[WIP][CELEBORN-1577][Phase2] QuotaManager should support interrupt shuffle. #2819
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RexXiong
reviewed
Nov 4, 2024
| @@ -671,8 +671,14 @@ private[celeborn] class Worker( | |||
| val resourceConsumptionSnapshot = storageManager.userResourceConsumptionSnapshot() | |||
| val userResourceConsumptions = | |||
| workerInfo.updateThenGetUserResourceConsumption(resourceConsumptionSnapshot.asJava) | |||
| resourceConsumptionSnapshot.foreach { case (userIdentifier, _) => | |||
| resourceConsumptionSnapshot.foreach { case (userIdentifier, userResourceConsumption) => | |||
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It would be better not persist resourceConsumption into ratis When worker heartbeat subResourceConsumption
| masterSource.sample(UPDATE_RESOURCE_CONSUMPTION_TIME, this.getClass.getSimpleName, Map.empty) { | ||
| val clusterQuota = getClusterStorageQuota | ||
| var clusterResourceConsumption = ResourceConsumption(0, 0, 0, 0) | ||
| val userResourceConsumption = statusSystem.workerSnapshot.asScala.flatMap { workerInfo => |
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Lack of tenant-level quota checks.
| @@ -504,4 +501,10 @@ public boolean isWorkerAvailable(WorkerInfo workerInfo) { | |||
| public void updateApplicationMeta(ApplicationMeta applicationMeta) { | |||
| applicationMetas.putIfAbsent(applicationMeta.appId(), applicationMeta); | |||
| } | |||
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| public List<WorkerInfo> workerSnapshot() { | |||
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Why not directly use workers for computing resource consumption?
| quotaChecker.scheduleWithFixedDelay( | ||
| () => { | ||
| try { | ||
| updateResourceConsumption() |
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this method not ly update source consumption but also check quota for user-level, app-level, so may use another name or separate the logic
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This PR is stale because it has been open 20 days with no activity. Remove stale label or comment or this will be closed in 10 days. |
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What changes were proposed in this pull request?
2.1 When the tenant's resourceConsumption exceeds the tenant's quota, select the app with a larger consumption to mark interrupted.
2.2 When the resourceConsumption of the cluster exceeds the cluster quota, select the app with larger consumption to mark interrupted.
Why are the changes needed?
The current storage quota logic can only limit new shuffles, and cannot limit the writing of existing shuffles. In our production environment, there is such an scenario: the cluster is small, but the user's app single shuffle is large which occupied disk resources, we want to interrupt those shuffle.
Does this PR introduce any user-facing change?
No.
How was this patch tested?
UTs.