[ 
https://issues.apache.org/jira/browse/SPARK-45527?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Thomas Graves reassigned SPARK-45527:
-------------------------------------

    Assignee: Bobby Wang

> Task fraction resource request is not expected
> ----------------------------------------------
>
>                 Key: SPARK-45527
>                 URL: https://issues.apache.org/jira/browse/SPARK-45527
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 3.2.1, 3.3.3, 3.4.1, 3.5.0
>            Reporter: wuyi
>            Assignee: Bobby Wang
>            Priority: Major
>              Labels: pull-request-available
>
>  
> {code:java}
> test("SPARK-XXX") {
>   import org.apache.spark.resource.{ResourceProfileBuilder, 
> TaskResourceRequests}
>   withTempDir { dir =>
>     val scriptPath = createTempScriptWithExpectedOutput(dir, 
> "gpuDiscoveryScript",
>       """{"name": "gpu","addresses":["0"]}""")
>     val conf = new SparkConf()
>       .setAppName("test")
>       .setMaster("local-cluster[1, 12, 1024]")
>       .set("spark.executor.cores", "12")
>     conf.set(TASK_GPU_ID.amountConf, "0.08")
>     conf.set(WORKER_GPU_ID.amountConf, "1")
>     conf.set(WORKER_GPU_ID.discoveryScriptConf, scriptPath)
>     conf.set(EXECUTOR_GPU_ID.amountConf, "1")
>     sc = new SparkContext(conf)
>     val rdd = sc.range(0, 100, 1, 4)
>     var rdd1 = rdd.repartition(3)
>     val treqs = new TaskResourceRequests().cpus(1).resource("gpu", 1.0)
>     val rp = new ResourceProfileBuilder().require(treqs).build
>     rdd1 = rdd1.withResources(rp)
>     assert(rdd1.collect().size === 100)
>   }
> } {code}
> In the above test, the 3 tasks generated by rdd1 are expected to be executed 
> in sequence as we expect "new TaskResourceRequests().cpus(1).resource("gpu", 
> 1.0)" should override "conf.set(TASK_GPU_ID.amountConf, "0.08")". However, 
> those 3 tasks are run in parallel in fact.
> The root cause is that ExecutorData#ExecutorResourceInfo#numParts is static. 
> In this case, the "gpu.numParts" is initialized with 12 (1/0.08) and won't 
> change even if there's a new task resource request (e.g., resource("gpu", 
> 1.0) in this case). Thus, those 3 tasks are able to be executed in parallel.
>  



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