Métricas do Dataproc

O Cloud Monitoring mostra o desempenho, o tempo de atividade e a integridade geral de aplicativos com tecnologia de nuvem. A observabilidade do Google Cloud coleta e ingere métricas, eventos e metadados de clusters do Dataproc, incluindo métricas de HDFS, HDFS, job e de operação por cluster, para gerar insights por meio de painéis e gráficos. Consulte Métricas do Dataproc do Cloud Monitoring.

Coleta de métricas de recursos do Dataproc

O Cloud Monitoring coleta métricas relacionadas aos seguintes recursos do Dataproc:

  • Cluster do Cloud Dataproc
  • Job do Cloud Dataproc
  • Lote do Cloud Dataproc
  • Sessão do Cloud Dataproc

As métricas de recursos do Dataproc são coletadas no seguinte formato: dataproc.googleapis.com/RESOURCE/METRIC e incluem a coleção de várias métricas de OSS.

Conferir métricas de recursos do Dataproc

Para selecionar e visualizar as métricas de recursos do Dataproc no Metrics Explorer, digite "dataproc" na caixa Filter by resource or metric name e selecione um recurso "Cloud Dataproc".

Coleta de métricas personalizadas

Ao criar um cluster do Dataproc, é possível ativar a coleção de métricas de uma ou mais origens de métrica personalizada. Um conjunto padrão de métricas é coletado de cada origem de métrica ativada, a menos que você especifique as métricas que serão coletadas de uma origem. As métricas especificadas pelo usuário são chamadas de "substituições de métrica".

As métricas de OSS personalizadas são coletadas no seguinte formato: custom.googleapis.com/OSS_COMPONENT/METRIC

Exemplos de métricas de OSS personalizadas: 

custom.googleapis.com/spark/driver/DAGScheduler/job/allJobs
custom.googleapis.com/hiveserver2/memory/MaxNonHeapMemory

Ativar a coleta de métrica personalizada

É possível usar a CLI gcloud ou a API Dataproc para ativar a coleta de métricas personalizadas de uma ou mais origens de métricas.

CLI da gcloud

Coleta de métricas personalizadas

Use a sinalização gcloud dataproc clusters create --metric-sources para ativar a coleta de métricas personalizadas de uma ou mais origens de métricas. 

gcloud dataproc clusters create cluster-name \
    --metric-sources=METRIC_SOURCE(s) \
    ... other flags

Observações:

Substituir a coleta de métricas

Se quiser, adicione a sinalização --metric-overrides ou --metric-overrides-file para ativar a coleta de uma ou mais das métricas personalizadas de uma ou mais fontes de métricas.

  • Qualquer uma das métricas personalizadas e todas as métricas do Spark podem ser listadas para coleta como uma substituição de métrica. Os valores de métricas de substituição diferenciam maiúsculas de minúsculas e precisam ser fornecidos, se apropriado, no formato CamelCase.

    Exemplos:

    • sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed
    • hiveserver2:JVM:Memory:NonHeapMemoryUsage.used
    • yarn:ResourceManager:JvmMetrics:MemHeapMaxM

  • Somente as métricas substituídas especificadas serão coletadas de uma determinada origem de métricas. Por exemplo, se uma ou mais métricas spark:executor forem listadas como substituições de métricas, outras métricas SPARK não serão coletadas. A coleta de métricas personalizadas de outras origens não é afetada. Por exemplo, se as origens de métricas SPARK e YARN estiverem ativadas e as substituições forem fornecidas apenas para métricas do Spark, o conjunto padrão de métricas do YARN ativadas será coletado.
  • A origem da substituição de métrica especificada precisa estar ativada. Por exemplo, se uma ou mais métricas spark:driver são fornecidas como substituições de métrica, a origem de métricas spark precisa ser ativada (--metric-sources=spark).

Substituir a lista de métricas

gcloud dataproc clusters create cluster-name \
    --metric-sources=METRIC_SOURCE(s) \
    --metric-overrides=LIST_OF_METRIC_OVERRIDES \
    ... other flags

Observações:

  • --metric-sources: obrigatório para ativar a coleta de métrica personalizada. Especifique uma ou mais das seguintes fontes de métricas: spark, flink, hdfs, yarn, spark-history-server, hiveserver2, hivemetastore e monitoring-agent-defaults. O nome da origem da métrica não diferencia maiúsculas de minúsculas. Por exemplo, "yarn" ou "YARN" é aceitável.
  • --metric-overrides: fornece uma lista de métricas no seguinte formato:

    METRIC_SOURCE:INSTANCE:GROUP:METRIC

    Exemplo:--metric-overrides=sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed

    Essa sinalização é uma alternativa e não pode ser usada com a sinalização --metric-overrides-file.

