[YARN-9737] Performance degradation, Distributed Opportunistic Scheduling

• Type: Bug
• Status: Open
• Priority: Major
• Resolution: Unresolved
• Affects Version/s: 3.1.2
• Component/s: distributed-scheduling, yarn
• Labels: performance scheduler scheduling

Environment

OS: Ubuntu 18.04
JVM: 1.8.0_212-8u212-b03-0ubuntu1.18.04.1-b03
1 * Resource Manager – Intel Core i7-4770 CPU @ 3.40GHz, 16GB Memory, 256GB ssd.
37 * Node Managers - Intel Core i7-4770 CPU @ 3.40GHz, 8GB Memory, 256GB ssd.
2 * 3.5 Gb slots per Node Manager, 1x cpu per slot

yarn-site: yarn-site.xml
yarn-client-yarn-site: yarn-client.yarn-site.xml

 

• Assignee: Unassigned
• Reporter: Babble Shack
• Created: 11/Aug/19 15:52
• Updated: 27/Sep/19 18:00

Description

Opportunistic scheduling is supposed to provide lower scheduling time, and thus higher task throughput and lower job completion times for short jobs/tasks.

Through my experiments I have found distributed scheduling can degrade performance.

I ran a gridmix trace of 100 short jobs, each with 50 tasks. Average task run time was 1523ms.

Findings:

• Job completion time, the time take from submitting a job to job completion, may degrade by over 200%
  jct_cdf_100j_100t_1500.svg
  jct_cdf_100j_50t_1500_with_outliers.svg
• Job execution time may increase by up to 300%
  jet_boxplot_j100_50t_1500.svg
  jet_boxplot_j100_50t_1500_with_outliers.svg
• Task throughput decreased by 100%
  ^{task_throughput_boxplot_100j_50t_1500.svg}