how to add node ip or hostname attribute to metric #3223

lazyfighter · 2023-02-17T09:19:31Z

lazyfighter
Feb 17, 2023

Value: 0
{"kind": "exporter", "data_type": "metrics", "name": "logging"}
2023-02-17T17:17:57.719+0800 info MetricsExporter {"kind": "exporter", "data_type": "metrics", "name": "logging", "#metrics": 24}
2023-02-17T17:17:57.720+0800 info ResourceMetrics #0
Resource SchemaURL: https://opentelemetry.io/schemas/1.9.0
Resource attributes:
-> container.id: Str(17480)
-> host.arch: Str(amd64)
-> host.name: Str(yz5514)
-> nodeIp: Str(test)
-> os.description: Str(Linux 3.10.0-1160.66.1.el7.x86_64)
-> os.type: Str(linux)
-> process.command_line: Str(/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.362.b08-1.el7_9.x86_64/jre:bin:java -javaagent:./opentelemetry-javaagent.jar -Dotel.resource.attributes=nodeIp=test -Dotel.service.name=test -Dotel.exporter.otlp.endpoint=http://127.0.0.1:4318)
-> process.executable.path: Str(/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.362.b08-1.el7_9.x86_64/jre:bin:java)
-> process.pid: Int(28329)
-> process.runtime.description: Str(Red Hat, Inc. OpenJDK 64-Bit Server VM 25.362-b08)
-> process.runtime.name: Str(OpenJDK Runtime Environment)
-> process.runtime.version: Str(1.8.0_362-b08)
-> service.name: Str(test)
-> telemetry.auto.version: Str(1.16.0)
-> telemetry.sdk.language: Str(java)
-> telemetry.sdk.name: Str(opentelemetry)
-> telemetry.sdk.version: Str(1.16.0)
ScopeMetrics #0
ScopeMetrics SchemaURL:
InstrumentationScope io.opentelemetry.runtime-metrics
Metric #0
Descriptor:
-> Name: process.runtime.jvm.system.cpu.load_1m
-> Description: Average CPU load of the whole system for the last minute
-> Unit: 1
-> DataType: Gauge
NumberDataPoints #0
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 0.000000
Metric #1
Descriptor:
-> Name: process.runtime.jvm.memory.limit
-> Description: Measure of max obtainable memory
-> Unit: By
-> DataType: Sum
-> IsMonotonic: false
-> AggregationTemporality: Cumulative
NumberDataPoints #0
Data point attributes:
-> pool: Str(PS Eden Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 663748608
NumberDataPoints #1
Data point attributes:
-> pool: Str(PS Survivor Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 9437184
NumberDataPoints #2
Data point attributes:
-> pool: Str(PS Old Gen)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 1367343104
NumberDataPoints #3
Data point attributes:
-> pool: Str(Compressed Class Space)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 1073741824
NumberDataPoints #4
Data point attributes:
-> pool: Str(Code Cache)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 251658240
Metric #2
Descriptor:
-> Name: process.runtime.jvm.classes.loaded
-> Description: Number of classes loaded since JVM start
-> Unit: 1
-> DataType: Sum
-> IsMonotonic: true
-> AggregationTemporality: Cumulative
NumberDataPoints #0
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 9577
Metric #3
Descriptor:
-> Name: process.runtime.jvm.cpu.utilization
-> Description: Recent cpu utilization for the process
-> Unit: 1
-> DataType: Gauge
NumberDataPoints #0
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 0.000208
Metric #4
Descriptor:
-> Name: process.runtime.jvm.classes.unloaded
-> Description: Number of classes unloaded since JVM start
-> Unit: 1
-> DataType: Sum
-> IsMonotonic: true
-> AggregationTemporality: Cumulative
NumberDataPoints #0
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 0
Metric #5
Descriptor:
-> Name: process.runtime.jvm.threads.count
-> Description: Number of executing threads
-> Unit: 1
-> DataType: Sum
-> IsMonotonic: false
-> AggregationTemporality: Cumulative
NumberDataPoints #0
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 32
Metric #6
Descriptor:
-> Name: process.runtime.jvm.memory.committed
-> Description: Measure of memory committed
-> Unit: By
-> DataType: Sum
-> IsMonotonic: false
-> AggregationTemporality: Cumulative
NumberDataPoints #0
Data point attributes:
-> pool: Str(PS Eden Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 183500800
NumberDataPoints #1
Data point attributes:
-> pool: Str(PS Survivor Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 9437184
NumberDataPoints #2
Data point attributes:
-> pool: Str(PS Old Gen)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 74448896
NumberDataPoints #3
Data point attributes:
-> pool: Str(Metaspace)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 54919168
NumberDataPoints #4
Data point attributes:
-> pool: Str(Compressed Class Space)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 7208960
NumberDataPoints #5
Data point attributes:
-> pool: Str(Code Cache)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 14745600
Metric #7
Descriptor:
-> Name: process.runtime.jvm.memory.init