Substituir arquivo de métricas

gcloud dataproc clusters create cluster-name \
    --metric-sources=METRIC-SOURCE(s) \
    --metric-overrides-file=METRIC_OVERRIDES_FILENAME \
    ... other flags

Observações:

  • --metric-sources: obrigatório para ativar a coleta de métrica personalizada. Especifique uma ou mais das seguintes fontes de métricas: spark, flink, hdfs, yarn, spark-history-server, hiveserver2, hivemetastore e monitoring-agent-defaults. O nome da origem da métrica não diferencia maiúsculas de minúsculas. Por exemplo, "yarn" ou "YARN" é aceitável.
  • --metric-overrides-file: especifique um arquivo local ou do Cloud Storage (gs://bucket/filename) que contenha uma ou mais métricas no seguinte formato:

    METRIC_SOURCE:INSTANCE:GROUP:METRIC

    Use o formato CamelCase conforme apropriado.

    Exemplos:

    • --metric-overrides-file=gs://my-bucket/my-filename.txt
    • --metric-overrides-file=./local-directory/local-filename.txt

      Essa sinalização é uma alternativa e não pode ser usada com a sinalização --metric-overrides.

API REST

Use DataprocMetricConfig como parte de uma solicitação clusters.create para ativar a coleta de métricas personalizadas. Observação: monitoring-agent-defaults não estão disponíveis nos clusters da versão de imagem 2.2, a menos que o Agente de operações esteja instalado.

Conferir métricas personalizadas

Para selecionar e visualizar as métricas de recursos do Dataproc no Metrics Explorer, selecione o recurso VM Instance e Custom metrics.

Métricas personalizadas

É possível permitir que o Dataproc colete as métricas personalizadas listadas nas tabelas a seguir.

  • A coluna Métricas ativadas será marcada com "y" se o Dataproc coletar a métrica quando você ativar a origem da métrica associada.

  • Qualquer uma das métricas listadas para uma origem de métrica e todas as métricas do Spark poderão ser ativadas para coleta se você modificar a coleta do conjunto padrão de métricas ativadas para a origem da métrica. Consulte Ativar a coleta de métrica personalizada personalizadas.

  • O Dataproc usa o agente de monitoramento para coletar métricas. Ativar qualquer origem de métrica permite a coleta de métricas de agente. Essas métricas não são cobradas dos usuários. O Dataproc as usa para diagnosticar problemas de coleta de métricas.

Métricas do Hadoop

Métricas do HDFS

Métrica Nome do Metrics Explorer Métricas ativadas
hdfs:NameNode:FSNamesystem:CapacityTotalGB dfs/FSNamesystem/CapacityTotalGB y
hdfs:NameNode:FSNamesystem:CapacityUsedGB dfs/FSNamesystem/CapacityUsedGB y
hdfs:NameNode:FSNamesystem:CapacityRemainingGB dfs/FSNamesystem/CapacityRemainingGB y
hdfs:NameNode:FSNamesystem:FilesTotal dfs/FSNamesystem/FilesTotal y
hdfs:NameNode:FSNamesystem:MissingBlocks dfs/FSNamesystem/MissingBlocks n
hdfs:NameNode:FSNamesystem:ExpiredHeartbeats dfs/FSNamesystem/ExpiredHeartbeats n
hdfs:NameNode:FSNamesystem:TransactionsSinceLastCheckpoint dfs/FSNamesystem/TransactionsSinceLastCheckpoint n
hdfs:NameNode:FSNamesystem:TransactionsSinceLastLogRoll dfs/FSNamesystem/TransactionsSinceLastLogRoll n
hdfs:NameNode:FSNamesystem:LastWrittenTransactionId dfs/FSNamesystem/LastWrittenTransactionId n
hdfs:NameNode:FSNamesystem:CapacityTotal dfs/FSNamesystem/CapacityTotal n
hdfs:NameNode:FSNamesystem:CapacityUsed dfs/FSNamesystem/CapacityUsed n
hdfs:NameNode:FSNamesystem:CapacityRemaining dfs/FSNamesystem/CapacityRemaining n
hdfs:NameNode:FSNamesystem:CapacityUsedNonDFS dfs/FSNamesystem/CapacityUsedNonDFS n
hdfs:NameNode:FSNamesystem:TotalLoad dfs/FSNamesystem/TotalLoad n
hdfs:NameNode:FSNamesystem:SnapshottableDirectories dfs/FSNamesystem/SnapshottableDirectories n
hdfs:NameNode:FSNamesystem:Snapshots dfs/FSNamesystem/Snapshots n
hdfs:NameNode:FSNamesystem:BlocksTotal dfs/FSNamesystem/BlocksTotal n
hdfs:NameNode:FSNamesystem:PendingReplicationBlocks dfs/FSNamesystem/PendingReplicationBlocks n
hdfs:NameNode:FSNamesystem:UnderReplicatedBlocks dfs/FSNamesystem/UnderReplicatedBlocks n
hdfs:NameNode:FSNamesystem:CorruptBlocks dfs/FSNamesystem/CorruptBlocks n
hdfs:NameNode:FSNamesystem:ScheduledReplicationBlocks dfs/FSNamesystem/ScheduledReplicationBlocks n
hdfs:NameNode:FSNamesystem:PendingDeletionBlocks dfs/FSNamesystem/PendingDeletionBlocks n
hdfs:NameNode:FSNamesystem:ExcessBlocks dfs/FSNamesystem/ExcessBlocks n
hdfs:NameNode:FSNamesystem:PostponedMisreplicatedBlocks dfs/FSNamesystem/PostponedMisreplicatedBlocks n
hdfs:NameNode:FSNamesystem:PendingDataNodeMessageCourt dfs/FSNamesystem/PendingDataNodeMessageCourt n
hdfs:NameNode:FSNamesystem:MillisSinceLastLoadedEdits dfs/FSNamesystem/MillisSinceLastLoadedEdits n
hdfs:NameNode:FSNamesystem:BlockCapacity dfs/FSNamesystem/BlockCapacity n
hdfs:NameNode:FSNamesystem:StaleDataNodes dfs/FSNamesystem/StaleDataNodes n
hdfs:NameNode:FSNamesystem:TotalFiles dfs/FSNamesystem/TotalFiles n
hdfs:NameNode:JvmMetrics:MemHeapUsedM dfs/jvm/MemHeapUsedM n
hdfs:NameNode:JvmMetrics:MemHeapCommittedM dfs/jvm/MemHeapCommittedM n
hdfs:NameNode:JvmMetrics:MemHeapMaxM dfs/jvm/MemHeapMaxM n
hdfs:NameNode:JvmMetrics:MemMaxM dfs/jvm/MemMaxM n

