This section documents the mapping between the metrics provided by Telemetry Providers and the Akamas metrics for each supported component type.
Telemetry Provider | Telemetry Provider metric mapping |
---|---|
no predefined mapping as CSV provider is extensible
users
The average number of users active in a specific timeframe.
transactions_throughput
The average throughput of LoadRunner transaction (requests), per second
transactions_response_time_min
The min response time of LoadRunner transaction (requests)
transactions_response_time_max
The max response time of LoadRunner transaction (requests)
transactions_response_time
The response time of LoadRunner transaction (requests)
transactions_response_time_p50
The 50th percentile (weighted median) of the response time of LoadRunner transaction (requests)
transactions_response_time_p85
The 85th percentile of the response time of LoadRunner transaction (requests)
transactions_response_time_p95
The 95th percentile of the response time of LoadRunner transaction (requests)
transactions_response_time_p99
The 99th percentile of the response time of LoadRunner transaction (requests)
pages_throughput
The average throughput of LoadRunner pages (transactions breakdown, second level) , per second
pages_response_time_min
The min response time of LoadRunner pages (transactions breakdown, second level)
pages_response_time_max
The max response time of LoadRunner pages (transactions breakdown, second level)
pages_response_time
The response time of LoadRunner pages (transactions breakdown, second level)
pages_response_time_p50
The 50th percentile (weighted median) of the response time of LoadRunner requests
pages_response_time_p85
The 85th percentile of the response time of LoadRunner transaction breakdown, first level (pages)
pages_response_time_p95
The 95th percentile of the response time of LoadRunner transaction breakdown, first level (pages)
pages_response_time_p99
The 99th percentile of the response time of LoadRunner transaction breakdown, first level (pages)
requests_throughput
The average throughput of LoadRunner requests, per second
requests_response_time_min
The min response time of LoadRunner requests
requests_response_time_max
The max response time of LoadRunner requests
requests_response_time
The response time of LoadRunner requests
requests_response_time_p50
The 50th percentile (weighted median) of the response time of LoadRunner requests
requests_response_time_p85
The 85th percentile of the response time of LoadRunner transaction breakdown, second level (requests)
requests_response_time_p95
The 95th percentile of the response time of LoadRunner transaction breakdown, second level (requests)
requests_response_time_p99
The 99th percentile of the response time of LoadRunner transaction breakdown, second level (requests)
requests_error_throughput
The number of requests (transactions breakdown, first level) flagged as error by LoadRunner, per second
transactions_response_time
transactions
AVG_DURATION
pages_response_time
pages
AVG_DURATION
requests_response_time
requests
AVG_DURATION
transactions_response_time_min
transactions
MIN_DURATION
pages_response_time_min
pages
MIN_DURATION
requests_response_time_min
requests
MIN_DURATION
transactions_response_time_max
transactions
MAX_DURATION
pages_response_time_max
pages
MAX_DURATION
requests_response_time_max
requests
MAX_DURATION
transactions_throughput
transactions
THROUGHPUT
pages_throughput
pages
THROUGHPUT
requests_throughput
requests
THROUGHPUT
transactions_error_rate
transactions
ERROR_RATE
pages_error_rate
pages
ERROR_RATE
requests_error_rate
requests
ERROR_RATE
transactions_error_throughput
transactions
ERRORS_PER_SECOND
pages_error_throughput
pages
ERRORS_PER_SECOND
requests_error_throughput
requests
ERRORS_PER_SECOND
users
Controller/User Load
AVG
This page describes the mapping between metrics provided by Prometheus to Akamas metrics for each supported component type
Component Type | Notes |
---|
Component metric | Prometheus query |
---|
The following metrics are configured to work for Kubernetes. When using the Docker optimization pack, override the required metrics in the telemetry instance configuration.
Component metric | Prometheus query |
---|
Component metric | Prometheus query |
---|
Component metric | Prometheus metric |
---|
Component metric | Prometheus query |
---|
Component metric | Prometheus query |
---|
Component metric | Prometheus query |
---|
Component metric | Prometheus query |
---|
Component metric | Dynatrace metric | Scale | Aggregate multiple Dynatrace entities | Multiple entitites aggregation |
---|
Component metric | Dynatrace metric | Default Value | Scale |
---|
Component Metric | Dynatrace Metric | Scale | Aggregate multiple Dynatrace entities | Multiple entitites aggregation |
---|
Component Metric | Dynatrace Metric | Default Value | Aggregate multiple Dynatrace entities | Multiple entitites aggregation |
---|
Component Metric | Dynatrace Metric | Scale | Aggregate multiple Dynatrace entities | Multiple entitites aggregation |
---|
jvm_heap_size | avg(jvm_memory_bytes_max{area="heap" %FILTERS%}) |
jvm_heap_committed | avg(jvm_memory_bytes_committed{area="heap" %FILTERS%}) |
jvm_heap_used | avg(jvm_memory_bytes_used{area="heap" %FILTERS%}) |
jvm_off_heap_used | avg(jvm_memory_bytes_used{area="nonheap" %FILTERS%}) |
jvm_heap_util | avg(jvm_memory_bytes_used{area="heap" %FILTERS%} / jvm_memory_bytes_max{area="heap" %FILTERS%}) |
jvm_memory_used | avg(sum by (instance) (jvm_memory_bytes_used)) |
jvm_heap_young_gen_size | avg(sum by (instance) (jvm_memory_pool_bytes_max{pool=~".*Eden Space|.*Survivor Space" %FILTERS%})) |
