зеркало из https://github.com/microsoft/pai.git
refactor job-exporter (#1840)
* refactor job-exporter * select a network interface (#1849) * do not use irate in task_net* and service_net* metric (#1859)
This commit is contained in:
Di Xu
GitHub
Родитель
274fba0da5
Коммит
2c08713a45
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@ -35,13 +35,13 @@ matrix:
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- python -m unittest deployment.clusterObjectModel.test.test_template_generate
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- language: python
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python: 2.7
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python: 3.6
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before_install:
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- cd src/job-exporter/test
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install:
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- pip install pyyaml
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- pip install prometheus_client
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script:
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- python -m unittest discover .
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- python3 -m unittest discover .
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- language: python
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python: 2.7
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@ -93,6 +93,12 @@ rest-server:
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# node-exporter:
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# port: 9100
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# uncomment following if you want to customeize job-exporter
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# job-exporter:
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# port: 9102
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# logging-level: INFO
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# interface: eth0,eno2
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# if you want to enable alert manager to send alert email, uncomment following lines and fill
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# the right values.
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# alert-manager:
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@ -60,14 +60,14 @@ Other pai component also used some metrics for display, they are:
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<li>node_network_transmit_bytes_total</li>
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<li>node_disk_read_bytes_total</li>
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<li>node_disk_written_bytes_total</li>
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<li>container_CPUPerc</li>
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<li>container_MemUsage</li>
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<li>container_NetIn</li>
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<li>container_NetOut</li>
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<li>container_BlockIn</li>
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<li>container_BlockOut</li>
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<li>container_GPUPerc</li>
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<li>container_GPUMemPerc</li>
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<li>task_cpu_percent</li>
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<li>task_mem_usage_byte</li>
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<li>task_net_in_byte</li>
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<li>task_net_out_byte</li>
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<li>task_block_in_byte</li>
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<li>task_block_out_byte</li>
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<li>task_gpu_percent</li>
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<li>task_gpu_mem_percent</li>
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</ul>
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</td>
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</tr>
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@ -5,19 +5,18 @@ Some important metrics are listed below.
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| Metrics Name | By | Description |
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| --- | --- | --- |
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| `configured_gpu_count` | `job_exporter` | number of gpu configured by user |
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| `nvidiasmi_attached_gpus` | `job_exporter` | number of gpu detectived by nvidiasmi, this metric may change due to nvidia-smi hangs |
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| `nvidiasmi_utilization_gpu` | `job_exporter` | GPU utilization detectived by nvidiasmi |
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| `nvidiasmi_utilization_memory` | `job_exporter` | GPU memory utilization detectiving by nvidiasmi |
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| `container_GPUPerc` | `job_exporter` | GPU utilization by specified job container |
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| `container_GPUMemPerc` | `job_exporter` | GPU memory utilization by specified job container |
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| `container_CPUPerc` | `job_exporter` | CPU utilization by job detectived by docker stats |
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| `container_MemUsage` | `job_exporter` | Memory usage by job detectived by docker stats (byte) |
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| `container_MemLimit` | `job_exporter` | Memory limit by job detectived by docker stats (byte) |
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| `container_MemPerc` | `job_exporter` | Memory utilization by job detectived by docker stats |
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| `container_NetIn` | `job_exporter` | Network in traffic by job detectived by docker stats (byte) |
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| `container_NetOut` | `job_exporter` | Network out traffic by job detectived by docker stats (byte) |
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| `container_BlockIn` | `job_exporter` | Block io in traffic by job detectived by docker stats (byte) |
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| `container_BlockOut` | `job_exporter` | Block io out traffic by job detectived by docker stats (byte) |
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| `task_gpu_percent` | `job_exporter` | GPU utilization by specified job container |
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| `task_gpu_mem_percent` | `job_exporter` | GPU memory utilization by specified job container |
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| `task_cpu_percent` | `job_exporter` | CPU utilization by job detectived by docker stats |
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| `task_mem_usage_byte` | `job_exporter` | Memory usage by job detectived by docker stats (byte) |
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| `task_mem_limit_byte` | `job_exporter` | Memory limit by job detectived by docker stats (byte) |
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| `task_mem_usage_percent` | `job_exporter` | Memory utilization by job detectived by docker stats |
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| `task_net_in_byte` | `job_exporter` | Network in traffic by job detectived by docker stats (byte) |
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| `task_net_out_byte` | `job_exporter` | Network out traffic by job detectived by docker stats (byte) |
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| `task_block_in_byte` | `job_exporter` | Block io in traffic by job detectived by docker stats (byte) |
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| `task_block_out_byte` | `job_exporter` | Block io out traffic by job detectived by docker stats (byte) |
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| `node_filefd_allocated` | `node_exporter` | Number of file descriptor allocated in node |
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| `node_disk_read_time_ms` | `node_exporter` | Node disk read time (ms) |
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| `node_disk_write_time_ms` | `node_exporter` | Node disk write time (ms) |
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@ -91,7 +91,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME)(container_CPUPerc{container_label_PAI_JOB_NAME=~\"$job\"}) ",
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"expr": "avg by (container_label_PAI_JOB_NAME)(task_cpu_percent{container_label_PAI_JOB_NAME=~\"$job\"}) ",
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"format": "time_series",
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"instant": false,
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"intervalFactor": 2,
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@ -191,7 +191,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME) (container_MemUsage{ container_label_PAI_JOB_NAME=~\"$job\"})",
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"expr": "avg by (container_label_PAI_JOB_NAME) (task_mem_usage_byte{ container_label_PAI_JOB_NAME=~\"$job\"})",
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"format": "time_series",
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"hide": false,
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"instant": false,
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@ -283,7 +283,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME) (irate(container_NetIn{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s])) ",
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"expr": "avg by (container_label_PAI_JOB_NAME) (task_net_in_byte{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s])",
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"format": "time_series",
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"interval": "",
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"intervalFactor": 2,
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@ -294,7 +294,7 @@
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"target": ""
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},
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{
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"expr": "avg by (container_label_PAI_JOB_NAME) (irate(container_NetOut{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s])) ",
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"expr": "avg by (container_label_PAI_JOB_NAME) (task_net_out_byte{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s])",
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"format": "time_series",
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"hide": false,
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"interval": "",
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@ -390,7 +390,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME) (irate(container_BlockIn{ container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
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"expr": "avg by (container_label_PAI_JOB_NAME) (irate(task_block_in_byte{ container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
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"format": "time_series",
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"interval": "",
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"intervalFactor": 2,
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@ -401,7 +401,7 @@
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"target": ""
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},
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{
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"expr": "avg by (container_label_PAI_JOB_NAME) (irate(container_BlockOut{ container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
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"expr": "avg by (container_label_PAI_JOB_NAME) (irate(task_block_out_byte{ container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
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"format": "time_series",
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"intervalFactor": 2,
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"legendFormat": "Read {{'{{container_label_PAI_JOB_NAME}}'}}",
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@ -480,7 +480,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME)(container_GPUPerc{container_label_PAI_JOB_NAME=~\"$job\"})",
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"expr": "avg by (container_label_PAI_JOB_NAME)(task_gpu_percent{container_label_PAI_JOB_NAME=~\"$job\"})",
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"format": "time_series",
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"interval": "",
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"intervalFactor": 2,
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@ -563,7 +563,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME) (container_GPUMemPerc{container_label_PAI_JOB_NAME=~\"$job\"})",
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"expr": "avg by (container_label_PAI_JOB_NAME) (task_gpu_mem_percent{container_label_PAI_JOB_NAME=~\"$job\"})",
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"format": "time_series",
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"instant": false,
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"intervalFactor": 2,
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@ -637,7 +637,7 @@
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"multiFormat": "regex values",
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"name": "job",
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"options": [],
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"query": "label_values(container_CPUPerc, container_label_PAI_JOB_NAME)",
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"query": "label_values(task_cpu_percent, container_label_PAI_JOB_NAME)",
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"refresh": 1,
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"regex": "^(?!\\s*$).+",
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"sort": 1,
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@ -224,7 +224,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "irate(service_net_in_byte{name=\"$service_name\"}[{{interval}}s])",
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"expr": "service_net_in_byte{name=\"$service_name\"}[{{interval}}s]",
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"format": "time_series",
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"interval": "",
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"intervalFactor": 2,
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@ -232,7 +232,7 @@
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"refId": "A"
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},
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{
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"expr": "irate(service_net_out_byte{name=\"$service_name\"}[{{interval}}s])",
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"expr": "service_net_out_byte{name=\"$service_name\"}[{{interval}}s]",
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"format": "time_series",
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"intervalFactor": 2,
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"legendFormat": "{{'{{'}}instance{{'}}'}} Outbound",
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@ -108,7 +108,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME) (container_CPUPerc{container_label_PAI_JOB_NAME=~\"$job\"})",
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME) (task_cpu_percent{container_label_PAI_JOB_NAME=~\"$job\"})",
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"format": "time_series",
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"instant": false,
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"intervalFactor": 2,
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@ -208,7 +208,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME) (container_MemUsage{container_label_PAI_JOB_NAME=~\"$job\"})",
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME) (task_mem_usage_byte{container_label_PAI_JOB_NAME=~\"$job\"})",
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"format": "time_series",
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"hide": false,
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"instant": false,
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@ -300,7 +300,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME) (irate(container_NetIn{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME) (task_net_in_byte{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s])",
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"interval": "",
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"intervalFactor": 2,
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"legendFormat": "In {{'{{container_label_PAI_JOB_NAME}}'}}-{{'{{container_label_PAI_CURRENT_TASK_ROLE_NAME}}'}}",
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@ -310,7 +310,7 @@
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"target": ""
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},
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{
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME) (irate(container_NetOut{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME) (task_net_out_byte{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s])",
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"format": "time_series",
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"hide": false,
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"interval": "",
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@ -406,7 +406,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME) (irate(container_BlockIn{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME) (irate(task_block_in_byte{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
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"interval": "",
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"intervalFactor": 2,
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"legendFormat": "Write {{'{{container_label_PAI_JOB_NAME}}'}}-{{'{{container_label_PAI_CURRENT_TASK_ROLE_NAME}}'}}",
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@ -416,7 +416,7 @@
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"target": ""
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},
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{
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME) (irate(container_BlockOut{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME) (irate(task_block_out_byte{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
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"intervalFactor": 2,
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"legendFormat": "Read {{'{{container_label_PAI_JOB_NAME}}'}}-{{'{{container_label_PAI_CURRENT_TASK_ROLE_NAME}}'}}",
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"refId": "B"
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@ -494,7 +494,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME)(container_GPUPerc{container_label_PAI_JOB_NAME=~\"$job\"})",
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME)(task_gpu_percent{container_label_PAI_JOB_NAME=~\"$job\"})",
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"format": "time_series",
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"interval": "",
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"intervalFactor": 2,
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@ -592,7 +592,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME) (container_GPUMemPerc{container_label_PAI_JOB_NAME=~\"$job\"})",
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME) (task_gpu_mem_percent{container_label_PAI_JOB_NAME=~\"$job\"})",
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"format": "time_series",
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"intervalFactor": 2,
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"legendFormat": "{{'{{container_label_PAI_JOB_NAME}}'}}-{{'{{container_label_PAI_CURRENT_TASK_ROLE_NAME}}'}}",
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@ -665,7 +665,7 @@
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"multiFormat": "regex values",
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"name": "job",
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"options": [],
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"query": "label_values(container_CPUPerc, container_label_PAI_JOB_NAME)",
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"query": "label_values(task_cpu_percent, container_label_PAI_JOB_NAME)",
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"refresh": 1,
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"regex": "^(?!\\s*$).+",
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"sort": 1,
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|
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@ -96,7 +96,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME, container_env_PAI_TASK_INDEX) (container_CPUPerc{container_label_PAI_JOB_NAME=~\"$job\"})",
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME, container_env_PAI_TASK_INDEX) (task_cpu_percent{container_label_PAI_JOB_NAME=~\"$job\"})",
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"format": "time_series",
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"instant": false,
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"intervalFactor": 2,
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@ -196,7 +196,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME, container_env_PAI_TASK_INDEX) (container_MemUsage{container_label_PAI_JOB_NAME=~\"$job\"})",
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME, container_env_PAI_TASK_INDEX) (task_mem_usage_byte{container_label_PAI_JOB_NAME=~\"$job\"})",
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"format": "time_series",
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"hide": false,
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"instant": false,
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@ -288,7 +288,7 @@
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"steppedLine": false,
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"targets": [
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{
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME, container_env_PAI_TASK_INDEX) (irate(container_NetIn{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME, container_env_PAI_TASK_INDEX) (task_net_in_byte{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s])",
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"format": "time_series",
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"interval": "",
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"intervalFactor": 2,
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@ -299,7 +299,7 @@
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"target": ""
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},
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{
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME, container_env_PAI_TASK_INDEX) (irate(container_NetOut{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
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"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME, container_env_PAI_TASK_INDEX) (task_net_out_byte{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s])",
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"format": "time_series",
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"hide": false,
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"interval": "",
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@ -395,7 +395,7 @@
|
|||
"steppedLine": false,
|
||||
"targets": [
|
||||
{
|
||||
"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME,container_env_PAI_TASK_INDEX) (irate(container_BlockIn{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
|
||||
"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME,container_env_PAI_TASK_INDEX) (irate(task_block_in_byte{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
|
||||
"format": "time_series",
|
||||
"interval": "",
|
||||
"intervalFactor": 2,
|
||||
|
|
@ -406,7 +406,7 @@
|
|||
"target": ""
|
||||
},
|
||||
{
|
||||
"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME,container_env_PAI_TASK_INDEX) (irate(container_BlockOut{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
|
||||
"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME,container_env_PAI_TASK_INDEX) (irate(task_block_out_byte{container_label_PAI_JOB_NAME=~\"$job\"}[{{interval}}s]))",
|
||||
"format": "time_series",
|
||||
"intervalFactor": 2,
|
||||
"legendFormat": "Read {{'{{container_label_PAI_JOB_NAME}}'}}-{{'{{container_env_PAI_TASK_INDEX}}'}}",
|
||||
|
|
@ -485,7 +485,7 @@
|
|||
"steppedLine": false,
|
||||
"targets": [
|
||||
{
|
||||
"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME, container_env_PAI_TASK_INDEX)(container_GPUPerc{container_label_PAI_JOB_NAME=~\"$job\"})",
|
||||
"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME, container_env_PAI_TASK_INDEX)(task_gpu_percent{container_label_PAI_JOB_NAME=~\"$job\"})",
|
||||
"format": "time_series",
|
||||
"interval": "",
|
||||
"intervalFactor": 2,
|
||||
|
|
@ -568,7 +568,7 @@
|
|||
"steppedLine": false,
|
||||
"targets": [
|
||||
{
|
||||
"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME,container_env_PAI_TASK_INDEX) (container_GPUMemPerc{container_label_PAI_JOB_NAME=~\"$job\"})",
|
||||
"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME,container_env_PAI_TASK_INDEX) (task_gpu_mem_percent{container_label_PAI_JOB_NAME=~\"$job\"})",
|
||||
"format": "time_series",
|
||||
"interval": "",
|
||||
"intervalFactor": 2,
|
||||
|
|
@ -673,7 +673,7 @@
|
|||
"steppedLine": false,
|
||||
"targets": [
|
||||
{
|
||||
"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME,container_env_PAI_TASK_INDEX, minor_number)(container_GPUPerc{container_label_PAI_JOB_NAME=~\"$job\"})",
|
||||
"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME,container_env_PAI_TASK_INDEX, minor_number)(task_gpu_percent{container_label_PAI_JOB_NAME=~\"$job\"})",
|
||||
"format": "time_series",
|
||||
"hide": false,
|
||||
"instant": false,
|
||||
|
|
@ -771,7 +771,7 @@
|
|||
"steppedLine": false,
|
||||
"targets": [
|
||||
{
|
||||
"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME, container_env_PAI_TASK_INDEX, minor_number) (container_GPUMemPerc{container_label_PAI_JOB_NAME=~\"$job\"})",
|
||||
"expr": "avg by (container_label_PAI_JOB_NAME, container_label_PAI_CURRENT_TASK_ROLE_NAME, container_env_PAI_TASK_INDEX, minor_number) (task_gpu_mem_percent{container_label_PAI_JOB_NAME=~\"$job\"})",
|
||||
"hide": false,
|
||||
"instant": false,
|
||||
"interval": "",
|
||||
|
|
@ -850,7 +850,7 @@
|
|||
"multiFormat": "regex values",
|
||||
"name": "job",
|
||||
"options": [],
|
||||
"query": "label_values(container_CPUPerc, container_label_PAI_JOB_NAME)",
|
||||
"query": "label_values(task_cpu_percent, container_label_PAI_JOB_NAME)",
|
||||
"refresh": 1,
|
||||
"regex": "^(?!\\s*$).+",
|
||||
"sort": 1,
|
||||
|
|
|
|||
|
|
@ -15,13 +15,13 @@
|
|||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
FROM python:2.7
|
||||
FROM python:3.7
|
||||
|
||||
RUN apt-get update && apt-get install --no-install-recommends -y build-essential git && \
|
||||
git clone https://github.com/yadutaf/infilter --depth 1 && \
|
||||
cd infilter && make
|
||||
|
||||
FROM python:2.7
|
||||
FROM python:3.7
|
||||
|
||||
RUN curl -SL https://download.docker.com/linux/static/stable/x86_64/docker-17.06.2-ce.tgz \
|
||||
| tar -xzvC /usr/local && \
|
||||
|
|
@ -30,7 +30,7 @@ RUN curl -SL https://download.docker.com/linux/static/stable/x86_64/docker-17.06
|
|||
mkdir -p /job_exporter && \
|
||||
rm -rf /var/lib/apt/lists/*
|
||||
|
||||
COPY --from=0 infilter/infilter /usr/bin
|
||||
COPY src/* /job_exporter/
|
||||
RUN pip3 install prometheus_client
|
||||
|
||||
CMD python /job_exporter/job_exporter.py /datastorage/prometheus 30
|
||||
COPY --from=0 infilter/infilter /usr/bin
|
||||
COPY src/*.py /job_exporter/
|
||||
|
|
|
|||
|
|
@ -0,0 +1,73 @@
|
|||
## Job-exporter section parser
|
||||
|
||||
- [Default Configuration](#D_Config)
|
||||
- [How to Configure](#HT_Config)
|
||||
- [Generated Configuraiton](#G_Config)
|
||||
- [Data Table](#T_config)
|
||||
|
||||
#### Default configuration <a name="D_Config"></a>
|
||||
|
||||
[job-exporter default configuration](job-exporter.yaml)
|
||||
|
||||
#### How to configure cluster section in service-configuraiton.yaml <a name="HT_Config"></a>
|
||||
|
||||
All configurations in this section is optional. If you want to customized these value, you can configure it in service-configuration.yaml.