Métricas YARN

Métrica Nome do Metrics Explorer Métricas ativadas
yarn:ResourceManager:ClusterMetrics:NumActiveNMs yarn/ClusterMetrics/NumActiveNMs y
yarn:ResourceManager:ClusterMetrics:NumDecommissionedNMs yarn/ClusterMetrics/NumDecommissionedNMs n
yarn:ResourceManager:ClusterMetrics:NumLostNMs yarn/ClusterMetrics/NumLostNMs n
yarn:ResourceManager:ClusterMetrics:NumUnhealthyNMs yarn/ClusterMetrics/NumUnhealthyNMs n
yarn:ResourceManager:ClusterMetrics:NumRebootedNMs yarn/ClusterMetrics/Num rebootedNMs n
yarn:ResourceManager:QueueMetrics:running_0 yarn/QueueMetrics/running_0 y
yarn:ResourceManager:QueueMetrics:running_60 yarn/QueueMetrics/running_60 y
yarn:ResourceManager:QueueMetrics:running_300 yarn/QueueMetrics/running_300 y
yarn:ResourceManager:QueueMetrics:running_1440 yarn/QueueMetrics/running_1440 y
yarn:ResourceManager:QueueMetrics:AppsSubmitted yarn/QueueMetrics/AppsSubmitted y
yarn:ResourceManager:QueueMetrics:AvailableMB yarn/QueueMetrics/AvailableMB y
yarn:ResourceManager:QueueMetrics:PendingContainers yarn/QueueMetrics/PendingContainers y
yarn:ResourceManager:QueueMetrics:AppsRunning yarn/QueueMetrics/AppsRunning n
yarn:ResourceManager:QueueMetrics:AppsPending yarn/QueueMetrics/AppsPending n
yarn:ResourceManager:QueueMetrics:AppsCompleted yarn/QueueMetrics/AppsCompleted n
yarn:ResourceManager:QueueMetrics:AppsKilled yarn/QueueMetrics/AppsKilled n
yarn:ResourceManager:QueueMetrics:AppsFailed yarn/QueueMetrics/AppsFailed n
yarn:ResourceManager:QueueMetrics:AllocatedMB yarn/QueueMetrics/AllocatedMB n
yarn:ResourceManager:QueueMetrics:AllocatedVCores yarn/QueueMetrics/AllocatedVCores n
yarn:ResourceManager:QueueMetrics:AllocatedContainers yarn/QueueMetrics/AllocatedContainers n
yarn:ResourceManager:QueueMetrics:AggregateContainersAllocated yarn/QueueMetrics/AggregateContainersAllocated n
yarn:ResourceManager:QueueMetrics:AggregateContainersReleased yarn/QueueMetrics/AggregateContainersReleased n
yarn:ResourceManager:QueueMetrics:AvailableVCores yarn/QueueMetrics/AvailableVCores n
yarn:ResourceManager:QueueMetrics:PendingMB yarn/QueueMetrics/PendingMB n
yarn:ResourceManager:QueueMetrics:PendingVCores yarn/QueueMetrics/PendingVCores n
yarn:ResourceManager:QueueMetrics:ReservedMB yarn/QueueMetrics/ReservedMB n
yarn:ResourceManager:QueueMetrics:ReservedVCores yarn/QueueMetrics/ReservedVCores n
yarn:ResourceManager:QueueMetrics:ReservedContainers yarn/QueueMetrics/ReservedContainers n
yarn:ResourceManager:QueueMetrics:ActiveUsers yarn/QueueMetrics/ActiveUsers n
yarn:ResourceManager:QueueMetrics:ActiveApplications yarn/QueueMetrics/ActiveApplications n
yarn:ResourceManager:QueueMetrics:FairShareMB yarn/QueueMetrics/FairShareMB n
yarn:ResourceManager:QueueMetrics:FairShareVCores yarn/QueueMetrics/FairShareVCores n
yarn:ResourceManager:QueueMetrics:MinShareMB yarn/QueueMetrics/MinShareMB n
yarn:ResourceManager:QueueMetrics:MinShareVCores yarn/QueueMetrics/MinShareVCores n
yarn:ResourceManager:QueueMetrics:MaxShareMB yarn/QueueMetrics/MaxShareMB n
yarn:ResourceManager:QueueMetrics:MaxShareVCores yarn/QueueMetrics/MaxShareVCores n
yarn:ResourceManager:JvmMetrics:MemHeapUsedM yarn/jvm/MemHeapUsedM n
yarn:ResourceManager:JvmMetrics:MemHeapCommittedM yarn/jvm/MemHeapCommittedM n
yarn:ResourceManager:JvmMetrics:MemHeapMaxM yarn/jvm/MemHeapMaxM n
yarn:ResourceManager:JvmMetrics:MemMaxM yarn/jvm/MemMaxM n