jvm_heap_young_gen_used | avg(sum by (instance) (jvm_memory_pool_bytes_used{pool=~".*Eden Space|.*Survivor Space" %FILTERS%})) |
jvm_heap_old_gen_size | avg(sum by (instance) (jvm_memory_pool_bytes_max{pool=~".*Tenured Gen|.*Old Gen" %FILTERS%})) |
jvm_heap_old_gen_used | avg(sum by (instance) (jvm_memory_pool_bytes_used{pool=~".*Tenured Gen|.*Old Gen" %FILTERS%})) |
jvm_memory_buffer_pool_used | avg(sum by (instance) (jvm_buffer_pool_used_bytes)) |
jvm_gc_time | avg(sum by (instance) (rate(jvm_gc_collection_seconds_sum[$DURATION$]))) |
jvm_gc_count | avg(sum by (instance) (rate(jvm_gc_collection_seconds_count[$DURATION$]))) |
jvm_gc_duration | (sum(rate(jvm_gc_collection_seconds_sum[$DURATION$])) / sum(rate(jvm_gc_collection_seconds_count[$DURATION$])) > 0 ) or sum(rate(jvm_gc_collection_seconds_count[$DURATION$])) |
jvm_threads_current | avg(jvm_threads_current) |
jvm_threads_deadlocked | avg(jvm_threads_deadlocked) |
transactions_response_time | avg(rate(ResponseTime_sum{code="200", job=~"$JOB$" %FILTERS%}[$DURATION$])/rate(ResponseTime_count{code="200", job=~"$JOB$" %FILTERS%}[$DURATION$])>0) |
transactions_response_time_max | max(rate(ResponseTime_sum{code="200", job=~"$JOB$" %FILTERS%}[$DURATION$])/rate(ResponseTime_count{code="200", job=~"$JOB$" %FILTERS%}[$DURATION$])>0) |
transactions_response_time_min | min(rate(ResponseTime_sum{code="200", job=~"$JOB$" %FILTERS%}[$DURATION$])/rate(ResponseTime_count{code="200", job=~"$JOB$" %FILTERS%}[$DURATION$])>0) |
transactions_response_time_p50 | ResponseTime{quantile="0.5", code="200", job=~"$JOB$" %FILTERS%} |
transactions_response_time_p85 | ResponseTime{quantile="0.85", code="200", job=~"$JOB$" %FILTERS%} |
transactions_response_time_p90 | ResponseTime{quantile="0.9", code="200", job=~"$JOB$" %FILTERS%} |
transactions_response_time_p99 | ResponseTime{quantile="0.99", code="200", job=~"$JOB$" %FILTERS%} |
transactions_throughput | sum(rate(Ratio_success{job=~"$JOB$" %FILTERS%}[$DURATION$])) |
transactions_error_throughput | sum(rate(Ratio_failure{job=~"$JOB$" %FILTERS%}[$DURATION$])) |
transactions_error_rate | (avg(rate(Ratio_failure{job=~"$JOB$" %FILTERS%}[$DURATION$]))/avg(rate(Ratio_total{job=~"$JOB$" %FILTERS%}[$DURATION$])))*100 |
users | sum(jmeter_threads{state="active", job=~"$JOB$" %FILTERS%}) |
k8s_workload_desired_pods | kube_deployment_spec_replicas{namespace=~"$NAMESPACE$", deployment=~"$DEPLOYMENT$" %FILTERS%} |
k8s_workload_running_pods | kube_deployment_status_replicas_available{namespace=~"$NAMESPACE$", deployment=~"$DEPLOYMENT$" %FILTERS%} |
k8s_workload_ready_pods | kube_deployment_status_replicas_ready{namespace=~"$NAMESPACE$", deployment=~"$DEPLOYMENT$" %FILTERS%} |
k8s_workload_cpu_used | 1e3 * sum(rate(container_cpu_usage_seconds_total{container="", namespace=~"$NAMESPACE$", pod=~"$DEPLOYMENT$.*" %FILTERS%}[$DURATION$])) |
k8s_workload_memory_used | sum(last_over_time(container_memory_usage_bytes{container="", namespace=~"$NAMESPACE$", pod=~"$DEPLOYMENT$.*" %FILTERS%}[$DURATION$])) |
k8s_workload_cpu_request | 1e3 * sum(kube_pod_container_resource_requests{resource="cpu", namespace=~"$NAMESPACE$", pod=~"$DEPLOYMENT$.*" %FILTERS%}) |
k8s_workload_cpu_limit | 1e3 * sum(kube_pod_container_resource_limits{resource="cpu", namespace=~"$NAMESPACE$", pod=~"$DEPLOYMENT$.*" %FILTERS%}) |
k8s_workload_memory_request | sum(kube_pod_container_resource_requests{resource="memory", namespace=~"$NAMESPACE$", pod=~"$DEPLOYMENT$.*" %FILTERS%}) |
k8s_workload_memory_limit | sum(kube_pod_container_resource_limits{resource="memory", namespace=~"$NAMESPACE$", pod=~"$DEPLOYMENT$.*" %FILTERS%}) |
k8s_pod_cpu_used | 1e3 * avg(rate(container_cpu_usage_seconds_total{container="", namespace=~"$NAMESPACE$", pod=~"$POD$" %FILTERS%}[$DURATION$])) |
k8s_pod_cpu_request | 1e3 * avg(sum by (pod) (kube_pod_container_resource_requests{resource="cpu", namespace=~"$NAMESPACE$", pod=~"$POD$" %FILTERS%})) |
k8s_pod_cpu_limit | 1e3 * avg(sum by (pod) (kube_pod_container_resource_limits{resource="cpu", namespace=~"$NAMESPACE$", pod=~"$POD$" %FILTERS%})) |
k8s_pod_memory_used | avg(last_over_time(container_memory_usage_bytes{container="", namespace=~"$NAMESPACE$", pod=~"$POD$" %FILTERS%}[$DURATION$])) |
k8s_pod_memory_working_set | avg(container_memory_working_set_bytes{container="", namespace=~"$NAMESPACE$", pod=~"$POD$" %FILTERS%}) |
k8s_pod_memory_request | avg(sum by (pod) (kube_pod_container_resource_requests{resource="memory", namespace=~"$NAMESPACE$", pod=~"$POD$" %FILTERS%})) |
k8s_pod_memory_limit | avg(sum by (pod) (kube_pod_container_resource_limits{resource="memory", namespace=~"$NAMESPACE$", pod=~"$POD$" %FILTERS%})) |
k8s_pod_restarts | avg(sum by (pod) (increase(kube_pod_container_status_restarts_total{namespace=~"$NAMESPACE$", pod=~"$POD$" %FILTERS%}[$DURATION$]))) |
container_cpu_used | 1e3 * avg(rate(container_cpu_usage_seconds_total{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}[$DURATION$])) |
container_cpu_used_max | 1e3 * max(rate(container_cpu_usage_seconds_total{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}[$DURATION$])) |
container_cpu_util | avg(rate(container_cpu_usage_seconds_total{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}[$DURATION$]) / on (pod) group_left kube_pod_container_resource_limits{resource="cpu", namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}) |
container_cpu_util_max | max(rate(container_cpu_usage_seconds_total{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}[$DURATION$]) / on (pod) group_left kube_pod_container_resource_limits{resource="cpu", namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}) |
