Files
nsq_exporter/collector/stats_channel.go
Thomas Nitsche 470c5a0ae2 Divide stats collector in sub-collectors.
In order to avoid timeouts in case of many clients,
it should be possible to configure which stats should
be collected.

Implements the following sub-collectors:
 * topics
 * channels
 * clients
2015-12-21 18:13:03 +01:00

105 lines
2.8 KiB
Go

package collector
import (
"strconv"
"github.com/prometheus/client_golang/prometheus"
)
type channelsCollector []struct {
val func(*channel) float64
vec *prometheus.GaugeVec
}
// ChannelsCollector creates a new stats collector which is able to
// expose the channel metrics of a nsqd node to Prometheus. The
// channel metrics are reported per topic.
func ChannelsCollector(namespace string) StatsCollector {
labels := []string{"type", "topic", "channel", "paused"}
return channelsCollector{
{
val: func(c *channel) float64 { return float64(len(c.Clients)) },
vec: prometheus.NewGaugeVec(prometheus.GaugeOpts{
Namespace: namespace,
Name: "client_count",
Help: "Number of clients",
}, labels),
},
{
val: func(c *channel) float64 { return float64(c.Depth) },
vec: prometheus.NewGaugeVec(prometheus.GaugeOpts{
Namespace: namespace,
Name: "depth",
Help: "Queue depth",
}, labels),
},
{
val: func(c *channel) float64 { return float64(c.BackendDepth) },
vec: prometheus.NewGaugeVec(prometheus.GaugeOpts{
Namespace: namespace,
Name: "backend_depth",
Help: "Queue backend depth",
}, labels),
},
{
val: func(c *channel) float64 { return float64(c.MessageCount) },
vec: prometheus.NewGaugeVec(prometheus.GaugeOpts{
Namespace: namespace,
Name: "message_count",
Help: "Queue message count",
}, labels),
},
{
val: func(c *channel) float64 { return float64(c.InFlightCount) },
vec: prometheus.NewGaugeVec(prometheus.GaugeOpts{
Namespace: namespace,
Name: "in_flight_count",
Help: "In flight count",
}, labels),
},
{
val: func(c *channel) float64 { return float64(c.DeferredCount) },
vec: prometheus.NewGaugeVec(prometheus.GaugeOpts{
Namespace: namespace,
Name: "deferred_count",
Help: "Deferred count",
}, labels),
},
{
val: func(c *channel) float64 { return float64(c.RequeueCount) },
vec: prometheus.NewGaugeVec(prometheus.GaugeOpts{
Namespace: namespace,
Name: "requeue_count",
Help: "Requeue Count",
}, labels),
},
{
val: func(c *channel) float64 { return float64(c.TimeoutCount) },
vec: prometheus.NewGaugeVec(prometheus.GaugeOpts{
Namespace: namespace,
Name: "timeout_count",
Help: "Timeout count",
}, labels),
},
}
}
func (coll channelsCollector) collect(s *stats, out chan<- prometheus.Metric) {
for _, topic := range s.Topics {
for _, channel := range topic.Channels {
labels := prometheus.Labels{
"type": "channel",
"topic": topic.Name,
"channel": channel.Name,
"paused": strconv.FormatBool(channel.Paused),
}
for _, c := range coll {
c.vec.With(labels).Set(c.val(channel))
c.vec.Collect(out)
}
}
}
}