BELUGA BEHR created HIVE-19480:
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Summary: Implement and Incorporate MAPREDUCE-207
Key: HIVE-19480
URL: https://issues.apache.org/jira/browse/HIVE-19480
Project: Hive
Issue Type: New Feature
Components: HiveServer2
Affects Versions: 3.0.0
Reporter: BELUGA BEHR
* HiveServer2 has the ability to run many MapReduce jobs in parallel.
* Each MapReduce application calculates the job's file splits at the client
level
* = HiveServer2 loading many file splits at the same time, putting pressure on
memory
{quote}"The client running the job calculates the splits for the job by calling
getSplits(), then sends them to the application master, which uses their
storage locations to schedule map tasks that will process them on the cluster."
- "Hadoop: The Definitive Guide"{quote}
MAPREDUCE-207 should address this memory pressure by moving split calculations
into ApplicationMaster. Spark and Tez already take this approach.
Once MAPREDUCE-207 is completed, leverage the capability in HiveServer2.
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