在python中批量/批量DNS查找？

我有一个脚本以下列方式获取DNS(CNAME,MX,NS)数据:

from dns import resolver
...

def resolve_dns(url):
    response_dict = {}
    print "\nResolving DNS for %s" % (url)

    try: 
        response_dict['CNAME'] = [rdata for rdata in resolver.query(url, 'CNAME')]
    except:
        pass

    try: 
        response_dict['MX'] = [rdata for rdata in resolver.query(url, 'MX')]
    except:
        pass

    try: 
        response_dict['NS'] = [rdata for rdata in resolver.query(url, 'NS')]
    except:
        pass

    return response_dict

对于连续的URL,顺序调用此函数.如果可能的话,我想通过同时获取多个URL的数据来加快上述过程.

有没有办法完成上面的脚本为一批URL做的事情(可能返回一个dict对象列表,每个dict对应一个特定URL的数据)？

您可以将工作放入线程池中.你resolve_dns连续3次请求,所以我创建了一个稍微更通用的工作者,它只执行1个查询并用于collections.product生成所有组合.在线程池中,我将chunksize设置为1以减少线程池批处理,如果某些查询需要很长时间,这会增加执行时间.

import dns
from dns import resolver
import itertools
import collections
import multiprocessing.pool

def worker(arg):
    """query dns for (hostname, qname) and return (qname, [rdata,...])"""
    try:
        url, qname = arg
        rdatalist = [rdata for rdata in resolver.query(url, qname)]
        return qname, rdatalist
    except dns.exception.DNSException, e:
        return qname, []

def resolve_dns(url_list):
    """Given a list of hosts, return dict that maps qname to
    returned rdata records.
    """
    response_dict = collections.defaultdict(list)
    # create pool for querys but cap max number of threads
    pool = multiprocessing.pool.ThreadPool(processes=min(len(url_list)*3, 60))
    # run for all combinations of hosts and qnames
    for qname, rdatalist in pool.imap(
            worker, 
            itertools.product(url_list, ('CNAME', 'MX', 'NS')),
            chunksize=1):
        response_dict[qname].extend(rdatalist)
    pool.close()
    return response_dict

url_list = ['example.com', 'stackoverflow.com']
result = resolve_dns(url_list)
for qname, rdatalist in result.items():
    print qname
    for rdata in rdatalist:
        print '   ', rdata