container_cpu_throttled_millicores | 1e3 * avg(rate(container_cpu_cfs_throttled_seconds_total{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}[$DURATION$])) |
container_cpu_throttle_time | avg(last_over_time(container_cpu_cfs_throttled_periods_total{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}[$DURATION$]) / container_cpu_cfs_periods_total{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}) |
container_memory_used | avg(last_over_time(container_memory_working_set_bytes{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}[$DURATION$])) |
container_memory_used_max | max(last_over_time(container_memory_working_set_bytes{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}[$DURATION$])) |
container_memory_util | avg(last_over_time(container_memory_working_set_bytes{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}[$DURATION$]) / on (pod) group_left kube_pod_container_resource_limits{resource="memory", namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}) |
container_memory_util_max | max(last_over_time(container_memory_working_set_bytes{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}[$DURATION$]) / on (pod) group_left kube_pod_container_resource_limits{resource="memory", namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}) |
container_memory_resident_set_used | avg(last_over_time(container_memory_rss{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}[$DURATION$])) |
container_memory_cache | avg(last_over_time(container_memory_cache{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}[$DURATION$])) |
container_cpu_request | 1e3 * avg(kube_pod_container_resource_requests{resource="cpu", namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}) |
container_cpu_limit | 1e3 * avg(kube_pod_container_resource_limits{resource="cpu", namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}) |
container_memory_request | avg(kube_pod_container_resource_requests{resource="memory", namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}) |
container_memory_limit | avg(kube_pod_container_resource_limits{resource="memory", namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}) |
container_restarts | avg(increase(kube_pod_container_status_restarts_total{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}[$DURATION$])) |
container_oom_kills_count | avg(increase(container_oom_events_total{namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%}[$DURATION$])) |
cost | sum(kube_pod_container_resource_requests{resource="cpu", namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%})*29 + sum(kube_pod_container_resource_requests{resource="memory", namespace=~"$NAMESPACE$", pod=~"$POD$", container=~"$CONTAINER$" %FILTERS%})/1024/1024/1024*8 |
cpu_util | aws_resource_info{instance='$INSTANCE$', job='$JOB$' %FILTERS%} * on(instance_id) group_left() aws_ec2_cpuutilization_average{job='$JOB$'}/100 |
network_in_bytes_details | aws_resource_info{instance='$INSTANCE$', job='$JOB$' %FILTERS%} * on(instance_id) group_left() (aws_ec2_network_in_sum{job='$JOB$'} * count_over_time(aws_ec2_network_in_sum{job='$JOB$'}[300s]) / 300) |
network_out_bytes_details | aws_resource_info{instance='$INSTANCE$', job='$JOB$' %FILTERS%} * on(instance_id) group_left() (aws_ec2_network_out_sum{job='$JOB$'} * count_over_time(aws_ec2_network_out_sum{job='$JOB$'}[300s]) / 300) |
aws_ec2_credits_cpu_available | aws_resource_info{instance='$INSTANCE$', job='$JOB$' %FILTERS%} * on(instance_id) group_left() aws_ec2_cpucredit_balance_average{job='$JOB$'} |
aws_ec2_credits_cpu_used | aws_resource_info{instance='$INSTANCE$', job='$JOB$' %FILTERS%} * on(instance_id) group_left() aws_ec2_cpucredit_usage_sum{job='$JOB$'} |
disk_read_bytes | aws_resource_info{instance='$INSTANCE$', job='$JOB$' %FILTERS%} * on(instance_id) group_left() (aws_ec2_ebsread_bytes_sum{job='$JOB$'} * count_over_time(aws_ec2_ebsread_bytes_sum{job='$JOB$'}[300s]) / 300) |
disk_write_bytes | aws_resource_info{instance='$INSTANCE$', job='$JOB$' %FILTERS%} * on(instance_id) group_left() (aws_ec2_ebswrite_bytes_sum{job='$JOB$'} * count_over_time(aws_ec2_ebswrite_bytes_sum{job='$JOB$'}[300s]) / 300) |
aws_ec2_disk_iops | aws_resource_info{instance='$INSTANCE$', job='$JOB$' %FILTERS%} * on(instance_id) group_left() ((aws_ec2_ebsread_ops_sum{job='$JOB$'} + aws_ec2_ebswrite_ops_sum{job='$JOB$'}) * count_over_time(aws_ec2_ebsread_ops_sum{job='$JOB$'}[300s])/300) |
aws_ec2_disk_iops_reads | aws_resource_info{instance='$INSTANCE$', job='$JOB$' %FILTERS%} * on(instance_id) group_left() (aws_ec2_ebsread_ops_sum{job='$JOB$'} * count_over_time(aws_ec2_ebsread_ops_sum{job='$JOB$'}[300s]) / 300) |
aws_ec2_disk_iops_writes | aws_resource_info{instance='$INSTANCE$', job='$JOB$' %FILTERS%} * on(instance_id) group_left() (aws_ec2_ebswrite_ops_sum{job='$JOB$'} * count_over_time(aws_ec2_ebswrite_ops_sum{job='$JOB$'}[300s]) / 300) |
aws_ec2_ebs_credits_io_util | aws_resource_info{instance='$INSTANCE$', job='$JOB$' %FILTERS%} * on(instance_id) group_left() aws_ec2_ebsiobalance__average{job='$JOB$'} / 100 |
aws_ec2_ebs_credits_bytes_util | aws_resource_info{instance='$INSTANCE$', job='$JOB$' %FILTERS%} * on(instance_id) group_left() aws_ec2_ebsbyte_balance__average{job='$JOB$'} / 100 |
