Details
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Bug
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Status: Resolved
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Major
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Resolution: Fixed
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3.4.0
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Reviewed
Description
YARN-11514 extended the REST API to contain CapacityVectors for each configured node label. There is an edgecase however: during the initialization the each queue's capacities map will be filled with 0 capacities for the unconfigured, but accessible labels (where there is no configured capacity for the label, however the queue has access to it based on the accessible-node-labels property). A very basic example configuration for this is the following:
"yarn.scheduler.capacity.root.queues": "a, b" "yarn.scheduler.capacity.root.a.capacity": "50"); "yarn.scheduler.capacity.root.a.accessible-node-labels": "root-a-default-label" "yarn.scheduler.capacity.root.a.maximum-capacity": "50" "yarn.scheduler.capacity.root.b.capacity": "50"
root.a has access to root-a-default-label, however there is no configured capacity for it. The capacityVectors are parsed based on the configuredCapacity map (created from the "accessible-node-labels.<label>.capacity" configs). When the scheduler info is requested the capacityVectors are collected per label, and the labels used for this are the keySet of the capacity map:
for (String partitionName : capacities.getExistingNodeLabels()) { QueueCapacityVector queueCapacityVector = queue.getConfiguredCapacityVector(partitionName); queueCapacityVectorInfo = queueCapacityVector == null ? new QueueCapacityVectorInfo(new QueueCapacityVector()) : new QueueCapacityVectorInfo(queue.getConfiguredCapacityVector(partitionName));
public Set<String> getExistingNodeLabels() { readLock.lock(); try { return new HashSet<String>(capacitiesMap.keySet()); } finally { readLock.unlock(); } }
If the capacitiesMap contains entries that are not "configured", this will result in an NPE, breaking the UI and the REST API:
INTERNAL_SERVER_ERROR java.lang.NullPointerException at org.apache.hadoop.yarn.server.resourcemanager.webapp.dao.QueueCapacityVectorInfo.<init>(QueueCapacityVectorInfo.java:39) at org.apache.hadoop.yarn.server.resourcemanager.webapp.dao.QueueCapacitiesInfo.<init>(QueueCapacitiesInfo.java:61) at org.apache.hadoop.yarn.server.resourcemanager.webapp.dao.CapacitySchedulerLeafQueueInfo.populateQueueCapacities(CapacitySchedulerLeafQueueInfo.java:108) at org.apache.hadoop.yarn.server.resourcemanager.webapp.dao.CapacitySchedulerQueueInfo.<init>(CapacitySchedulerQueueInfo.java:137) at org.apache.hadoop.yarn.server.resourcemanager.webapp.dao.CapacitySchedulerLeafQueueInfo.<init>(CapacitySchedulerLeafQueueInfo.java:66) at org.apache.hadoop.yarn.server.resourcemanager.webapp.dao.CapacitySchedulerInfo.getQueues(CapacitySchedulerInfo.java:197) at org.apache.hadoop.yarn.server.resourcemanager.webapp.dao.CapacitySchedulerInfo.<init>(CapacitySchedulerInfo.java:94) at org.apache.hadoop.yarn.server.resourcemanager.webapp.RMWebServices.getSchedulerInfo(RMWebServices.java:399)
There is no need to create capacityVectors for the unconfigured labels, so a null check should solve this issue on the API side.
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