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package zio.kafka.consumer.internal
import zio.metrics.MetricKeyType.Histogram
import zio.metrics._
import zio._
/**
* Implementations of this trait are responsible for measuring all consumer metrics. The different methods are invoked
* from different places in the consumer.
*
* WARNING: This is an INTERNAL API and may change in an incompatible way, or disappear, without notice, in any
* zio-kafka version.
*/
private[internal] trait ConsumerMetrics {
def observePoll(resumedCount: Int, pausedCount: Int, latency: Duration, pollSize: Int): UIO[Unit]
def observeCommit(latency: Duration): UIO[Unit]
def observeAggregatedCommit(latency: Duration, commitSize: Long): UIO[Unit]
def observeRebalance(currentlyAssignedCount: Int, assignedCount: Int, revokedCount: Int, lostCount: Int): UIO[Unit]
def observeRunloopMetrics(state: Runloop.State, commandQueueSize: Int, commitQueueSize: Int): UIO[Unit]
def observePollAuthError(): UIO[Unit]
}
/**
* A `ConsumerMetrics` that uses zio-metrics for measuring.
*
* Sub-classes are allowed to override the Histogram boundaries.
*
* WARNING: This is an INTERNAL API and may change in an incompatible way, or disappear, without notice, in any
* zio-kafka version.
*
* @param metricLabels
* the metric labels that are added to each metric
*/
//noinspection ScalaWeakerAccess
private[internal] class ZioConsumerMetrics(metricLabels: Set[MetricLabel]) extends ConsumerMetrics {
// -----------------------------------------------------
//
// Poll metrics
//
// 0.01,0.03,0.08,0.21,0.55,1.49,4.04,10.97,29.81,81.04 in seconds
// 10,30,80,210,550,1490,4040,10970,29810,81040 in milliseconds
protected val pollLatencyBoundaries: Histogram.Boundaries =
MetricKeyType.Histogram.Boundaries.fromChunk(
Chunk.iterate(0.01, 10)(_ * Math.E).map(d => Math.ceil(d * 100.0) / 100.0)
)
// 1,3,8,21,55,149,404,1097,2981,8104
protected val pollSizeBoundaries: Histogram.Boundaries =
MetricKeyType.Histogram.Boundaries.fromChunk(Chunk.iterate(1.0, 10)(_ * Math.E).map(Math.ceil))
private val pollCounter: Metric.Counter[Int] =
Metric
.counterInt("ziokafka_consumer_polls", "The number of polls.")
.tagged(metricLabels)
private val partitionsResumedInLatestPollGauge: Metric.Gauge[Int] =
Metric
.gauge(
"ziokafka_consumer_partitions_resumed_in_latest_poll",
"The number of partitions resumed in the latest poll call."
)
.contramap[Int](_.toDouble)
.tagged(metricLabels)
private val partitionsPausedInLatestPollGauge: Metric.Gauge[Int] =
Metric
.gauge(
"ziokafka_consumer_partitions_paused_in_latest_poll",
"The number of partitions paused in the latest poll call (because of backpressure)."
)
.contramap[Int](_.toDouble)
.tagged(metricLabels)
private val pollLatencyHistogram: Metric.Histogram[Duration] =
Metric
.histogram(
"ziokafka_consumer_poll_latency_seconds",
"The duration of a single poll in seconds.",
pollLatencyBoundaries
)
.contramap[Duration](_.toNanos.toDouble / 1e9)
.tagged(metricLabels)
private val pollSizeHistogram: Metric.Histogram[Int] =
Metric
.histogram(
"ziokafka_consumer_poll_size",
"The number of records fetched by a single poll.",
pollSizeBoundaries
)
.contramap[Int](_.toDouble)
.tagged(metricLabels)
override def observePoll(resumedCount: Int, pausedCount: Int, latency: Duration, pollSize: Int): UIO[Unit] =
for {
_ <- pollCounter.increment
_ <- partitionsResumedInLatestPollGauge.update(resumedCount)
_ <- partitionsPausedInLatestPollGauge.update(pausedCount)
_ <- pollLatencyHistogram.update(latency)
_ <- pollSizeHistogram.update(pollSize)
} yield ()
// -----------------------------------------------------
//
// Commit metrics
//
// 0.01,0.03,0.08,0.21,0.55,1.49,4.04,10.97,29.81,81.04 in seconds
// 10,30,80,210,550,1490,4040,10970,29810,81040 in milliseconds
protected val commitLatencyBoundaries: Histogram.Boundaries =
MetricKeyType.Histogram.Boundaries.fromChunk(
Chunk.iterate(0.01, 10)(_ * Math.E).map(d => Math.ceil(d * 100.0) / 100.0)
)
private val commitCounter: Metric.Counter[Int] =
Metric
.counterInt("ziokafka_consumer_commits", "The number of commits.")
.tagged(metricLabels)
private val commitLatencyHistogram: Metric.Histogram[Duration] =
Metric
.histogram(
"ziokafka_consumer_commit_latency_seconds",
"The duration of a commit in seconds.",
commitLatencyBoundaries
)
.contramap[Duration](_.toNanos.toDouble / 1e9)
.tagged(metricLabels)
override def observeCommit(latency: zio.Duration): UIO[Unit] =
for {
_ <- commitCounter.increment
_ <- commitLatencyHistogram.update(latency)
} yield ()
// -----------------------------------------------------
//
// Aggregated commit metrics
//
// Each runloop cycle zio-kafka aggregates all commit requests into a single aggregated commit.