oracle_sga_total_size | oracledb_memory_size{component='SGA Target', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_sga_free_size | oracledb_memory_size{component='Free SGA Memory Available', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_sga_max_size | oracledb_memory_size{component='Maximum SGA Size', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_pga_target_size | oracledb_memory_size{component='PGA Target', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_redo_buffers_size | oracledb_memory_size{component='Redo Buffers', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_default_buffer_cache_size | oracledb_memory_size{component='DEFAULT buffer cache', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_default_2k_buffer_cache_size | oracledb_memory_size{component='DEFAULT 2K buffer cache', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_default_4k_buffer_cache_size | oracledb_memory_size{component='DEFAULT 4K buffer cache', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_default_8k_buffer_cache_size | oracledb_memory_size{component='DEFULT 8K buffer cache', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_default_16k_buffer_cache_size | oracledb_memory_size{component='DEFAULT 16K buffer cache', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_default_32k_buffer_cache_size | oracledb_memory_size{component='DEFAULT 32K buffer cache', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_keep_buffer_cache_size | oracledb_memory_size{component='KEEP buffer cache', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_recycle_buffer_cache_size | oracledb_memory_size{component='RECYCLE buffer cache', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_asm_buffer_cache_size | oracledb_memory_size{component='ASM Buffer Cache', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_shared_io_pool_size | oracledb_memory_size{component='Shared IO Pool', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_java_pool_size | oracledb_memory_size{component='java pool', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_large_pool_size | oracledb_memory_size{component='large pool', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_shared_pool_size | oracledb_memory_size{component='shared pool', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_streams_pool_size | oracledb_memory_size{component='streams pool', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_sessions_active_user | oracledb_sessions_value{type='USER', status='ACTIVE', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_sessions_inactive_user | oracledb_sessions_value{type='USER', status='INACTIVE', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_sessions_active_background | oracledb_sessions_value{type='BACKGROUND', status='ACTIVE', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_sessions_inactive_background | oracledb_sessions_value{type='BACKGROUND', status='INACTIVE', instance='$INSTANCE$', job='$JOB$' %FILTERS%} |
oracle_buffer_cache_hit_ratio | ttps://docs.oracle.com/database/121/TGDBA/tune_buffer_cache.htm#TGDBA533 |
oracle_redo_log_space_requests | rate(oracledb_activity_redo_log_space_requests{instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$]) |
oracle_wait_event_log_file_sync | rate(oracledb_system_event_time_waited{event='log file sync', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_event_log_file_parallel_write | rate(oracledb_system_event_time_waited{event='log file sequential read', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_event_log_file_sequential_read | rate(oracledb_system_event_time_waited{event='log file parallel write', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_event_enq_tx_contention | rate(oracledb_system_event_time_waited{event='enq: TX - contention', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_event_enq_tx_row_lock_contention | rate(oracledb_system_event_time_waited{event='enq: TX - row lock contention', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_event_latch_row_cache_objects | rate(oracledb_system_event_time_waited{event='latch: row cache objects', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_event_latch_shared_pool | rate(oracledb_system_event_time_waited{event='latch: shared pool', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_event_resmgr_cpu_quantum | rate(oracledb_system_event_time_waited{event='resmgr:cpu quantum', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_event_sql_net_message_from_client | rate(oracledb_system_event_time_waited{event='SQL*Net message from client', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_event_rdbms_ipc_message | rate(oracledb_system_event_time_waited{event='rdbms ipc message', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_event_db_file_sequential_read | rate(oracledb_system_event_time_waited{event='db file sequential read', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_event_log_file_switch_checkpoint_incomplete | rate(oracledb_system_event_time_waited{event='log file switch (checkpoint incomplete)', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_event_row_cache_lock | rate(oracledb_system_event_time_waited{event='row cache lock', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_event_buffer_busy_waits | rate(oracledb_system_event_time_waited{event='buffer busy waits', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_event_db_file_async_io_submit | rate(oracledb_system_event_time_waited{event='db file async I/O submit', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$])/100 |
oracle_wait_class_commit | sum without(event) (rate(oracledb_system_event_time_waited{wait_class='Commit', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$]))/100 |
oracle_wait_class_concurrency | sum without(event) (rate(oracledb_system_event_time_waited{wait_class='Concurrency', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$]))/100 |