Métricas do Spark

Métricas do driver do Spark

Métrica Nome do Metrics Explorer Métricas ativadas
spark:driver:BlockManager:disk.diskSpaceUsed_MB spark/driver/BlockManager/disk/diskSpaceUsed_MB y
spark:driver:BlockManager:memory.maxMem_MB spark/driver/BlockManager/memory/maxMem_MB y
spark:driver:BlockManager:memory.memUsed_MB spark/driver/BlockManager/memory/memUsed_MB y
spark:driver:DAGScheduler:job.allJobs spark/driver/DAGScheduler/job/allJobs y
spark:driver:DAGScheduler:stage.failedStages spark/driver/DAGScheduler/stage/failedStages y
spark:driver:DAGScheduler:stage.waitingStages spark/driver/DAGScheduler/stage/waitingStages y

Métricas do executor do Spark

Métrica Nome do Metrics Explorer Métricas ativadas
spark:executor:executor:bytesRead spark/executor/bytesRead y
spark:executor:executor:bytesWritten spark/executor/bytesWritten y
spark:executor:executor:cpuTime spark/executor/cpuTime y
spark:executor:executor:diskBytesSpilled spark/executor/diskBytesSpilled y
spark:executor:executor:recordsRead spark/executor/recordsRead y
spark:executor:executor:recordsWritten spark/executor/recordsWritten y
spark:executor:executor:runTime spark/executor/runTime y
spark:executor:executor:shuffleRecordsRead spark/executor/shuffleRecordsRead y
spark:executor:executor:shuffleRecordsWritten spark/executor/shuffleRecordsWritten y
Métrica Nome do Metrics Explorer Métricas ativadas
flink:jobmanager:numRegisteredTaskManagers flink/jobmanager/numRegisteredTaskManagers n
flink:jobmanager:numRunningJobs flink/jobmanager/numRunningJobs n
flink:jobmanager:Status.JVM.ClassLoader.ClassesLoaded flink/jobmanager/Status.JVM.ClassLoader.ClassesLoaded n
flink:jobmanager:Status.JVM.ClassLoader.ClassesUnloaded flink/jobmanager/Status.JVM.ClassLoader.ClassesUnloaded n
flink:jobmanager:Status.JVM.CPU.Load flink/jobmanager/Status.JVM.CPU.Load n
flink:jobmanager:Status.JVM.CPU.Time flink/jobmanager/Status.JVM.CPU.Time y
flink:jobmanager:Status.JVM.GarbageCollector.PSMarkSweep.Count flink/jobmanager/Status.JVM.GarbageCollector.PSMarkSweep.Count n
flink:jobmanager:Status.JVM.Garbagecollector.PSMarkSweep.Time flink/jobmanager/Status.JVM.Garbagecollector.PSMarkSweep.Time n
flink:jobmanager:Status.JVM.GarbageCollector.PSScavenge.Count flink/jobmanager/Status.JVM.GarbageCollector.PSScavenge.Count n
flink:jobmanager:Status.JVM.Garbagecollector.PSScavenge.Time flink/jobmanager/Status.JVM.Garbagecollector.PSScavenge.Time n
flink:jobmanager:Status.JVM.Memory.Direct.Count flink/jobmanager/Status.JVM.Memory.Direct.Count y
flink:jobmanager:Status.JVM.Memory.Direct.MemoryUsed flink/jobmanager/Status.JVM.Memory.Direct.MemoryUsed y
flink:jobmanager:Status.JVM.Memory.Direct.TotalCapacity flink/jobmanager/Status.JVM.Memory.Direct.TotalCapacity y
flink:jobmanager:Status.JVM.Memory.Heap.reduzido flink/jobmanager/Status.JVM.Memory.Heap.commit y
flink:jobmanager:Status.JVM.Memory.Heap.Max flink/jobmanager/Status.JVM.Memory.Heap.Max y
flink:jobmanager:Status.JVM.Memory.Heap.Used flink/jobmanager/Status.JVM.Memory.Heap.Used y
flink:jobmanager:Status.JVM.Memory.Mapped.Count flink/jobmanager/Status.JVM.Memory.Mapped.Count y
flink:jobmanager:Status.JVM.Memory.Mapped.MemoryUsed flink/jobmanager/Status.JVM.Memory.Mapped.MemoryUsed y
flink:jobmanager:Status.JVM.Memory.Mapped.TotalCapacity flink/jobmanager/Status.JVM.Memory.Mapped.TotalCapacity y
flink:jobmanager:Status.JVM.Memory.Metaspace.Committed flink/jobmanager/Status.JVM.Memory.Metaspace.Committed n
flink:jobmanager:Status.JVM.Memory.Metaspace.Max flink/jobmanager/Status.JVM.Memory.Metaspace.Max n
flink:jobmanager:Status.JVM.Memory.Metaspace.Used flink/jobmanager/Status.JVM.Memory.Metaspace.Used n
flink:jobmanager:Status.JVM.Memory.NonHeap.Committed flink/jobmanager/Status.JVM.Memory.NonHeap.Committed n
flink:jobmanager:Status.JVM.Memory.NonHeap.Max flink/jobmanager/Status.JVM.Memory.NonHeap.Max n
flink:jobmanager:Status.JVM.Memory.NonHeap.Used flink/jobmanager/Status.JVM.Memory.NonHeap.Used n
flink:jobmanager:Status.JVM.Threads.Count flink/jobmanager/Status.JVM.Threads.Count n
flink:jobmanager:taskSlotsAvailable flink/jobmanager/taskSlotsAvailable y
flink:jobmanager:taskSlotsTotal flink/jobmanager/taskSlotsTotal y
flink:operador:numRecordsIn flink/operador/numRecordsIn n
flink:operator:numRecordsInPerSecond.count flink/operator/numRecordsInPerSecond.count n
