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Posted to dev@bahir.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2019/09/02 23:58:00 UTC
[jira] [Commented] (BAHIR-213) Faster S3 file Source for Structured
Streaming with SQS
[ https://issues.apache.org/jira/browse/BAHIR-213?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16921083#comment-16921083 ]
ASF GitHub Bot commented on BAHIR-213:
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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-527259701
@steveloughran could you please review this.
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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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