oracle_wait_class_system_io | sum without(event) (rate(oracledb_system_event_time_waited{wait_class='System I/O', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$]))/100 |
oracle_wait_class_user_io | sum without(event) (rate(oracledb_system_event_time_waited{wait_class='User I/O', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$]))/100 |
oracle_wait_class_other | sum without(event) (rate(oracledb_system_event_time_waited{wait_class='Other', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$]))/100 |
oracle_wait_class_scheduler | sum without(event) (rate(oracledb_system_event_time_waited{wait_class='Scheduler', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$]))/100 |
oracle_wait_class_idle | sum without(event) (rate(oracledb_system_event_time_waited{wait_class='Idle', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$]))/100 |
oracle_wait_class_application | sum without(event) (rate(oracledb_system_event_time_waited{wait_class='Application', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$]))/100 |
oracle_wait_class_network | sum without(event) (rate(oracledb_system_event_time_waited{wait_class='Network', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$]))/100 |
oracle_wait_class_configuration | sum without(event) (rate(oracledb_system_event_time_waited{wait_class='Configuration', instance='$INSTANCE$', job='$JOB$' %FILTERS%}[$DURATION$]))/100 |
transactions_response_time | avg(rate(ResponseTime_sum{code="200", job=~"$JOB$" %FILTERS%}[$DURATION$])/rate(ResponseTime_count{code="200", job=~"$JOB$" %FILTERS%}[$DURATION$])>0) |
transactions_response_time_max | max(rate(ResponseTime_sum{code="200", job=~"$JOB$" %FILTERS%}[$DURATION$])/rate(ResponseTime_count{code="200", job=~"$JOB$" %FILTERS%}[$DURATION$])>0) |
transactions_response_time_min | min(rate(ResponseTime_sum{code="200", job=~"$JOB$" %FILTERS%}[$DURATION$])/rate(ResponseTime_count{code="200", job=~"$JOB$" %FILTERS%}[$DURATION$])>0) |
transactions_response_time_p50 | ResponseTime{quantile="0.5", code="200", job=~"$JOB$" %FILTERS%} |
transactions_response_time_p85 | ResponseTime{quantile="0.85", code="200", job=~"$JOB$" %FILTERS%} |
transactions_response_time_p90 | ResponseTime{quantile="0.9", code="200", job=~"$JOB$" %FILTERS%} |
transactions_response_time_p99 | ResponseTime{quantile="0.99", code="200", job=~"$JOB$" %FILTERS%} |
transactions_throughput | sum(rate(Ratio_success{job=~"$JOB$" %FILTERS%}[$DURATION$])) |
transactions_error_throughput | sum(rate(Ratio_failure{job=~"$JOB$" %FILTERS%}[$DURATION$])) |
transactions_error_rate | (avg(rate(Ratio_failure{job=~"$JOB$" %FILTERS%}[$DURATION$]))/avg(rate(Ratio_total{job=~"$JOB$" %FILTERS%}[$DURATION$])))*100 |
users | sum(jmeter_threads{state="active", job=~"$JOB$" %FILTERS%}) |
requests_response_time |
| 0 | 0.000001 |
requests_response_time_min |
| 0 | 0.000001 |
requests_response_time_max |
| 0 | 0.000001 |
requests_throughput |
| 0 | 1/60 |
requests_error_rate |
| 0 | 0.01 |
requests_response_time_p50 |
| 0 | 0.001 |
requests_response_time_p85 |
| 0 | 0.001 |
requests_response_time_p90 |
| 0 | 0.001 |
requests_response_time_p95 |
| 0 | 0.001 |
requests_response_time_p99 |
| 0 | 0.001 |
container_cpu_limit |
| Yes | avg |
container_cpu_util |
| 0.01 | Yes | avg |
container_cpu_util_max |
| 0.01 | Yes | max |
container_cpu_throttled_millicores |
| Yes | avg |
container_cpu_throttle_time |
| 1 / 10^9 / 60 | Yes | avg |
container_cpu_used |
| Yes | avg |
container_cpu_used_max |
| Yes | max |
container_memory_limit |
| Yes | avg |
container_memory_used |
| Yes | avg |
container_memory_used_max |
| Yes | max |
container_memory_util |
| 0.01 | Yes | avg |
container_memory_util_max |
| 0.01 | Yes | max |
container_oom_kills_count |
| 1/60 | Yes | avg |
k8s_pod_cpu_limit |
| Yes | avg |
k8s_pod_cpu_request |
| Yes | avg |
k8s_pod_memory_limit |
| Yes | avg |
k8s_pod_memory_request |
| Yes | avg |
k8s_pod_restarts |
| 0 | Yes | avg |
k8s_workload_desired_pods |
| No |
k8s_workload_running_pods |
| No |
k8s_workload_cpu_limit |
| No |
k8s_workload_cpu_request |
| No |
k8s_workload_memory_limit |
| No |
k8s_workload_memory_request |
| No |
k8s_workload_cpu_used |
| Yes | sum |
k8s_workload_memory_used |
| Yes | sum |
cpu_load_avg | node_load1{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} |
cpu_num | count(node_cpu_seconds_total{instance=~"$INSTANCE$", job=~"$JOB$", mode="system" %FILTERS%}) |
cpu_used | sum by (job) (sum by (cpu, job) (rate(node_cpu_seconds_total{instance=~"$INSTANCE$", mode=~"user|system|softirq|irq|nice", job=~"$JOB$" %FILTERS%}[$DURATION$]))) |
cpu_util | avg by (job) (sum by (cpu, job) (rate(node_cpu_seconds_total{instance=~"$INSTANCE$", mode=~"user|system|softirq|irq|nice", job=~"$JOB$" %FILTERS%}[$DURATION$]))) |
cpu_util_details | avg by (instance, cpu, mode, job) (sum by (instance, cpu, mode, job) (rate(node_cpu_seconds_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]))) |
disk_io_inflight_details | node_disk_io_now{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} |
disk_iops | sum by (instance, job) (rate(node_disk_writes_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) + sum by (instance, job) (rate(node_disk_reads_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) |
disk_iops_details | sum by (instance, device, job) (rate(node_disk_writes_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) |
disk_iops_details | sum by (instance, device, job) (rate(node_disk_reads_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) |