flink:operator:numRecordsInPerSecond.rate flink/operator/numRecordsInPerSecond.rate n
flink:operador:numRecordsOut flink/operador/numRecordsOut n
flink:operator:numRecordsOutPerSecond.count flink/operator/numRecordsOutPerSecond.count n
flink:operator:numRecordsOutPerSecond.rate flink/operator/numRecordsOutPerSecond.rate n
flink:operator:numSplitsProcessed flink/operador/numSplitsProcessed n
flink:task:buffers.inPoolUsage flink/task/buffers.inPoolUsage n
flink:task:buffers.inputUniqueBuffersUsage flink/task/buffers.inputUniqueBuffersUsage n
flink:task:buffers.inputFloatingBuffersUsage flink/task/buffers.inputFloatingBuffersUsage n
flink:task:buffers.inputQueueLength flink/task/buffers.inputQueueLength n
flink:task:buffers.outPoolUsage flink/task/buffers.outPoolUsage n
flink:task:buffers.outputQueueLength flink/task/buffers.outputQueueLength n
flink:task:idleTimeMsPerSecond.count flink/task/idleTimeMsPerSecond.count n
flink:task:idleTimeMsPerSecond.rate flink/task/idleTimeMsPerSecond.rate n
flink:task:numBuffersInLocal flink/task/numBuffersInLocal n
flink:task:numBuffersInLocalPerSecond.count flink/task/numBuffersInLocalPerSecond.count n
flink:task:numBuffersInLocalPerSecond.rate flink/task/numBuffersInLocalPerSecond.rate n
flink:task:numBuffersInRemote flink/task/numBuffersInRemote n
flink:task:numBuffersInRemotePerSecond.count flink/task/numBuffersInRemotePerSecond.count n
flink:task:numBuffersInRemotePerSecond.rate flink/task/numBuffersInRemotePerSecond.rate n
flink:task:numBuffersOut flink/task/numBuffersOut n
flink:task:numBuffersOutPerSecond.count flink/task/numBuffersOutPerSecond.count n
flink:task:numBuffersOutPerSecond.rate flink/task/numBuffersOutPerSecond.rate n
flink:task:numBytesIn flink/task/numBytesIn n
flink:task:numBytesInLocal flink/task/numBytesInLocal n
flink:task:numBytesInLocalPerSecond.count flink/task/numBytesInLocalPerSecond.count n
flink:task:numBytesInLocalPerSecond.rate flink/task/numBytesInLocalPerSecond.rate n
flink:task:numBytesInPerSecond.count flink/task/numBytesInPerSecond.count n
flink:task:numBytesInPerSecond.rate flink/task/numBytesInPerSecond.rate n
flink:task:numBytesInRemote flink/task/numBytesInRemote n
flink:task:numBytesInRemotePerSecond.count flink/task/numBytesInRemotePerSecond.count n
flink:task:numBytesInRemotePerSecond.rate flink/task/numBytesInRemotePerSecond.rate n
flink:task:numBytesOut flink/task/numBytesOut n
flink:task:numBytesOutPerSecond.count flink/task/numBytesOutPerSecond.count n
flink:task:numBytesOutPerSecond.rate flink/task/numBytesOutPerSecond.rate n
flink:task:numRecordsIn flink/task/numRecordsIn n
flink:task:numRecordsInPerSecond.count flink/task/numRecordsInPerSecond.count n
flink:task:numRecordsInPerSecond.rate flink/task/numRecordsInPerSecond.rate n
flink:task:numRecordsOut flink/task/numRecordsOut n
flink:task:numRecordsOutPerSecond.count flink/task/numRecordsOutPerSecond.count n
flink:task:numRecordsOutPerSecond.rate flink/task/numRecordsOutPerSecond.rate n
flink:task:Shuffle.Netty.Input.Buffers.inPoolUsage flink/task/Shuffle.Netty.Input.Buffers.inPoolUsage n
flink:task:Shuffle.Netty.Input.Buffers.inputUniqueBuffersUsage flink/task/Shuffle.Netty.Input.Buffers.inputExclusiveBuffersUsage n
flink:task:Shuffle.Netty.Input.Buffers.inputFloatingBuffersUsage flink/task/Shuffle.Netty.Input.Buffers.inputFloatingBuffersUsage n
flink:task:Shuffle.Netty.Input.Buffers.inputQueueLength flink/task/Shuffle.Netty.Input.Buffers.inputQueueLength n
flink:task:Shuffle.Netty.Input.numBuffersInLocal flink/task/Shuffle.Netty.Input.numBuffersInLocal n
flink:task:Shuffle.Netty.Input.numBuffersInLocalPerSecond.count flink/task/Shuffle.Netty.Input.numBuffersInLocalPerSecond.count n
flink:task:Shuffle.Netty.Input.numBuffersInLocalPerSecond.rate flink/task/Shuffle.Netty.Input.numBuffersInLocalPerSecond.rate n
flink:task:Shuffle.Netty.Input.numBuffersInRemote flink/task/Shuffle.Netty.Input.numBuffersInRemote n
flink:task:Shuffle.Netty.Input.numBuffersInRemotePerSecond.count flink/task/Shuffle.Netty.Input.numBuffersInRemotePerSecond.count n
flink:task:Shuffle.Netty.Input.numBuffersInRemotePerSecond.rate flink/task/Shuffle.Netty.Input.numBuffersInRemotePerSecond.rate n
flink:task:Shuffle.Netty.Input.numBytesInLocal flink/task/Shuffle.Netty.Input.numBytesInLocal n
flink:task:Shuffle.Netty.Input.numBytesInLocalPerSecond.count flink/task/Shuffle.Netty.Input.numBytesInLocalPerSecond.count n
