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https://issues.apache.org/jira/browse/HADOOP-13022?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Steve Loughran resolved HADOOP-13022.
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Resolution: Cannot Reproduce
closing as cannot reproduce; upgrading the SDK appears to have made it go away
> S3 MD5 check fails on Server Side Encryption-KMS with AWS and default key is
> used
> ---------------------------------------------------------------------------------
>
> Key: HADOOP-13022
> URL: https://issues.apache.org/jira/browse/HADOOP-13022
> Project: Hadoop Common
> Issue Type: Bug
> Components: fs/s3
> Affects Versions: 2.8.0
> Reporter: Leonardo Contreras
> Priority: Minor
>
> When server side encryption with "aws:kms" value and no custom key is used in
> S3A Filesystem, the AWSClient fails when verifing Md5:
> {noformat}
> Exception in thread "main" com.amazonaws.AmazonClientException: Unable to
> verify integrity of data upload. Client calculated content hash (contentMD5:
> 1B2M2Y8AsgTpgAmY7PhCfg== in base 64) didn't match hash (etag:
> c29fcc646e17c348bce9cca8f9d205f5 in hex) calculated by Amazon S3. You may
> need to delete the data stored in Amazon S3. (metadata.contentMD5: null,
> md5DigestStream:
> com.amazonaws.services.s3.internal.MD5DigestCalculatingInputStream@65d9e72a,
> bucketName: abuse-messages-nonprod, key:
> venus/raw_events/checkpoint/825eb6aa-543d-46b1-801f-42de9dbc1610/)
> at
> com.amazonaws.services.s3.AmazonS3Client.putObject(AmazonS3Client.java:1492)
> at
> org.apache.hadoop.fs.s3a.S3AFileSystem.createEmptyObject(S3AFileSystem.java:1295)
> at
> org.apache.hadoop.fs.s3a.S3AFileSystem.createFakeDirectory(S3AFileSystem.java:1272)
> at org.apache.hadoop.fs.s3a.S3AFileSystem.mkdirs(S3AFileSystem.java:969)
> at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:1888)
> at
> org.apache.spark.SparkContext$$anonfun$setCheckpointDir$2.apply(SparkContext.scala:2077)
> at
> org.apache.spark.SparkContext$$anonfun$setCheckpointDir$2.apply(SparkContext.scala:2074)
> at scala.Option.map(Option.scala:145)
> at
> org.apache.spark.SparkContext.setCheckpointDir(SparkContext.scala:2074)
> at
> org.apache.spark.streaming.StreamingContext.checkpoint(StreamingContext.scala:237)
> {noformat}
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