tgravescs commented on a change in pull request #25047: [SPARK-27371][CORE]
Support GPU-aware resources scheduling in Standalone
URL: https://github.com/apache/spark/pull/25047#discussion_r311764579
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File path: core/src/main/scala/org/apache/spark/deploy/LocalSparkCluster.scala
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@@ -64,7 +64,8 @@ class LocalSparkCluster(
/* Start the Workers */
for (workerNum <- 1 to numWorkers) {
val workerEnv = Worker.startRpcEnvAndEndpoint(localHostname, 0, 0,
coresPerWorker,
- memoryPerWorker, masters, null, Some(workerNum), _conf)
+ memoryPerWorker, masters, null, Some(workerNum), _conf,
+ conf.get(config.Worker.SPARK_WORKER_RESOURCE_FILE))
Review comment:
I kind of forgot about this, we should probably document the fact you can't
use separate resource file or discovery script so only way to do this properly
is with the coordination. I added an item to
https://issues.apache.org/jira/browse/SPARK-27492 to make sure to document.
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