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authorkjaniak <kornel.janiak@nokia.com>2019-10-07 11:46:48 +0200
committerkjaniak <kornel.janiak@nokia.com>2019-10-08 20:38:34 +0200
commit2e334500fba9893f1f2d2ab3b9528c638d993a03 (patch)
treee1dcd04962cf25b51c55ace0994954c24f63c1a6 /sources/hv-collector-kafka-consumer/src
parentfb61c90d9e2531588fe2a9491b588a4bc65bcf97 (diff)
Add graphs for performance monitoring
Performance tests need graphs representing: total, message queue on HV-VES, offset per kafka topic partition, incoming data rate. Added deletion of producers at test end. Gauges for offsets turned to Range vector (distinguishable based on tag). Since Producer is to fast it was reconfigured to send messages with 1 ms interval. Change-Id: I09fc1edbcd824294d0bb89acc2ea2306a6df00ca Issue-ID: DCAEGEN2-1807 Signed-off-by: kjaniak <kornel.janiak@nokia.com>
Diffstat (limited to 'sources/hv-collector-kafka-consumer/src')
-rw-r--r--sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/metrics/MicrometerMetrics.kt2
-rw-r--r--sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/metrics/MicrometerMetricsTest.kt13
2 files changed, 7 insertions, 8 deletions
diff --git a/sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/metrics/MicrometerMetrics.kt b/sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/metrics/MicrometerMetrics.kt
index da6a4676..906fce23 100644
--- a/sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/metrics/MicrometerMetrics.kt
+++ b/sources/hv-collector-kafka-consumer/src/main/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/metrics/MicrometerMetrics.kt
@@ -36,7 +36,7 @@ internal class MicrometerMetrics constructor(
) : Metrics {
private val currentOffsetByTopicPartition = { topicPartition: String ->
- registry.gauge(name(OFFSET, PARTITION, topicPartition.toLowerCase()),
+ registry.gauge(name(OFFSET, PARTITION),
listOf(Tag.of(PARTITION, topicPartition)),
AtomicLong(0))
}.memoize<String, AtomicLong>()
diff --git a/sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/metrics/MicrometerMetricsTest.kt b/sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/metrics/MicrometerMetricsTest.kt
index cfe67df2..fec7e54e 100644
--- a/sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/metrics/MicrometerMetricsTest.kt
+++ b/sources/hv-collector-kafka-consumer/src/test/kotlin/org/onap/dcae/collectors/veshv/kafkaconsumer/metrics/MicrometerMetricsTest.kt
@@ -69,33 +69,32 @@ object MicrometerMetricsTest : Spek({
}
describe("Gauges") {
- val gaugeName1 = "$PREFIX.offset.partition.sample_topic-0"
- val gaugeName2 = "$PREFIX.offset.partition.sample_topic-1"
+ val gaugeName = "$PREFIX.offset.partition"
val offset1 = 966L
val offset2 = 967L
val topicPartition1 = TopicPartition("sample_topic", 0)
val topicPartition2 = TopicPartition("sample_topic", 1)
on("notifyOffsetChanged") {
- it("should update $gaugeName1") {
+ it("should update $gaugeName") {
cut.notifyOffsetChanged(offset1, topicPartition1)
- registry.verifyGauge(gaugeName1) {
+ registry.verifyGauge(name = gaugeName, tagValue = topicPartition1.toString()) {
assertThat(it.value()).isCloseTo(offset1.toDouble(), doublePrecision)
}
}
}
on("two partition update") {
- it("should update $gaugeName1") {
+ it("should update $gaugeName") {
cut.notifyOffsetChanged(offset1, topicPartition1)
cut.notifyOffsetChanged(offset2, topicPartition2)
- registry.verifyGauge(gaugeName1) {
+ registry.verifyGauge(name = gaugeName, tagValue = topicPartition1.toString()) {
assertThat(it.value()).isCloseTo(offset1.toDouble(), doublePrecision)
}
- registry.verifyGauge(gaugeName2) {
+ registry.verifyGauge(name = gaugeName, tagValue = topicPartition2.toString()) {
assertThat(it.value()).isCloseTo(offset2.toDouble(), doublePrecision)
}
}