[
https://issues.apache.org/jira/browse/SPARK-42703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
LiJie2023 updated SPARK-42703:
------------------------------
Description:
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}
was:
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}
> 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
> Priority: Major
>
> 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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