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  1. Spark
  2. SPARK-42703

How to use Fair Scheduler Pools

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    • Question
    • Status: Resolved
    • Major
    • Resolution: Invalid
    • 3.2.3
    • None
    • Scheduler
    • None

    Description

      I have two questions to ask:

      1.   I wrote a demo referring to the official website, but it didn't meet my expectations. I don't know if there was a problem with my writing.I hope that when I use the following fairscheduler.xml, pool1 always performs tasks before pool2
      2.    What is the relationship between "spark.scheduler.mode" and "schedulingMode" in fairscheduler.xml?

       

       

      object MultiJobTest {
        def main(args: Array[String]): Unit = {
          val conf = new SparkConf()
          conf.setAppName("test-pool").setMaster("local[1]")
          conf.set("spark.scheduler.mode", "FAIR")
          conf.set("spark.scheduler.allocation.file", "file:///D:/tmp/input/fairscheduler.xml")
          val sparkContext = new SparkContext(conf)
          val data: RDD[String] = sparkContext.textFile("file:///D:/tmp/input/input.txt")
      
          val rdd = data.flatMap(_.split(","))
            .map(x => (x(0), x(0)))
      
          new Thread(() => {
      
      
            sparkContext.setLocalProperty("spark.scheduler.pool", "pool1")
            rdd.foreachAsync(x => {
              println("1======start==" + new SimpleDateFormat("HH:mm:ss").format(new Date()))
              Thread.sleep(10000)
              println("1======end==" + new SimpleDateFormat("HH:mm:ss").format(new Date()))
            })
      
          }).start()
      
          new Thread(() => {
      
            sparkContext.setLocalProperty("spark.scheduler.pool", "pool2")
            rdd.foreachAsync(x => {
              println("2======start==" + new SimpleDateFormat("HH:mm:ss").format(new Date()))
              Thread.sleep(10000)
              println("2======end==" + new SimpleDateFormat("HH:mm:ss").format(new Date()))
            })
          }).start()
      
      
          TimeUnit.MINUTES.sleep(2)
          sparkContext.stop()
      
        }
      } 

       

      fairscheduler.xml

       

      <?xml version="1.0"?><!--
         Licensed to the Apache Software Foundation (ASF) under one or more
         contributor license agreements.  See the NOTICE file distributed with
         this work for additional information regarding copyright ownership.
         The ASF licenses this file to You under the Apache License, Version 2.0
         (the "License"); you may not use this file except in compliance with
         the License.  You may obtain a copy of the License at       http://www.apache.org/licenses/LICENSE-2.0   Unless required by applicable law or agreed to in writing, software
         distributed under the License is distributed on an "AS IS" BASIS,
         WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
         See the License for the specific language governing permissions and
         limitations under the License.
      --><allocations>
        <pool name="pool1">
          <schedulingMode>FAIR</schedulingMode>
          <weight>100</weight>
          <minShare>0</minShare>
        </pool>
        <pool name="pool2">
          <schedulingMode>FAIR</schedulingMode>
          <weight>1</weight>
          <minShare>0</minShare>
        </pool>
      </allocations> 

       

       

      input.txt

       

      aa bb 

       

       

       

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            Unassigned Unassigned
            lijie1912 LiJie2023
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              Updated:
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