|
||||
|
||||
For example, if you want to use different port than the default 9102, add following to your service-configuration.yaml as following:
|
||||
```yaml
|
||||
job-exporter:
|
||||
port: new-value
|
||||
logging-level: DEBUG
|
||||
```
|
||||
|
||||
job-exporter needs to expose network related metrics by listening to one of network interface.
|
||||
By default, job-exporter will listen to card of eth0 or eno2 whichever it found in the node.
|
||||
But if your card name is different from these, you should edit job-exporter config in your
|
||||
service-configuration.yaml like following:
|
||||
```yaml
|
||||
job-exporter:
|
||||
interface: eth1,eno1
|
||||
```
|
||||
|
||||
the interface field is comma separated string, and job-exporter will listen to the one that found in your node. If none of interfaces found, job-exporter will select one that can access the internet.
|
||||
|
||||
|
||||
#### Generated Configuration <a name="G_Config"></a>
|
||||
|
||||
Generated configuration means the object model after parsing. The parsed data will be presented by a yaml format.
|
||||
```yaml
|
||||
job-exporter:
|
||||
port: 9100
|
||||
logging-level: DEBUG
|
||||
interface: eth0,eno2
|
||||
```
|
||||
|
||||
|
||||
#### Table <a name="T_Config"></a>
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<td>Data in Configuration File</td>
|
||||
<td>Data in Cluster Object Model</td>
|
||||
<td>Data in Jinja2 Template</td>
|
||||
<td>Data type</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>job-exporter.port</td>
|
||||
<td>com["job-exporter"]["port"]</td>
|
||||
<td>cluster_cfg["job-exporter"]["port"]</td>
|
||||
<td>Int</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>job-exporter.logging-level</td>
|
||||
<td>com["job-exporter"]["logging-level"]</td>
|
||||
<td>cluster_cfg["job-exporter"]["logging-level"]</td>
|
||||
<td>String</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>job-exporter.interface</td>
|
||||
<td>com["job-exporter"]["interface"]</td>
|
||||
<td>cluster_cfg["job-exporter"]["interface"]</td>
|
||||
<td>String</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
|
@ -0,0 +1,20 @@
|
|||
# Copyright (c) Microsoft Corporation
|
||||
# # All rights reserved.
|
||||
# #
|
||||
# # MIT License
|
||||
# #
|
||||
# # Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
|
||||
# # documentation files (the "Software"), to deal in the Software without restriction, including without limitation
|
||||
# # the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
|
||||
# # to permit persons to whom the Software is furnished to do so, subject to the following conditions:
|
||||
# # The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
|
||||
# #
|
||||
# # THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
|
||||
# # BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
# # NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
|
||||
# # DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
port: 9102
|
||||
logging-level: INFO
|
||||
interface: eth0,eno2
|
||||
|
|
@ -0,0 +1,30 @@
|
|||
#!/usr/bin/env python
|
||||
|
||||
import copy
|
||||
|
||||
class JobExporter(object):
|
||||
def __init__(self, cluster_conf, service_conf, default_service_conf):
|
||||
self.cluster_conf = cluster_conf
|
||||
self.service_conf = service_conf
|
||||
self.default_service_conf = default_service_conf
|
||||
|
||||
def validation_pre(self):
|
||||
return True, None
|
||||
|
||||
def run(self):
|
||||
result = copy.deepcopy(self.default_service_conf)
|
||||
result.update(self.service_conf)
|
||||
return result
|
||||
|
||||
def validation_post(self, conf):
|
||||
port = conf["job-exporter"].get("port")
|
||||
if type(port) != int:
|
||||
msg = "expect port in job-exporter to be int but get %s with type %s" % \
|
||||
(port, type(port))
|
||||
return False, msg
|
||||
level = conf["job-exporter"].get("logging-level")
|
||||
if level not in {"DEBUG", "INFO", "WARNING"}:
|
||||
msg = "expect logging-level in job-exporter to be {'DEBUG', 'INFO', 'WARNING'} but got %s" % \
|
||||
(level)
|
||||
return False, msg
|
||||
return True, None
|
||||
|
|
@ -1,3 +1,5 @@
|
|||
#!/bin/bash
|
||||
|
||||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
|
|
@ -15,26 +17,10 @@
|
|||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
version: 1
|
||||
disable_existing_loggers: False
|
||||
formatters:
|
||||
pai_k8sdp:
|
||||
format: "%(asctime)s [%(levelname)s] - %(name)s : %(message)s"
|
||||
pushd $(dirname "$0") > /dev/null
|
||||
|
||||
handlers:
|
||||
console:
|
||||
class: logging.StreamHandler
|
||||
level: DEBUG
|
||||
formatter: pai_k8sdp
|
||||
stream: ext://sys.stdout
|
||||
|
||||
loggers:
|
||||
unittest_module:
|
||||
level: INFO
|
||||
handler: [console]
|
||||
propagate: no
|
||||
echo "Call stop script to stop all service first"
|
||||
/bin/bash stop.sh || exit $?
|
||||
|
||||
|
||||
root:
|
||||
level: INFO
|
||||
handlers: [console]
|
||||
popd > /dev/null
|
||||
|
|
@ -0,0 +1,107 @@
|
|||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
# MIT License
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
|
||||
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation
|
||||
# the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
|
||||
# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
|
||||
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
|
||||
# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
|
||||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
apiVersion: apps/v1
|
||||
kind: DaemonSet
|
||||
metadata:
|
||||
name: job-exporter
|
||||
spec:
|
||||
selector:
|
||||
matchLabels:
|
||||
app: job-exporter
|
||||
template:
|
||||
metadata:
|
||||
labels:
|
||||
app: job-exporter
|
||||
annotations:
|
||||
prometheus.io/scrape: "true"
|
||||
prometheus.io/path: "/"
|
||||
prometheus.io/port: "{{ cluster_cfg["job-exporter"]["port"] }}"
|
||||
name: job-exporter
|
||||
spec:
|
||||
containers:
|
||||
- image: {{ cluster_cfg["cluster"]["docker-registry"]["prefix"] }}job-exporter:{{ cluster_cfg["cluster"]["docker-registry"]["tag"] }}
|
||||
imagePullPolicy: Always
|
||||
readinessProbe:
|
||||
tcpSocket: # because http get will trigger job-exporter abandom old metrics, so we use tcp instead of http
|
||||
port: {{ cluster_cfg["job-exporter"]["port"] }}
|
||||
initialDelaySeconds: 3
|
||||
periodSeconds: 30
|
||||
command:
|
||||
- "python"
|
||||
- "/job_exporter/main.py"
|
||||
- "--port"
|
||||
- "{{ cluster_cfg["job-exporter"]["port"] }}"
|
||||
- "--interval"
|
||||
- "{{ cluster_cfg["prometheus"]["scrape_interval"] }}"
|
||||
- "--interface"
|
||||
- "{{ cluster_cfg["job-exporter"]["interface"] }}"
|
||||
resources:
|
||||
limits:
|
||||
memory: "128Mi"
|
||||
securityContext:
|
||||
privileged: true # this is required since job-exporter will call setns to other containers
|
||||
env:
|
||||
- name: HOST_IP
|
||||
valueFrom:
|
||||
fieldRef:
|
||||
fieldPath: status.hostIP
|
||||
- name: LOGGING_LEVEL
|
||||
value: {{ cluster_cfg["job-exporter"]["logging-level"] }}
|
||||
- name: NV_DRIVER
|
||||
value: /var/drivers/nvidia/current
|
||||
volumeMounts:
|
||||
- mountPath: /var/run/docker.sock
|
||||
name: docker-socket
|
||||
- mountPath: /dev
|
||||
name: device-mount
|
||||
- mountPath: /var/drivers/nvidia/current
|
||||
name: driver-path
|
||||
- mountPath: /datastorage/prometheus
|
||||
name: collector-mount
|
||||
- mountPath: /gpu-config
|
||||
name: gpu-config
|
||||
name: job-exporter
|
||||
ports:
|
||||
- containerPort: {{ cluster_cfg["job-exporter"]["port"] }}
|
||||
hostPort: {{ cluster_cfg["job-exporter"]["port"] }}
|
||||
name: main
|
||||
volumes:
|
||||
- name: docker-socket
|
||||
hostPath:
|
||||
path: /var/run/docker.sock
|
||||
- name: device-mount
|
||||
hostPath:
|
||||
path: /dev
|
||||
- name: driver-path
|
||||
hostPath:
|
||||
path: /var/drivers/nvidia/current
|
||||
- name: collector-mount
|
||||
hostPath:
|
||||
path: {{ cluster_cfg["cluster"]["common"]["data-path"] }}/prometheus
|
||||
- name: gpu-config
|
||||
configMap:
|
||||
name: gpu-configuration
|
||||
imagePullSecrets:
|
||||
- name: {{ cluster_cfg["cluster"]["docker-registry"]["secret-name"] }}
|
||||
hostNetwork: true
|
||||
hostPID: true # This is required since job-exporter should get list of pid in container
|
||||
tolerations:
|
||||
- key: node.kubernetes.io/memory-pressure
|
||||
operator: "Exists"
|
||||
- key: node.kubernetes.io/disk-pressure
|
||||
operator: "Exists"
|
||||
|
|
@ -0,0 +1,25 @@
|
|||
#!/bin/bash
|
||||
|
||||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
# MIT License
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
|
||||
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation
|
||||
# the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
|
||||
# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
|
||||
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
|
||||
# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
|
||||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
|
||||
pushd $(dirname "$0") > /dev/null
|
||||
|
||||
|
||||
|
||||
popd > /dev/null
|
||||
|
|
@ -0,0 +1,33 @@
|
|||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
# MIT License
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
|
||||
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation
|
||||
# the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
|
||||
# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
|
||||
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
|
||||
# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
|
||||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
prerequisite:
|
||||
- cluster-configuration
|
||||
- drivers
|
||||
|
||||
template-list:
|
||||
- job-exporter.yaml
|
||||
|
||||
start-script: start.sh
|
||||
stop-script: stop.sh
|
||||
delete-script: delete.sh
|
||||
refresh-script: refresh.sh
|
||||
upgraded-script: upgraded.sh
|
||||
|
||||
|
||||
deploy-rules:
|
||||
- notin: no-jobexporter
|
||||
|
|
@ -0,0 +1,29 @@
|
|||
#!/bin/bash
|
||||
|
||||
#!/bin/bash
|
||||
|
||||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
# MIT License
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
|
||||
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation
|
||||
# the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
|
||||
# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
|
||||
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
|
||||
# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
|
||||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
pushd $(dirname "$0") > /dev/null
|
||||
|
||||
kubectl apply --overwrite=true -f job-exporter.yaml || exit $?
|
||||
|
||||
# Wait until the service is ready.
|
||||
PYTHONPATH="../../../deployment" python -m k8sPaiLibrary.monitorTool.check_pod_ready_status -w -k app -v job-exporter || exit $?
|
||||
|
||||
popd > /dev/null
|
||||
|
|
@ -0,0 +1,22 @@
|
|||
#!/bin/sh
|
||||
|
||||
#!/bin/bash
|
||||
|
||||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
# MIT License
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
|
||||
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation
|
||||
# the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
|
||||
# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
|
||||
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
|
||||
# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
|
||||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
kubectl delete --ignore-not-found --now "daemonset/job-exporter"
|
||||
|
|
@ -0,0 +1,617 @@
|
|||
#!/usr/bin/env python3
|
||||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
# MIT License
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
|
||||
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation
|
||||
# the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
|
||||
# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
|
||||
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
|
||||
# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
|
||||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
import re
|
||||
import datetime
|
||||
import logging
|
||||
import threading
|
||||
import subprocess
|
||||
import time
|
||||
import copy
|
||||
|
||||
from prometheus_client import make_wsgi_app, Counter, Gauge, Histogram
|
||||
from prometheus_client.core import GaugeMetricFamily
|
||||
|
||||
import network
|
||||
import utils
|
||||
import docker_inspect
|
||||
import docker_stats
|
||||
import nvidia
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
##### collector will generate following metrics
|
||||
# Document about these metrics is in `` # TODO
|
||||
|
||||
iteration_counter = Counter("collector_iteration_count", "total number of iteration",
|
||||
["name"])
|
||||
|
||||
def gen_docker_daemon_counter():
|
||||
return GaugeMetricFamily("docker_daemon_count",
|
||||
"count of docker daemon",
|
||||
labels=["error"])
|
||||
|
||||
def gen_gpu_util_gauge():
|
||||
return GaugeMetricFamily("nvidiasmi_utilization_gpu",
|
||||
"gpu core utilization of card",
|
||||
labels=["minor_number"])
|
||||
|
||||
def gen_gpu_mem_util_gauge():
|
||||
return GaugeMetricFamily("nvidiasmi_utilization_memory",
|
||||
"gpu memory utilization of card",
|
||||
labels=["minor_number"])
|
||||
|
||||
|
||||
class ResourceGauges(object):
|
||||
def __init__(self):
|
||||
self.task_labels = [
|
||||
"container_env_PAI_TASK_INDEX",
|
||||
"container_label_PAI_CURRENT_TASK_ROLE_NAME",
|
||||
"container_label_PAI_HOSTNAME",
|
||||
"container_label_PAI_JOB_NAME",
|
||||
"container_label_PAI_USER_NAME"
|
||||
]
|
||||
self.service_labels = ["name"]
|
||||
|
||||
self.task_labels_gpu = copy.deepcopy(self.task_labels)
|
||||
self.task_labels_gpu.append("minor_number")
|
||||
|
||||
self.gauges = {}
|
||||
|
||||
self.add_task_and_service_gauge("{0}_cpu_percent",
|
||||
"how much percent of cpu this {0} used")
|
||||
self.add_task_and_service_gauge("{0}_mem_usage_byte",
|
||||
"how much memory this {0} used")
|
||||
self.add_task_and_service_gauge("{0}_mem_usage_percent",
|
||||
"how much percent of memory this {0} used")
|
||||
self.add_task_and_service_gauge("{0}_mem_limit_byte",
|
||||
"how much memory this {0} are constrained to")
|
||||
self.add_task_and_service_gauge("{0}_net_in_byte",
|
||||
"how much network inbound this task used")
|
||||
self.add_task_and_service_gauge("{0}_net_out_byte",
|
||||
"how much network outbound this {0} used")
|
||||
self.add_task_and_service_gauge("{0}_block_in_byte",
|
||||
"how much block inbound this {0} used")
|
||||
self.add_task_and_service_gauge("{0}_block_out_byte",
|
||||
"how much block outbound this {0} used")
|
||||
|
||||
self.add_gauge("task_gpu_percent",
|
||||
"how much percent of gpu core this task used",
|
||||
self.task_labels_gpu)
|
||||
self.add_gauge("task_gpu_mem_percent",
|
||||
"how much percent of gpu memory this task used",
|
||||
self.task_labels_gpu)
|
||||
|
||||
def add_task_and_service_gauge(self, name_tmpl, desc_tmpl):
|
||||
self.add_gauge(
|
||||
name_tmpl.format("task"),
|
||||
desc_tmpl.format("task"),
|
||||
self.task_labels)
|
||||
|
||||
self.add_gauge(
|
||||
name_tmpl.format("service"),
|
||||
desc_tmpl.format("service"),
|
||||
self.service_labels)
|
||||
|
||||
def add_gauge(self, name, desc, labels):
|
||||
self.gauges[name] = GaugeMetricFamily(name, desc, labels=labels)
|
||||
|
||||
def add_value(self, metric_name, labels, val):
|
||||
if metric_name not in self.gauges:
|
||||
raise RuntimeError(
|
||||
"{0} not found in gauges, all gauge names is {1}".format(
|
||||
metric_name, ",".join(self.gauges.keys())))
|
||||
|
||||
gauge = self.gauges[metric_name]
|
||||
|
||||
# because prometheus library requires label provided as array, we
|
||||
# preprocess the labels and check any missing labels
|
||||
label_array = [None] * len(gauge._labelnames)
|
||||
|
||||
for k, v in labels.items():
|
||||
try:
|
||||
index = gauge._labelnames.index(k)
|
||||
label_array[index] = v
|
||||
except ValueError:
|
||||
logger.warning("unknown label %s with value %s for metrics %s",
|
||||
k, v, metric_name)
|
||||
continue
|
||||
|
||||
for i, label_val in enumerate(label_array):
|
||||
if label_val is None:
|
||||
logger.error(
|
||||
"not provided %s as label value for metric %s, ignore this metric",
|
||||
gauge._labelnames[i], metric_name)
|
||||
return
|
||||
|
||||
gauge.add_metric(label_array, val)
|
||||
|
||||
def as_array(self):
|
||||
return self.gauges.values()
|
||||
|
||||
#####
|
||||
|
||||
class AtomicRef(object):
|
||||
""" a thread safe way to store and get object,
|
||||
should not modify data get from this ref """
|
||||
def __init__(self):
|
||||
self.data = None
|
||||
self.lock = threading.RLock()
|
||||
|
||||
def get_and_set(self, new_data):
|
||||
data = None
|
||||
with self.lock:
|
||||
data, self.data = self.data, new_data
|
||||
return data
|
||||
|
||||
def get(self):
|
||||
with self.lock:
|
||||
return self.data
|
||||
|
||||
|
||||
class Collector(object):
|
||||
""" collector is a model running in thread and responsible for collecting
|
||||
some metrics, we use thread because we do not want to let hanging in one
|
||||
collector can not have impact on other collectors. This is base class,
|
||||
real collector should inhernit this class and implement collect_impl,
|
||||
metrics are returned as an array."""
|
||||
def __init__(self, name, sleep_time, atomic_ref, iteration_counter):
|
||||
self.name = name
|
||||
self.sleep_time = sleep_time
|
||||
self.atomic_ref = atomic_ref
|
||||
self.iteration_counter = iteration_counter
|
||||
|
||||
histogram_key = "collector_%s_iteration_lantecy_seconds" % self.name
|
||||
histogram_desc = "latency for execute one interation of %s collector (seconds)" % \
|
||||
self.name
|
||||
self.collector_histogram = Histogram(histogram_key, histogram_desc)
|
||||
|
||||
logger.debug("init %s with sleep_time %d", self.name, self.sleep_time)
|
||||
|
||||
def collect(self):
|
||||
while True:
|
||||
logger.debug("collecting metrics from %s", self.name)
|
||||
|
||||
with self.collector_histogram.time():
|
||||
self.iteration_counter.labels(name=self.name).inc()
|
||||
try:
|
||||
self.atomic_ref.get_and_set(self.collect_impl())
|
||||
except Exception as e:
|
||||
logger.exception("%s collector get an exception", self.name)
|
||||
|
||||
logger.debug("finished collect metrcis from %s, will sleep for %s",
|
||||
self.name, self.sleep_time)
|
||||
|
||||
time.sleep(self.sleep_time)
|
||||
|
||||
def collect_impl(self):
|
||||
""" implementations are expected to return an array of
|
||||
prometheus_client's metrics or None on exception """
|
||||
pass
|
||||
|
||||
|
||||
def instantiate_collector(name, sleep_time, collector_class, *args):
|
||||
""" test cases helper fn to instantiate a collector """
|
||||
atomic_ref = AtomicRef()
|
||||
return atomic_ref, collector_class(name, sleep_time, atomic_ref, iteration_counter, *args)
|
||||
|
||||
|
||||
def make_collector(name, sleep_time, collector_class, *args):
|
||||
""" other module should use this fn to init a collector, this fn start a thread
|
||||
to run the collector and return an atomic_ref so outside world can get metrics
|
||||
collected by this collector """
|
||||
atomic_ref, instance = instantiate_collector(name, sleep_time, collector_class, *args)
|
||||
|
||||
t = threading.Thread(
|
||||
target=instance.collect,
|
||||
name=name,
|
||||
args=(),
|
||||
daemon=True)
|
||||
|
||||
t.start()
|
||||
|
||||
return atomic_ref
|
||||
|
||||
|
||||
class DockerCollector(Collector):
|
||||
cmd_histogram = Histogram("cmd_docker_active_latency_seconds",
|
||||
"Command call latency for checking docker daemon activeness (seconds)")
|
||||
|
||||
cmd_timeout = 1 # 99th latency is 0.01s
|
||||
|
||||
def collect_impl(self):
|
||||
cmd = """
|
||||
systemctl is-active docker > /dev/null 2>&1 ;
|
||||
if [ $? -eq 0 ]; then echo "true"; else echo "false" ; fi
|
||||
"""
|
||||
error = "ok"
|
||||
|
||||
try:
|
||||
out = utils.exec_cmd(cmd, shell=True,
|
||||
histogram=DockerCollector.cmd_histogram,
|
||||
timeout=DockerCollector.cmd_timeout)
|
||||
|
||||
if "true" not in str(out):
|
||||
error = "inactive"
|
||||
except subprocess.CalledProcessError as e:
|
||||
logger.exception("command '%s' return with error (code %d): %s",
|
||||
cmd, e.returncode, e.output)
|
||||
error = e.strerror()
|
||||
except subprocess.TimeoutExpired as e:
|
||||
logging.warning("check docker active timeout")
|
||||
error = "timeout"
|
||||
except Exception as e:
|
||||
error = e.strerror()
|
||||
|
||||
counter = gen_docker_daemon_counter()
|
||||
counter.add_metric([error], 1)
|
||||
|
||||
return [counter]
|
||||
|
||||
|
||||
class GpuCollector(Collector):
|
||||
cmd_histogram = Histogram("cmd_nvidia_smi_latency_seconds",
|
||||
"Command call latency for nvidia-smi (seconds)")
|
||||
|
||||
cmd_timeout = 3 # 99th latency is 0.97s
|
||||
|
||||
def __init__(self, name, sleep_time, atomic_ref, iteration_counter, gpu_info_ref):
|
||||
Collector.__init__(self, name, sleep_time, atomic_ref, iteration_counter)
|
||||
self.gpu_info_ref = gpu_info_ref
|
||||
|
||||
def collect_impl(self):
|
||||
gpu_info = nvidia.nvidia_smi(GpuCollector.cmd_histogram,
|
||||
GpuCollector.cmd_timeout)
|
||||
|
||||
logging.debug("get gpu_info %s", gpu_info)
|
||||
|
||||
self.gpu_info_ref.get_and_set(gpu_info)
|
||||
|
||||
if gpu_info is not None:
|
||||
core_utils = gen_gpu_util_gauge()
|
||||
mem_utils = gen_gpu_mem_util_gauge()
|
||||
|
||||
for minor, info in gpu_info.items():
|
||||
core_utils.add_metric([minor], info["gpu_util"])
|
||||
mem_utils.add_metric([minor], info["gpu_mem_util"])
|
||||
|
||||
return [core_utils, mem_utils]
|
||||
|
||||
return None
|
||||
|
||||
|
||||
class ContainerCollector(Collector):
|
||||
stats_histogram = Histogram("cmd_docker_stats_latency_seconds",
|
||||
"Command call latency for docker stats (seconds)")
|
||||
stats_timeout = 20
|
||||
# 99th latency may larger than 10s,
|
||||
# Because prometheus's largest bucket for recording histogram is 10s,
|
||||
# we can not get value higher than 10s.
|
||||
|
||||
inspect_histogram = Histogram("cmd_docker_inspect_latency_seconds",
|
||||
"Command call latency for docker inspect (seconds)")
|
||||
inspect_timeout = 1 # 99th latency is 0.042s
|
||||
|
||||
iftop_histogram = Histogram("cmd_iftop_latency_seconds",
|
||||
"Command call latency for iftop (seconds)")
|
||||
iftop_timeout = 10 # 99th latency is 7.4s
|
||||
|
||||
lsof_histogram = Histogram("cmd_lsof_latency_seconds",
|
||||
"Command call latency for lsof (seconds)")
|
||||
lsof_timeout = 2 # 99th latency is 0.5s
|
||||
|
||||
pai_services = list(map(lambda s: "k8s_" + s, [
|
||||
"rest-server",
|
||||
"pylon",
|
||||
"webportal",
|
||||
"grafana",
|
||||
"prometheus",
|
||||
"alertmanager",
|
||||
"watchdog",
|
||||
"end-to-end-test",
|
||||
"yarn-frameworklauncher",
|
||||
"hadoop-jobhistory-service",
|
||||
"hadoop-name-node",
|
||||
"hadoop-node-manager",
|
||||
"hadoop-resource-manager",
|
||||
"hadoop-data-node",
|
||||
"zookeeper",
|
||||
"node-exporter",
|
||||
"job-exporter",
|
||||
"yarn-exporter",
|
||||
"nvidia-drivers"
|
||||
]))
|
||||
|
||||
def __init__(self, name, sleep_time, atomic_ref, iteration_counter, gpu_info_ref,
|
||||
stats_info_ref, interface):
|
||||
Collector.__init__(self, name, sleep_time, atomic_ref, iteration_counter)
|
||||
self.gpu_info_ref = gpu_info_ref
|
||||
self.stats_info_ref = stats_info_ref
|
||||
|
||||
self.network_interface = network.try_to_get_right_interface(interface)
|
||||
logger.info("found %s as potential network interface to listen network traffic",
|
||||
self.network_interface)
|
||||
|
||||
# k8s will prepend "k8s_" to pod name. There will also be a container name
|
||||
# prepend with "k8s_POD_" which is a docker container used to construct
|
||||
# network & pid namespace for specific container. These container prepend
|
||||
# with "k8s_POD" consume nothing.
|
||||
|
||||
def collect_impl(self):
|
||||
all_conns = network.iftop(self.network_interface,
|
||||
ContainerCollector.iftop_histogram,
|
||||
ContainerCollector.iftop_timeout)
|
||||
|
||||
# set it to None so if nvidia-smi hangs till next time we get,
|
||||
# we will get None
|
||||
gpu_infos = self.gpu_info_ref.get_and_set(None)
|
||||
|
||||
stats_obj = docker_stats.stats(ContainerCollector.stats_histogram,
|
||||
ContainerCollector.stats_timeout)
|
||||
self.stats_info_ref.get_and_set(stats_obj)
|
||||
|
||||
logger.debug("all_conns is %s, gpu_info is %s, stats_obj is %s",
|
||||
all_conns, gpu_infos, stats_obj)
|
||||
|
||||
return self.collect_container_metrics(stats_obj, gpu_infos, all_conns)
|
||||
|
||||
@staticmethod
|
||||
def parse_from_labels(labels):
|
||||
gpu_ids = []
|
||||
other_labels = {}
|
||||
|
||||
for key, val in labels.items():
|
||||
if "container_label_GPU_ID" == key:
|
||||
s2 = val.replace("\"", "").split(",")
|
||||
for id in s2:
|
||||
if id:
|
||||
gpu_ids.append(id)
|
||||
else:
|
||||
other_labels[key] = val
|
||||
|
||||
return gpu_ids, other_labels
|
||||
|
||||
@classmethod
|
||||
def infer_service_name(cls, container_name):
|
||||
""" try to infer service name from container_name, if it's container not belongs
|
||||
to pai service, will return None """
|
||||
if container_name.startswith("k8s_POD_"):
|
||||
# this is empty container created by k8s for pod
|
||||
return None
|
||||
|
||||
# TODO speed this up, since this is O(n^2)
|
||||
for service_name in cls.pai_services:
|
||||
if container_name.startswith(service_name):
|
||||
return service_name[4:] # remove "k8s_" prefix
|
||||
|
||||
return None
|
||||
|
||||
def process_one_container(self, container_id, stats, gpu_infos, all_conns, gauges):
|
||||
container_name = utils.walk_json_field_safe(stats, "name")
|
||||
pai_service_name = ContainerCollector.infer_service_name(container_name)
|
||||
|
||||
inspect_info = docker_inspect.inspect(container_id,
|
||||
ContainerCollector.inspect_histogram,
|
||||
ContainerCollector.inspect_timeout)
|
||||
|
||||
pid = utils.walk_json_field_safe(inspect_info, "pid")
|
||||
inspect_labels = utils.walk_json_field_safe(inspect_info, "labels")
|
||||
|
||||
logger.debug("%s has pid %s, labels %s, service_name %s",
|
||||
container_name, pid, inspect_labels, pai_service_name)
|
||||
|
||||
if not inspect_labels and pai_service_name is None:
|
||||
logger.debug("%s is ignored", container_name)
|
||||
return # other container, maybe kubelet or api-server
|
||||
|
||||
# get network consumption, since all our services/jobs running in host
|
||||
# network, and network statistic from docker is not specific to that
|
||||
# container. We have to get network statistic by ourselves.
|
||||
lsof_result = network.lsof(pid,
|
||||
ContainerCollector.lsof_histogram,
|
||||
ContainerCollector.lsof_timeout)
|
||||
|
||||
net_in, net_out = network.get_container_network_metrics(all_conns,
|
||||
lsof_result)
|
||||
if logger.isEnabledFor(logging.DEBUG):
|
||||
debug_info = utils.exec_cmd(
|
||||
"ps -o cmd fp {0} | tail -n 1".format(pid),
|
||||
shell=True)
|
||||
|
||||
logger.debug("pid %s with cmd `%s` has lsof result %s, in %d, out %d",
|
||||
pid, debug_info.strip(), lsof_result, net_in, net_out)
|
||||
|
||||
if pai_service_name is None:
|
||||
gpu_ids, container_labels = ContainerCollector.parse_from_labels(inspect_info["labels"])
|
||||
container_labels.update(inspect_info["env"])
|
||||
|
||||
if gpu_infos:
|
||||
for id in gpu_ids:
|
||||
labels = copy.deepcopy(container_labels)
|
||||
labels["minor_number"] = id
|
||||
|
||||
gauges.add_value("task_gpu_percent",
|
||||
labels, gpu_infos[id]["gpu_util"])
|
||||
gauges.add_value("task_gpu_mem_percent",
|
||||
labels, gpu_infos[id]["gpu_mem_util"])
|
||||
|
||||
gauges.add_value("task_cpu_percent", container_labels, stats["CPUPerc"])
|
||||
gauges.add_value("task_mem_usage_byte", container_labels, stats["MemUsage_Limit"]["usage"])
|
||||
gauges.add_value("task_mem_limit_byte", container_labels, stats["MemUsage_Limit"]["limit"])
|
||||
gauges.add_value("task_net_in_byte", container_labels, net_in)
|
||||
gauges.add_value("task_net_out_byte", container_labels, net_out)
|
||||
gauges.add_value("task_block_in_byte", container_labels, stats["BlockIO"]["in"])
|
||||
gauges.add_value("task_block_out_byte", container_labels, stats["BlockIO"]["out"])
|
||||
gauges.add_value("task_mem_usage_percent", container_labels, stats["MemPerc"])
|
||||
else:
|
||||
labels = {"name": pai_service_name}
|
||||
gauges.add_value("service_cpu_percent", labels, stats["CPUPerc"])
|
||||
gauges.add_value("service_mem_usage_byte", labels, stats["MemUsage_Limit"]["usage"])
|
||||
gauges.add_value("service_mem_limit_byte", labels, stats["MemUsage_Limit"]["limit"])
|
||||
gauges.add_value("service_mem_usage_percent", labels, stats["MemPerc"])
|
||||
gauges.add_value("service_net_in_byte", labels, net_in)
|
||||
gauges.add_value("service_net_out_byte", labels, net_out)
|
||||
gauges.add_value("service_block_in_byte", labels, stats["BlockIO"]["in"])
|
||||
gauges.add_value("service_block_out_byte", labels, stats["BlockIO"]["out"])
|
||||
|
||||
def collect_container_metrics(self, stats_obj, gpu_infos, all_conns):
|
||||
if stats_obj is None:
|
||||
logger.warning("docker stats returns None")
|
||||
return None
|
||||
|
||||
gauges = ResourceGauges()
|
||||
|
||||
for container_id, stats in stats_obj.items():
|
||||
try:
|
||||
self.process_one_container(container_id, stats, gpu_infos, all_conns, gauges)
|
||||
except Exception:
|
||||
logging.exception("error when trying to process container %s with name %s",
|
||||
container_id, utils.walk_json_field_safe(stats, "name"))
|
||||
|
||||
return gauges.as_array()
|
||||
|
||||
|
||||
class ZombieCollector(Collector):
|
||||
logs_histogram = Histogram("cmd_docker_logs_latency_seconds",
|
||||
"Command call latency for docker logs (seconds)")
|
||||
logs_timeout = 1 # 99th latency is 0.04s
|
||||
|
||||
zombie_container_count = Gauge("zombie_container_count",
|
||||
"number of zombie container found for this node",
|
||||
["type"])
|
||||
|
||||
class ZombieRecorder(object):
|
||||
def __init__(self, type):
|
||||
self.type = type
|
||||
self.zombies = {} # key is container id, value is enter zombie time
|
||||
|
||||
# When we first meet zombie container, we only record time of that meet,
|
||||
# we wait extra decay_time to report it as zombie. Because at the time
|
||||
# of our recording, zombie just produced, and haven't been recycled, we
|
||||
# wait 5 minutes to avoid possible cases of normal zombie.
|
||||
self.decay_time = datetime.timedelta(minutes=5)
|
||||
|
||||
def update(self, zombie_ids, now):
|
||||
""" feed in new zombie ids and get count of decayed zombie """
|
||||
# remove all records not exist anymore
|
||||
for z_id in list(self.zombies.keys()):
|
||||
if z_id not in zombie_ids:
|
||||
logger.debug("pop zombie %s that not exist anymore", z_id)
|
||||
self.zombies.pop(z_id)
|
||||
|
||||
count = 0
|
||||
for current in zombie_ids:
|
||||
if current in self.zombies:
|
||||
enter_zombie_time = self.zombies[current]
|
||||
if now - enter_zombie_time > self.decay_time:
|
||||
count += 1
|
||||
else:
|
||||
logger.debug("new zombie %s", current)
|
||||
self.zombies[current] = now
|
||||
|
||||
ZombieCollector.zombie_container_count.labels(self.type).set(count)
|
||||
return count # for test
|
||||
|
||||
def __len__(self):
|
||||
return len(self.zombies)
|
||||
|
||||
def __init__(self, name, sleep_time, atomic_ref, iteration_counter, stats_info_ref):
|
||||
Collector.__init__(self, name, sleep_time, atomic_ref, iteration_counter)
|
||||
self.stats_info_ref = stats_info_ref
|
||||
|
||||
self.type1_zombies = ZombieCollector.ZombieRecorder("job_exit_hangs")
|
||||
self.type2_zombies = ZombieCollector.ZombieRecorder("residual_job")
|
||||
|
||||
self.yarn_pattern = u"container_\w{3}_[0-9]{13}_[0-9]{4}_[0-9]{2}_[0-9]{6}"
|
||||
self.yarn_container_reg = re.compile(u"^" + self.yarn_pattern + "$")
|
||||
self.job_container_reg = re.compile(u"^.+(" + self.yarn_pattern + u")$")
|
||||
|
||||
def update_zombie_count_type1(self, exited_containers, now):
|
||||
""" this fn will generate zombie container count for the first type,
|
||||
exited_containers is container id set of which we believe exited """
|
||||
return self.type1_zombies.update(exited_containers, now)
|
||||
|
||||
def update_zombie_count_type2(self, stats, now):
|
||||
""" this fn will generate zombie container count for the second type """
|
||||
names = set([info["name"] for info in stats.values()])
|
||||
|
||||
job_containers = {} # key is original name, value is corresponding yarn_container name
|
||||
yarn_containers = set()
|
||||
|
||||
zombie_ids = set()
|
||||
|
||||
for name in names:
|
||||
if re.match(self.yarn_container_reg, name) is not None:
|
||||
yarn_containers.add(name)
|
||||
elif re.match(self.job_container_reg, name) is not None:
|
||||
match = re.match(self.job_container_reg, name)
|
||||
value = match.groups()[0]
|
||||
job_containers[name] = value
|
||||
else:
|
||||
pass # ignore
|
||||
|
||||
for job_name, yarn_name in job_containers.items():
|
||||
if yarn_name not in yarn_containers:
|
||||
zombie_ids.add(job_name)
|
||||
|
||||
return self.type2_zombies.update(zombie_ids, now)
|
||||
|
||||
def docker_logs(self, container_id, tail="all"):
|
||||
try:
|
||||
return utils.exec_cmd(
|
||||
["docker", "logs", "--tail", str(tail), str(container_id)],
|
||||
histogram=ZombieCollector.logs_histogram,
|
||||
stderr=subprocess.STDOUT, # also capture stderr output
|
||||
timeout=ZombieCollector.logs_timeout)
|
||||
except subprocess.TimeoutExpired as e:
|
||||
logger.warning("docker log timeout")
|
||||
except subprocess.CalledProcessError as e:
|
||||
logger.warning("docker logs returns %d, output %s", e.returncode, e.output)
|
||||
except Exception:
|
||||
logger.exception("exec docker logs error")
|
||||
|
||||
return ""
|
||||
|
||||
def is_container_exited(self, container_id):
|
||||
logs = self.docker_logs(container_id, tail=50)
|
||||
if re.search(u"USER COMMAND END", logs):
|
||||
return True
|
||||
return False
|
||||
|
||||
def update_zombie_count(self, stats):
|
||||
"""
|
||||
There are two types of zombie:
|
||||
1. container which outputed "USER COMMAND END" but did not exist for a long period of time
|
||||
2. yarn container exited but job container didn't
|
||||
"""
|
||||
if stats is None:
|
||||
logging.warning("docker stats is None")
|
||||
return
|
||||
|
||||
exited_containers = set(filter(self.is_container_exited, stats.keys()))
|
||||
|
||||
now = datetime.datetime.now()
|
||||
self.update_zombie_count_type1(exited_containers, now)
|
||||
self.update_zombie_count_type2(stats, now)
|
||||
|
||||
def collect_impl(self):
|
||||
# set it to None so if docker-stats hangs till next time we get,
|
||||
# we will get None
|
||||
stats_info = self.stats_info_ref.get_and_set(None)
|
||||
self.update_zombie_count(stats_info)
|
||||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/python
|
||||
#!/usr/bin/env python3
|
||||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
|
|
@ -25,8 +25,8 @@ import utils
|
|||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
targetLabel = {"PAI_HOSTNAME", "PAI_JOB_NAME", "PAI_USER_NAME", "PAI_CURRENT_TASK_ROLE_NAME", "GPU_ID"}
|
||||
targetEnv = {"PAI_TASK_INDEX"}
|
||||
target_label = {"PAI_HOSTNAME", "PAI_JOB_NAME", "PAI_USER_NAME", "PAI_CURRENT_TASK_ROLE_NAME", "GPU_ID"}
|
||||
target_env = {"PAI_TASK_INDEX"}
|
||||
|
||||
|
||||
def parse_docker_inspect(inspect_output):
|
||||
|
|
@ -37,39 +37,35 @@ def parse_docker_inspect(inspect_output):
|
|||
obj_labels = utils.walk_json_field_safe(obj, 0, "Config", "Labels")
|
||||
if obj_labels is not None:
|
||||
for key in obj_labels:
|
||||
if key in targetLabel:
|
||||
labelKey = "container_label_{0}".format(key.replace(".", "_"))
|
||||
labelVal = obj_labels[key]
|
||||
labels[labelKey] = labelVal
|
||||
if key in target_label:
|
||||
label_key = "container_label_{0}".format(key.replace(".", "_"))
|
||||
label_val = obj_labels[key]
|
||||
labels[label_key] = label_val
|
||||
|
||||
obj_env = utils.walk_json_field_safe(obj, 0, "Config", "Env")
|
||||
if obj_env:
|
||||
for env in obj_env:
|
||||
envItem = env.split("=")
|
||||
if envItem[0] in targetEnv:
|
||||
envKey = "container_env_{0}".format(envItem[0].replace(".", "_"))
|
||||
envVal = envItem[1]
|
||||
envs[envKey] = envVal
|
||||
env_item = env.split("=")
|
||||
if env_item[0] in target_env:
|
||||
key = "container_env_{0}".format(env_item[0].replace(".", "_"))
|
||||
val = env_item[1]
|
||||
envs[key] = val
|
||||
|
||||
pid = utils.walk_json_field_safe(obj, 0, "State", "Pid")
|
||||
|
||||
return {"env": envs, "labels": labels, "pid": pid}
|
||||
|
||||
def inspect(containerId):
|
||||
def inspect(container_id, histogram, timeout):
|
||||
try:
|
||||
logger.debug("ready to run docker inspect")
|
||||
dockerDockerInspect = utils.check_output(["docker", "inspect", containerId])
|
||||
inspectInfo = parse_docker_inspect(dockerDockerInspect)
|
||||
|
||||
return inspectInfo
|
||||
result = utils.exec_cmd(
|
||||
["docker", "inspect", container_id],
|
||||
histogram=histogram,
|
||||
timeout=timeout)
|
||||
return parse_docker_inspect(result)
|
||||
except subprocess.CalledProcessError as e:
|
||||
logger.exception("command '%s' return with error (code %d): %s",
|
||||
e.cmd, e.returncode, e.output)
|
||||
|
||||
def main(argv):
|
||||
containerId = argv[0]
|
||||
print inspect(containerId)
|
||||
|
||||
# execute cmd example: python .\docker_inspect.py 33a22dcd4ba3
|
||||
if __name__ == "__main__":
|
||||
main(sys.argv[1:])
|
||||
except subprocess.TimeoutExpired:
|
||||
logger.warning("docker inspect timeout")
|
||||
except Exception:
|
||||
logger.exception("exec docker inspect error")
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/python
|
||||
#!/usr/bin/env python3
|
||||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
|
|
@ -17,10 +17,8 @@
|
|||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
import subprocess
|
||||
import json
|
||||
import sys
|
||||
import re
|
||||
import datetime
|
||||
import logging
|
||||
|
||||
import utils
|
||||
|
|
@ -28,7 +26,7 @@ import utils
|
|||
logger = logging.getLogger(__name__)
|
||||
|
||||
def parse_percentile(data):
|
||||
return data.replace("%", "")
|
||||
return float(data.replace("%", ""))
|
||||
|
||||
def parse_io(data):
|
||||
inOut = data.split("/")
|
||||
|
|
@ -65,14 +63,13 @@ def convert_to_byte(data):
|
|||
return number
|
||||
|
||||
def parse_docker_stats(stats):
|
||||
data = [line.split(',') for line in stats.splitlines()]
|
||||
data = [line.split(",") for line in stats.splitlines()]
|
||||
# pop the headers
|
||||
data.pop(0)
|
||||
rowNum = len(data)
|
||||
colNum = len(data[0])
|
||||
containerStats = {}
|
||||
row_count = len(data)
|
||||
container_stats = {}
|
||||
|
||||
for i in range(rowNum):
|
||||
for i in range(row_count):
|
||||
id = data[i][0]
|
||||
containerInfo = {
|
||||
"id": data[i][0],
|
||||
|
|
@ -83,26 +80,20 @@ def parse_docker_stats(stats):
|
|||
"BlockIO": parse_io(data[i][5]),
|
||||
"MemPerc": parse_percentile(data[i][6])
|
||||
}
|
||||
containerStats[id] = containerInfo
|
||||
return containerStats
|
||||
container_stats[id] = containerInfo
|
||||
return container_stats
|
||||
|
||||
def stats():
|
||||
start = datetime.datetime.now()
|
||||
def stats(histogram, timeout):
|
||||
try:
|
||||
logger.info("ready to run docker stats")
|
||||
dockerDockerStats = utils.check_output([
|
||||
result = utils.exec_cmd([
|
||||
"docker", "stats", "--no-stream", "--format",
|
||||
"table {{.Container}},{{.Name}},{{.CPUPerc}},{{.MemUsage}},{{.NetIO}},{{.BlockIO}},{{.MemPerc}}"])
|
||||
return parse_docker_stats(dockerDockerStats)
|
||||
"table {{.Container}},{{.Name}},{{.CPUPerc}},{{.MemUsage}},{{.NetIO}},{{.BlockIO}},{{.MemPerc}}"],
|
||||
histogram=histogram,
|
||||
timeout=timeout)
|
||||
return parse_docker_stats(result)
|
||||
except subprocess.CalledProcessError as e:
|
||||
logger.error("command '{}' return with error (code {}): {}".format(e.cmd, e.returncode, e.output))
|
||||
finally:
|
||||
end = datetime.datetime.now()
|
||||
logger.info("docker state spent %s", end - start)
|
||||
|
||||
def main(argv):
|
||||
stats()
|
||||
|
||||
# execute cmd example: python .\docker_stats.py True
|
||||
if __name__ == "__main__":
|
||||
main(sys.argv[1:])
|
||||
except subprocess.TimeoutExpired:
|
||||
logger.warning("docker stats timeout")
|
||||
except Exception:
|
||||
logger.exception("exec docker stats error")
|
||||
|
|
|
|||
|
|
@ -1,391 +0,0 @@
|
|||
#!/usr/bin/python
|
||||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
# MIT License
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
|
||||
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation
|
||||
# the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
|
||||
# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
|
||||
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
|
||||
# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
|
||||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
import copy
|
||||
import sys
|
||||
import time
|
||||
import logging
|
||||
import re
|
||||
import datetime
|
||||
import subprocess
|
||||
import os
|
||||
import json
|
||||
|
||||
import docker_stats
|
||||
import docker_inspect
|
||||
import gpu_exporter
|
||||
import network
|
||||
import utils
|
||||
from utils import Metric
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
# k8s will prepend "k8s_" to pod name. There will also be a container name prepend with "k8s_POD_"
|
||||
# which is a docker container used to construct network & pid namespace for specific container. These
|
||||
# container prepend with "k8s_POD" consume nothing.
|
||||
pai_services = map(lambda s: "k8s_" + s, [
|
||||
"rest-server",
|
||||
"pylon",
|
||||
"webportal",
|
||||
"grafana",
|
||||
"prometheus",
|
||||
"alertmanager",
|
||||
"watchdog",
|
||||
"end-to-end-test",
|
||||
"yarn-frameworklauncher",
|
||||
"hadoop-jobhistory-service",
|
||||
"hadoop-name-node",
|
||||
"hadoop-node-manager",
|
||||
"hadoop-resource-manager",
|
||||
"hadoop-data-node",
|
||||
"zookeeper",
|
||||
"node-exporter",
|
||||
"job-exporter",
|
||||
"yarn-exporter",
|
||||
"nvidia-drivers"
|
||||
])
|
||||
|
||||
|
||||
class ZombieRecorder(object):
|
||||
def __init__(self):
|
||||
self.zombies = {} # key is container id, value is enter zombie time
|
||||
|
||||
# When we first meet zombie container, we only record time of that meet,
|
||||
# we wait extra decay_time to report it as zombie. Because at the time
|
||||
# of our recording, zombie just produced, and haven't been recycled, we
|
||||
# wait 5 minutes to avoid possible cases of normal zombie.
|
||||
self.decay_time = datetime.timedelta(minutes=5)
|
||||
|
||||
def update(self, zombie_ids, now):
|
||||
""" feed in new zombie ids and get count of decayed zombie """
|
||||
# remove all records not exist anymore
|
||||
for z_id in self.zombies.keys():
|
||||
if z_id not in zombie_ids:
|
||||
logger.debug("pop zombie %s that not exist anymore", z_id)
|
||||
self.zombies.pop(z_id)
|
||||
|
||||
count = 0
|
||||
for current in zombie_ids:
|
||||
if current in self.zombies:
|
||||
enter_zombie_time = self.zombies[current]
|
||||
if now - enter_zombie_time > self.decay_time:
|
||||
count += 1
|
||||
else:
|
||||
logger.debug("new zombie %s", current)
|
||||
self.zombies[current] = now
|
||||
|
||||
return count
|
||||
|
||||
def __len__(self):
|
||||
return len(self.zombies)
|
||||
|
||||
|
||||
yarn_pattern = u"container_\w{3}_[0-9]{13}_[0-9]{4}_[0-9]{2}_[0-9]{6}"
|
||||
yarn_container_reg = re.compile(u"^" + yarn_pattern + "$")
|
||||
job_container_reg = re.compile(u"^.+(" + yarn_pattern + u")$")
|
||||
|
||||
|
||||
def parse_from_labels(labels):
|
||||
gpu_ids = []
|
||||
other_labels = {}
|
||||
|
||||
for key, val in labels.items():
|
||||
if "container_label_GPU_ID" == key:
|
||||
s2 = val.replace("\"", "").split(",")
|
||||
for id in s2:
|
||||
if id:
|
||||
gpu_ids.append(id)
|
||||
else:
|
||||
other_labels[key] = val
|
||||
|
||||
return gpu_ids, other_labels
|
||||
|
||||
|
||||
def generate_zombie_count_type1(type1_zombies, exited_containers, now):
|
||||
""" this fn will generate zombie container count for the first type,
|
||||
exited_containers is container id set of which we believe exited """
|
||||
return type1_zombies.update(exited_containers, now)
|
||||
|
||||
|
||||
def generate_zombie_count_type2(type2_zombies, stats, now):
|
||||
""" this fn will generate zombie container count for the second type """
|
||||
names = set([info["name"] for info in stats.values()])
|
||||
|
||||
job_containers = {} # key is original name, value is corresponding yarn_container name
|
||||
yarn_containers = set()
|
||||
|
||||
zombie_ids = set()
|
||||
|
||||
for name in names:
|
||||
if re.match(yarn_container_reg, name) is not None:
|
||||
yarn_containers.add(name)
|
||||
elif re.match(job_container_reg, name) is not None:
|
||||
match = re.match(job_container_reg, name)
|
||||
value = match.groups()[0]
|
||||
job_containers[name] = value
|
||||
else:
|
||||
pass # ignore
|
||||
|
||||
for job_name, yarn_name in job_containers.items():
|
||||
if yarn_name not in yarn_containers:
|
||||
zombie_ids.add(job_name)
|
||||
|
||||
return type2_zombies.update(zombie_ids, now)
|
||||
|
||||
|
||||
def docker_logs(container_id, tail="all"):
|
||||
try:
|
||||
return utils.check_output(["docker", "logs", "--tail", str(tail), str(container_id)])
|
||||
except subprocess.CalledProcessError as e:
|
||||
logger.exception("command '%s' return with error (code %d): %s",
|
||||
e.cmd, e.returncode, e.output)
|
||||
|
||||
|
||||
def is_container_exited(container_id):
|
||||
logs = docker_logs(container_id, tail=50)
|
||||
if logs is not None and re.search(u"USER COMMAND END", logs):
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
def generate_zombie_count(stats, type1_zombies, type2_zombies):
|
||||
"""
|
||||
There are two types of zombie:
|
||||
1. container which outputed "USER COMMAND END" but did not exist for a long period of time
|
||||
2. yarn container exited but job container didn't
|
||||
"""
|
||||
exited_containers = set(filter(is_container_exited, stats.keys()))
|
||||
logger.debug("exited_containers is %s", exited_containers)
|
||||
|
||||
now = datetime.datetime.now()
|
||||
zombie_count1 = generate_zombie_count_type1(type1_zombies, exited_containers, now)
|
||||
zombie_count2 = generate_zombie_count_type2(type2_zombies, stats, now)
|
||||
|
||||
return [Metric("zombie_container_count", {}, zombie_count1 + zombie_count2)]
|
||||
|
||||
|
||||
def collect_job_metrics(gpu_infos, all_conns, type1_zombies, type2_zombies):
|
||||
stats_obj = docker_stats.stats()
|
||||
if stats_obj is None:
|
||||
logger.warning("docker stats returns None")
|
||||
return None
|
||||
|
||||
result = []
|
||||
for container_id, stats in stats_obj.items():
|
||||
pai_service_name = None
|
||||
|
||||
# TODO speed this up, since this is O(n^2)
|
||||
for service_name in pai_services:
|
||||
if stats["name"].startswith(service_name):
|
||||
pai_service_name = service_name[4:] # remove "k8s_" prefix
|
||||
break
|
||||
|
||||
inspect_info = docker_inspect.inspect(container_id)
|
||||
pid = inspect_info["pid"] if inspect_info is not None else None
|
||||
inspect_labels = utils.walk_json_field_safe(inspect_info, "labels")
|
||||
|
||||
if not inspect_labels and pai_service_name is None:
|
||||
continue # other container, maybe kubelet or api-server
|
||||
|
||||
# get network consumption, since all our services/jobs running in host network,
|
||||
# network statistic from docker is not specific to that container. We have to
|
||||
# get network statistic by ourselves.
|
||||
lsof_result = network.lsof(pid)
|
||||
net_in, net_out = network.get_container_network_metrics(all_conns, lsof_result)
|
||||
if logger.isEnabledFor(logging.DEBUG):
|
||||
debug_info = utils.check_output("ps -o cmd fp {0} | tail -n 1".format(pid), shell=True)
|
||||
|
||||
logger.debug("pid %s with cmd `%s` has lsof result %s, in %d, out %d",
|
||||
pid, debug_info, lsof_result, net_in, net_out)
|
||||
|
||||
if pai_service_name is None:
|
||||
gpu_ids, container_labels = parse_from_labels(inspect_info["labels"])
|
||||
container_labels.update(inspect_info["env"])
|
||||
|
||||
for id in gpu_ids:
|
||||
if gpu_infos:
|
||||
labels = copy.deepcopy(container_labels)
|
||||
labels["minor_number"] = id
|
||||
|
||||
result.append(Metric("container_GPUPerc", labels, gpu_infos[id]["gpu_util"]))
|
||||
result.append(Metric("container_GPUMemPerc", labels, gpu_infos[id]["gpu_mem_util"]))
|
||||
|
||||
result.append(Metric("container_CPUPerc", container_labels, stats["CPUPerc"]))
|
||||
result.append(Metric("container_MemUsage", container_labels, stats["MemUsage_Limit"]["usage"]))
|
||||
result.append(Metric("container_MemLimit", container_labels, stats["MemUsage_Limit"]["limit"]))
|
||||
result.append(Metric("container_NetIn", container_labels, net_in))
|
||||
result.append(Metric("container_NetOut", container_labels, net_out))
|
||||
result.append(Metric("container_BlockIn", container_labels, stats["BlockIO"]["in"]))
|
||||
result.append(Metric("container_BlockOut", container_labels, stats["BlockIO"]["out"]))
|
||||
result.append(Metric("container_MemPerc", container_labels, stats["MemPerc"]))
|
||||
else:
|
||||
labels = {"name": pai_service_name}
|
||||
result.append(Metric("service_cpu_percent", labels, stats["CPUPerc"]))
|
||||
result.append(Metric("service_mem_usage_byte", labels, stats["MemUsage_Limit"]["usage"]))
|
||||
result.append(Metric("service_mem_limit_byte", labels, stats["MemUsage_Limit"]["limit"]))
|
||||
result.append(Metric("service_mem_usage_percent", labels, stats["MemPerc"]))
|
||||
result.append(Metric("service_net_in_byte", labels, net_in))
|
||||
result.append(Metric("service_net_out_byte", labels, net_out))
|
||||
result.append(Metric("service_block_in_byte", labels, stats["BlockIO"]["in"]))
|
||||
result.append(Metric("service_block_out_byte", labels, stats["BlockIO"]["out"]))
|
||||
|
||||
result.extend(generate_zombie_count(stats_obj, type1_zombies, type2_zombies))
|
||||
|
||||
return result
|
||||
|
||||
|
||||
def collect_docker_daemon_status():
|
||||
""" check docker daemon status in current host """
|
||||
cmd = "systemctl is-active docker | if [ $? -eq 0 ]; then echo \"active\"; else exit 1 ; fi"
|
||||
error = "ok"
|
||||
|
||||
try:
|
||||
logger.info("call systemctl to get docker status")
|
||||
|
||||
out = utils.check_output(cmd, shell=True)
|
||||
|
||||
if "active" not in out:
|
||||
error = "inactive"
|
||||
except subprocess.CalledProcessError as e:
|
||||
logger.exception("command '%s' return with error (code %d): %s",
|
||||
cmd, e.returncode, e.output)
|
||||
error = e.strerror()
|
||||
except OSError as e:
|
||||
if e.errno == os.errno.ENOENT:
|
||||
logger.warning("systemctl not found")
|
||||
error = e.strerror()
|
||||
|
||||
return [Metric("docker_daemon_count", {"error": error}, 1)]
|
||||
|
||||
|
||||
def get_gpu_count(path):
|
||||
hostname = os.environ.get("HOSTNAME")
|
||||
ip = os.environ.get("HOST_IP")
|
||||
|
||||
logger.info("hostname is %s, ip is %s", hostname, ip)
|
||||
|
||||
with open(path) as f:
|
||||
gpu_config = json.load(f)
|
||||
|
||||
if hostname is not None and gpu_config["nodes"].get(hostname) is not None:
|
||||
return gpu_config["nodes"][hostname]["gpuCount"]
|
||||
elif ip is not None and gpu_config["nodes"].get(ip) is not None:
|
||||
return gpu_config["nodes"][ip]["gpuCount"]
|
||||
else:
|
||||
logger.warning("failed to find gpu count from config %s", gpu_config)
|
||||
return 0
|
||||
|
||||
|
||||
def config_environ():
|
||||
""" since job-exporter needs to call nvidia-smi, we need to change
|
||||
LD_LIBRARY_PATH to correct value """
|
||||
driver_path = os.environ.get("NV_DRIVER")
|
||||
logger.debug("NV_DRIVER is %s", driver_path)
|
||||
|
||||
ld_path = os.environ.get("LD_LIBRARY_PATH", "")
|
||||
os.environ["LD_LIBRARY_PATH"] = ld_path + os.pathsep + \
|
||||
os.path.join(driver_path, "lib") + os.pathsep + \
|
||||
os.path.join(driver_path, "lib64")
|
||||
|
||||
logger.debug("LD_LIBRARY_PATH is %s", os.environ["LD_LIBRARY_PATH"])
|
||||
|
||||
def main(argv):
|
||||
config_environ()
|
||||
|
||||
log_dir = argv[0]
|
||||
gpu_metrics_path = log_dir + "/gpu_exporter.prom"
|
||||
job_metrics_path = log_dir + "/job_exporter.prom"
|
||||
docker_metrics_path = log_dir + "/docker.prom"
|
||||
time_metrics_path = log_dir + "/time.prom"
|
||||
configured_gpu_path = log_dir + "/cofigured_gpu.prom"
|
||||
time_sleep_s = int(argv[1])
|
||||
|
||||
iter = 0
|
||||
|
||||
gpu_singleton = utils.Singleton(gpu_exporter.collect_gpu_info, name="gpu_singleton")
|
||||
docker_status_singleton = utils.Singleton(collect_docker_daemon_status, name="docker_singleton")
|
||||
|
||||
type1_zombies = ZombieRecorder()
|
||||
type2_zombies = ZombieRecorder()
|
||||
|
||||
configured_gpu_count = get_gpu_count("/gpu-config/gpu-configuration.json")
|
||||
logger.debug("configured_gpu_count is %s", configured_gpu_count)
|
||||
utils.export_metrics_to_file(configured_gpu_path, [Metric("configured_gpu_count", {},
|
||||
configured_gpu_count)])
|
||||
|
||||
while True:
|
||||
start = datetime.datetime.now()
|
||||
try:
|
||||
logger.info("job exporter running {0} iteration".format(str(iter)))
|
||||
iter += 1
|
||||
|
||||
docker_status, is_old = docker_status_singleton.try_get()
|
||||
if not is_old:
|
||||
utils.export_metrics_to_file(docker_metrics_path, docker_status)
|
||||
else:
|
||||
utils.export_metrics_to_file(docker_metrics_path, None)
|
||||
|
||||
all_conns = network.iftop()
|
||||
logger.debug("iftop result is %s", all_conns)
|
||||
|
||||
gpu_infos, is_old = gpu_singleton.try_get()
|
||||
|
||||
if is_old:
|
||||
gpu_infos = None # ignore old gpu_infos
|
||||
|
||||
gpu_metrics = gpu_exporter.convert_gpu_info_to_metrics(gpu_infos)
|
||||
utils.export_metrics_to_file(gpu_metrics_path, gpu_metrics)
|
||||
|
||||
# join with docker stats metrics and docker inspect labels
|
||||
job_metrics = collect_job_metrics(gpu_infos, all_conns, type1_zombies, type2_zombies)
|
||||
utils.export_metrics_to_file(job_metrics_path, job_metrics)
|
||||
except Exception as e:
|
||||
logger.exception("exception in job exporter loop")
|
||||
finally:
|
||||
end = datetime.datetime.now()
|
||||
|
||||
time_metrics = [Metric("job_exporter_iteration_seconds", {}, (end - start).seconds)]
|
||||
utils.export_metrics_to_file(time_metrics_path, time_metrics)
|
||||
|
||||
time.sleep(time_sleep_s)
|
||||
|
||||
|
||||
def get_logging_level():
|
||||
mapping = {
|
||||
"DEBUG": logging.DEBUG,
|
||||
"INFO": logging.INFO,
|
||||
"WARNING": logging.WARNING
|
||||
}
|
||||
|
||||
result = logging.INFO
|
||||
|
||||
if os.environ.get("LOGGING_LEVEL") is not None:
|
||||
level = os.environ["LOGGING_LEVEL"]
|
||||
result = mapping.get(level.upper())
|
||||
if result is None:
|
||||
sys.stderr.write("unknown logging level " + level + ", default to INFO\n")
|
||||
result = logging.INFO
|
||||
|
||||
return result
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(filename)s:%(lineno)s - %(message)s",
|
||||
level=get_logging_level())
|
||||
|
||||
main(sys.argv[1:])
|
||||
|
|
@ -0,0 +1,156 @@
|
|||
#!/usr/bin/env python3
|
||||
|
||||
import argparse
|
||||
import logging
|
||||
import os
|
||||
import json
|
||||
import threading
|
||||
|
||||
from wsgiref.simple_server import make_server
|
||||
from prometheus_client import make_wsgi_app, Gauge
|
||||
from prometheus_client.core import REGISTRY
|
||||
|
||||
import collector
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
configured_gpu_counter = Gauge("configured_gpu_count",
|
||||
"total number of gpu configured for this node")
|
||||
|
||||
|
||||
class CustomCollector(object):
|
||||
def __init__(self, atomic_refs):
|
||||
self.atomic_refs = atomic_refs
|
||||
|
||||
def collect(self):
|
||||
data = []
|
||||
|
||||
for ref in self.atomic_refs:
|
||||
# set None to achieve
|
||||
# https://github.com/Microsoft/pai/issues/1764#issuecomment-442733098
|
||||
d = ref.get_and_set(None)
|
||||
if d is not None:
|
||||
data.extend(d)
|
||||
|
||||
if len(data) > 0:
|
||||
for datum in data:
|
||||
yield datum
|
||||
else:
|
||||
# https://stackoverflow.com/a/6266586
|
||||
# yield nothing
|
||||
return
|
||||
yield
|
||||
|
||||
|
||||
def config_environ():
|
||||
""" since job-exporter needs to call nvidia-smi, we need to change
|
||||
LD_LIBRARY_PATH to correct value """
|
||||
driver_path = os.environ.get("NV_DRIVER")
|
||||
logger.debug("NV_DRIVER is %s", driver_path)
|
||||
|
||||
ld_path = os.environ.get("LD_LIBRARY_PATH", "")
|
||||
os.environ["LD_LIBRARY_PATH"] = ld_path + os.pathsep + \
|
||||
os.path.join(driver_path, "lib") + os.pathsep + \
|
||||
os.path.join(driver_path, "lib64")
|
||||
|
||||
logger.debug("LD_LIBRARY_PATH is %s", os.environ["LD_LIBRARY_PATH"])
|
||||
|
||||
|
||||
def try_remove_old_prom_file(path):
|
||||
""" try to remove old prom file, since old prom file are exposed by node-exporter,
|
||||
if we do not remove, node-exporter will still expose old metrics """
|
||||
if os.path.isfile(path):
|
||||
try:
|
||||
os.unlink(path)
|
||||
except Exception as e:
|
||||
log.warning("can not remove old prom file %s", path)
|
||||
|
||||
|
||||
def get_gpu_count(path):
|
||||
hostname = os.environ.get("HOSTNAME")
|
||||
ip = os.environ.get("HOST_IP")
|
||||
|
||||
logger.debug("hostname is %s, ip is %s", hostname, ip)
|
||||
|
||||
with open(path) as f:
|
||||
gpu_config = json.load(f)
|
||||
|
||||
if hostname is not None and gpu_config["nodes"].get(hostname) is not None:
|
||||
return gpu_config["nodes"][hostname]["gpuCount"]
|
||||
elif ip is not None and gpu_config["nodes"].get(ip) is not None:
|
||||
return gpu_config["nodes"][ip]["gpuCount"]
|
||||
else:
|
||||
logger.warning("failed to find gpu count from config %s", gpu_config)
|
||||
return 0
|
||||
|
||||
|
||||
def main(args):
|
||||
config_environ()
|
||||
try_remove_old_prom_file(args.log + "/gpu_exporter.prom")
|
||||
try_remove_old_prom_file(args.log + "/job_exporter.prom")
|
||||
try_remove_old_prom_file(args.log + "/docker.prom")
|
||||
try_remove_old_prom_file(args.log + "/time.prom")
|
||||
try_remove_old_prom_file(args.log + "/configured_gpu.prom")
|
||||
|
||||
configured_gpu_counter.set(get_gpu_count("/gpu-config/gpu-configuration.json"))
|
||||
|
||||
# used to exchange gpu info between GpuCollector and ContainerCollector
|
||||
gpu_info_ref = collector.AtomicRef()
|
||||
|
||||
# used to exchange docker stats info between ContainerCollector and ZombieCollector
|
||||
stats_info_ref = collector.AtomicRef()
|
||||
|
||||
interval = args.interval
|
||||
# Because all collector except container_collector will spent little time in calling
|
||||
# external command to get metrics, so they need to sleep 30s to align with prometheus
|
||||
# scrape interval. The 99th latency of container_collector loop is around 20s, so it
|
||||
# should only sleep 10s to adapt to scrape interval
|
||||
collector_args = [
|
||||
("docker_daemon_collector", interval, collector.DockerCollector),
|
||||
("gpu_collector", interval, collector.GpuCollector, gpu_info_ref),
|
||||
("container_collector", interval - 18, collector.ContainerCollector,
|
||||
gpu_info_ref, stats_info_ref, args.interface),
|
||||
("zombie_collector", interval, collector.ZombieCollector, stats_info_ref),
|
||||
]
|
||||
|
||||
refs = list(map(lambda x: collector.make_collector(*x), collector_args))
|
||||
|
||||
REGISTRY.register(CustomCollector(refs))
|
||||
|
||||
app = make_wsgi_app(REGISTRY)
|
||||
httpd = make_server("", int(args.port), app)
|
||||
httpd.serve_forever()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("--log", "-l", help="log dir to store log", default="/datastorage/prometheus")
|
||||
parser.add_argument("--port", "-p", help="port to expose metrics", default="9102")
|
||||
parser.add_argument("--interval", "-i", help="prometheus scrape interval", type=int, default=30)
|
||||
parser.add_argument("--interface", "-n", help="network interface for job-exporter to listen on", required=True)
|
||||
args = parser.parse_args()
|
||||
|
||||
def get_logging_level():
|
||||
mapping = {
|
||||
"DEBUG": logging.DEBUG,
|
||||
"INFO": logging.INFO,
|
||||
"WARNING": logging.WARNING
|
||||
}
|
||||
|
||||
result = logging.INFO
|
||||
|
||||
if os.environ.get("LOGGING_LEVEL") is not None:
|
||||
level = os.environ["LOGGING_LEVEL"]
|
||||
result = mapping.get(level.upper())
|
||||
if result is None:
|
||||
sys.stderr.write("unknown logging level " + level + \
|
||||
", default to INFO\n")
|
||||
result = logging.INFO
|
||||
|
||||
return result
|
||||
|
||||
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(threadName)s - %(filename)s:%(lineno)s - %(message)s",
|
||||
level=get_logging_level())
|
||||
|
||||
main(args)
|
||||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/python
|
||||
#!/usr/bin/env python3
|
||||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
|
|
@ -16,13 +16,14 @@
|
|||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
import subprocess
|
||||
import json
|
||||
import sys
|
||||
import re
|
||||
import time
|
||||
import logging
|
||||
import collections
|
||||
import subprocess
|
||||
import socket
|
||||
import fcntl
|
||||
import struct
|
||||
import array
|
||||
|
||||
import utils
|
||||
|
||||
|
|
@ -60,12 +61,20 @@ def convert_to_byte(data):
|
|||
return number
|
||||
|
||||
|
||||
def iftop():
|
||||
def iftop(interface, histogram, timeout):
|
||||
cmd = ["iftop", "-t", "-P", "-s", "1", "-L", "10000", "-B", "-n", "-N"]
|
||||
if interface is not None:
|
||||
cmd.extend(["-i", interface])
|
||||
|
||||
try:
|
||||
output = utils.check_output(["iftop", "-t", "-P", "-s", "1", "-L", "10000",
|
||||
"-B", "-n", "-N"])
|
||||
output = utils.exec_cmd(
|
||||
cmd,
|
||||
stderr=subprocess.STDOUT, # also capture stderr output
|
||||
histogram=histogram, timeout=timeout)
|
||||
return parse_iftop(output)
|
||||
except:
|
||||
except subprocess.TimeoutExpired:
|
||||
logger.warning("iftop timeout")
|
||||
except Exception:
|
||||
logger.exception("exec iftop error")
|
||||
return None
|
||||
|
||||
|
|
@ -89,7 +98,7 @@ def parse_iftop(iftop_output, duration=40):
|
|||
if part == 1:
|
||||
data.append(line)
|
||||
|
||||
for line_no in xrange(0, len(data), 2):
|
||||
for line_no in range(0, len(data), 2):
|
||||
line1 = data[line_no].split()
|
||||
line2 = data[line_no + 1].split()
|
||||
src = line1[1]
|
||||
|
|
@ -116,15 +125,22 @@ def parse_iftop(iftop_output, duration=40):
|
|||
return result
|
||||
|
||||
|
||||
def lsof(pid):
|
||||
def lsof(pid, histogram, timeout):
|
||||
""" use infilter to do setns https://github.com/yadutaf/infilter """
|
||||
if pid is None:
|
||||
return None
|
||||
|
||||
try:
|
||||
output = utils.check_output(["infilter", str(pid), "/usr/bin/lsof", "-i", "-n", "-P"])
|
||||
output = utils.exec_cmd(["infilter", str(pid), "/usr/bin/lsof", "-i", "-n", "-P"],
|
||||
histogram=histogram,
|
||||
stderr=subprocess.STDOUT, # also capture stderr output
|
||||
timeout=timeout)
|
||||
return parse_lsof(output)
|
||||
except:
|
||||
except subprocess.TimeoutExpired:
|
||||
logger.warning("lsof timeout")
|
||||
except subprocess.CalledProcessError as e:
|
||||
logger.warning("infilter lsof returns %d, output %s", e.returncode, e.output)
|
||||
except Exception:
|
||||
logger.exception("exec lsof error")
|
||||
return None
|
||||
|
||||
|
|
@ -138,9 +154,13 @@ def parse_lsof(lsof_output):
|
|||
for line in data:
|
||||
if "ESTABLISHED" in line:
|
||||
parts = line.split()
|
||||
if len(parts) == 10:
|
||||
pid = parts[1]
|
||||
src = parts[8].split("->")[0]
|
||||
conns[pid].add(src)
|
||||
else:
|
||||
logger.warning("unknown format of lsof %s", parts)
|
||||
continue
|
||||
|
||||
return conns
|
||||
|
||||
|
|
@ -165,19 +185,68 @@ def get_container_network_metrics(all_conns, lsof_result):
|
|||
return in_byte, out_byte
|
||||
|
||||
|
||||
def main(pids):
|
||||
""" test purpose """
|
||||
conns = iftop()
|
||||
def format_ip(addr):
|
||||
return str(addr[0]) + "." + \
|
||||
str(addr[1]) + "." + \
|
||||
str(addr[2]) + "." + \
|
||||
str(addr[3])
|
||||
|
||||
logger.debug("conns is %s", conns)
|
||||
logger.debug("lsof_result is %s", lsof_result)
|
||||
|
||||
for pid in pids:
|
||||
lsof_result = lsof(pid)
|
||||
in_byte, out_byte = get_container_network_metrics(conns, lsof_result)
|
||||
logger.info("pid %s in %d out %d", pid, in_byte, out_byte)
|
||||
def get_interfaces():
|
||||
""" get all network interfaces we see, return map with interface name as key, and ip as value """
|
||||
max_possible = 128
|
||||
bytes = max_possible * 32
|
||||
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
|
||||
names = array.array("B", b"\0" * bytes)
|
||||
outbytes = struct.unpack("iL", fcntl.ioctl(
|
||||
s.fileno(),
|
||||
0x8912, # SIOCGIFCONF
|
||||
struct.pack("iL", bytes, names.buffer_info()[0])
|
||||
))[0]
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(filename)s:%(lineno)s - %(message)s",
|
||||
level=logging.DEBUG)
|
||||
main(sys.argv[1:])
|
||||
namestr = names.tostring()
|
||||
|
||||
result = {}
|
||||
for i in range(0, outbytes, 40):
|
||||
name = namestr[i:i+16].split(b"\0", 1)[0].decode("ascii")
|
||||
ip = namestr[i+20:i+24]
|
||||
result[name] = format_ip(ip)
|
||||
return result
|
||||
|
||||
|
||||
def get_ip_can_access_internet(target="hub.docker.com"):
|
||||
""" return None on error """
|
||||
s = socket.socket(
|
||||
socket.AF_INET, socket.SOCK_STREAM)
|
||||
try:
|
||||
s.connect((target, 80))
|
||||
except socket.gaierror:
|
||||
logger.exception("failed to connect to %s", target)
|
||||
return None
|
||||
except Exception:
|
||||
logger.exception("unknown exception when tying to connect %s", target)
|
||||
|
||||
return s.getsockname()[0]
|
||||
|
||||
|
||||
def try_to_get_right_interface(configured_ifs):
|
||||
""" try to return a right interface so that iftop can listen on """
|
||||
ifs = get_interfaces()
|
||||
|
||||
logger.debug("found interfaces %s", ifs)
|
||||
|
||||
for interface in configured_ifs.split(","):
|
||||
interface = interface.strip()
|
||||
if interface in ifs:
|
||||
return interface
|
||||
|
||||
logger.info("didn't find correct network interface in this node, configured %s, found %s",
|
||||
configured_ifs, ifs)
|
||||
|
||||
ip = get_ip_can_access_internet()
|
||||
if ip is not None:
|
||||
for if_name, if_ip in ifs.items():
|
||||
if ip == if_ip:
|
||||
return if_name
|
||||
|
||||
return None
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/python
|
||||
#!/usr/bin/env python3
|
||||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
|
|
@ -17,13 +17,11 @@
|
|||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
import subprocess
|
||||
import sys
|
||||
from xml.dom import minidom
|
||||
import os
|
||||
import logging
|
||||
|
||||
import utils
|
||||
from utils import Metric
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
|
@ -43,46 +41,25 @@ def parse_smi_xml_result(smi):
|
|||
if gpu_util == "N/A" or gpu_mem_util == "N/A":
|
||||
continue
|
||||
|
||||
result[str(minor)] = {"gpu_util": gpu_util, "gpu_mem_util": gpu_mem_util}
|
||||
result[str(minor)] = {"gpu_util": float(gpu_util), "gpu_mem_util": float(gpu_mem_util)}
|
||||
|
||||
return result
|
||||
|
||||
def collect_gpu_info():
|
||||
""" in some cases, nvidia-smi may block indefinitely, caller should be aware of this """
|
||||
def nvidia_smi(histogram, timeout):
|
||||
driver_path = os.environ["NV_DRIVER"]
|
||||
bin_path = os.path.join(driver_path, "bin/nvidia-smi")
|
||||
try:
|
||||
logger.info("call %s to get gpu metrics", bin_path) # used to check if nvidia-smi hangs
|
||||
|
||||
smi_output = utils.check_output([bin_path, "-q", "-x"])
|
||||
try:
|
||||
smi_output = utils.exec_cmd([bin_path, "-q", "-x"],
|
||||
histogram=histogram, timeout=timeout)
|
||||
|
||||
return parse_smi_xml_result(smi_output)
|
||||
except subprocess.CalledProcessError as e:
|
||||
if e.returncode == 127:
|
||||
logger.exception("nvidia cmd error. command '%s' return with error (code %d): %s",
|
||||
e.cmd, e.returncode, e.output)
|
||||
else:
|
||||
logger.exception("command '%s' return with error (code %d): %s",
|
||||
e.cmd, e.returncode, e.output)
|
||||
except OSError as e:
|
||||
logger.exception("nvidia-smi not found")
|
||||
except subprocess.TimeoutExpired:
|
||||
logger.warning("nvidia-smi timeout")
|
||||
except Exception:
|
||||
logger.exception("exec nvidia-smi error")
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def convert_gpu_info_to_metrics(gpu_infos):
|
||||
if gpu_infos is None:
|
||||
return None
|
||||
|
||||
result = [Metric("nvidiasmi_attached_gpus", {}, len(gpu_infos))]
|
||||
|
||||
for minor, info in gpu_infos.items():
|
||||
label = {"minor_number": minor}
|
||||
result.append(Metric("nvidiasmi_utilization_gpu", label, info["gpu_util"]))
|
||||
result.append(Metric("nvidiasmi_utilization_memory", label, info["gpu_mem_util"]))
|
||||
|
||||
return result
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
print collect_gpu_info()
|
||||
|
|
@ -1,4 +1,4 @@
|
|||
#!/usr/bin/env python
|
||||
#!/usr/bin/env python3
|
||||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
|
|
@ -16,128 +16,27 @@
|
|||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
import re
|
||||
import codecs
|
||||
import subprocess
|
||||
|
||||
import logging
|
||||
import threading
|
||||
import datetime
|
||||
from Queue import Queue
|
||||
from Queue import Empty
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
class Metric(object):
|
||||
""" represents one prometheus metric record
|
||||
https://prometheus.io/docs/concepts/data_model/ """
|
||||
|
||||
def __init__(self, name, labels, value):
|
||||
self.name = name
|
||||
self.labels = labels
|
||||
self.value = value
|
||||
|
||||
def __eq__(self, o):
|
||||
return self.name == o.name and self.labels == o.labels and self.value == o.value
|
||||
|
||||
def __repr__(self):
|
||||
if len(self.labels) > 0:
|
||||
labels = ", ".join(map(lambda x: "{}=\"{}\"".format(x[0], x[1]),
|
||||
self.labels.items()))
|
||||
labels = "{" + labels + "}"
|
||||
def exec_cmd(*args, **kwargs):
|
||||
""" exec a cmd with timeout, also record time used using prometheus higtogram """
|
||||
if kwargs.get("histogram") is not None:
|
||||
histogram = kwargs.pop("histogram")
|
||||
else:
|
||||
labels = ""
|
||||
histogram = None
|
||||
|
||||
return "{}{} {}".format(self.name, labels, self.value)
|
||||
logger.debug("about to exec %s", args[0])
|
||||
|
||||
|
||||
def export_metrics_to_file(path, metrics):
|
||||
""" if metrics not None, should still open the path, to modify time stamp of file,
|
||||
readiness probe needs this"""
|
||||
with codecs.open(path, "w", encoding="utf-8") as f:
|
||||
if metrics is not None:
|
||||
for metric in metrics:
|
||||
f.write(str(metric))
|
||||
f.write("\n")
|
||||
|
||||
|
||||
def check_output(*args, **kwargs):
|
||||
""" subprocess.check_output may hanging if cmd output too much stdout or stderr """
|
||||
kwargs["stdout"] = subprocess.PIPE
|
||||
kwargs["stderr"] = subprocess.PIPE
|
||||
process = subprocess.Popen(*args, **kwargs)
|
||||
outs = []
|
||||
errs = []
|
||||
|
||||
while process.poll() is None:
|
||||
out, err = process.communicate()
|
||||
outs.append(out)
|
||||
errs.append(err)
|
||||
if process.returncode != 0:
|
||||
logger.warn("process `%s` failed with return code %d, stdout %s, stderr %s",
|
||||
args, process.returncode, "".join(outs), "".join(errs))
|
||||
return "".join(outs)
|
||||
|
||||
|
||||
class Singleton(object):
|
||||
""" wrapper around metrics getter, because getter may block
|
||||
indefinitely, so we wrap call in thread.
|
||||
Also, to avoid having too much threads, use semaphore to ensure only 1
|
||||
thread is running """
|
||||
def __init__(self, getter, get_timeout_s=3, name="singleton"):
|
||||
self.getter = getter
|
||||
self.get_timeout_s = get_timeout_s
|
||||
self.name = name
|
||||
|
||||
self.semaphore = threading.Semaphore(1)
|
||||
self.queue = Queue(1)
|
||||
self.old_metrics = None
|
||||
|
||||
def wrapper(self, semaphore, queue):
|
||||
""" wrapper assume semaphore already acquired, will release semaphore on exit """
|
||||
result = None
|
||||
|
||||
try:
|
||||
try:
|
||||
# remove result put by previous thread but didn't get by main thread
|
||||
queue.get(block=False)
|
||||
except Empty:
|
||||
pass
|
||||
|
||||
start = datetime.datetime.now()
|
||||
result = self.getter()
|
||||
except Exception as e:
|
||||
logger.warn("%s get metrics failed", self.name)
|
||||
logger.exception(e)
|
||||
finally:
|
||||
logger.info("%s get metrics spent %s", self.name, datetime.datetime.now() - start)
|
||||
semaphore.release()
|
||||
queue.put(result)
|
||||
|
||||
def try_get(self):
|
||||
""" return value, is_old tuple, if value is not newly getted, return value we get last time,
|
||||
and set is_old to True, otherwise return newly getted value and False """
|
||||
if self.semaphore.acquire(False):
|
||||
t = threading.Thread(target=Singleton.wrapper, name=self.name + "-getter",
|
||||
args=(self, self.semaphore, self.queue))
|
||||
t.start()
|
||||
if histogram is not None:
|
||||
with histogram.time():
|
||||
return subprocess.check_output(*args, **kwargs).decode("utf-8")
|
||||
else:
|
||||
logger.warn("%s is still running", self.name + "-getter")
|
||||
|
||||
try:
|
||||
self.old_metrics = self.queue.get(block=True, timeout=self.get_timeout_s)
|
||||
return self.old_metrics, False
|
||||
except Empty:
|
||||
pass
|
||||
|
||||
return self.old_metrics, True
|
||||
|
||||
|
||||
def camel_to_underscore(label):
|
||||
""" convert camel case into underscore
|
||||
https://stackoverflow.com/a/1176023 """
|
||||
tmp = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', label)
|
||||
return re.sub('([a-z0-9])([A-Z])', r'\1_\2', tmp).lower()
|
||||
return subprocess.check_output(*args, **kwargs).decode("utf-8")
|
||||
|
||||
|
||||
def walk_json_field_safe(obj, *fields):
|
||||
|
|
|
|||
|
|
@ -0,0 +1,28 @@
|
|||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
# MIT License
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
|
||||
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation
|
||||
# the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
|
||||
# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
|
||||
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
|
||||
# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
|
||||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
import logging
|
||||
import unittest
|
||||
|
||||
class TestBase(unittest.TestCase):
|
||||
"""
|
||||
Test Base class for job-exporter
|
||||
"""
|
||||
@classmethod
|
||||
def setUpClass(cls):
|
||||
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(filename)s:%(lineno)s - %(message)s",
|
||||
level=logging.DEBUG)
|
||||
|
|
@ -0,0 +1,180 @@
|
|||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
# MIT License
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
|
||||
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation
|
||||
# the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
|
||||
# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
|
||||
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
|
||||
# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
|
||||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
import os
|
||||
import sys
|
||||
import copy
|
||||
import unittest
|
||||
import datetime
|
||||
import time
|
||||
import logging
|
||||
|
||||
import base
|
||||
|
||||
sys.path.append(os.path.abspath("../src/"))
|
||||
|
||||
import collector
|
||||
from collector import ContainerCollector
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
class TestContainerCollector(base.TestBase):
|
||||
"""
|
||||
Test ContainerCollector in collecotr.py
|
||||
"""
|
||||
|
||||
def test_parse_from_labels(self):
|
||||
labels = {"container_label_PAI_USER_NAME": "openmindstudio", "container_label_GPU_ID": "0,1,", "container_label_PAI_HOSTNAME": "paigcr-a-gpu-1058", "container_label_PAI_JOB_NAME": "trialslot_nnimain_d65bc5ac", "container_label_PAI_CURRENT_TASK_ROLE_NAME": "tuner"}
|
||||
gpuIds, otherLabels = ContainerCollector.parse_from_labels(labels)
|
||||
self.assertEqual(["0", "1"], gpuIds,)
|
||||
copied = copy.deepcopy(labels)
|
||||
copied.pop("container_label_GPU_ID")
|
||||
self.assertEqual(copied, otherLabels)
|
||||
|
||||
def test_infer_service_name(self):
|
||||
self.assertIsNone(ContainerCollector.infer_service_name(
|
||||
"k8s_POD_alertmanager-7884c59f78-66r86_default_0a32e30a-f6ae-11e8"))
|
||||
|
||||
self.assertEqual(
|
||||
"alertmanager",
|
||||
ContainerCollector.infer_service_name(
|
||||
"k8s_alertmanager_alertmanager-7884c59f78-66r86_default_0a32e30a-f6ae-11e8-a62d-000d3ab25bb6_2"))
|
||||
|
||||
self.assertIsNone(ContainerCollector.infer_service_name(
|
||||
"k8s_kube-scheduler_kube-scheduler-10.151.40.4_kube-system_f1164d931979939cf0601155df9c748a_6"))
|
||||
|
||||
|
||||
class TestDockerCollector(base.TestBase):
|
||||
"""
|
||||
Test DockerCollector in collector.py
|
||||
"""
|
||||
|
||||
def assert_metrics(self, metrics):
|
||||
self.assertEqual(1, len(metrics))
|
||||
self.assertEqual(1, len(metrics[0].samples))
|
||||
sample = metrics[0].samples[0]
|
||||
self.assertEqual(1, len(sample[1])) # label keys
|
||||
self.assertEqual(1, sample[2]) # sample value
|
||||
|
||||
def test_impl(self):
|
||||
_, c = collector.instantiate_collector(
|
||||
"test_docker_collector1",
|
||||
0.5,
|
||||
collector.DockerCollector)
|
||||
|
||||
self.assert_metrics(c.collect_impl())
|
||||
|
||||
def test_base_collector(self):
|
||||
""" actually setup DockerCollector thread, and test, since this is multi-thread
|
||||
test case, maybe sensitive to the system load """
|
||||
ref = collector.make_collector(
|
||||
"test_docker_collector2",
|
||||
0.5,
|
||||
collector.DockerCollector)
|
||||
|
||||
metrics = None
|
||||
for i in range(10):
|
||||
metrics = ref.get()
|
||||
if metrics is not None:
|
||||
break
|
||||
time.sleep(0.1)
|
||||
|
||||
self.assert_metrics(metrics)
|
||||
|
||||
|
||||
class TestZombieCollector(base.TestBase):
|
||||
"""
|
||||
Test ZombieCollector in collector.py
|
||||
"""
|
||||
def setUp(self):
