[jira] [Resolved] (SPARK-24273) Failure while using .checkpoint method to private S3 store via S3A connector

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-24273?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-24273.
----------------------------------
    Resolution: Incomplete

> Failure while using .checkpoint method to private S3 store via S3A connector
> ----------------------------------------------------------------------------
>
>                 Key: SPARK-24273
>                 URL: https://issues.apache.org/jira/browse/SPARK-24273
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Shell
>    Affects Versions: 2.3.0
>            Reporter: Jami Malikzade
>            Priority: Major
>              Labels: bulk-closed
>
> We are getting following error:
> {code}
> com.amazonaws.services.s3.model.AmazonS3Exception: Status Code: 416, AWS Service: Amazon S3, AWS Request ID: tx000000000000000014126-005ae9bfd9-9ed9ac2-default, AWS Error Code: InvalidRange, AWS Error Message: null, S3 Extended Request ID: 9ed9ac2-default-default"
> {code}
> when we use checkpoint method as below.
> {code}
> val streamBucketDF = streamPacketDeltaDF
>  .filter('timeDelta > maxGap && 'timeDelta <= 30000)
>  .withColumn("bucket", when('timeDelta <= mediumGap, "medium")
>  .otherwise("large")
>  )
>  .checkpoint()
> {code}
> Do you have idea how to prevent invalid range in header to be sent, or how it can be workarounded or fixed?
> Thanks.



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