yrenat commented on code in PR #6046:
URL: https://github.com/apache/texera/pull/6046#discussion_r4056129506


##########
computing-unit-managing-service/src/main/scala/org/apache/texera/service/resource/ComputingUnitManagingResource.scala:
##########
@@ -61,18 +67,211 @@ import org.apache.texera.service.util.{
   KubernetesClient
 }
 import org.jooq.{DSLContext, EnumType}
+import org.jooq.impl.DSL.{boolOr, max}
+import org.slf4j.LoggerFactory
 import play.api.libs.json._
 
 import java.sql.Timestamp
 import scala.annotation.unused
 import scala.jdk.CollectionConverters.CollectionHasAsScala
+import scala.util.control.NonFatal
 
 object ComputingUnitManagingResource {
+  private[resource] val logger = 
LoggerFactory.getLogger(classOf[ComputingUnitManagingResource])
+
   private def context: DSLContext =
     SqlServer
       .getInstance()
       .createDSLContext()
 
+  private[resource] case class IdleComputingUnitCleanupConfig(
+      enabled: Boolean,
+      idleTimeoutMinutes: Long
+  )
+
+  private[resource] case class IdleComputingUnitCandidate(
+      unit: WorkflowComputingUnit,
+      username: Option[String]
+  )
+
+  /**
+    * The codes persisted in `workflow_executions.status`. These are the 
collapsed codes produced by
+    * amber's `Utils.maptoStatusCode`, NOT the ordinals of 
`WorkflowAggregatedState`, and this
+    * service cannot depend on the amber module to reuse either. Keep this in 
sync with
+    * `Utils.maptoStatusCode`: 0=UNINITIALIZED/READY, 1=RUNNING, 2=PAUSED, 
3=COMPLETED, 4=FAILED,
+    * 5=KILLED. Only the non-terminal codes are listed here, since that is all 
the sweep needs.
+    */
+  private[resource] object WorkflowExecutionStatus extends Enumeration {
+    val UninitializedOrReady: Value = Value(0)
+    val Running: Value = Value(1)
+    val Paused: Value = Value(2)
+
+    def toDbStatus(status: Value): java.lang.Short = 
Short.box(status.id.toShort)
+  }
+
+  private[resource] trait KubernetesPodOperations {
+    val podExists: Int => Boolean
+    val deletePod: Int => Unit
+  }
+
+  private[resource] object DefaultKubernetesPodOperations extends 
KubernetesPodOperations {
+    override val podExists: Int => Boolean = KubernetesClient.podExists
+    override val deletePod: Int => Unit = KubernetesClient.deletePod
+  }
+
+  private[resource] def lastComputingUnitActivityTime(
+      unit: WorkflowComputingUnit,
+      latestUpdateTime: Option[Timestamp],
+      latestStartTime: Option[Timestamp]
+  ): Timestamp =
+    Seq(
+      latestUpdateTime,
+      latestStartTime,
+      Option(unit.getCreationTime)
+    ).flatten.maxBy(_.getTime)
+
+  private[resource] def shouldTerminateIdleComputingUnit(
+      hasActiveExecution: Boolean,
+      lastExecutionTime: Timestamp,
+      cutoff: Timestamp
+  ): Boolean =
+    !hasActiveExecution && lastExecutionTime.before(cutoff)
+
+  def terminateIdleKubernetesComputingUnits(): 
List[TerminatedComputingUnitInfo] =
+    runIdleKubernetesComputingUnitCleanup(
+      IdleComputingUnitCleanupConfig(
+        KubernetesConfig.kubernetesComputingUnitEnabled,
+        KubernetesConfig.computingUnitIdleTimeoutMinutes
+      ),
+      () => new Timestamp(System.currentTimeMillis()),
+      DefaultKubernetesPodOperations
+    )
+
+  private[resource] def runIdleKubernetesComputingUnitCleanup(
+      cleanupConfig: IdleComputingUnitCleanupConfig,
+      currentTime: () => Timestamp,
+      podOperations: KubernetesPodOperations
+  ): List[TerminatedComputingUnitInfo] = {
+    if (!cleanupConfig.enabled || cleanupConfig.idleTimeoutMinutes <= 0) {
