cc-metric-collector/collectors/README.md

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This folder contains the collectors for the cc-metric-collector.
# `metricCollector.go`
The base class/configuration is located in `metricCollector.go`.
# Collectors
* `memstatMetric.go`: Reads `/proc/meminfo` to calculate **node** metrics. It also combines values to the metric `mem_used`
* `loadavgMetric.go`: Reads `/proc/loadavg` and submits **node** metrics:
* `netstatMetric.go`: Reads `/proc/net/dev` and submits for all network devices as the **node** metrics.
* `lustreMetric.go`: Reads Lustre's stats files and submits **node** metrics:
* `infinibandMetric.go`: Reads InfiniBand metrics. It uses the `perfquery` command to read the **node** metrics but can fallback to sysfs counters in case `perfquery` does not work.
* `likwidMetric.go`: Reads hardware performance events using LIKWID. It submits **socket** and **cpu** metrics
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* `cpustatMetric.go`: Read CPU specific values from `/proc/stat`
* `topprocsMetric.go`: Reads the TopX processes by their CPU usage. X is configurable
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* `nvidiaMetric.go`: Read data about Nvidia GPUs using the NVML library
* `tempMetric.go`: Read temperature data from `/sys/class/hwmon/hwmon*`
* `ipmiMetric.go`: Collect data from `ipmitool` or as fallback `ipmi-sensors`
* `customCmdMetric.go`: Run commands or read files and submit the output (output has to be in InfluxDB line protocol!)
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If any of the collectors cannot be initialized, it is excluded from all further reads. Like if the Lustre stat file is not a valid path, no Lustre specific metrics will be recorded.
# Collector configuration
```json
"collectors": [
"tempstat"
],
"collect_config": {
"tempstat": {
"tag_override": {
"hwmon0" : {
"type" : "socket",
"type-id" : "0"
},
"hwmon1" : {
"type" : "socket",
"type-id" : "1"
}
}
}
}
```
The configuration of the collectors in the main config files consists of two parts: active collectors (`collectors`) and collector configuration (`collect_config`). At startup, all collectors in the `collectors` list is initialized and, if successfully initialized, added to the active collectors for metric retrieval. At initialization the collector-specific configuration from the `collect_config` section is handed over. Each collector has own configuration options, check at the collector-specific section.
## `memstat`
```json
"memstat": {
"exclude_metrics": [
"mem_used"
]
}
```
The `memstat` collector reads data from `/proc/meminfo` and outputs a handful **node** metrics. If a metric is not required, it can be excluded from forwarding it to the sink.
Metrics:
* `mem_total`
* `mem_sreclaimable`
* `mem_slab`
* `mem_free`
* `mem_buffers`
* `mem_cached`
* `mem_available`
* `mem_shared`
* `swap_total`
* `swap_free`
* `mem_used` = `mem_total` - (`mem_free` + `mem_buffers` + `mem_cached`)
## `loadavg`
```json
"loadavg": {
"exclude_metrics": [
"proc_run"
]
}
```
The `loadavg` collector reads data from `/proc/loadavg` and outputs a handful **node** metrics. If a metric is not required, it can be excluded from forwarding it to the sink.
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Metrics:
* `load_one`
* `load_five`
* `load_fifteen`
* `proc_run`
* `proc_total`
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## `netstat`
```json
"netstat": {
"exclude_devices": [
"lo"
]
}
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```
The `netstat` collector reads data from `/proc/net/dev` and outputs a handful **node** metrics. If a device is not required, it can be excluded from forwarding it to the sink. Commonly the `lo` device should be excluded.
Metrics:
* `bytes_in`
* `bytes_out`
* `pkts_in`
* `pkts_out`
The device name is added as tag `device`.
## `diskstat`
```json
"diskstat": {
"exclude_metrics": [
"read_ms"
],
}
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```
The `netstat` collector reads data from `/proc/net/dev` and outputs a handful **node** metrics. If a metric is not required, it can be excluded from forwarding it to the sink.
Metrics:
* `reads`
* `reads_merged`
* `read_sectors`
* `read_ms`
* `writes`
* `writes_merged`
* `writes_sectors`
* `writes_ms`
* `ioops`
* `ioops_ms`
* `ioops_weighted_ms`
* `discards`
* `discards_merged`
* `discards_sectors`
* `discards_ms`
* `flushes`
* `flushes_ms`
The device name is added as tag `device`.
## `cpustat`
```json
"netstat": {
"exclude_metrics": [
"cpu_idle"
]
}
```
The `cpustat` collector reads data from `/proc/stats` and outputs a handful **node** and **hwthread** metrics. If a metric is not required, it can be excluded from forwarding it to the sink.
