Question

我想以分布式方式下载一堆gzip文件。我创建了一个包含所有文件网址的列表，并使用spark将它们并行化。使用此rdd上的映射，我下载了当前文件。然后我想将它保存在我的hdfs中，以便重新打开它并使用boto库在amazones3中重新保存它。

作为一个例子，这是我的代码，我只是尝试下载文件并将其保存在我的hdfs目录中，但是我收到了一个错误，它来自路径。

try:
    # For Python 3.0 and later
    from urllib.request import urlopen
except ImportError:
    # Fall back to Python 2's urllib2
    from urllib2 import urlopen

import StringIO
import gzip
from gzip import GzipFile


def dowload_and_save(x):
    response = urlopen(x)

    compressedFile = StringIO.StringIO()
    compressedFile.write(response.read())

    compressedFile.seek(0)

    decompressedFile = gzip.GzipFile(fileobj=compressedFile, mode='rb')
    with open('http://localhost:50070/webhdfs/user/root/ruben', 'w') as outfile:
        outfile.write(decompressedFile.read())



url_lists=['https://dumps.wikimedia.org/other/pagecounts-raw/2007/2007-12/pagecounts-20071209-190000.gz','https://dumps.wikimedia.org/other/pagecounts-raw/2007/2007-12/pagecounts-20071209-200000.gz']

url_lists_rdd=sc.parallelize(url_lists)

url_lists_rdd.map(dowload_and_save)

Answer 1

我找到了解决方案

import boto
from boto.s3.key import Key
import requests
import os 
os.environ['S3_USE_SIGV4'] = 'True'

def dowload_and_save(x):

    bucket_name='magnet-fwm'
    k = Key(bucket_name)

    access_key=''
    secret=''

    r = requests.get(x)
    #return (r.content)

    c = boto.connect_s3(access_key, secret, host='s3-eu-west-1.amazonaws.com')
    b = c.get_bucket(bucket_name,validate=False)

    if r.status_code == 200:
    #upload the file
        k = Key(b)
        k.key = "file.gz"

        k.content_type = r.headers['content-type']
        k.set_contents_from_string(r.content)
    return 'a'



list=['https://dumps.wikimedia.org/other/pagecounts-raw/2007/2007-12/pagecounts-20071209-180000.gz','https://dumps.wikimedia.org/other/pagecounts-raw/2008/2008-01/pagecounts-20080101-050000.gz']

url_lists_rdd=sc.parallelize(list)



#url_lists_rdd.map(lambda x: dowload_and_save(x,access_key,secret,bucket_name))  
a=url_lists_rdd.map(dowload_and_save)

将gzip文件保存在rdd上的函数apply中

1 个答案: