The Hortonworks Community Connection is now live. A completely rebuilt Q&A forum, Knowledge Base, Code Hub and more, backed by the experts in the industry.

You will be redirected here in 10 seconds. If your are not redirected, click here to visit the new site.

The legacy Hortonworks Forum is now closed. You can view a read-only version of the former site by clicking here. The site will be taken offline on January 31,2016

YARN Forum

how many Childs to run concurrently

  • #47026
    Sun Ww


    my nodemanage machines have 2*6 cores and enable hyper-threading.
    if I run max 18 YarnChilds on each machine concurrently, the cpu usage is often more than 90%. is it too high?

    if I run max 12 YarnChilds on each machine concurrently, the cpu usage is around 50%. Meanwhile I found the “r” column often shows 10~20 by using vmstat.

    which one should I choose, 18 or 12 ?

    Thank you

  • Author
  • #47616

    18 tasks on a 12 core machine is on the edge, but is reasonable. It does look like your workload is cpu intensive, so may be use 15 to hit a balance?

    You may also want to check the number of disks. Running N containers where N > 1.5 * numDisks usually has negative impact on job performance.

    Sun Ww

    I’ll try it.
    Thank you.

The forum ‘YARN’ is closed to new topics and replies.

Support from the Experts

A HDP Support Subscription connects you experts with deep experience running Apache Hadoop in production, at-scale on the most demanding workloads.

Enterprise Support »

Become HDP Certified

Real world training designed by the core architects of Hadoop. Scenario-based training courses are available in-classroom or online from anywhere in the world

Training »

Hortonworks Data Platform
The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly enterprise grade having been built, tested and hardened with enterprise rigor.
Get started with Sandbox
Hortonworks Sandbox is a self-contained virtual machine with Apache Hadoop pre-configured alongside a set of hands-on, step-by-step Hadoop tutorials.
Modern Data Architecture
Tackle the challenges of big data. Hadoop integrates with existing EDW, RDBMS and MPP systems to deliver lower cost, higher capacity infrastructure.