disk_iops_details | sum by (instance, device, job) (rate(node_disk_writes_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) + sum by (instance, device, job) (rate(node_disk_reads_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) |
disk_iops_reads | sum by (instance, job) (rate(node_disk_reads_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) |
disk_iops_writes | sum by (instance, job) (rate(node_disk_writes_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) |
disk_read_bytes | sum by (instance, device, job) (rate(node_disk_read_bytes_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) |
disk_read_bytes_details | sum by (instance, device, job) (rate(node_disk_read_bytes_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) |
disk_read_write_bytes | sum by (instance, device, job) (rate(node_disk_written_bytes_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) + rate(node_disk_read_bytes_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) |
disk_response_time | avg by (instance, job) ((rate(node_disk_read_time_seconds_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) + rate(node_disk_write_time_seconds_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) / (rate(node_disk_reads_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) + rate(node_disk_writes_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) > 0 )) |
disk_response_time_details | avg by (instance, device, job) ((rate(node_disk_read_time_seconds_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) + rate(node_disk_write_time_seconds_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) / ((rate(node_disk_reads_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) + rate(node_disk_writes_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) > 0)) |
disk_response_time_read | rate(node_disk_read_time_seconds_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])/ rate(node_disk_reads_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) |
disk_response_time_worst | max by (instance, job) ((rate(node_disk_read_time_seconds_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) + rate(node_disk_write_time_seconds_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) / (rate(node_disk_reads_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) + rate(node_disk_writes_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) > 0 )) |
disk_response_time_write | rate(node_disk_write_time_seconds_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])/ rate(node_disk_writes_completed_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) |
disk_swap_used | node_memory_SwapTotal_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} - node_memory_SwapFree_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} |
disk_swap_util | ((node_memory_SwapTotal_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} - node_memory_SwapFree_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}) / (node_memory_SwapTotal_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} > 0)) or ((node_memory_SwapTotal_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} - node_memory_SwapFree_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%})) |
disk_util_details | rate(node_disk_io_time_seconds_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) |
disk_write_bytes | sum by (instance, device, job) (rate(node_disk_written_bytes_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) |
disk_write_bytes_details | sum by (instance, device, job) (rate(node_disk_written_bytes_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$])) |
filesystem_size | node_filesystem_size_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} |
filesystem_used | node_filesystem_size_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} - node_filesystem_free_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} |
filesystem_util | ((node_filesystem_size_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} - node_filesystem_free_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}) / node_filesystem_size_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}) |
mem_fault_major | rate(node_vmstat_pgmajfault{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) |
mem_fault_minor | rate(node_vmstat_pgfault{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) |
mem_swapins | rate(node_vmstat_pswpin{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) |
mem_swapouts | rate(node_vmstat_pswpout{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) |
mem_total | node_memory_MemTotal_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} |
mem_used | (node_memory_MemTotal_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} - node_memory_MemFree_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}) |
mem_util | (node_memory_MemTotal_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} - node_memory_MemFree_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}) / node_memory_MemTotal_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} |
mem_util_details | (node_memory_Active_file_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} / node_memory_MemTotal_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}) |
mem_util_details | (node_memory_Active_anon_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} / node_memory_MemTotal_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}) |
mem_util_details | (node_memory_Inactive_file_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} / node_memory_MemTotal_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}) |
