[jira] [Assigned] (SPARK-23654) Cut jets3t as a dependency of spark-core

2018-08-11 Thread Sean Owen (JIRA)


 [ 
https://issues.apache.org/jira/browse/SPARK-23654?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sean Owen reassigned SPARK-23654:
-

Assignee: Steve Loughran

> Cut jets3t as a dependency of spark-core
> 
>
> Key: SPARK-23654
> URL: https://issues.apache.org/jira/browse/SPARK-23654
> Project: Spark
>  Issue Type: Improvement
>  Components: Spark Core
>Affects Versions: 2.4.0
>Reporter: Steve Loughran
>Assignee: Steve Loughran
>Priority: Minor
>
> Spark core declares a dependency on Jets3t, which pulls in other cruft
> # the hadoop-cloud module pulls in the hadoop-aws module with the 
> jets3t-compatible connectors, and the relevant dependencies: the spark-core 
> dependency is incomplete if that module isn't built, and superflous or 
> inconsistent if it is.
> # We've cut out s3n/s3 and all dependencies on jets3t entirely from hadoop 
> 3.x in favour we're willing to maintain.
> JetS3t was wonderful when it came out, but now the amazon SDKs massively 
> exceed it in functionality, albeit at the expense of week-to-week stability 
> and JAR binary compatibility



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[jira] [Assigned] (SPARK-23654) Cut jets3t as a dependency of spark-core

2018-04-24 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-23654?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-23654:


Assignee: Apache Spark

> Cut jets3t as a dependency of spark-core
> 
>
> Key: SPARK-23654
> URL: https://issues.apache.org/jira/browse/SPARK-23654
> Project: Spark
>  Issue Type: Improvement
>  Components: Spark Core
>Affects Versions: 2.4.0
>Reporter: Steve Loughran
>Assignee: Apache Spark
>Priority: Minor
>
> Spark core declares a dependency on Jets3t, which pulls in other cruft
> # the hadoop-cloud module pulls in the hadoop-aws module with the 
> jets3t-compatible connectors, and the relevant dependencies: the spark-core 
> dependency is incomplete if that module isn't built, and superflous or 
> inconsistent if it is.
> # We've cut out s3n/s3 and all dependencies on jets3t entirely from hadoop 
> 3.x in favour we're willing to maintain.
> JetS3t was wonderful when it came out, but now the amazon SDKs massively 
> exceed it in functionality, albeit at the expense of week-to-week stability 
> and JAR binary compatibility



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[jira] [Assigned] (SPARK-23654) Cut jets3t as a dependency of spark-core

2018-04-24 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-23654?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-23654:


Assignee: (was: Apache Spark)

> Cut jets3t as a dependency of spark-core
> 
>
> Key: SPARK-23654
> URL: https://issues.apache.org/jira/browse/SPARK-23654
> Project: Spark
>  Issue Type: Improvement
>  Components: Spark Core
>Affects Versions: 2.4.0
>Reporter: Steve Loughran
>Priority: Minor
>
> Spark core declares a dependency on Jets3t, which pulls in other cruft
> # the hadoop-cloud module pulls in the hadoop-aws module with the 
> jets3t-compatible connectors, and the relevant dependencies: the spark-core 
> dependency is incomplete if that module isn't built, and superflous or 
> inconsistent if it is.
> # We've cut out s3n/s3 and all dependencies on jets3t entirely from hadoop 
> 3.x in favour we're willing to maintain.
> JetS3t was wonderful when it came out, but now the amazon SDKs massively 
> exceed it in functionality, albeit at the expense of week-to-week stability 
> and JAR binary compatibility



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