[jira] [Created] (SPARK-42703) How to use Fair Scheduler Pools

["LiJie2023 (Jira)" <ji...@apache.org>]

LiJie2023 created SPARK-42703:
---------------------------------

             Summary: How to use Fair Scheduler Pools
                 Key: SPARK-42703
                 URL: https://issues.apache.org/jira/browse/SPARK-42703
             Project: Spark
          Issue Type: Question
          Components: Scheduler
    Affects Versions: 3.2.3
            Reporter: LiJie2023


I have two questions to ask:
 #   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
 #    What is the relationship between "spark.scheduler.mode" and "
{{{}schedulingMode{}}}" in fairscheduler.xml？

 

 
{code:java}
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()

  }
} {code}
 

fairscheduler.xml

 
{code:java}
<?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> {code}
 

 

input.txt

 
{code:java}
aa bb {code}
 

 

 



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