srowen commented on a change in pull request #24374: [SPARK-27366][CORE]
Support GPU Resources in Spark job scheduling
URL: https://github.com/apache/spark/pull/24374#discussion_r275377399
##########
File path:
core/src/test/scala/org/apache/spark/scheduler/CoarseGrainedSchedulerBackendSuite.scala
##########
@@ -164,16 +170,104 @@ class CoarseGrainedSchedulerBackendSuite extends
SparkFunSuite with LocalSparkCo
sc.addSparkListener(listener)
backend.driverEndpoint.askSync[Boolean](
- RegisterExecutor("1", mockEndpointRef, mockAddress.host, 1, logUrls,
attributes))
+ RegisterExecutor("1", mockEndpointRef, mockAddress.host, 1, logUrls,
attributes, Map.empty))
backend.driverEndpoint.askSync[Boolean](
- RegisterExecutor("2", mockEndpointRef, mockAddress.host, 1, logUrls,
attributes))
+ RegisterExecutor("2", mockEndpointRef, mockAddress.host, 1, logUrls,
attributes, Map.empty))
backend.driverEndpoint.askSync[Boolean](
- RegisterExecutor("3", mockEndpointRef, mockAddress.host, 1, logUrls,
attributes))
+ RegisterExecutor("3", mockEndpointRef, mockAddress.host, 1, logUrls,
attributes, Map.empty))
sc.listenerBus.waitUntilEmpty(executorUpTimeout.toMillis)
assert(executorAddedCount === 3)
}
+ test("extra gpu resources from executor") {
+ val conf = new SparkConf()
+ .set(GPUS_PER_TASK.key, "3")
+ .set(EXECUTOR_GPUS.key, "3")
+ .set(SCHEDULER_REVIVE_INTERVAL, 60000L) // don't let it auto revive
during test
Review comment:
Does this one take value like "1m"?
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