EnricoMi commented on code in PR #45464:
URL: https://github.com/apache/spark/pull/45464#discussion_r1520050341
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resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/KubernetesExecutorBackend.scala:
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@@ -28,6 +28,46 @@ import org.apache.spark.rpc._
import org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages._
import org.apache.spark.util.Utils
+/**
+ * Custom implementation of CoarseGrainedExecutorBackend for Kubernetes
resource manager.
+ * This class provides kubernetes executor attributes.
+ */
+private[spark] class KubernetesExecutorBackend(
+ rpcEnv: RpcEnv,
+ appId: String,
+ driverUrl: String,
+ executorId: String,
+ bindAddress: String,
+ hostname: String,
+ podName: String,
+ cores: Int,
+ env: SparkEnv,
+ resourcesFile: Option[String],
+ resourceProfile: ResourceProfile)
+ extends CoarseGrainedExecutorBackend(
+ rpcEnv,
+ driverUrl,
+ executorId,
+ bindAddress,
+ hostname,
+ cores,
+ env,
+ resourcesFile,
+ resourceProfile) with Logging {
+
+ override def extractAttributes: Map[String, String] = {
+ super.extractAttributes ++
+ Map(
+ "LOG_FILES" -> "log",
+ "APP_ID" -> appId,
+ "EXECUTOR_ID" -> executorId,
+ "HOSTNAME" -> hostname,
+ "POD_NAME" -> podName
Review Comment:
I have added the namespace.
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