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From "Michael Crawford (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (AIRFLOW-115) Migrate and Refactor AWS integration to use boto3 and better structured hooks
Date Mon, 09 Oct 2017 13:49:00 GMT

    [ https://issues.apache.org/jira/browse/AIRFLOW-115?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16196990#comment-16196990
] 

Michael Crawford commented on AIRFLOW-115:
------------------------------------------

and another s3 hook ticket which is already working with the refactored ones.

AIRFLW-1686 S3Hook expose boto list_objects and deletion methods

> Migrate and Refactor AWS integration to use boto3 and better structured hooks
> -----------------------------------------------------------------------------
>
>                 Key: AIRFLOW-115
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-115
>             Project: Apache Airflow
>          Issue Type: Improvement
>          Components: aws, boto3, hooks
>            Reporter: Arthur Wiedmer
>            Assignee: Arthur Wiedmer
>            Priority: Minor
>
> h2. Current State
> The current AWS integration is mostly done through the S3Hook, which uses non standard
credentials parsing on top of using boto instead of boto3 which is the current supported AWS
sdk for Python.
> h2. Proposal
> an AWSHook should be provided that maps Airflow connections to the boto3 API. Operators
working with s3, as well as other AWS services would then inherit from this hook but extend
the functionality with service specific methods like get_key for S3, start_cluster for EMR,
enqueue for SQS, send_email for SES etc...
> * AWSHook
> ** S3Hook
> ** EMRHook
> ** SQSHook
> ** SESHook
> ...
>  



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