flink:task:Shuffle.Netty.Input.numBytesInLocalPerSecond.rate flink/task/Shuffle.Netty.Input.numBytesInLocalPerSecond.rate n
flink:task:Shuffle.Netty.Input.numBytesInRemote flink/task/Shuffle.Netty.Input.numBytesInRemote n
flink:task:Shuffle.Netty.Input.numBytesInRemotePerSecond.count flink/task/Shuffle.Netty.Input.numBytesInRemotePerSecond.count n
flink:task:Shuffle.Netty.Input.numBytesInRemotePerSecond.rate flink/task/Shuffle.Netty.Input.numBytesInRemotePerSecond.rate n
flink:task:Shuffle.Netty.Output.Buffers.outPoolUsage flink/task/Shuffle.Netty.Output.Buffers.outPoolUsage n
flink:task:Shuffle.Netty.Output.Buffers.outputQueueLength flink/task/Shuffle.Netty.Output.Buffers.outputQueueLength n
flink:taskmanager:Status.flink.Memory.Managed.Total flink/taskmanager/Status.flink.Memory.Managed.Total n
flink:taskmanager:Status.flink.Memory.Managed.Used flink/taskmanager/Status.flink.Memory.Managed.Used n
flink:taskmanager:Status.JVM.ClassLoader.ClassesLoaded flink/taskmanager/Status.JVM.ClassLoader.ClassesLoaded n
flink:taskmanager:Status.JVM.ClassLoader.ClassesUnloaded flink/taskmanager/Status.JVM.ClassLoader.ClassesUnloaded n
flink:taskmanager:Status.JVM.CPU.Load flink/taskmanager/Status.JVM.CPU.Load n
flink:taskmanager:Status.JVM.CPU.Time flink/taskmanager/Status.JVM.CPU.Time y
flink:taskmanager:Status.JVM.GarbageCollector.PSMarkSweep.Count flink/taskmanager/Status.JVM.GarbageCollector.PSMarkSweep.Count n
flink:taskmanager:Status.JVM.Garbagecollector.PSMarkSweep.Time flink/taskmanager/Status.JVM.Garbagecollector.PSMarkSweep.Time n
flink:taskmanager:Status.JVM.GarbageCollector.PSScavenge.Count flink/taskmanager/Status.JVM.GarbageCollector.PSScavenge.Count n
flink:taskmanager:Status.JVM.Garbagecollector.PSScavenge.Time flink/taskmanager/Status.JVM.Garbagecollector.PSScavenge.Time n
flink:taskmanager:Status.JVM.Memory.Direct.Count flink/taskmanager/Status.JVM.Memory.Direct.Count y
flink:taskmanager:Status.JVM.Memory.Direct.MemoryUsed flink/taskmanager/Status.JVM.Memory.Direct.MemoryUsed y
flink:taskmanager:Status.JVM.Memory.Direct.TotalCapacity flink/taskmanager/Status.JVM.Memory.Direct.TotalCapacity y
flink:taskmanager:Status.JVM.Memory.Heap.reduzido flink/taskmanager/Status.JVM.Memory.Heap.reduzido y
flink:taskmanager:Status.JVM.Memory.Heap.Max flink/taskmanager/Status.JVM.Memory.Heap.Max y
flink:taskmanager:Status.JVM.Memory.Heap.Used flink/taskmanager/Status.JVM.Memory.Heap.Used y
flink:taskmanager:Status.JVM.Memory.Mapped.Count flink/taskmanager/Status.JVM.Memory.Mapped.Count y
flink:taskmanager:Status.JVM.Memory.Mapped.MemoryUsed flink/taskmanager/Status.JVM.Memory.Mapped.MemoryUsed y
flink:taskmanager:Status.JVM.Memory.Mapped.TotalCapacity flink/taskmanager/Status.JVM.Memory.Mapped.TotalCapacity y
flink:taskmanager:Status.JVM.Memory.Metaspace.Committed flink/taskmanager/Status.JVM.Memory.Metaspace.Committed n
flink:taskmanager:Status.JVM.Memory.Metaspace.Max flink/taskmanager/Status.JVM.Memory.Metaspace.Max n
flink:taskmanager:Status.JVM.Memory.Metaspace.Used flink/taskmanager/Status.JVM.Memory.Metaspace.Used n
flink:taskmanager:Status.JVM.Memory.NonHeap.Committed flink/taskmanager/Status.JVM.Memory.NonHeap.Committed n
flink:taskmanager:Status.JVM.Memory.NonHeap.Max flink/taskmanager/Status.JVM.Memory.NonHeap.Max n
flink:taskmanager:Status.JVM.Memory.NonHeap.Used flink/taskmanager/Status.JVM.Memory.NonHeap.Used n
flink:taskmanager:Status.JVM.Threads.Count flink/taskmanager/Status.JVM.Threads.Count n
flink:taskmanager:Status.Network.AvailableMemorySegmentos flink/taskmanager/Status.Network.AvailableMemorySegmentos n
flink:taskmanager:Status.Network.TotalMemorySegmentos flink/taskmanager/Status.Network.TotalMemorySegmentos n
flink:taskmanager:Status.Shuffle.Netty.AvailableMemory flink/taskmanager/Status.Shuffle.Netty.AvailableMemory n
flink:taskmanager:Status.Shuffle.Netty.AvailableMemorySegmentos flink/taskmanager/Status.Shuffle.Netty.AvailableMemorySegmentos n
flink:taskmanager:Status.Shuffle.Netty.TotalMemory flink/taskmanager/Status.Shuffle.Netty.TotalMemory n
flink:taskmanager:Status.Shuffle.Netty.TotalMemorySegmentos flink/taskmanager/Status.Shuffle.Netty.TotalMemorySegmentos n
flink:taskmanager:Status.Shuffle.Netty.UsedMemory flink/taskmanager/Status.Shuffle.Netty.UsedMemory n
flink:taskmanager:Status.Shuffle.Netty.UsedMemorySegmentos flink/taskmanager/Status.Shuffle.Netty.UsedMemorySegmentos n

