YARN Forum

Querying YARN cluster for available resources

  • #44073
    Mayank Mohta

    I have been trying to use Apache YARN for graphchi project (http://graphlab.org/graphchi/). GraphChi enables computation on big graphs using a single machine by efficient way of sharding the data. Thus only part of the graph is in memory at any point.
    In a cluster of computers managed by YARN, I wish to write a GraphChi’s Application Master which can ask the cluster for machines based on estimated usage of memory by that program. I want this application master to be adaptive based on the resources available on cluster. More number shards implies less memory usage but more IO. Hence, ideally the GraphChi’s application master should query the resource manager for the resources available and decide on how many shards based on the container sizes the cluster can offer.
    I am not sure if seeing the entire state of cluster / querying the resource manager is possible in YARN. Please let me know if this is possible. If not, then is there some good way to achieve this?


to create new topics or reply. | New User Registration

You must be to reply to this topic. | Create Account

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.