mem_util_details | (node_memory_Inactive_anon_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} / node_memory_MemTotal_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}) |
mem_util_nocache | (node_memory_MemTotal_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} - node_memory_Buffers_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} - node_memory_Cached_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} - node_memory_MemFree_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}) / node_memory_MemTotal_bytes{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} |
network_in_bytes_details | rate(node_network_receive_bytes_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) |
network_out_bytes_details | rate(node_network_transmit_bytes_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) |
network_tcp_retrans | rate(node_netstat_Tcp_RetransSegs{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) |
os_context_switch | rate(node_context_switches_total{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%}[$DURATION$]) |
proc_blocked | node_procs_blocked{instance=~"$INSTANCE$", job=~"$JOB$" %FILTERS%} |
cpu_load_avg |
|
cpu_num | N/A |
cpu_util |
| 0.01 |
cpu_util_details | mode:
|
| 0.01 |
mem_util | N/A |
mem_util_nocache |
| 0.01 |
mem_util_details | N/A |
mem_used | N/A |
mem_used_nocache |
|
mem_total | N/A |
mem_fault |
|
mem_fault_minor | N/A |
mem_fault_major | N/A |
mem_swapins | N/A |
mem_swapouts | N/A |
disk_swap_util | N/A |
disk_swap_used | N/A |
filesystem_util |
|
|
filesystem_used | N/A |
filesystem_size | N/A |
disk_util_details |
|
| 0.01 |
disk_iops_writes | N/A |
disk_iops_reads | N/A |
disk_iops | N/A |
disk_iops_details | N/A |
disk_response_time_worst | N/A |
disk_response_time | N/A |
disk_io_inflight_details | N/A | 0.01 |
disk_write_bytes | N/A |
disk_read_bytes | N/A |
disk_read_write_bytes | N/A |
disk_write_bytes_details |
|
|
disk_read_bytes_details |
|
|
disk_response_time_details |
|
| 0.001 |
proc_blocked | N/A |
os_context_switch | N/A |
network_tcp_retrans | N/A |
network_in_bytes_details |
|
|
network_out_bytes_details |
|
|
jvm_gc_count |
| 1/60 | Yes | avg |
jvm_gc_time |
| 0.01 | Yes | avg |
jvm_heap_size |
| Yes | avg |
jvm_heap_committed | Yes | avg |
jvm_heap_used | Yes | avg |
jvm_off_heap_used | Yes | avg |
jvm_heap_old_gen_size | Yes | avg |
jvm_heap_old_gen_used | Yes | avg |
jvm_heap_young_gen_size | Yes | avg |
jvm_heap_young_gen_used | Yes | avg |
jvm_threads_current |
| Yes | avg |
The default metrics in this table are based on the and
The default metrics in this table are based on the and
The default metrics in this table are based on the , configured with the attached
The default metrics in this table are based on the , extending the default queries with the attached
The default metrics in this table are based on the
spark_duration
job
/{appId}/1/jobs/{jobId}
.duration
spark_completed_tasks
job
/{appId}/1/jobs/{jobId}
.numCompletedTasks
spark_active_tasks
job
/{appId}/1/jobs/{jobId}
.numActiveTasks
spark_skipped_tasks
job
/{appId}/1/jobs/{jobId}
.numSkippedTasks
spark_failed_tasks
job
/{appId}/1/jobs/{jobId}
.numFailedTasks
spark_killed_tasks
job
/{appId}/1/jobs/{jobId}
.numKilledTasks
spark_completed_stages
job
/{appId}/1/jobs/{jobId}
.numCompletedStages
spark_failed_stages
job
/{appId}/1/jobs/{jobId}
.numFailedStages
spark_skipped_stages
job
/{appId}/1/jobs/{jobId}
.numSkippedStages
spark_active_stages
job
/{appId}/1/jobs/{jobId}
.numActiveStages
spark_duration
stage
/{appId}/1/stages/{stageId}
.getDuration
spark_task_stage_executor_run_time
stage
/{appId}/1/stages/{stageId}
.getExecutorRunTime
spark_task_stage_executor_cpu_time
stage
/{appId}/1/stages/{stageId}
.getExecutorCpuTime
spark_active_tasks
stage
/{appId}/1/stages/{stageId}
.getNumActiveTasks
spark_completed_tasks
stage
/{appId}/1/stages/{stageId}
.getNumCompleteTasks
spark_failed_tasks
stage
/{appId}/1/stages/{stageId}
.getNumFailedTasks
spark_killed_tasks
stage
/{appId}/1/stages/{stageId}
.getNumKilledTasks
spark_task_stage_input_bytes_read
stage
/{appId}/1/stages/{stageId}
.getInputBytes
spark_task_stage_input_records_read
stage
/{appId}/1/stages/{stageId}
.getInputRecords
spark_task_stage_output_bytes_written
stage
/{appId}/1/stages/{stageId}
.getOutputBytes
spark_task_stage_output_records_written
stage
/{appId}/1/stages/{stageId}
.getOutputRecords
spark_stage_shuffle_read_bytes
stage
/{appId}/1/stages/{stageId}
.getShuffleReadBytes
spark_task_stage_shuffle_read_records
stage
/{appId}/1/stages/{stageId}
.getShuffleReadRecords
spark_task_stage_shuffle_write_bytes
stage
/{appId}/1/stages/{stageId}
.getShuffleWriteBytes
spark_task_stage_shuffle_write_records
stage
/{appId}/1/stages/{stageId}
.getShuffleWriteRecords
spark_task_stage_memory_bytes_spilled
stage
/{appId}/1/stages/{stageId}
.getMemoryBytesSpilled
spark_task_stage_disk_bytes_spilled
stage
/{appId}/1/stages/{stageId}
.getDiskBytesSpilled
spark_duration
task
/{appId}/1/stages/{stageId}
.tasks[].duration
spark_task_executor_deserialize_time
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.executorDeserializeTime
spark_task_executor_deserialize_cpu_time
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.executorDeserializeCpuTime
spark_task_stage_executor_run_time
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.executorRunTime
spark_task_stage_executor_cpu_time
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.executorCpuTime
spark_task_result_size
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.resultSize
spark_task_jvm_gc_duration
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.jvmGcTime
spark_task_result_serialization_time