Métricas do servidor de histórico do Spark

O Dataproc coleta as seguintes métricas de memória da JVM do serviço de histórico do Spark:

Métrica Nome do Metrics Explorer Métricas ativadas
sparkHistoryServer:JVM:Memory:HeapMemoryUsage.committed sparkHistoryServer/memory/commitHeapMemory y
sparkHistoryServer:JVM:Memory:HeapMemoryUsage.used sparkHistoryServer/memory/UsedHeapMemory y
sparkHistoryServer:JVM:Memory:HeapMemoryUsage.max sparkHistoryServer/memory/MaxHeapMemory y
sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed sparkHistoryServer/memory/commitNonHeapMemory y
sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.used sparkHistoryServer/memory/UsedNonHeapMemory y
sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.max sparkHistoryServer/memory/MaxNonHeapMemory y

Métricas do HiveServer 2

Métrica Nome do Metrics Explorer Métricas ativadas
hiveserver2:JVM:Memory:HeapMemoryUsage.committed hiveserver2/memory/commitHeapMemory y
hiveserver2:JVM:Memory:HeapMemoryUsage.used hiveserver2/memory/UsedHeapMemory y
hiveserver2:JVM:Memory:HeapMemoryUsage.max hiveserver2/memória/MaxHeapMemory y
hiveserver2:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2/memória/commitNonHeapMemory y
hiveserver2:JVM:Memory:NonHeapMemoryUsage.used hiveserver2/memória/UsedNonHeapMemory y
hiveserver2:JVM:Memory:NonHeapMemoryUsage.max hiveserver2/memória/MaxNonHeapMemory y

