LantaoJin commented on a change in pull request #23951:
[SPARK-27038][CORE][YARN] Re-implement RackResolver to reduce resolving time
URL: https://github.com/apache/spark/pull/23951#discussion_r264072039
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File path:
resource-managers/yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnScheduler.scala
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@@ -17,23 +17,48 @@
package org.apache.spark.scheduler.cluster
+import org.apache.hadoop.net.NetworkTopology
import org.apache.hadoop.yarn.util.RackResolver
-import org.apache.log4j.{Level, Logger}
import org.apache.spark._
+import org.apache.spark.deploy.yarn.SparkRackResolver
+import org.apache.spark.internal.config.LOCALITY_WAIT
import org.apache.spark.scheduler.TaskSchedulerImpl
import org.apache.spark.util.Utils
private[spark] class YarnScheduler(sc: SparkContext) extends
TaskSchedulerImpl(sc) {
- // RackResolver logs an INFO message whenever it resolves a rack, which is
way too often.
- if (Logger.getLogger(classOf[RackResolver]).getLevel == null) {
- Logger.getLogger(classOf[RackResolver]).setLevel(Level.WARN)
- }
+ private[spark] val resolver = new SparkRackResolver
+
+ // Add a on-off switch to save time for rack resolving
+ val skipRackResolving: Boolean = sc.conf.getTimeAsMs(
Review comment:
updated
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