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  1. Spark
  2. SPARK-18935

Use Mesos "Dynamic Reservation" resource for Spark

    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 2.0.0, 2.0.1, 2.0.2
    • Fix Version/s: 2.3.0
    • Component/s: Mesos
    • Labels:
      None

      Description

      I'm running spark on Apache Mesos

      Please follow these steps to reproduce the issue:

      1. First, run Mesos resource reserve:

      curl -i -d slaveId=c24d1cfb-79f3-4b07-9f8b-c7b19543a333-S0 -d resources='[{"name":"cpus","type":"SCALAR","scalar":

      {"value":20}

      ,"role":"spark","reservation":{"principal":""}},{"name":"mem","type":"SCALAR","scalar":

      {"value":4096}

      ,"role":"spark","reservation":{"principal":""}}]' -X POST http://192.168.1.118:5050/master/reserve

      2. Then run spark-submit command:

      ./spark-submit --class org.apache.spark.examples.SparkPi --master mesos://192.168.1.118:5050 --conf spark.mesos.role=spark ../examples/jars/spark-examples_2.11-2.0.2.jar 10000

      And the console will keep loging same warning message as shown below:

      16/12/19 22:33:28 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

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            • Assignee:
              skonto Stavros Kontopoulos
              Reporter:
              jackyoh jackyoh
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              Dates

              • Created:
                Updated:
                Resolved: