90 lines
5.1 KiB
YAML
90 lines
5.1 KiB
YAML
# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This will parse a textual representation of a duration. The formats
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# accepted are based on the ISO-8601 duration format {@code PnDTnHnMn.nS}
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# with days considered to be exactly 24 hours.
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# <p>
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# Examples:
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# <pre>
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# "PT20.345S" -- parses as "20.345 seconds"
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# "PT15M" -- parses as "15 minutes" (where a minute is 60 seconds)
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# "PT10H" -- parses as "10 hours" (where an hour is 3600 seconds)
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# "P2D" -- parses as "2 days" (where a day is 24 hours or 86400 seconds)
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# "P2DT3H4M" -- parses as "2 days, 3 hours and 4 minutes"
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# "P-6H3M" -- parses as "-6 hours and +3 minutes"
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# "-P6H3M" -- parses as "-6 hours and -3 minutes"
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# "-P-6H+3M" -- parses as "+6 hours and -3 minutes"
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# </pre>
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filter: "{ tags -> tags.job_name == 'flink-taskManager-monitoring' }" # The OpenTelemetry job name
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expSuffix: tag({tags -> tags.cluster = 'flink::' + tags.cluster}).instance(['cluster'], ['taskManager_node'], Layer.FLINK)
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metricPrefix: meter_flink_taskManager
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metricsRules:
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# jvm
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- name: jvm_cpu_load
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exp: flink_taskmanager_Status_JVM_CPU_Load.sum(['cluster','taskManager_node'])*1000
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- name: jvm_cpu_time
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exp: flink_taskmanager_Status_JVM_CPU_Time.sum(['cluster','taskManager_node']).increase('PT1M')
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- name: jvm_memory_heap_used
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exp: flink_taskmanager_Status_JVM_Memory_Heap_Used.sum(['cluster','taskManager_node'])
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- name: jvm_memory_heap_available
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exp: flink_taskmanager_Status_JVM_Memory_Heap_Max.sum(['cluster','taskManager_node'])-flink_taskmanager_Status_JVM_Memory_Heap_Used.sum(['cluster','taskManager_node'])
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- name: jvm_thread_count
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exp: flink_taskmanager_Status_JVM_Threads_Count.sum(['cluster','taskManager_node'])
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- name: jvm_memory_metaspace_available
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exp: flink_taskmanager_Status_JVM_Memory_Metaspace_Max.sum(['cluster','taskManager_node'])-flink_taskmanager_Status_JVM_Memory_Metaspace_Used.sum(['cluster','taskManager_node'])
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- name: jvm_memory_metaspace_used
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exp: flink_taskmanager_Status_JVM_Memory_Metaspace_Used.sum(['cluster','taskManager_node'])
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- name: jvm_memory_nonHeap_used
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exp: flink_taskmanager_Status_JVM_Memory_NonHeap_Used.sum(['cluster','taskManager_node'])
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- name: jvm_memory_nonHeap_available
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exp: flink_taskmanager_Status_JVM_Memory_NonHeap_Max.sum(['cluster','taskManager_node'])-flink_taskmanager_Status_JVM_Memory_NonHeap_Used.sum(['cluster','taskManager_node'])
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# # records
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- name: numRecordsIn
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exp: flink_taskmanager_job_task_numRecordsIn.sum(['cluster','taskManager_node','flink_job_name','task_name']).increase('PT1M')
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- name: numRecordsOut
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exp: flink_taskmanager_job_task_numRecordsOut.sum(['cluster','taskManager_node','flink_job_name','task_name']).increase('PT1M')
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- name: numBytesInPerSecond
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exp: flink_taskmanager_job_task_numBytesInPerSecond.sum(['cluster','taskManager_node','flink_job_name','task_name'])
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- name: numBytesOutPerSecond
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exp: flink_taskmanager_job_task_numBytesOutPerSecond.sum(['cluster','taskManager_node','flink_job_name','task_name'])
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#
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# # network
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- name: netty_usedMemory
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exp: flink_taskmanager_Status_Shuffle_Netty_UsedMemory.sum(['cluster','taskManager_node'])
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- name: netty_availableMemory
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exp: flink_taskmanager_Status_Shuffle_Netty_AvailableMemory.sum(['cluster','taskManager_node'])
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- name: inPoolUsage
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exp: flink_taskmanager_job_task_Shuffle_Netty_Input_Buffers_inPoolUsage.sum(['cluster','taskManager_node','flink_job_name','task_name'])*100
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- name: outPoolUsage
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exp: flink_taskmanager_job_task_Shuffle_Netty_Output_Buffers_outPoolUsage.sum(['cluster','taskManager_node','flink_job_name','task_name'])*100
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# backPressured
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- name: isBackPressured
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exp: flink_taskmanager_job_task_isBackPressured.sum(['cluster','taskManager_node','flink_job_name','task_name'])
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- name: idleTimeMsPerSecond
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exp: flink_taskmanager_job_task_idleTimeMsPerSecond.sum(['cluster','taskManager_node','flink_job_name','task_name'])
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- name: busyTimeMsPerSecond
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exp: flink_taskmanager_job_task_busyTimeMsPerSecond.sum(['cluster','taskManager_node','flink_job_name','task_name'])
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- name: softBackPressuredTimeMsPerSecond
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exp: flink_taskmanager_job_task_softBackPressuredTimeMsPerSecond.sum(['cluster','taskManager_node','flink_job_name','task_name'])
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- name: hardBackPressuredTimeMsPerSecond
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exp: flink_taskmanager_job_task_hardBackPressuredTimeMsPerSecond.sum(['cluster','taskManager_node','flink_job_name','task_name'])
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