/
metrics.go
134 lines (120 loc) · 3.95 KB
/
metrics.go
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package main
import (
"fmt"
"sync"
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/common/log"
kazoo "github.com/wvanbergen/kazoo-go"
)
func (c *collector) clusterMetrics(ch chan<- prometheus.Metric, client *kazoo.Kazoo) {
controller, err := client.Controller()
if err != nil {
log.Errorf("Error collecting cluster controller broker ID: %s", err)
c.zkErr = 1
return
}
// kafka_broker_is_controller{broker="123"} 1
ch <- prometheus.MustNewConstMetric(
c.metrics.controller,
prometheus.GaugeValue, 1,
fmt.Sprint(controller),
)
}
func (c *collector) topicMetrics(ch chan<- prometheus.Metric, topic *kazoo.Topic) {
// per partition metrics
partitions, err := topic.Partitions()
if err != nil {
log.Errorf("Error collecting list of partitions on '%s' topics: %s", topic.Name, err)
c.zkErr = 1
return
}
// kafka_topic_partition_count{topic="name"} 13
ch <- prometheus.MustNewConstMetric(
c.metrics.topicPartitions,
prometheus.GaugeValue, float64(partitions.Len()),
topic.Name,
)
wg := sync.WaitGroup{}
wg.Add(len(partitions))
for _, partition := range partitions {
go func(cz chan<- prometheus.Metric, t *kazoo.Topic, p *kazoo.Partition) {
c.partitionMetrics(cz, t, p)
wg.Done()
}(ch, topic, partition)
}
wg.Wait()
}
// called from topicMetrics() to extract per partition metrics
func (c *collector) partitionMetrics(ch chan<- prometheus.Metric, topic *kazoo.Topic, partition *kazoo.Partition) {
// kafka_topic_partition_replica_count{topic="name", partition="1"} 2
ch <- prometheus.MustNewConstMetric(
c.metrics.partitionReplicaCount,
prometheus.GaugeValue, float64(len(partition.Replicas)),
topic.Name, fmt.Sprint(partition.ID),
)
leader, err := partition.Leader()
if err != nil {
log.Errorf("Error fetching partition leader for partition %d on topic '%s': %s", partition.ID, topic.Name, err)
c.zkErr = 1
} else {
// kafka_topic_partition_leader{topic="name", partition="1", replica="10001"} 1
ch <- prometheus.MustNewConstMetric(
c.metrics.partitionLeader,
prometheus.GaugeValue, 1,
topic.Name, fmt.Sprint(partition.ID), fmt.Sprint(leader),
)
var isPreferred float64
if leader == partition.PreferredReplica() {
isPreferred = 1
}
// kafka_topic_partition_leader_is_preferred{topic="name", partition="1"} 1
ch <- prometheus.MustNewConstMetric(
c.metrics.partitionUsesPreferredReplica,
prometheus.GaugeValue, isPreferred,
topic.Name, fmt.Sprint(partition.ID),
)
}
isr, err := partition.ISR()
if err != nil {
log.Errorf("Error fetching partition ISR information for partition %d on topic '%s': %s", partition.ID, topic.Name, err)
c.zkErr = 1
} else {
for _, replica := range partition.Replicas {
var inSync float64
if int32InSlice(replica, isr) {
inSync = 1
}
// kafka_topic_partition_replica_in_sync{topic="name", partition="1", replica="10002"} 0
ch <- prometheus.MustNewConstMetric(
c.metrics.partitionISR,
prometheus.GaugeValue, inSync,
topic.Name, fmt.Sprint(partition.ID), fmt.Sprint(replica),
)
}
}
}
func (c *collector) consumerMetrics(ch chan<- prometheus.Metric, consumer *kazoo.Consumergroup) {
offsets, err := consumer.FetchAllOffsets()
if err != nil {
log.Errorf("Error collecting offset for consumer %s: %s", consumer.Name, err)
c.zkErr = 1
// Nothing left to do if we didn't get offsets
return
}
for topicName, topicParts := range offsets {
// Don't emit metrics for filtered topics.
// We already logged that we're skipping the topic in Collect(),
// so there's no need to log it for every consumer.
if len(c.topics) > 0 && !stringInSlice(topicName, c.topics) {
continue
}
for partitionID, partitionOffset := range topicParts {
// kafka_consumers_offsets{consumer="name",topic="name",partition="num"} 1234567890
ch <- prometheus.MustNewConstMetric(
c.metrics.consumersOffsets,
prometheus.CounterValue, float64(partitionOffset),
consumer.Name, topicName, fmt.Sprint(partitionID),
)
}
}
}