-> Description: Measure of initial memory requested
-> Unit: By
-> DataType: Sum
-> IsMonotonic: false
-> AggregationTemporality: Cumulative
NumberDataPoints #0
Data point attributes:
-> pool: Str(PS Eden Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 32505856
NumberDataPoints #1
Data point attributes:
-> pool: Str(PS Survivor Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 5242880
NumberDataPoints #2
Data point attributes:
-> pool: Str(PS Old Gen)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 87031808
NumberDataPoints #3
Data point attributes:
-> pool: Str(Metaspace)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 0
NumberDataPoints #4
Data point attributes:
-> pool: Str(Compressed Class Space)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 0
NumberDataPoints #5
Data point attributes:
-> pool: Str(Code Cache)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 2555904
Metric #8
Descriptor:
-> Name: process.runtime.jvm.memory.usage
-> Description: Measure of memory used
-> Unit: By
-> DataType: Sum
-> IsMonotonic: false
-> AggregationTemporality: Cumulative
NumberDataPoints #0
Data point attributes:
-> pool: Str(PS Eden Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 119007992
NumberDataPoints #1
Data point attributes:
-> pool: Str(PS Survivor Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 8662448
NumberDataPoints #2
Data point attributes:
-> pool: Str(PS Old Gen)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 13409552
NumberDataPoints #3
Data point attributes:
-> pool: Str(Metaspace)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 51823128
NumberDataPoints #4
Data point attributes:
-> pool: Str(Compressed Class Space)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 6609544
NumberDataPoints #5
Data point attributes:
-> pool: Str(Code Cache)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 13455872
Metric #9
Descriptor:
-> Name: process.runtime.jvm.system.cpu.utilization
-> Description: Recent cpu utilization for the whole system
-> Unit: 1
-> DataType: Gauge
NumberDataPoints #0
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 0.001751
Metric #10
Descriptor:
-> Name: process.runtime.jvm.classes.current_loaded
-> Description: Number of classes currently loaded
-> Unit: 1
-> DataType: Sum
-> IsMonotonic: false
-> AggregationTemporality: Cumulative
NumberDataPoints #0
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 9577
ScopeMetrics #1
ScopeMetrics SchemaURL:
InstrumentationScope io.opentelemetry.runtime-metrics 1.22.1-alpha
Metric #0
Descriptor:
-> Name: process.runtime.jvm.system.cpu.load_1m
-> Description: Average CPU load of the whole system for the last minute
-> Unit: 1
-> DataType: Gauge
NumberDataPoints #0
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 0.000000
Metric #1
Descriptor:
-> Name: process.runtime.jvm.classes.loaded
-> Description: Number of classes loaded since JVM start
-> Unit: 1
-> DataType: Sum
-> IsMonotonic: true
-> AggregationTemporality: Cumulative
NumberDataPoints #0
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 9577
Metric #2
Descriptor:
-> Name: process.runtime.jvm.memory.usage_after_last_gc
-> Description: Measure of memory used after the most recent garbage collection event on this pool
-> Unit: By
-> DataType: Sum
-> IsMonotonic: false
-> AggregationTemporality: Cumulative
NumberDataPoints #0
Data point attributes:
-> pool: Str(PS Eden Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 0
NumberDataPoints #1
Data point attributes:
-> pool: Str(PS Survivor Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 8662448
NumberDataPoints #2
Data point attributes:
-> pool: Str(PS Old Gen)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 13384976
Metric #3
Descriptor:
-> Name: process.runtime.jvm.memory.limit
-> Description: Measure of max obtainable memory
-> Unit: By
-> DataType: Sum
-> IsMonotonic: false
-> AggregationTemporality: Cumulative
NumberDataPoints #0
Data point attributes:
-> pool: Str(PS Eden Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 663748608
NumberDataPoints #1
Data point attributes:
-> pool: Str(PS Survivor Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 9437184
NumberDataPoints #2
Data point attributes:
-> pool: Str(PS Old Gen)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 1367343104
NumberDataPoints #3
Data point attributes:
-> pool: Str(Compressed Class Space)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 1073741824
NumberDataPoints #4
Data point attributes:
-> pool: Str(Code Cache)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 251658240
Metric #4
Descriptor:
-> Name: process.runtime.jvm.cpu.utilization
-> Description: Recent cpu utilization for the process
-> Unit: 1
-> DataType: Gauge
NumberDataPoints #0