Metrics:
* `cpu_user`
* `cpu_nice`
* `cpu_system`
* `cpu_idle`
* `cpu_iowait`
* `cpu_irq`
* `cpu_softirq`
* `cpu_steal`
* `cpu_guest`
* `cpu_guest_nice`
## `likwid`
```json
"likwid": {
"eventsets": [
{
"events": {
"FIXC1": "ACTUAL_CPU_CLOCK",
"FIXC2": "MAX_CPU_CLOCK",
"PMC0": "RETIRED_INSTRUCTIONS",
"PMC1": "CPU_CLOCKS_UNHALTED",
"PMC2": "RETIRED_SSE_AVX_FLOPS_ALL",
"PMC3": "MERGE",
"DFC0": "DRAM_CHANNEL_0",
"DFC1": "DRAM_CHANNEL_1",
"DFC2": "DRAM_CHANNEL_2",
"DFC3": "DRAM_CHANNEL_3"
},
"metrics": [
{
"name": "ipc",
"calc": "PMC0/PMC1",
"socket_scope": false,
"publish": true
},
{
"name": "flops_any",
"calc": "0.000001*PMC2/time",
"socket_scope": false,
"publish": true
},
{
"name": "clock_mhz",
"calc": "0.000001*(FIXC1/FIXC2)/inverseClock",
"socket_scope": false,
"publish": true
},
{
"name": "mem1",
"calc": "0.000001*(DFC0+DFC1+DFC2+DFC3)*64.0/time",
"socket_scope": true,
"publish": false
}
]
},
{
"events": {
"DFC0": "DRAM_CHANNEL_4",
"DFC1": "DRAM_CHANNEL_5",
"DFC2": "DRAM_CHANNEL_6",
"DFC3": "DRAM_CHANNEL_7",
"PWR0": "RAPL_CORE_ENERGY",
"PWR1": "RAPL_PKG_ENERGY"
},
"metrics": [
{
"name": "pwr_core",
"calc": "PWR0/time",
"socket_scope": false,
"publish": true
},
{
"name": "pwr_pkg",
"calc": "PWR1/time",
"socket_scope": true,
"publish": true
},
{
"name": "mem2",
"calc": "0.000001*(DFC0+DFC1+DFC2+DFC3)*64.0/time",
"socket_scope": true,
"publish": false
}
]
}
],
"globalmetrics": [
{
"name": "mem_bw",
"calc": "mem1+mem2",
"socket_scope": true,
"publish": true
}
]
}
```
_Example config suitable for AMD Zen3_
The `likwid` collector reads hardware performance counters at a **hwthread** and **socket** level. The configuration looks quite complicated but it is basically copy&paste from [LIKWID's performance groups](https://github.com/RRZE-HPC/likwid/tree/master/groups). The collector made multiple iterations and tried to use the performance groups but it lacked flexibility. The current way of configuration provides most flexibility.
The logic is as following: There are multiple eventsets, each consisting of a list of counters+events and a list of metrics. If you compare a common performance group with the example setting above, there is not much difference:
```
EVENTSET -> "events": {
FIXC1 ACTUAL_CPU_CLOCK -> "FIXC1": "ACTUAL_CPU_CLOCK",
FIXC2 MAX_CPU_CLOCK -> "FIXC2": "MAX_CPU_CLOCK",
PMC0 RETIRED_INSTRUCTIONS -> "PMC0" : "RETIRED_INSTRUCTIONS",
PMC1 CPU_CLOCKS_UNHALTED -> "PMC1" : "CPU_CLOCKS_UNHALTED",
PMC2 RETIRED_SSE_AVX_FLOPS_ALL -> "PMC2": "RETIRED_SSE_AVX_FLOPS_ALL",
PMC3 MERGE -> "PMC3": "MERGE",
-> }
```
The metrics are following the same procedure:
```
METRICS -> "metrics": [
IPC PMC0/PMC1 -> {
-> "name" : "IPC",
-> "calc" : "PMC0/PMC1",
-> "socket_scope": false,
-> "publish": true
-> }
-> ]
```
The `socket_scope` option tells whether it is submitted per socket or per hwthread. If a metric is only used for internal calculations, you can set `publish = false`.
Since some metrics can only be gathered in multiple measurements (like the memory bandwidth on AMD Zen3 chips), configure multiple eventsets like in the example config and use the `globalmetrics` section to combine them. **Be aware** that the combination might be misleading because the "behavior" of a metric changes over time and the multiple measurements might count different computing phases.
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## Todos
[ ] Exclude devices for `diskstat` collector
[ ] Aggreate metrics to higher topology entity (sum hwthread metrics to socket metric, ...). Needs to be configurable
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# Contributing own collectors
A collector reads data from any source, parses it to metrics and submits these metrics to the `metric-collector`. A collector provides three function:
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* `Init(config []byte) error`: Initializes the collector using the given collector-specific config in JSON.
* `Read(duration time.Duration, out *[]lp.MutableMetric) error`: Read, parse and submit data to the `out` list. If the collector has to measure anything for some duration, use the provided function argument `duration`.
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* `Close()`: Closes down the collector.
It is recommanded to call `setup()` in the `Init()` function.
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Finally, the collector needs to be registered in the `metric-collector.go`. There is a list of collectors called `Collectors` which is a map (string -> pointer to collector). Add a new entry with a descriptive name and the new collector.
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## Sample collector
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```go
package collectors
import (
"encoding/json"
lp "github.com/influxdata/line-protocol"
"time"
)
// Struct for the collector-specific JSON config
type SampleCollectorConfig struct {
ExcludeMetrics []string `json:"exclude_metrics"`
}
type SampleCollector struct {
MetricCollector
config SampleCollectorConfig
}
func (m *SampleCollector) Init(config []byte) error {
m.name = "SampleCollector"
m.setup()
if len(config) > 0 {
err := json.Unmarshal(config, &m.config)
if err != nil {
return err
}
}
m.init = true
return nil
}
func (m *SampleCollector) Read(interval time.Duration, out *[]lp.MutableMetric) {
if !m.init {
return
}
// tags for the metric, if type != node use proper type and type-id
tags := map[string][string]{"type" : "node"}
// Each metric has exactly one field: value !
value := map[string]interface{}{"value": int(x)}
y, err := lp.New("sample_metric", tags, value, time.Now())
if err == nil {
*out = append(*out, y)
}
}
func (m *SampleCollector) Close() {
m.init = false
return
}
```