|
||||
# Because prometheus forbid same metric name, and we generate metric
|
||||
# in from name, we need to differentiate name using time.
|
||||
t = str(time.time()).replace(".", "_")
|
||||
|
||||
_, self.collector = collector.instantiate_collector(
|
||||
"test_zombie_collector" + t,
|
||||
0.5,
|
||||
collector.ZombieCollector,
|
||||
collector.AtomicRef())
|
||||
|
||||
def test_update_zombie_count_type1(self):
|
||||
start = datetime.datetime.now()
|
||||
|
||||
one_sec = datetime.timedelta(seconds=1)
|
||||
|
||||
type1_recorder = self.collector.type1_zombies
|
||||
|
||||
self.assertEqual(0,
|
||||
self.collector.update_zombie_count_type1({"a", "b"}, start))
|
||||
self.assertEqual(2, len(type1_recorder))
|
||||
|
||||
self.assertEqual(0,
|
||||
self.collector.update_zombie_count_type1({"a", "b"},
|
||||
start + type1_recorder.decay_time - one_sec))
|
||||
self.assertEqual(2, len(type1_recorder))
|
||||
|
||||
self.assertEqual(2,
|
||||
self.collector.update_zombie_count_type1({"a", "b"},
|
||||
start + type1_recorder.decay_time + one_sec))
|
||||
self.assertEqual(2, len(type1_recorder))
|
||||
|
||||
self.assertEqual(1,
|
||||
self.collector.update_zombie_count_type1({"a"},
|
||||
start + type1_recorder.decay_time + 2 *one_sec))
|
||||
self.assertEqual(1, len(type1_recorder))
|
||||
|
||||
self.assertEqual(0,
|
||||
self.collector.update_zombie_count_type1({},
|
||||
start + type1_recorder.decay_time + 3 * one_sec))
|
||||
self.assertEqual(0, len(type1_recorder))
|
||||
|
||||
def test_update_zombie_count_type2(self):
|
||||
start = datetime.datetime.now()
|
||||
|
||||
one_sec = datetime.timedelta(seconds=1)
|
||||
|
||||
stats = {"43ffe701d883":
|
||||
{"name": "core-caffe2_resnet50_20181012040921.586-container_e03_1539312078880_0780_01_000002"},
|
||||
"8de2f53e64cb":
|
||||
{"name": "container_e03_1539312078880_0780_01_000002"}}
|
||||
|
||||
type2_recorder = self.collector.type2_zombies
|
||||
|
||||
self.assertEqual(0,
|
||||
self.collector.update_zombie_count_type2(stats, start))
|
||||
|
||||
stats.pop("8de2f53e64cb")
|
||||
|
||||
self.assertEqual(0,
|
||||
self.collector.update_zombie_count_type2(stats, start + one_sec))
|
||||
|
||||
self.assertEqual(0,
|
||||
self.collector.update_zombie_count_type2(stats,
|
||||
start + type2_recorder.decay_time))
|
||||
|
||||
self.assertEqual(1,
|
||||
self.collector.update_zombie_count_type2(stats,
|
||||
start + type2_recorder.decay_time + 2 * one_sec))
|
||||
|
||||
stats.pop("43ffe701d883")
|
||||
|
||||
self.assertEqual(0,
|
||||
self.collector.update_zombie_count_type2(stats,
|
||||
start + type2_recorder.decay_time + 3 * one_sec))
|
||||
|
||||
if __name__ == '__main__':
|
||||
unittest.main()
|
||||
|
|
@ -15,46 +15,25 @@
|
|||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
import os
|
||||
import sys
|
||||
import os
|
||||
import unittest
|
||||
import yaml
|
||||
import logging
|
||||
import logging.config
|
||||
|
||||
import base
|
||||
|
||||
sys.path.append(os.path.abspath("../src/"))
|
||||
|
||||
from docker_inspect import parse_docker_inspect
|
||||
|
||||
class TestDockerInspect(unittest.TestCase):
|
||||
class TestDockerInspect(base.TestBase):
|
||||
"""
|
||||
Test docker_inspect.py
|
||||
"""
|
||||
def setUp(self):
|
||||
try:
|
||||
os.chdir(os.path.abspath("test"))
|
||||
except:
|
||||
pass
|
||||
|
||||
configuration_path = "logging.yaml"
|
||||
|
||||
if os.path.exists(configuration_path):
|
||||
with open(configuration_path, 'rt') as f:
|
||||
logging_configuration = yaml.safe_load(f.read())
|
||||
logging.config.dictConfig(logging_configuration)
|
||||
logging.getLogger()
|
||||
|
||||
|
||||
def tearDown(self):
|
||||
try:
|
||||
os.chdir(os.path.abspath(".."))
|
||||
except:
|
||||
pass
|
||||
|
||||
def test_parse_docker_inspect(self):
|
||||
sample_path = "data/docker_inspect_sample.json"
|
||||
file = open(sample_path, "r")
|
||||
docker_inspect = file.read()
|
||||
with open(sample_path, "r") as f:
|
||||
docker_inspect = f.read()
|
||||
inspect_info = parse_docker_inspect(docker_inspect)
|
||||
target_inspect_info = {"labels": {"container_label_PAI_USER_NAME": "openmindstudio", "container_label_GPU_ID": "0,1,", "container_label_PAI_HOSTNAME": "paigcr-a-gpu-1058", "container_label_PAI_JOB_NAME": "trialslot_nnimain_d65bc5ac", "container_label_PAI_CURRENT_TASK_ROLE_NAME": "tuner"}, "env": {"container_env_PAI_TASK_INDEX": "0"}, "pid": 95539}
|
||||
self.assertEqual(target_inspect_info, inspect_info)
|
||||
|
|
|
|||
|
|
@ -18,9 +18,8 @@
|
|||
import os
|
||||
import sys
|
||||
import unittest
|
||||
import yaml
|
||||
import logging
|
||||
import logging.config
|
||||
|
||||
import base
|
||||
|
||||
sys.path.append(os.path.abspath("../src/"))
|
||||
|
||||
|
|
@ -30,37 +29,17 @@ from docker_stats import parse_usage_limit
|
|||
from docker_stats import parse_io
|
||||
from docker_stats import parse_percentile
|
||||
|
||||
class TestDockerStats(unittest.TestCase):
|
||||
class TestDockerStats(base.TestBase):
|
||||
"""
|
||||
Test docker_stats.py
|
||||
"""
|
||||
def setUp(self):
|
||||
try:
|
||||
os.chdir(os.path.abspath("test"))
|
||||
except:
|
||||
pass
|
||||
|
||||
configuration_path = "logging.yaml"
|
||||
|
||||
if os.path.exists(configuration_path):
|
||||
with open(configuration_path, 'rt') as f:
|
||||
logging_configuration = yaml.safe_load(f.read())
|
||||
logging.config.dictConfig(logging_configuration)
|
||||
logging.getLogger()
|
||||
|
||||
def tearDown(self):
|
||||
try:
|
||||
os.chdir(os.path.abspath(".."))
|
||||
except:
|
||||
pass
|
||||
|
||||
def test_parse_docker_inspect(self):
|
||||
sample_path = "data/docker_stats_sample.txt"
|
||||
file = open(sample_path, "r")
|
||||
docker_stats = file.read()
|
||||
with open(sample_path, "r") as f:
|
||||
docker_stats = f.read()
|
||||
|
||||
stats_info = parse_docker_stats(docker_stats)
|
||||
target_stats_info = {'722dac0a62cf0243e63a268b8ef995e8386c185c712f545c0c403b295a529636': {'BlockIO': {'out': 156000000.0, 'in': 28600000.0}, 'NetIO': {'out': 425000000000.0, 'in': 1580000000000.0}, 'CPUPerc': '0.00', 'MemPerc': '0.19', 'id': '722dac0a62cf0243e63a268b8ef995e8386c185c712f545c0c403b295a529636', 'MemUsage_Limit': {'usage': 111149056.0, 'limit': 59088012574.72}, 'name': 'alert-manager'}, '33a22dcd4ba31ebc4a19fae865ee62285b6fae98a6ab72d2bc65e41cdc70e419': {'BlockIO': {'out': 0.0, 'in': 28000000.0}, 'NetIO': {'out': 0.0, 'in': 0.0}, 'CPUPerc': '0.00', 'MemPerc': '6.23', 'id': '33a22dcd4ba31ebc4a19fae865ee62285b6fae98a6ab72d2bc65e41cdc70e419', 'MemUsage_Limit': {'usage': 19587399.68, 'limit': 314572800.0}, 'name': 'prometheus'}}
|
||||
print stats_info.values()
|
||||
target_stats_info = {'722dac0a62cf0243e63a268b8ef995e8386c185c712f545c0c403b295a529636': {'BlockIO': {'out': 156000000.0, 'in': 28600000.0}, 'NetIO': {'out': 425000000000.0, 'in': 1580000000000.0}, 'CPUPerc': 0.00, 'MemPerc': 0.19, 'id': '722dac0a62cf0243e63a268b8ef995e8386c185c712f545c0c403b295a529636', 'MemUsage_Limit': {'usage': 111149056.0, 'limit': 59088012574.72}, 'name': 'alert-manager'}, '33a22dcd4ba31ebc4a19fae865ee62285b6fae98a6ab72d2bc65e41cdc70e419': {'BlockIO': {'out': 0.0, 'in': 28000000.0}, 'NetIO': {'out': 0.0, 'in': 0.0}, 'CPUPerc': 0.00, 'MemPerc': 6.23, 'id': '33a22dcd4ba31ebc4a19fae865ee62285b6fae98a6ab72d2bc65e41cdc70e419', 'MemUsage_Limit': {'usage': 19587399.68, 'limit': 314572800.0}, 'name': 'prometheus'}}
|
||||
self.assertEqual(target_stats_info, stats_info)
|
||||
|
||||
def test_convert_to_byte(self):
|
||||
|
|
@ -83,7 +62,7 @@ class TestDockerStats(unittest.TestCase):
|
|||
def test_parse_percentile(self):
|
||||
data = "24.45%"
|
||||
result = parse_percentile(data)
|
||||
target = "24.45"
|
||||
target = 24.45
|
||||
self.assertEqual(target, result)
|
||||
|
||||
if __name__ == '__main__':
|
||||
|
|
|
|||
|
|
@ -1,89 +0,0 @@
|
|||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
# MIT License
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
|
||||
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation
|
||||
# the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
|
||||
# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
|
||||
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
|
||||
# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
|
||||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
import os
|
||||
import sys
|
||||
import unittest
|
||||
import yaml
|
||||
import logging
|
||||
import logging.config
|
||||
|
||||
sys.path.append(os.path.abspath("../src/"))
|
||||
|
||||
import gpu_exporter
|
||||
from utils import Metric
|
||||
|
||||
class TestGPUExporter(unittest.TestCase):
|
||||
"""
|
||||
Test gpu_exporter.py
|
||||
"""
|
||||
def setUp(self):
|
||||
try:
|
||||
os.chdir(os.path.abspath("test"))
|
||||
except:
|
||||
pass
|
||||
|
||||
configuration_path = "logging.yaml"
|
||||
|
||||
if os.path.exists(configuration_path):
|
||||
with open(configuration_path, 'rt') as f:
|
||||
logging_configuration = yaml.safe_load(f.read())
|
||||
logging.config.dictConfig(logging_configuration)
|
||||
logging.getLogger()
|
||||
|
||||
|
||||
def tearDown(self):
|
||||
try:
|
||||
os.chdir(os.path.abspath(".."))
|
||||
except:
|
||||
pass
|
||||
|
||||
def test_parse_smi_xml_result(self):
|
||||
sample_path = "data/nvidia_smi_sample.xml"
|
||||
file = open(sample_path, "r")
|
||||
nvidia_smi_result = file.read()
|
||||
nvidia_smi_parse_result = gpu_exporter.parse_smi_xml_result(nvidia_smi_result)
|
||||
target_smi_info = {'1': {'gpu_util': u'98', 'gpu_mem_util': u'97'},
|
||||
'0': {'gpu_util': u'100', 'gpu_mem_util': u'99'}}
|
||||
self.assertEqual(target_smi_info, nvidia_smi_parse_result)
|
||||
|
||||
def test_convert_gpu_info_to_metrics(self):
|
||||
info = {'1': {'gpu_util': u'98', 'gpu_mem_util': u'97'},
|
||||
'0': {'gpu_util': u'100', 'gpu_mem_util': u'99'}}
|
||||
metrics = gpu_exporter.convert_gpu_info_to_metrics(info)
|
||||
self.assertEqual(5, len(metrics))
|
||||
|
||||
self.assertIn(Metric("nvidiasmi_attached_gpus", {}, 2), metrics)
|
||||
self.assertIn(Metric("nvidiasmi_utilization_gpu", {"minor_number": "0"}, "100"),
|
||||
metrics)
|
||||
self.assertIn(Metric("nvidiasmi_utilization_memory", {"minor_number": "0"}, "99"),
|
||||
metrics)
|
||||
self.assertIn(Metric("nvidiasmi_utilization_gpu", {"minor_number": "1"}, "98"),
|
||||
metrics)
|
||||
self.assertIn(Metric("nvidiasmi_utilization_memory", {"minor_number": "1"}, "97"),
|
||||
metrics)
|
||||
|
||||
def test_exporter_will_not_report_unsupported_gpu(self):
|
||||
sample_path = "data/nvidia_smi_outdated_gpu.xml"
|
||||
file = open(sample_path, "r")
|
||||
nvidia_smi_result = file.read()
|
||||
nvidia_smi_parse_result = gpu_exporter.parse_smi_xml_result(nvidia_smi_result)
|
||||
self.assertEqual({}, nvidia_smi_parse_result)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
unittest.main()
|
||||
|
|
@ -1,133 +0,0 @@
|
|||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
# MIT License
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
|
||||
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation
|
||||
# the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
|
||||
# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
|
||||
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
|
||||
# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
|
||||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
import os
|
||||
import sys
|
||||
import copy
|
||||
import unittest
|
||||
import yaml
|
||||
import logging
|
||||
import logging.config
|
||||
import datetime
|
||||
|
||||
sys.path.append(os.path.abspath("../src/"))
|
||||
|
||||
import job_exporter
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
|
||||
class TestJobExporter(unittest.TestCase):
|
||||
"""
|
||||
Test job_exporter.py
|
||||
"""
|
||||
def setUp(self):
|
||||
try:
|
||||
os.chdir(os.path.abspath("test"))
|
||||
except:
|
||||
pass
|
||||
|
||||
configuration_path = "logging.yaml"
|
||||
|
||||
if os.path.exists(configuration_path):
|
||||
with open(configuration_path, 'rt') as f:
|
||||
logging_configuration = yaml.safe_load(f.read())
|
||||
logging.config.dictConfig(logging_configuration)
|
||||
logging.getLogger()
|
||||
|
||||
|
||||
def tearDown(self):
|
||||
try:
|
||||
os.chdir(os.path.abspath(".."))
|
||||
except:
|
||||
pass
|
||||
|
||||
def test_parse_from_labels(self):
|
||||
labels = {"container_label_PAI_USER_NAME": "openmindstudio", "container_label_GPU_ID": "0,1,", "container_label_PAI_HOSTNAME": "paigcr-a-gpu-1058", "container_label_PAI_JOB_NAME": "trialslot_nnimain_d65bc5ac", "container_label_PAI_CURRENT_TASK_ROLE_NAME": "tuner"}
|
||||
gpuIds, otherLabels = job_exporter.parse_from_labels(labels)
|
||||
self.assertEqual(["0", "1"], gpuIds,)
|
||||
copied = copy.deepcopy(labels)
|
||||
copied.pop("container_label_GPU_ID")
|
||||
self.assertEqual(copied, otherLabels)
|
||||
|
||||
def test_generate_zombie_count_type1(self):
|
||||
zombies = job_exporter.ZombieRecorder()
|
||||
|
||||
start = datetime.datetime.now()
|
||||
|
||||
one_sec = datetime.timedelta(seconds=1)
|
||||
|
||||
self.assertEqual(0,
|
||||
job_exporter.generate_zombie_count_type1(zombies, {"a", "b"}, start))
|
||||
self.assertEqual(2, len(zombies))
|
||||
|
||||
self.assertEqual(0,
|
||||
job_exporter.generate_zombie_count_type1(zombies, {"a", "b"},
|
||||
start + zombies.decay_time - one_sec))
|
||||
self.assertEqual(2, len(zombies))
|
||||
|
||||
self.assertEqual(2,
|
||||
job_exporter.generate_zombie_count_type1(zombies, {"a", "b"},
|
||||
start + zombies.decay_time + one_sec))
|
||||
self.assertEqual(2, len(zombies))
|
||||
|
||||
self.assertEqual(1,
|
||||
job_exporter.generate_zombie_count_type1(zombies, {"a"},
|
||||
start + zombies.decay_time + 2 *one_sec))
|
||||
self.assertEqual(1, len(zombies))
|
||||
|
||||
self.assertEqual(0,
|
||||
job_exporter.generate_zombie_count_type1(zombies, {},
|
||||
start + zombies.decay_time + 3 * one_sec))
|
||||
self.assertEqual(0, len(zombies))
|
||||
|
||||
|
||||
def test_generate_zombie_count_type2(self):
|
||||
zombies = job_exporter.ZombieRecorder()
|
||||
|
||||
start = datetime.datetime.now()
|
||||
|
||||
one_sec = datetime.timedelta(seconds=1)
|
||||
|
||||
stats = {"43ffe701d883":
|
||||
{"name": "core-caffe2_resnet50_20181012040921.586-container_e03_1539312078880_0780_01_000002"},
|
||||
"8de2f53e64cb":
|
||||
{"name": "container_e03_1539312078880_0780_01_000002"}}
|
||||
|
||||
self.assertEqual(0,
|
||||
job_exporter.generate_zombie_count_type2(zombies, stats, start))
|
||||
|
||||
stats.pop("8de2f53e64cb")
|
||||
|
||||
self.assertEqual(0,
|
||||
job_exporter.generate_zombie_count_type2(zombies, stats, start + one_sec))
|
||||
|
||||
self.assertEqual(0,
|
||||
job_exporter.generate_zombie_count_type2(zombies, stats,
|
||||
start + zombies.decay_time))
|
||||
|
||||
self.assertEqual(1,
|
||||
job_exporter.generate_zombie_count_type2(zombies, stats,
|
||||
start + zombies.decay_time + 2 * one_sec))
|
||||
|
||||
stats.pop("43ffe701d883")
|
||||
|
||||
self.assertEqual(0,
|
||||
job_exporter.generate_zombie_count_type2(zombies, stats,
|
||||
start + zombies.decay_time + 3 * one_sec))
|
||||
|
||||
if __name__ == '__main__':
|
||||
unittest.main()
|
||||
|
|
@ -1,4 +1,3 @@
|
|||
#!/usr/bin/python
|
||||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
|
|
@ -16,27 +15,27 @@
|
|||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
import argparse
|
||||
import datetime
|
||||
import os
|
||||
import sys
|
||||
import unittest
|
||||
|
||||
def check_no_older_than(paths, delta):
|
||||
""" raise RuntimeError exception if any path in paths is older than `now - delta` """
|
||||
now = datetime.datetime.now()
|
||||
delta = datetime.timedelta(seconds=delta)
|
||||
oldest = now - delta
|
||||
import base
|
||||
|
||||
for path in paths:
|
||||
mtime = os.path.getmtime(path)
|
||||
mtime = datetime.datetime.fromtimestamp(mtime)
|
||||
if oldest > mtime:
|
||||
raise RuntimeError("{} was updated more than {} seconds ago".format(path, delta))
|
||||
sys.path.append(os.path.abspath("../src/"))
|
||||
|
||||
import network
|
||||
|
||||
if __name__ == "__main__":
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("paths", nargs="+", help="file to be checked")
|
||||
parser.add_argument("-d", "--delta", type=int, default=60, help="check file is no older than -d seconds")
|
||||
args = parser.parse_args()
|
||||
class TestNetwork(base.TestBase):
|
||||
"""
|
||||
Test network.py
|
||||
"""
|
||||
|
||||
check_no_older_than(args.paths, args.delta)
|
||||
def test_parse_lsof(self):
|
||||
output = """COMMAND PID USER FD TYPE DEVICE SIZE/OFF NODE NAME
|
||||
python3 52485 dixu 5u IPv4 420398429 0t0 TCP 10.150.148.166:43682->198.100.183.212:443 (ESTABLISHED)
|
||||
0t0 TCP 10.151.40.4:36090->10.151.40.4:8031 (ESTABLISHED)
|
||||
"""
|
||||
result = network.parse_lsof(output)
|
||||
|
||||
if __name__ == '__main__':
|
||||
unittest.main()
