ASF GitHub Bot commented on BAHIR-213:

lresende commented on issue #91: [BAHIR-213] Faster S3 file Source for 
Structured Streaming with SQS
URL: https://github.com/apache/bahir/pull/91#issuecomment-559875628
   @abhishekd0907 could you please rebase to latest master to make sure we get 
a green build. Otherwise, looks ok to me.
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> Faster S3 file Source for Structured Streaming with SQS
> -------------------------------------------------------
>                 Key: BAHIR-213
>                 URL: https://issues.apache.org/jira/browse/BAHIR-213
>             Project: Bahir
>          Issue Type: New Feature
>          Components: Spark Structured Streaming Connectors
>    Affects Versions: Spark-2.4.0
>            Reporter: Abhishek Dixit
>            Priority: Major
> Using FileStreamSource to read files from a S3 bucket has problems both in 
> terms of costs and latency:
>  * *Latency:* Listing all the files in S3 buckets every microbatch can be 
> both slow and resource intensive.
>  * *Costs:* Making List API requests to S3 every microbatch can be costly.
> The solution is to use Amazon Simple Queue Service (SQS) which lets you find 
> new files written to S3 bucket without the need to list all the files every 
> microbatch.
> S3 buckets can be configured to send notification to an Amazon SQS Queue on 
> Object Create / Object Delete events. For details see AWS documentation here 
> [Configuring S3 Event 
> Notifications|https://docs.aws.amazon.com/AmazonS3/latest/dev/NotificationHowTo.html]
> Spark can leverage this to find new files written to S3 bucket by reading 
> notifications from SQS queue instead of listing files every microbatch.
> I hope to contribute changes proposed in [this pull 
> request|https://github.com/apache/spark/pull/24934] to Apache Bahir as 
> suggested by [gaborgsomogyi|https://github.com/gaborgsomogyi]  
> [here|https://github.com/apache/spark/pull/24934#issuecomment-511389130]

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