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

HDP on Linux – Installation Forum

YARN and MapReduce Memory Configuration Settings on AWS

  • #52877

    Im having lots of troubles to make a Single Node Hadoop work on AWS. Im using an m1.large instance (2 cpu cores, 7,5 GB RAM, 1 disk). I already tried the HDP2.1 and HDP2.0 stacks and with the default configuration the Smoke Tests work fine but then Pig Scripts dont Run. Once I solved a similar problem problem changing the YARN memory settings, but this time I tried again and it doesnt work. Unfortunately I didnt write down the values I used when it did worked,

    Acoording to the YARN Utility Script recomended in:

    I get the following results:

    Using cores=2 memory=7GB disks=1 hbase=True
    Profile: cores=2 memory=4096MB reserved=3GB usableMem=4GB disks=1
    Num Container=3
    Container Ram=1024MB
    Used Ram=3GB
    Unused Ram=3GB

    I did the changes but then Mapreduce or other Smoke tests fail and the jobs still dont run. I also tried several configurations (8 cointainters of 512MB, etc) with no luck.

    Does anybody can suggest a right configuration for YARN and MapReduce memory setting for a single node in AWS m1.large?

    I’ll highly appreciate any help

The forum ‘HDP on Linux – Installation’ 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.