapy-cluster上的爬虫项目。

使用Spiderkeeper连接多个scrapy-cluster

重新启动spiderkeeper，对接两个scrapy-cluster的管理工具scrapyd。

nohup spiderkeeper --server=http://168.*.*.118:6800 --server=http://168.*.*.119:6800 --username=admin --password=admin --database-url=sqlite:root/spiderkeeper/SpiderKeeper.db >> /root/scrapy-cluster/spiderkeeper.log 2>&1 &