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 0.000000
Metric #5
Descriptor:
-> Name: process.runtime.jvm.classes.unloaded
-> Description: Number of classes unloaded since JVM start
-> Unit: 1
-> DataType: Sum
-> IsMonotonic: true
-> AggregationTemporality: Cumulative
NumberDataPoints #0
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 0
Metric #6
Descriptor:
-> Name: process.runtime.jvm.threads.count
-> Description: Number of executing threads
-> Unit: 1
-> DataType: Sum
-> IsMonotonic: false
-> AggregationTemporality: Cumulative
NumberDataPoints #0
Data point attributes:
-> daemon: Bool(true)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 28
NumberDataPoints #1
Data point attributes:
-> daemon: Bool(false)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 4
Metric #7
Descriptor:
-> Name: process.runtime.jvm.memory.committed
-> Description: Measure of memory committed
-> Unit: By
-> DataType: Sum
-> IsMonotonic: false
-> AggregationTemporality: Cumulative
NumberDataPoints #0
Data point attributes:
-> pool: Str(PS Eden Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 183500800
NumberDataPoints #1
Data point attributes:
-> pool: Str(PS Survivor Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 9437184
NumberDataPoints #2
Data point attributes:
-> pool: Str(PS Old Gen)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 74448896
NumberDataPoints #3
Data point attributes:
-> pool: Str(Metaspace)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 54919168
NumberDataPoints #4
Data point attributes:
-> pool: Str(Compressed Class Space)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 7208960
NumberDataPoints #5
Data point attributes:
-> pool: Str(Code Cache)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 14745600
Metric #8
Descriptor:
-> Name: process.runtime.jvm.memory.init
-> Description: Measure of initial memory requested
-> Unit: By
-> DataType: Sum
-> IsMonotonic: false
-> AggregationTemporality: Cumulative
NumberDataPoints #0
Data point attributes:
-> pool: Str(PS Eden Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 32505856
NumberDataPoints #1
Data point attributes:
-> pool: Str(PS Survivor Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 5242880
NumberDataPoints #2
Data point attributes:
-> pool: Str(PS Old Gen)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 87031808
NumberDataPoints #3
Data point attributes:
-> pool: Str(Metaspace)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 0
NumberDataPoints #4
Data point attributes:
-> pool: Str(Compressed Class Space)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 0
NumberDataPoints #5
Data point attributes:
-> pool: Str(Code Cache)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 2555904
Metric #9
Descriptor:
-> Name: process.runtime.jvm.memory.usage
-> Description: Measure of memory used
-> Unit: By
-> DataType: Sum
-> IsMonotonic: false
-> AggregationTemporality: Cumulative
NumberDataPoints #0
Data point attributes:
-> pool: Str(PS Eden Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 119007992
NumberDataPoints #1
Data point attributes:
-> pool: Str(PS Survivor Space)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 8662448
NumberDataPoints #2
Data point attributes:
-> pool: Str(PS Old Gen)
-> type: Str(heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 13409552
NumberDataPoints #3
Data point attributes:
-> pool: Str(Metaspace)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 51823128
NumberDataPoints #4
Data point attributes:
-> pool: Str(Compressed Class Space)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 6609544
NumberDataPoints #5
Data point attributes:
-> pool: Str(Code Cache)
-> type: Str(non_heap)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 13455872
Metric #10
Descriptor:
-> Name: process.runtime.jvm.system.cpu.utilization
-> Description: Recent cpu utilization for the whole system
-> Unit: 1
-> DataType: Gauge
NumberDataPoints #0
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 0.000000
Metric #11
Descriptor:
-> Name: process.runtime.jvm.classes.current_loaded
-> Description: Number of classes currently loaded
-> Unit: 1
-> DataType: Sum
-> IsMonotonic: false
-> AggregationTemporality: Cumulative
NumberDataPoints #0
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 9577
ScopeMetrics #2
ScopeMetrics SchemaURL:
InstrumentationScope io.opentelemetry.sdk.trace
Metric #0
Descriptor:
-> Name: queueSize
-> Description: The number of spans queued
-> Unit: 1
-> DataType: Gauge
NumberDataPoints #0
Data point attributes:
-> spanProcessorType: Str(BatchSpanProcessor)
StartTimestamp: 2023-02-17 09:05:57.633 +0000 UTC
Timestamp: 2023-02-17 09:17:57.638 +0000 UTC
Value: 0
{"kind": "exporter", "data_type": "metrics", "name": "logging"}