+      return List.empty
+    }
+
+    val now = currentTime()
+    val cutoff = new Timestamp(now.getTime - cleanupConfig.idleTimeoutMinutes 
* 60 * 1000)
+
+    idleKubernetesComputingUnitCandidates(cutoff).flatMap(candidate =>
+      terminateIdleKubernetesComputingUnitCandidate(candidate, now, 
podOperations)
+    )
+  }
+
+  private[resource] def idleKubernetesComputingUnitCandidates(
+      cutoff: Timestamp
+  ): List[IdleComputingUnitCandidate] = {
+    val activeStatuses = Seq(
+      WorkflowExecutionStatus.UninitializedOrReady,
+      WorkflowExecutionStatus.Running,
+      WorkflowExecutionStatus.Paused
+    ).map(WorkflowExecutionStatus.toDbStatus)
+
+    // All three questions asked per computing unit -- is any execution still 
active, when did an
+    // execution last report progress, when did one last start -- are 
aggregates over the same rows
+    // grouped by the same key, so one grouped query answers them for every 
unit at once. The left
+    // joins keep units that have no executions (both max() are NULL) and 
units whose owner row is
+    // gone (name is NULL), matching what a per-unit scan would produce.
+    val latestUpdateTime = max(WORKFLOW_EXECUTIONS.LAST_UPDATE_TIME)
+    val latestStartTime = max(WORKFLOW_EXECUTIONS.STARTING_TIME)
+    val hasActiveExecution = 
boolOr(WORKFLOW_EXECUTIONS.STATUS.in(activeStatuses: _*))
+
+    withTransaction(context) { ctx =>
+      ctx
+        .select(
+          WORKFLOW_COMPUTING_UNIT.asterisk(),
+          USER.NAME,
+          latestUpdateTime,
+          latestStartTime,
+          hasActiveExecution
+        )
+        .from(WORKFLOW_COMPUTING_UNIT)
+        .leftJoin(WORKFLOW_EXECUTIONS)
+        .on(WORKFLOW_EXECUTIONS.CUID.eq(WORKFLOW_COMPUTING_UNIT.CUID))
+        .leftJoin(USER)
+        .on(USER.UID.eq(WORKFLOW_COMPUTING_UNIT.UID))
+        .where(
+          WORKFLOW_COMPUTING_UNIT.TYPE
+            .eq(WorkflowComputingUnitTypeEnum.kubernetes)
+            .and(WORKFLOW_COMPUTING_UNIT.TERMINATE_TIME.isNull)
+        )
+        .groupBy(WORKFLOW_COMPUTING_UNIT.CUID, USER.NAME)
+        .fetch()
+        .asScala
+        .flatMap { record =>
+          val unit = 
record.into(WORKFLOW_COMPUTING_UNIT).into(classOf[WorkflowComputingUnit])
+          val lastExecutionTime = lastComputingUnitActivityTime(
+            unit,
+            Option(record.get(latestUpdateTime)),
+            Option(record.get(latestStartTime))
+          )
+
+          // bool_or over zero matching executions yields NULL, which means 
"no active execution"
+          val active = 
Option(record.get(hasActiveExecution)).exists(_.booleanValue())
+          if (shouldTerminateIdleComputingUnit(active, lastExecutionTime, 
cutoff)) {
+            Some(
+              IdleComputingUnitCandidate(
+                unit,
+                Option(record.get(USER.NAME)).filter(_.nonEmpty)
+              )
+            )
+          } else {
+            None
+          }
+        }
+        .toList
+    }
+  }
+
+  private[resource] def terminateIdleKubernetesComputingUnitCandidate(
+      candidate: IdleComputingUnitCandidate,
+      terminationTime: Timestamp,
+      podOperations: KubernetesPodOperations
+  ): Option[TerminatedComputingUnitInfo] = {
+    val cuid = candidate.unit.getCuid
+    try {
+      if (podOperations.podExists(cuid)) {
+        podOperations.deletePod(cuid)

Review Comment:
   Dropped `podExists`. fabric8 `delete()` on an absent pod is already a one 
round trip, issued after the UPDATE in the same transaction.



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