[jira] [Created] (SPARK-3561) Native Hadoop/YARN integration for batch/ETL workloads

["Oleg Zhurakousky (JIRA)" <ji...@apache.org>]

Oleg Zhurakousky created SPARK-3561:
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             Summary: Native Hadoop/YARN integration for batch/ETL workloads
                 Key: SPARK-3561
                 URL: https://issues.apache.org/jira/browse/SPARK-3561
             Project: Spark
          Issue Type: New Feature
          Components: core
    Affects Versions: 1.1.0
            Reporter: Oleg Zhurakousky
             Fix For: 1.2.0


Currently Spark provides integration with external resource-managers such as Apache Hadoop YARN, Mesos etc. Specifically in the context of YARN, the current architecture of Spark-on-YARN can be enhanced to provide significantly better utilization of cluster resources for large scale, batch and/or ETL applications when run alongside other applications (Spark and others) and services in YARN. 

Proposal:
The proposed approach would introduce a pluggable JobExecutionContext (trait) - a gateway and a delegate to Hadoop execution environment - as a non-public api (@DeveloperAPI) not exposed to end users of Spark.
The trait will define 4 only operations:
* hadoopFile
* newAPIHadoopFile
* broadcast
* runJob
Each method directly maps to the corresponding methods in current version of SparkContext. HadoopExecutionContext implementation will be accessed by SparkContext via “spark.hadoop.execution.context” property with default implementation containing the existing code from SparkContext, thus allowing current (corresponding) methods of SparkContext to delegate to such implementation. An integrator will now have an option to provide custom implementation of HadoopExecutionContext by either implementing it from scratch or extending form DefaultHadoopExecutionContext.

Please see the attached design doc for more details.
Pull Request will be posted shortly as well



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