Métricas do Hive Metastore

Métrica Nome do Metrics Explorer Métricas ativadas
hivemetastore:API:GetDatabase:Mean hivemetastore/get_database/mean y
hivemetastore:API:CreateDatabase:Mean hivemetastore/create_database/mean y
hivemetastore:API:DropDatabase:Mean hivemetastore/drop_database/mean y
hivemetastore:API:AlterDatabase:Mean hivemetastore/alter_database/mean y
hivemetastore:API:GetAllDatabases:Mean hivemetastore/get_all_databases/mean y
hivemetastore:API:CreateTable:Mean hivemetastore/create_table/mean y
hivemetastore:API:DropTable:Mean hivemetastore/drop_table/mean y
hivemetastore:API:AlterTable:Mean hivemetastore/alter_table/mean y
hivemetastore:API:GetTable:Mean hivemetastore/get_table/mean y
hivemetastore:API:GetAllTables:Mean hivemetastore/get_all_tables/mean y
hivemetastore:API:AddPartitionsReq:Mean hivemetastore/add_partitions_req/mean y
hivemetastore:API:DropPartition:Mean hivemetastore/drop_partition/mean y
hivemetastore:API:AlterPartition:Mean hivemetastore/alter_partition/mean y
hivemetastore:API:GetPartition:Mean hivemetastore/get_partition/mean y
hivemetastore:API:GetPartitionNames:Mean hivemetastore/get_partition_names/mean y
hivemetastore:API:GetPartitionsPs:Mean hivemetastore/get_partitions_ps/mean y
hivemetastore:API:GetPartitionsPsWithAuth:Mean hivemetastore/get_partitions_ps_with_auth/mean y

Medidas métricas do Hive Metastore

Medida estatística Exemplo de métrica Exemplo de nome de métrica
Máx. hivemetastore:API:GetDatabase:Max hivemetastore/get_database/max
Mín. hivemetastore:API:GetDatabase:Min hivemetastore/get_database/min
Média hivemetastore:API:GetDatabase:Mean hivemetastore/get_database/mean
Contagem hivemetastore:API:GetDatabase:Count hivemetastore/get_database/count
50o percentil hivemetastore:API:GetDatabase:50thPercentile hivemetastore/get_database/median
75o percentil hivemetastore:API:GetDatabase:75thPercentile hivemetastore/get_database/75th_percentile
95o percentil hivemetastore:API:GetDatabase:95thPercentile hivemetastore/get_database/95th_percentile
98o percentil hivemetastore:API:GetDatabase:98thPercentile hivemetastore/get_database/98th_percentile
99o percentil hivemetastore:API:GetDatabase:99thPercentile hivemetastore/get_database/99th_percentile
999o percentil hivemetastore:API:GetDatabase:999thPercentile hivemetastore/get_database/999o_percentile
StdDev hivemetastore:API:GetDatabase:StdDev hivemetastore/get_database/stddev
FifteenMinuteRate hivemetastore:API:GetDatabase:FifteenMinuteRate hivemetastore/get_database/15min_rate
FiveMinuteRate hivemetastore:API:GetDatabase:FiveMinuteRate hivemetastore/get_database/5min_rate
OneMinuteRate hivemetastore:API:GetDatabase:OneMinuteRate hivemetastore/get_database/1min_rate
MeanRate hivemetastore:API:GetDatabase:MeanRate hivemetastore/get_database/mean_rate

Métricas do agente de monitoramento do Dataproc

O Dataproc coleta as seguintes métricas do agente de monitoramento do Dataproc quando você define --metric-sources=monitoring-agent-defaults. Essas métricas são publicadas com o prefixo agent.googleapis.com.

CPU
agent.googleapis.com/cpu/load_15m
agent.googleapis.com/cpu/load_1m
agent.googleapis.com/cpu/load_5m
agent.googleapis.com/cpu/usage_time*
agent.googleapis.com/cpu/utilization*

Disco
agent.googleapis.com/disk/bytes_used
agent.googleapis.com/disk/io_time
agent.googleapis.com/disk/merged_operations
agent.googleapis.com/disk/operation_count
agent.googleapis.com/disk/operation_time
agent.googleapis.comdisk/disk/pending_operations
agent.googleapis.com/readagent/percent_used

Troca
agent.googleapis.com/swap/bytes_used
agent.googleapis.com/swap/io
agent.googleapis.com/swap/percent_used

Memória
agent.googleapis.com/memory/bytes_used
agent.googleapis.com/memory/percent_used

Processos - (segue uma política de cota ligeiramente diferente para alguns atributos)
agent.googleapis.com/processes/count_by_state
agent.googleapis.com/processes/cpu_time
agent.googleapis.com/processes/disk/read_bytes_count
agent.googleapis.com/processes/disk/write_bytes_count
agent.googleapis.com/processes/forkcounts

Interface
agent.googleapis.com/interface/errors
agent.googleapis.com/interface/packets
agent.googleapis.com/interface/traffic

Rede
agent.googleapis.com/network/tcp_connections

Criar um painel do Monitoring

É possível criar um painel do Monitoring com gráficos de métricas selecionadas do Dataproc.

  1. Selecione + CREATE DASHBOARD na página Dashboards Overview do Monitoring. Forneça um nome para o painel e clique em Add Chart no menu superior direito para abrir a janela Add Chart. Selecione “Cloud Dataproc Cluster” como o tipo de recurso. Selecione uma ou mais métricas e propriedades para métricas e gráficos. Em seguida, salve o gráfico.

  2. É possível adicionar gráficos ao seu painel. Depois que você salvar o painel, seu título aparecerá na página Dashboards Overview do Monitoring. Os gráficos do painel podem ser exibidos, atualizados e excluídos a partir da página de exibição do painel.

A seguir