BeeGFS on Demand collector
Toplevel beegfsmetaMetric
This folder contains the collectors for the cc-metric-collector.
{
"collector_type" : {
<collector specific configuration>
}
}
In contrast to the configuration files for sinks and receivers, the collectors configuration is not a list but a set of dicts. This is required because we didn’t manage to partially read the type before loading the remaining configuration. We are eager to change this to the same format.
cpustat
memstat
iostat
diskstat
loadavg
netstat
ibstat
ibstat_perfquery
tempstat
lustrestat
likwid
nvidia
customcmd
ipmistat
topprocs
nfs3stat
nfs4stat
cpufreq
cpufreq_cpuinfo
numastats
gpfs
beegfs_meta
beegfs_storage
rocm_smi
A collector reads data from any source, parses it to metrics and submits these metrics to the metric-collector
. A collector provides three function:
Name() string
: Return the name of the collectorInit(config json.RawMessage) error
: Initializes the collector using the given collector-specific config in JSON. Check if needed files/commands exists, …Initialized() bool
: Check if a collector is successfully initializedRead(duration time.Duration, output chan ccMetric.CCMetric)
: Read, parse and submit data to the output
channel as CCMetric
. If the collector has to measure anything for some duration, use the provided function argument duration
.Close()
: Closes down the collector.It is recommanded to call setup()
in the Init()
function.
Finally, the collector needs to be registered in the collectorManager.go
. There is a list of collectors called AvailableCollectors
which is a map (collector_type_string
-> pointer to MetricCollector interface
). Add a new entry with a descriptive name and the new collector.
package collectors
import (
"encoding/json"
"time"
lp "github.com/ClusterCockpit/cc-metric-collector/internal/ccMetric"
)
// 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 json.RawMessage) error {
// Check if already initialized
if m.init {
return nil
}
m.name = "SampleCollector"
m.setup()
if len(config) > 0 {
err := json.Unmarshal(config, &m.config)
if err != nil {
return err
}
}
m.meta = map[string]string{"source": m.name, "group": "Sample"}
m.init = true
return nil
}
func (m *SampleCollector) Read(interval time.Duration, output chan lp.CCMetric) {
if !m.init {
return
}
// tags for the metric, if type != node use proper type and type-id
tags := map[string]string{"type" : "node"}
x, err := GetMetric()
if err != nil {
cclog.ComponentError(m.name, fmt.Sprintf("Read(): %v", err))
}
// Each metric has exactly one field: value !
value := map[string]interface{}{"value": int64(x)}
if y, err := lp.New("sample_metric", tags, m.meta, value, time.Now()); err == nil {
output <- y
}
}
func (m *SampleCollector) Close() {
m.init = false
return
}
Toplevel beegfsmetaMetric
Toplevel beegfsstorageMetric
Toplevel cpufreqCpuinfoMetric
Toplevel cpufreqMetric
Toplevel cpustatMetric
Toplevel customCmdMetric
Toplevel diskstatMetric
Toplevel gpfsMetric
Toplevel infinibandMetric
Toplevel iostatMetric
Toplevel ipmiMetric
Toplevel likwidMetric
Toplevel loadavgMetric
Toplevel lustreMetric
Toplevel memstatMetric
Toplevel netstatMetric
Toplevel nfs3Metric
Toplevel nfs4Metric
Toplevel nfsiostatMetric
Toplevel numastatsMetric
Toplevel nvidiaMetric
Toplevel raplMetric
Toplevel rocmsmiMetric
Toplevel schedstatMetric
Toplevel selfMetric
Toplevel tempMetric
Toplevel topprocsMetric
Was this page helpful?
Glad to hear it! Please tell us how we can improve.
Sorry to hear that. Please tell us how we can improve.