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Writing json to file in s3 bucket


Writing json to file in s3 bucket

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Writing json to file in s3 bucket
Tag : python , By : Nicholas Hunter
Date : November 24 2020, 03:01 PM

this one helps. Amazon S3 is an object store (File store in reality). The primary operations are PUT and GET. You can not add data into an existing object in S3. You can only replace the entire object itself.
For a list of available operations you can perform on s3 see this link http://docs.aws.amazon.com/AmazonS3/latest/API/RESTObjectOps.html

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Writing to a file on Amazon s3 bucket using c#


Tag : chash , By : Richard
Date : March 29 2020, 07:55 AM
seems to work fine Amazon S3 doesn't support appending to objects. You would have to read the entire object from S3, then put it back again with the new data.
The AWS SDK for .NET (See http://aws.amazon.com/sdkfornet ) provides tools that will make authenticated S3 operations easier to manage in C#, including treating S3 buckets like a local filesystem (See http://docs.amazonwebservices.com/sdkfornet/latest/apidocs/html/N_Amazon_S3_IO.htm)

Writing an appspec.yml File for Deployment from S3 (and/or Bit Bucket) to AWS CodeDeploy


Tag : development , By : Tornike
Date : March 29 2020, 07:55 AM
help you fix your problem for using CodeDeploy. For new users, I'd like to recommend the following things to do:

Writing Spark RDD as text file to S3 bucket


Tag : scala , By : Thx1138.6
Date : March 29 2020, 07:55 AM
wish helps you I wasn't properly handling null values in one of my UDFs while pre-processing the data. Concretely, I had to change one of my UDFs from
val converter = (arg: String) => {
  arg.split("").mkString("_").replace(":","_") 
}
val converter = (arg: String) => {
  if (arg == null || arg== "") "" else arg.split("").mkString("_").replace(":","_") 
}

Writing a pickle file to an s3 bucket in AWS


Tag : python , By : al.
Date : March 29 2020, 07:55 AM
I wish did fix the issue. I've found the solution, need to call BytesIO into the buffer for pickle files instead of StringIO (which are for CSV files).
import io
pickle_buffer = io.BytesIO()
s3_resource = boto3.resource('s3')

new_df.to_pickle(pickle_buffer)
s3_resource.Object(bucket, key).put(Body=pickle_buffer.getvalue())

How to properly setup an IAM execution role and a bucket policy for getting lambda writing to a public read S3 bucket?


Tag : amazon-s3 , By : Guy Kastenbaum
Date : March 29 2020, 07:55 AM
wish help you to fix your issue So in my case what I was missing:
I had to include getObjectTagging and putObjectTagging actions.
- Effect: "Allow"
  Action:
    - "s3:ListBucket"
  Resource:
    - Fn::Join:
        - ""
        - - "arn:aws:s3:::"
          - Ref: StaticSiteBucket
- Effect: "Allow"
  Action:
    - "s3:GetObject"
    - "s3:PutObject"
    - "s3:DeleteObject"
    - "s3:GetObjectTagging"
    - "s3:PutObjectTagging"
  Resource:
    - Fn::Join:
        - ""
        - - "arn:aws:s3:::"
          - Ref: StaticSiteBucket
          - "/*"
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