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.resultSerializationTime
spark_task_stage_memory_bytes_spilled
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.memoryBytesSpilled
spark_task_stage_disk_bytes_spilled
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.diskBytesSpilled
spark_task_peak_execution_memory
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.peakExecutionMemory
spark_task_stage_input_bytes_read
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.inputMetrics.bytesRead
spark_task_stage_input_records_read
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.inputMetrics.recordsRead
spark_task_stage_output_bytes_written
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.outputMetrics.bytesWritten
spark_task_stage_output_records_written
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.outputMetrics.recordsWritten
spark_task_shuffle_read_remote_blocks_fetched
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.shuffleReadMetrics.remoteBlocksFetched
spark_task_shuffle_read_local_blocks_fetched
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.shuffleReadMetrics.localBlocksFetched
spark_task_shuffle_read_fetch_wait_time
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.shuffleReadMetrics.fetchWaitTime
spark_task_shuffle_read_remote_bytes
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.shuffleReadMetrics.remoteBytesRead
spark_task_shuffle_read_remote_bytes_to_disk
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.shuffleReadMetrics.remoteBytesReadToDisk
spark_task_shuffle_read_local_bytes
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.shuffleReadMetrics.localBytesRead
spark_task_stage_shuffle_read_records
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.shuffleReadMetrics.recordsRead
spark_task_stage_shuffle_write_bytes
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.shuffleWriteMetrics.bytesWritten
spark_task_shuffle_write_time
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.shuffleWriteMetrics.writeTime
spark_task_stage_shuffle_write_records
task
/{appId}/1/stages/{stageId}
.tasks[].taskMetrics.shuffleWriteMetrics.recordsWritten
spark_executor_rdd_blocks
executor
/{appId}/1/allexecutors
select(.id!='driver) | .rddBlocks
spark_executor_mem_used
executor
/{appId}/1/allexecutors
select(.id!='driver) | .memoryUsed
spark_executor_disk_used
executor
/{appId}/1/allexecutors
select(.id!='driver) | .diskUsed
spark_executor_cores
executor
/{appId}/1/allexecutors
select(.id!='driver) | .totalCores
spark_active_tasks
executor
/{appId}/1/allexecutors
select(.id!='driver) | .activeTasks
spark_failed_tasks
executor
/{appId}/1/allexecutors
select(.id!='driver) | .failedTasks
spark_completed_tasks
executor
/{appId}/1/allexecutors
select(.id!='driver) | .completedTasks
spark_executor_total_tasks
executor
/{appId}/1/allexecutors
select(.id!='driver) | .totalTasks
spark_executor_total_duration
executor
/{appId}/1/allexecutors
select(.id!='driver) | .totalDuration
spark_executor_total_jvm_gc_duration
executor
/{appId}/1/allexecutors
select(.id!='driver) | .totalGCTime
spark_executor_total_input_bytes
executor
/{appId}/1/allexecutors
select(.id!='driver) | .totalInputBytes
spark_executor_total_shuffle_read
executor
/{appId}/1/allexecutors
select(.id!='driver) | .totalShuffleRead
spark_executor_total_shuffle_write
executor
/{appId}/1/allexecutors
select(.id!='driver) | .totalShuffleWrite
spark_executor_max_mem_used
executor
/{appId}/1/allexecutors
select(.id!='driver) | .maxMemory
spark_executor_used_on_heap_storage_memory
executor
/{appId}/1/allexecutors
select(.id!='driver) | .memoryMetrics.usedOnHeapStorageMemory
spark_executor_used_off_heap_storage_memory
executor
/{appId}/1/allexecutors
select(.id!='driver) | .memoryMetrics.usedOffHeapStorageMemory
spark_executor_total_on_heap_storage_memory
executor
/{appId}/1/allexecutors
select(.id!='driver) | .memoryMetrics.totalOnHeapStorageMemory
spark_executor_total_off_heap_storage_memory
executor
/{appId}/1/allexecutors
select(.id!='driver) | .memoryMetrics.totalOffHeapStorageMemory
spark_driver_rdd_blocks
driver
/{appId}/1/allexecutors
select(.id=='driver') | .rddBlocks
spark_driver_mem_used
driver
/{appId}/1/allexecutors
select(.id=='driver') | .memoryUsed
spark_driver_disk_used
driver
/{appId}/1/allexecutors
select(.id=='driver') | .diskUsed
spark_driver_cores
driver
/{appId}/1/allexecutors
select(.id=='driver') | .totalCores
spark_driver_total_duration
driver
/{appId}/1/allexecutors
select(.id=='driver') | .totalDuration
spark_driver_total_jvm_gc_duration
driver
/{appId}/1/allexecutors
select(.id=='driver') | .totalGCTime
spark_driver_total_input_bytes
driver
/{appId}/1/allexecutors
select(.id=='driver') | .totalInputBytes
spark_driver_total_shuffle_read
driver
/{appId}/1/allexecutors
select(.id=='driver') | .totalShuffleRead
spark_driver_total_shuffle_write
driver
/{appId}/1/allexecutors
select(.id=='driver') | .totalShuffleWrite
spark_driver_max_mem_used
driver
/{appId}/1/allexecutors
select(.id=='driver') | .maxMemory
spark_driver_used_on_heap_storage_memory
driver
/{appId}/1/allexecutors
select(.id=='driver') | .memoryMetrics.usedOnHeapStorageMemory
spark_driver_used_off_heap_storage_memory
driver
/{appId}/1/allexecutors
select(.id=='driver') | .memoryMetrics.usedOffHeapStorageMemory
spark_driver_total_on_heap_storage_memory
driver
/{appId}/1/allexecutors
select(.id=='driver') | .memoryMetrics.totalOnHeapStorageMemory
spark_driver_total_off_heap_storage_memory
driver
/{appId}/1/allexecutors
select(.id=='driver') | .memoryMetrics.totalOffHeapStorageMemory