Thomas Gruber d98076c792
Merge current development version into main (#48)
* DiskstatCollector: cast part_max_used metric to int

* Add uint types to GangliaSink and LibgangliaSink

* Use new sink instances to allow multiple of same sink type

* Update sink README and SampleSink

* Use new receiver instances to allow multiple of same receiver type

* Fix metric scope in likwid configuration script

* Mention likwid config script in LikwidCollector README

* Refactor: Embed Init() into New() function

* Refactor: Embed Init() into New() function

* Fix: MetricReceiver uses uninitialized values, when initialization fails

* Use Ganglia configuration (#44)

* Copy all metric configurations from original Ganglia code

* Use metric configurations from Ganglia for some metrics

* Format value string also for known metrics

* Numa-aware memstat collector (#45)

* Add samples for collectors, sinks and receivers

* Ping InfluxDB server after connecting to recognize faulty connections

* Add sink for Prometheus monitoring system (#46)

* Add sink for Prometheus monitoring system

* Add prometheus sink to README

* Add scraper for Prometheus clients (#47)

Co-authored-by: Holger Obermaier <holgerob@gmx.de>
Co-authored-by: Holger Obermaier <40787752+ho-ob@users.noreply.github.com>
2022-02-25 14:49:49 +01:00
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CCMetric collectors

This folder contains the collectors for the cc-metric-collector.

Configuration

{
    "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.

Available collectors

Todos

  • Aggreate metrics to higher topology entity (sum hwthread metrics to socket metric, ...). Needs to be configurable

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:

  • Name() string: Return the name of the collector
  • Init(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 initialized
  • Read(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.

Sample 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
}