Uploaded image for project: 'Hadoop YARN'
  1. Hadoop YARN
  2. YARN-1200

Provide a central view for rack topologies

    XMLWordPrintableJSON

    Details

    • Type: Improvement
    • Status: Resolved
    • Priority: Major
    • Resolution: Duplicate
    • Affects Version/s: 2.1.0-beta
    • Fix Version/s: None
    • Component/s: resourcemanager
    • Labels:
      None

      Description

      It appears that with YARN, any AM (such as the MRv2 AM) that tries to do rack-info-based work, will need to resolve racks locally rather than get rack info from YARN directly: https://github.com/apache/hadoop-common/blob/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/v2/app/rm/RMContainerAllocator.java#L1054 and its use of a simple implementation of https://github.com/apache/hadoop-common/blob/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-common/src/main/java/org/apache/hadoop/yarn/util/RackResolver.java

      This is a regression, as we've traditionally only had users maintain rack mappings and its associated script on a single master role node (JobTracker), not at every compute node. Task spawning hosts have never done/needed rack resolution of their own.

      It is silly to have to maintain rack configs and their changes on all nodes. We should have the RM host a stable interface service so that there's only a single view of the topology across the cluster, and document for AMs to use that instead.

        Attachments

          Issue Links

            Activity

              People

              • Assignee:
                Unassigned
                Reporter:
                qwertymaniac Harsh J
              • Votes:
                0 Vote for this issue
                Watchers:
                6 Start watching this issue

                Dates

                • Created:
                  Updated:
                  Resolved: