如何使用csv.DictReader读取存储在S3中的csv？

Question

我有获取AWS S3对象的代码.如何使用Python的csv.DictReader读取此StreamingBody？

import boto3, csv

session = boto3.session.Session(aws_access_key_id=<>, aws_secret_access_key=<>, region_name=<>)
s3_resource = session.resource('s3')
s3_object = s3_resource.Object(<bucket>, <key>)
streaming_body = s3_object.get()['Body']

#csv.DictReader(???)

Answer 1

代码将是这样的:

import boto3
import csv

# get a handle on s3
s3 = boto3.resource(u's3')

# get a handle on the bucket that holds your file
bucket = s3.Bucket(u'bucket-name')

# get a handle on the object you want (i.e. your file)
obj = bucket.Object(key=u'test.csv')

# get the object
response = obj.get()

# read the contents of the file and split it into a list of lines

# for python 2:
lines = response[u'Body'].read().split()

# for python 3 you need to decode the incoming bytes:
lines = response['Body'].read().decode('utf-8').split()

# now iterate over those lines
for row in csv.DictReader(lines):

    # here you get a sequence of dicts
    # do whatever you want with each line here
    print(row)

您可以在实际代码中压缩这一点,但我尝试一步一步地使用boto3显示对象层次结构.

编辑根据你关于避免将整个文件读入内存的评论:我没有遇到这个要求所以不能权威地说,但我会尝试包装流,这样我就可以得到一个像文本文件一样的迭代器.例如,您可以使用编解码器库替换上面的csv解析部分,例如:

for row in csv.DictReader(codecs.getreader('utf-8')(response[u'Body'])):
    print(row)