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From "Yifan Guo (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-26993) _minRegisteredRatio default value is zero not 0.8 for Yarn
Date Tue, 26 Feb 2019 07:25:00 GMT
Yifan Guo created SPARK-26993:
---------------------------------

             Summary: _minRegisteredRatio default value is zero not 0.8 for Yarn
                 Key: SPARK-26993
                 URL: https://issues.apache.org/jira/browse/SPARK-26993
             Project: Spark
          Issue Type: Question
          Components: YARN
    Affects Versions: 2.4.0
            Reporter: Yifan Guo


private[spark]

class CoarseGrainedSchedulerBackend(scheduler: TaskSchedulerImpl, val rpcEnv: RpcEnv)
 extends ExecutorAllocationClient with SchedulerBackend with Logging {

 // Use an atomic variable to track total number of cores in the cluster for simplicity and
speed
 protected val totalCoreCount = new AtomicInteger(0)
 // Total number of executors that are currently registered
 protected val totalRegisteredExecutors = new AtomicInteger(0)
 protected val conf = scheduler.sc.conf
 private val maxRpcMessageSize = RpcUtils.maxMessageSizeBytes(conf)
 private val defaultAskTimeout = RpcUtils.askRpcTimeout(conf)
 // Submit tasks only after (registered resources / total expected resources)
 // is equal to at least this value, that is double between 0 and 1.
 private val _minRegisteredRatio =
 math.min(1, conf.getDouble("spark.scheduler.minRegister*edResourcesRatio", 0))*

 

override val minRegisteredRatio =
 if (conf.getOption("spark.scheduler.minRegisteredResourcesRatio").isEmpty) {
 0.8
 } else {
 super.minRegisteredRatio
 }

 

Apparently, if "spark.scheduler.minRegisteredResourcesRatio" is not configured, default value
is zero not 0.8

 

is that on purpose ? 

 

 

 

 

 

 



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