AWS DynamoDB 的 r 语言支持 [英] r language support for AWS DynamoDB
问题描述
这是对此的后续/更新问题:
This is a follow up / updated question to this:
我正在寻找有关如何将表从 DynamoDB 读入 R 的示例或文档.
I am looking for examples or documentation on how to read in a table from DynamoDB into R.
这个问题为我指明了正确的方向:
This question pointed me in the right direction:
(由伟大的@hadley 本人回答!).
(answered by the great @hadley himself!).
如果我必须使用 httr 然后解析 json 响应也没关系,但我什至无法弄清楚如何格式化 POST 请求.
It's ok if I have to use httr and then parse a json response, but I can't even figure out how to format the POST request.
谢谢!
推荐答案
从 here 重复我的回答,因为有人给我发了这个页面,问了一个类似的问题.
Repeating my answer from here since someone sent me this page asking a similar question.
这是我用于将数据从 DynamoDB 读取到 R 中的简化版本.它依赖于 R 和 Python 可以交换数据的事实,以及一个名为 boto 使得从 DynamoDB 获取数据变得非常容易.如果这都是一个 R 包,那就太好了,但考虑到您可以从亚马逊获得 25GB 的免费存储空间,我不会抱怨.
Here's a simplified version of what I'm using for reading data from DynamoDB into R. It relies on the fact that R and Python can exchange data, and a library called boto in Python makes it really easy to get data from DynamoDB. It would be neat if this was all an R package, but I won't complain given the 25GB of free storage you can get from Amazon.
首先,您需要一个像 query_dynamo.py 这样的 Python 脚本:
First, you need a Python script like so named query_dynamo.py:
import boto3
import time
dynamodb = boto3.resource('dynamodb',
aws_access_key_id='<GET ME FROM AWS>',
aws_secret_access_key='<ALSO GET ME FROM AWS CONSOLE>',
region_name='us-east-1')
table = dynamodb.Table('comment') ###Your table name in DynamoDB here
response = table.scan()
data = response['Items']
while 'LastEvaluatedKey' in response:
response = table.scan(ExclusiveStartKey=response['LastEvaluatedKey'])
data.extend(response['Items'])
然后在 R 中执行此操作.如果你在 Windows 上尝试这个,你可能想试试 rPython-win .我在 Ubuntu Linux 16.04 LTS 上完成了这一切.
Then in R you do this. If you're trying this on Windows, you may want to try rPython-win instead. I did all this on Ubuntu Linux 16.04 LTS.
library(rPython)
python.load("query_dynamo.py")
temp = as.data.frame(python.get('data'))
df = as.data.frame(t(temp))
rm(temp)
现在您将拥有一个名为df"的数据框,其中包含您放入 DynamoDB 中的任何内容.
Now you'll have a dataframe called "df" with the contents of whatever you put in DynamoDB.
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