|
||||
|
|
@ -0,0 +1,50 @@
|
|||
# Copyright (c) Microsoft Corporation
|
||||
# All rights reserved.
|
||||
#
|
||||
# MIT License
|
||||
#
|
||||
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
|
||||
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation
|
||||
# the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
|
||||
# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
|
||||
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
|
||||
# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
|
||||
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
|
||||
import os
|
||||
import sys
|
||||
import unittest
|
||||
|
||||
import base
|
||||
|
||||
sys.path.append(os.path.abspath("../src/"))
|
||||
|
||||
import nvidia
|
||||
|
||||
class TestNvidia(base.TestBase):
|
||||
"""
|
||||
Test nvidia.py
|
||||
"""
|
||||
def test_parse_smi_xml_result(self):
|
||||
sample_path = "data/nvidia_smi_sample.xml"
|
||||
with open(sample_path, "r") as f:
|
||||
nvidia_smi_result = f.read()
|
||||
nvidia_smi_parse_result = nvidia.parse_smi_xml_result(nvidia_smi_result)
|
||||
target_smi_info = {'1': {'gpu_util': 98, 'gpu_mem_util': 97},
|
||||
'0': {'gpu_util': 100, 'gpu_mem_util': 99}}
|
||||
self.assertEqual(target_smi_info, nvidia_smi_parse_result)
|
||||
|
||||
def test_exporter_will_not_report_unsupported_gpu(self):
|
||||
sample_path = "data/nvidia_smi_outdated_gpu.xml"
|
||||
with open(sample_path, "r") as f:
|
||||
nvidia_smi_result = f.read()
|
||||
nvidia_smi_parse_result = nvidia.parse_smi_xml_result(nvidia_smi_result)
|
||||
self.assertEqual({}, nvidia_smi_parse_result)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
unittest.main()
|
||||
|
|
@ -18,139 +18,35 @@
|
|||
import os
|
||||
import sys
|
||||
import unittest
|
||||
import yaml
|
||||
import threading
|
||||
import logging
|
||||
import logging.config
|
||||
import tempfile
|
||||
import subprocess
|
||||
|
||||
import base
|
||||
|
||||
sys.path.append(os.path.abspath("../src/"))
|
||||
|
||||
import utils
|
||||
from utils import Metric
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
|
||||
class TestUtils(unittest.TestCase):
|
||||
class TestUtils(base.TestBase):
|
||||
"""
|
||||
Test utils.py
|
||||
"""
|
||||
def setUp(self):
|
||||
try:
|
||||
os.chdir(os.path.abspath("test"))
|
||||
except:
|
||||
pass
|
||||
def test_walk_json_field_safe(self):
|
||||
self.assertIsNone(utils.walk_json_field_safe(None, 1, "abc"))
|
||||
self.assertIsNone(utils.walk_json_field_safe([], 1, "abc"))
|
||||
self.assertIsNone(utils.walk_json_field_safe([{"abc"}], 1, "abc"))
|
||||
self.assertEqual("345",
|
||||
utils.walk_json_field_safe([{"name": "123"}, {"name": "345"}], 1, "name"))
|
||||
|
||||
configuration_path = "logging.yaml"
|
||||
def test_exec_cmd_with_0_return_value(self):
|
||||
self.assertEqual("10\n", utils.exec_cmd(["echo", "10"]))
|
||||
|
||||
if os.path.exists(configuration_path):
|
||||
with open(configuration_path, 'rt') as f:
|
||||
logging_configuration = yaml.safe_load(f.read())
|
||||
logging.config.dictConfig(logging_configuration)
|
||||
logging.getLogger()
|
||||
def test_exec_cmd_with_timeout(self):
|
||||
with self.assertRaises(subprocess.TimeoutExpired) as context:
|
||||
utils.exec_cmd(["sleep", "10"], timeout=1)
|
||||
|
||||
|
||||
def tearDown(self):
|
||||
try:
|
||||
os.chdir(os.path.abspath(".."))
|
||||
except:
|
||||
pass
|
||||
|
||||
def test_metrics_eq(self):
|
||||
self.assertEqual(Metric("foo", {"abc": "1"}, "3"),
|
||||
Metric("foo", {"abc": "1"}, "3"))
|
||||
|
||||
self.assertNotEqual(Metric("foo", {"abc": "1"}, "3"),
|
||||
Metric("bar", {"abc": "1"}, "3"))
|
||||
self.assertNotEqual(Metric("foo", {"abc": "2"}, "3"),
|
||||
Metric("foo", {"abc": "1"}, "3"))
|
||||
self.assertNotEqual(Metric("foo", {"abc": "2"}, "3"),
|
||||
Metric("foo", {"abc": "2"}, "5"))
|
||||
|
||||
def test_export_metrics_to_file(self):
|
||||
metrics = []
|
||||
metrics.append(Metric("foo", {"bar": 2}, "3"))
|
||||
metrics.append(Metric("bar", {}, "4"))
|
||||
with tempfile.NamedTemporaryFile() as f:
|
||||
utils.export_metrics_to_file(f.name, metrics)
|
||||
lines = f.readlines()
|
||||
self.assertEqual("foo{bar=\"2\"} 3", lines[0].strip())
|
||||
self.assertEqual("bar 4", lines[1].strip())
|
||||
|
||||
def test_singleton_normal(self):
|
||||
def getter():
|
||||
return 100
|
||||
|
||||
singleton = utils.Singleton(getter)
|
||||
|
||||
for _ in xrange(10):
|
||||
val, is_old = singleton.try_get()
|
||||
self.assertEqual(100, val)
|
||||
self.assertFalse(is_old)
|
||||
|
||||
def test_singleton_with_blocking_getter_no_old_data(self):
|
||||
semaphore = threading.Semaphore(1)
|
||||
|
||||
def blocking_getter():
|
||||
semaphore.acquire(blocking=True)
|
||||
semaphore.release()
|
||||
return 100
|
||||
|
||||
singleton = utils.Singleton(blocking_getter, get_timeout_s=0.2)
|
||||
|
||||
val, is_old = singleton.try_get()
|
||||
self.assertIsNotNone(val)
|
||||
self.assertFalse(is_old)
|
||||
|
||||
for _ in xrange(3):
|
||||
semaphore.acquire()
|
||||
|
||||
for _ in xrange(3):
|
||||
val, is_old = singleton.try_get()
|
||||
self.assertEqual(100, val)
|
||||
self.assertTrue(is_old)
|
||||
|
||||
semaphore.release()
|
||||
val, is_old = singleton.try_get()
|
||||
self.assertEqual(100, val)
|
||||
self.assertFalse(is_old)
|
||||
|
||||
def test_singleton_with_blocking_getter_allow_old_data(self):
|
||||
semaphore = threading.Semaphore(1)
|
||||
|
||||
def blocking_getter():
|
||||
semaphore.acquire(blocking=True)
|
||||
semaphore.release()
|
||||
return 100
|
||||
|
||||
singleton = utils.Singleton(blocking_getter, get_timeout_s=0.2)
|
||||
|
||||
semaphore.acquire()
|
||||
|
||||
for _ in xrange(3):
|
||||
val, is_old = singleton.try_get()
|
||||
self.assertIsNone(val)
|
||||
self.assertTrue(is_old)
|
||||
|
||||
semaphore.release()
|
||||
# let singleton cache one value
|
||||
val, is_old = singleton.try_get()
|
||||
self.assertEqual(100, val)
|
||||
self.assertFalse(is_old)
|
||||
|
||||
for _ in xrange(3):
|
||||
semaphore.acquire()
|
||||
|
||||
for _ in xrange(3):
|
||||
# singleton returns old value
|
||||
val, is_old = singleton.try_get()
|
||||
self.assertEqual(100, val)
|
||||
self.assertTrue(is_old)
|
||||
|
||||
semaphore.release()
|
||||
val, is_old = singleton.try_get()
|
||||
self.assertEqual(100, val)
|
||||
self.assertFalse(is_old)
|
||||
def test_exec_cmd_with_non_0_return_value(self):
|
||||
with self.assertRaises(subprocess.CalledProcessError) as context:
|
||||
utils.exec_cmd(["false"])
|
||||
|
||||
if __name__ == '__main__':
|
||||
unittest.main()
|
||||
|
|
|
|||
|
|
@ -9,8 +9,6 @@ class NodeExporter(object):
|
|||
self.default_service_conf = default_service_conf
|
||||
|
||||
def validation_pre(self):
|
||||
print("cluster_config is %s, service_config is %s, default is %s" % \
|
||||
(self.cluster_conf, self.service_conf, self.default_service_conf))
|
||||
return True, None
|
||||
|
||||
def run(self):
|
||||
|
|
|
|||
|
|
@ -18,8 +18,6 @@
|
|||
apiVersion: apps/v1
|
||||
kind: DaemonSet
|
||||
metadata:
|
||||
annotations:
|
||||
prometheus.io/scrape: 'true'
|
||||
name: node-exporter
|
||||
spec:
|
||||
selector:
|
||||
|
|
@ -29,6 +27,10 @@ spec:
|
|||
metadata:
|
||||
labels:
|
||||
app: node-exporter
|
||||
annotations:
|
||||
prometheus.io/scrape: "true"
|
||||
prometheus.io/path: "/metrics"
|
||||
prometheus.io/port: "{{ cluster_cfg["node-exporter"]["port"] }}"
|
||||
name: node-exporter
|
||||
spec:
|
||||
containers:
|
||||
|
|
@ -38,17 +40,13 @@ spec:
|
|||
httpGet:
|
||||
path: /metrics
|
||||
port: {{ cluster_cfg["node-exporter"]["port"] }}
|
||||
initialDelaySeconds: 30
|
||||
initialDelaySeconds: 3
|
||||
periodSeconds: 30
|
||||
resources:
|
||||
limits:
|
||||
memory: "128Mi"
|
||||
volumeMounts:
|
||||
- mountPath: /datastorage/prometheus
|
||||
name: collector-mount
|
||||
name: node-exporter
|
||||
args:
|
||||
- '--collector.textfile.directory=/datastorage/prometheus'
|
||||
- '--no-collector.arp'
|
||||
- '--no-collector.bcache'
|
||||
- '--no-collector.bonding'
|
||||
|
|
@ -82,84 +80,9 @@ spec:
|
|||
- containerPort: {{ cluster_cfg["node-exporter"]["port"] }}
|
||||
hostPort: {{ cluster_cfg["node-exporter"]["port"] }}
|
||||
name: scrape
|
||||
- image: {{ cluster_cfg["cluster"]["docker-registry"]["prefix"] }}job-exporter:{{ cluster_cfg["cluster"]["docker-registry"]["tag"] }}
|
||||
imagePullPolicy: Always
|
||||
readinessProbe:
|
||||
exec:
|
||||
command:
|
||||
- "python"
|
||||
- "/job_exporter/no_older_than.py"
|
||||
- "--delta"
|
||||
- "120"
|
||||
- "/datastorage/prometheus/job_exporter.prom"
|
||||
- "/datastorage/prometheus/gpu_exporter.prom"
|
||||
initialDelaySeconds: 30
|
||||
periodSeconds: 30
|
||||
resources:
|
||||
limits:
|
||||
memory: "128Mi"
|
||||
securityContext:
|
||||
privileged: true # this is required by job-exporter
|
||||
env:
|
||||
- name: HOST_IP
|
||||
valueFrom:
|
||||
fieldRef:
|
||||
fieldPath: status.hostIP
|
||||
- name: LOGGING_LEVEL
|
||||
value: INFO
|
||||
- name: NV_DRIVER
|
||||
value: /var/drivers/nvidia/current
|
||||
volumeMounts:
|
||||
- mountPath: /root/.docker
|
||||
name: docker-cred-volume
|
||||
- mountPath: /bin/docker
|
||||
name: docker-bin
|
||||
- mountPath: /var/run/docker.sock
|
||||
name: docker-socket
|
||||
- mountPath: /dev
|
||||
name: device-mount
|
||||
- mountPath: /var/drivers/nvidia/current
|
||||
name: driver-path
|
||||
- mountPath: /datastorage/prometheus
|
||||
name: collector-mount
|
||||
- mountPath: /gpu-config
|
||||
name: gpu-config
|
||||
name: job-exporter
|
||||
volumes:
|
||||
- name: docker-bin
|
||||
hostPath:
|
||||
path: /bin/docker
|
||||
- name: docker-socket
|
||||
hostPath:
|
||||
path: /var/run/docker.sock
|
||||
- name: docker-cred-volume
|
||||
configMap:
|
||||
name: docker-credentials
|
||||
- name: device-mount
|
||||
hostPath:
|
||||
path: /dev
|
||||
- name: driver-path
|
||||
hostPath:
|
||||
path: /var/drivers/nvidia/current
|
||||
- name: collector-mount
|
||||
hostPath:
|
||||
path: {{ cluster_cfg["cluster"]["common"]["data-path"] }}/prometheus
|
||||
- name: rootfs
|
||||
hostPath:
|
||||
path: /
|
||||
- name: var-run
|
||||
hostPath:
|
||||
path: /var/run
|
||||
- name: sys
|
||||
hostPath:
|
||||
path: /sys
|
||||
- name: gpu-config
|
||||
configMap:
|
||||
name: gpu-configuration
|
||||
imagePullSecrets:
|
||||
- name: {{ cluster_cfg["cluster"]["docker-registry"]["secret-name"] }}
|
||||
hostNetwork: true
|
||||
hostPID: true # This is required since job-exporter should get list of pid in container
|
||||
tolerations:
|
||||
- key: node.kubernetes.io/memory-pressure
|
||||
operator: "Exists"
|
||||
|
|
|
|||
|
|
@ -17,7 +17,6 @@
|
|||
|
||||
prerequisite:
|
||||
- cluster-configuration
|
||||
- drivers
|
||||
|
||||
template-list:
|
||||
- node-exporter.yaml
|
||||
|
|
|
|||
|
|
@ -41,3 +41,11 @@ groups:
|
|||
type: pai_service
|
||||
annotations:
|
||||
summary: "{{$labels.job}} in {{$labels.instance}} not up detected"
|
||||
|
||||
- alert: JobExporterHangs
|
||||
expr: irate(collector_iteration_count_total[5m]) == 0
|
||||
for: 5m
|
||||
labels:
|
||||
type: pai_service
|
||||
annotations:
|
||||
summary: "{{$labels.name}} in {{$labels.instance}} hangs detected"
|
||||
|
|
|
|||
|
|
@ -29,19 +29,7 @@ data:
|
|||
rule_files:
|
||||
- "/etc/prometheus-alert/*.rules"
|
||||
scrape_configs:
|
||||
- job_name: "node_exporter"
|
||||
scrape_interval: {{ prom_info["scrape_interval"] }}s
|
||||
kubernetes_sd_configs:
|
||||
- api_server: "{{ cluster_cfg["kubernetes"]["api-servers-url"] }}"
|
||||
role: node
|
||||
# Extract label __address__ inner ip address and replace the port to exporter"s port to build target address.
|
||||
# Prometheus will fetch data from target address.
|
||||
relabel_configs:
|
||||
- source_labels: [__address__]
|
||||
regex: '([^:]+)(:\d*)?'
|
||||
replacement: "${1}:{{ cluster_cfg["node-exporter"]["port"] }}"
|
||||
target_label: __address__
|
||||
- job_name: "pai_serivce_exporter"
|
||||
- job_name: 'pai_serivce_exporter'
|
||||
scrape_interval: {{ prom_info["scrape_interval"] }}s
|
||||
kubernetes_sd_configs:
|
||||
- api_server: "{{ cluster_cfg["kubernetes"]["api-servers-url"] }}"
|
||||
|
|
|
|||
|
|
@ -39,8 +39,7 @@ spec:
|
|||
image: {{ cluster_cfg["cluster"]["docker-registry"]["prefix"] }}watchdog:{{cluster_cfg["cluster"]["docker-registry"]["tag"]}}
|
||||
imagePullPolicy: Always
|
||||
readinessProbe:
|
||||
httpGet:
|
||||
path: /
|
||||
tcpSocket: # because http get will trigger job-exporter abandom old metrics, so we use tcp instead of http
|
||||
port: 9101
|
||||
initialDelaySeconds: 30
|
||||
periodSeconds: 30
|
||||
|
|
|
|||
|
|
@ -23,7 +23,6 @@ import json
|
|||
import sys
|
||||
import requests
|
||||
import logging
|
||||
from logging.handlers import RotatingFileHandler
|
||||
import time
|
||||
import threading
|
||||
|
||||
|
|
|
|||
Загрузка…
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