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https://issues.apache.org/jira/browse/HUDI-614?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Wong updated HUDI-614:
-----------------------------
    Description: 
Original issue: [https://github.com/apache/incubator-hudi/issues/1329]

Code I tried: 
[https://gist.github.com/popart/c16a4661528fe1819aa63a1fed351e0c,] based off of 
[https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-hudi-work-with-dataset.html].
 

In AWS EMR 5.28.0 & 5.28.0, attempting to query a hudi table from Presto 
results in the error: Could not find partitionDepth in partition metafile. 
Querying from Spark or Hive works as expected.

This problem does not occur when using HDFS.

cc: [~bhasudha]

  was:
Original issue: [https://github.com/apache/incubator-hudi/issues/1329]

Code I tried: 
[https://gist.github.com/popart/c16a4661528fe1819aa63a1fed351e0c,] based off of 
[https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-hudi-work-with-dataset.html].
 

In AWS EMR 5.28.0 & 5.28.0, attempting to query a hudi table from Presto 
results in the error: Could not find partitionDepth in partition metafile. 
Querying from Spark or Hive works as expected.

This problem does not occur in the docker env.

cc: [~bhasudha]


> EMR Presto cannot read Hudi tables saved to S3
> ----------------------------------------------
>
>                 Key: HUDI-614
>                 URL: https://issues.apache.org/jira/browse/HUDI-614
>             Project: Apache Hudi (incubating)
>          Issue Type: Bug
>    Affects Versions: 0.5.0, 0.5.1
>            Reporter: Andrew Wong
>            Priority: Major
>
> Original issue: [https://github.com/apache/incubator-hudi/issues/1329]
> Code I tried: 
> [https://gist.github.com/popart/c16a4661528fe1819aa63a1fed351e0c,] based off 
> of 
> [https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-hudi-work-with-dataset.html].
>  
> In AWS EMR 5.28.0 & 5.28.0, attempting to query a hudi table from Presto 
> results in the error: Could not find partitionDepth in partition metafile. 
> Querying from Spark or Hive works as expected.
> This problem does not occur when using HDFS.
> cc: [~bhasudha]



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