lazyfighter · 2023-02-17T09:19:56Z

lazyfighter
Feb 17, 2023
Author

receivers:
otlp:
protocols:
grpc:
endpoint: localhost:4318

processors:
batch:
resourcedetection:
detectors: ["env", "system"]
system:
hostname_sources: ["os"]
attributes:
actions:
- key: hostname
value: hostname
action: insert
- key: test
from_attribute: nodeIp
action: upsert
exporters:
logging:
loglevel: debug
prometheusremotewrite:
endpoint: "http://10.1.111.68:8428/api/v1/write"
extensions:
health_check:
pprof:
zpages:

service:
extensions: [health_check, pprof, zpages]
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [logging]
metrics:
receivers: [otlp]
processors: [resourcedetection, batch]
exporters: [prometheusremotewrite,logging]
logs:
receivers: [otlp]
processors: [batch]
exporters: [logging]

0 replies

lazyfighter · 2023-02-17T09:32:37Z

lazyfighter
Feb 17, 2023
Author

processors:
batch:
resourcedetection:
detectors: ["env", "system"]
attributes:
actions:
- key: hostname
from_attribute: nodeIp
action: insert
- key: test
from_attribute: host.name
action: insert

1 reply

lazyfighter Feb 17, 2023
Author

is still not work

rogerogers · 2023-02-17T13:26:57Z

rogerogers
Feb 17, 2023

Can you provide a formatted config? with correct indent

3 replies

lazyfighter Feb 20, 2023
Author

receivers:
otlp:
protocols:
grpc:
endpoint: localhost:4318

processors:
batch:
resourcedetection:
detectors: ["env", "system"]
attributes:
actions:
- key: hostname
from_attribute: nodeIp
action: insert
- key: test
from_attribute: host.name
action: insert
exporters:
logging:
loglevel: debug
prometheusremotewrite:
endpoint: "http://10.1.111.68:8428/api/v1/write"
extensions:
health_check:
pprof:
zpages:

service:
extensions: [health_check, pprof, zpages]
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [logging]
metrics:
receivers: [otlp]
processors: [resourcedetection, attributes, batch]
exporters: [prometheusremotewrite,logging]
logs:
receivers: [otlp]
processors: [batch]
exporters: [logging]

lazyfighter Feb 20, 2023
Author

java -jar -javaagent:./opentelemetry-javaagent.jar -Dotel.resource.attributes=nodeIp=test -Dotel.service.name=test -Dotel.exporter.otlp.endpoint=http://127.0.0.1:4318 opentelemetry-test-0.0.1-SNAPSHOT.jar

lazyfighter Feb 20, 2023
Author

@rogerogers

rogerogers · 2023-02-20T06:12:45Z

rogerogers
Feb 20, 2023

Seems labels of metrics are limited metrics

10 replies

rogerogers Feb 20, 2023

processors:
  resource:
    attributes:
      - key: you_r
        from_attribute: instance
        action: insert
      - key: you_ip
        from_attribute: node.ip
        action: insert

You should use resourceprocessor get resource values. But this seems only affecttarget_info metrics.

lazyfighter Feb 20, 2023
Author

it not work

rogerogers Feb 20, 2023

it not work

Searchtarget_info in your metrics list

rogerogers Feb 20, 2023

i want to use opentelemetry , look at my jar start options and collector config, i dont know why cant get resource attribute

exporters:
  prometheus:
    endpoint: "0.0.0.0:1234"
    namespace: default
    send_timestamps: true
    metric_expiration: 180m
    resource_to_telemetry_conversion:
      enabled: true

curl localhost:1234/metrics

Using Prometheus exporter will expose all attributes.

lazyfighter Feb 20, 2023
Author

i will try it , thank you~

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how to add node ip or hostname attribute to metric #3223

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