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Added metric kafka_consumer_topic_lag #1

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21 changes: 21 additions & 0 deletions core/internal/httpserver/prometheus.go
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Original file line number Diff line number Diff line change
Expand Up @@ -53,6 +53,14 @@ var (
[]string{"cluster", "consumer_group", "topic", "partition"},
)

consumerTopicLagGauge = promauto.NewGaugeVec(
prometheus.GaugeOpts{
Name: "burrow_kafka_consumer_topic_lag",
Help: "Number of messages the consumer group is behind by for a topic as reported by Burrow",
},
[]string{"cluster", "consumer_group", "topic"},
)

topicPartitionOffsetGauge = promauto.NewGaugeVec(
prometheus.GaugeOpts{
Name: "burrow_kafka_topic_partition_offset",
Expand Down Expand Up @@ -127,6 +135,8 @@ func (hc *Coordinator) handlePrometheusMetrics() http.HandlerFunc {
consumerTotalLagGauge.With(labels).Set(float64(consumerStatus.TotalLag))
consumerStatusGauge.With(labels).Set(float64(consumerStatus.Status))

topicLags := make(map[string]uint64)

for _, partition := range consumerStatus.Partitions {
labels := map[string]string{
"cluster": cluster,
Expand All @@ -136,12 +146,23 @@ func (hc *Coordinator) handlePrometheusMetrics() http.HandlerFunc {
}

consumerPartitionLagGauge.With(labels).Set(float64(partition.CurrentLag))
topicLags[partition.Topic] += partition.CurrentLag

if partition.Complete == 1.0 {
consumerPartitionCurrentOffset.With(labels).Set(float64(partition.End.Offset))
partitionStatusGauge.With(labels).Set(float64(partition.Status))
}
}

for topic, lag := range topicLags {
labels := map[string]string{
"cluster": cluster,
"consumer_group": consumer,
"topic": topic,
}

consumerTopicLagGauge.With(labels).Set(float64(lag))
}
}

// Topics
Expand Down
4 changes: 4 additions & 0 deletions core/internal/httpserver/prometheus_test.go
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Original file line number Diff line number Diff line change
Expand Up @@ -155,6 +155,10 @@ func TestHttpServer_handlePrometheusMetrics(t *testing.T) {
assert.Contains(t, promExp, `burrow_kafka_consumer_partition_lag{cluster="testcluster",consumer_group="testgroup",partition="0",topic="incomplete"} 0`)
assert.Contains(t, promExp, `burrow_kafka_consumer_partition_lag{cluster="testcluster",consumer_group="testgroup",partition="1",topic="incomplete"} 10`)

assert.Contains(t, promExp, `burrow_kafka_consumer_topic_lag{cluster="testcluster",consumer_group="testgroup",topic="testtopic"} 110`)
assert.Contains(t, promExp, `burrow_kafka_consumer_topic_lag{cluster="testcluster",consumer_group="testgroup",topic="testtopic1"} 50`)
assert.Contains(t, promExp, `burrow_kafka_consumer_topic_lag{cluster="testcluster",consumer_group="testgroup",topic="incomplete"} 10`)

assert.Contains(t, promExp, `burrow_kafka_consumer_current_offset{cluster="testcluster",consumer_group="testgroup",partition="0",topic="testtopic"} 22663`)
assert.Contains(t, promExp, `burrow_kafka_consumer_current_offset{cluster="testcluster",consumer_group="testgroup",partition="1",topic="testtopic"} 2488`)
assert.Contains(t, promExp, `burrow_kafka_consumer_current_offset{cluster="testcluster",consumer_group="testgroup",partition="0",topic="testtopic1"} 99888`)
Expand Down