//
// 0.01,0.03,0.08,0.21,0.55,1.49,4.04,10.97,29.81,81.04 in seconds
// 10,30,80,210,550,1490,4040,10970,29810,81040 in milliseconds
protected val aggregatedCommitLatencyBoundaries: Histogram.Boundaries =
MetricKeyType.Histogram.Boundaries.fromChunk(
Chunk.iterate(0.01, 10)(_ * Math.E).map(d => Math.ceil(d * 100.0) / 100.0)
)
// 1,3,8,21,55,149,404,1097,2981,8104
protected val aggregatedCommitSizeBoundaries: Histogram.Boundaries =
MetricKeyType.Histogram.Boundaries.fromChunk(Chunk.iterate(1.0, 10)(_ * Math.E).map(Math.ceil))
private val aggregatedCommitCounter: Metric.Counter[Int] =
Metric
.counterInt("ziokafka_consumer_aggregated_commits", "The number of aggregated commits.")
.tagged(metricLabels)
private val aggregatedCommitLatencyHistogram: Metric.Histogram[Duration] =
Metric
.histogram(
"ziokafka_consumer_aggregated_commit_latency_seconds",
"The duration of an aggregated commit in seconds.",
aggregatedCommitLatencyBoundaries
)
.contramap[Duration](_.toNanos.toDouble / 1e9)
.tagged(metricLabels)
// Note: the metric is an approximation because the first commit to a partition is not included.
private val aggregatedCommitSizeHistogram: Metric.Histogram[Long] =
Metric
.histogram(
"ziokafka_consumer_aggregated_commit_size",
"An approximation of the number of records (offsets) per aggregated commit.",
aggregatedCommitSizeBoundaries
)
.contramap[Long](_.toDouble)
.tagged(metricLabels)
override def observeAggregatedCommit(latency: Duration, commitSize: Long): UIO[Unit] =
for {
_ <- aggregatedCommitCounter.increment
_ <- aggregatedCommitLatencyHistogram.update(latency)
_ <- aggregatedCommitSizeHistogram.update(commitSize)
} yield ()
// -----------------------------------------------------
//
// Rebalance metrics
//
private val rebalanceCounter: Metric.Counter[Int] =
Metric
.counterInt("ziokafka_consumer_rebalances", "The number of rebalances.")
.tagged(metricLabels)
private val partitionsCurrentlyAssignedGauge: Metric.Gauge[Int] =
Metric
.gauge(
"ziokafka_consumer_partitions_currently_assigned",
"The number of partitions currently assigned to the consumer."
)
.contramap[Int](_.toDouble)
.tagged(metricLabels)
private def partitionsToStateCounter(state: String): Metric.Counter[Int] =
Metric
.counterInt(
s"ziokafka_consumer_partitions_$state",
s"The number of partitions $state to the consumer."
)
.tagged(metricLabels)
private val partitionsAssignedCounter = partitionsToStateCounter("assigned")
private val partitionsRevokedCounter = partitionsToStateCounter("revoked")
private val partitionsLostCounter = partitionsToStateCounter("lost")
override def observeRebalance(
currentlyAssignedCount: Int,
assignedCount: Int,
revokedCount: Int,
lostCount: Int
): UIO[Unit] =
for {
_ <- rebalanceCounter.increment
_ <- partitionsCurrentlyAssignedGauge.update(currentlyAssignedCount)
_ <- partitionsAssignedCounter.incrementBy(assignedCount)
_ <- partitionsRevokedCounter.incrementBy(revokedCount)
_ <- partitionsLostCounter.incrementBy(lostCount)
} yield ()
// -----------------------------------------------------
//
// Runloop metrics
//
// 0,1,3,8,21,55,149,404,1097,2981
protected val streamCountBoundaries: Histogram.Boundaries =
MetricKeyType.Histogram.Boundaries.fromChunk(Chunk(0.0) ++ Chunk.iterate(1.0, 9)(_ * Math.E).map(Math.ceil))
// 0,100,272,739,2009,5460,14842,40343,109664,298096
protected val streamSizeBoundaries: Histogram.Boundaries =
MetricKeyType.Histogram.Boundaries.fromChunk(Chunk(0.0) ++ Chunk.iterate(100.0, 9)(_ * Math.E).map(Math.ceil))
protected val queuePollSizeBoundaries: Histogram.Boundaries =
MetricKeyType.Histogram.Boundaries.fromChunk(Chunk[Double](0, 1, 2, 3, 4, 5, 6, 7, 8, 9))
private val pendingRequestsHistogram: Metric.Histogram[Int] =
Metric
.histogram(
"ziokafka_consumer_pending_requests",
"The number of partitions that ran out of records (the queue is empty).",
streamCountBoundaries
)
.contramap[Int](_.toDouble)
.tagged(metricLabels)
private val pendingCommitsHistogram: Metric.Histogram[Int] =
Metric
.histogram(
"ziokafka_consumer_pending_commits",
"The number of commits that are awaiting completion.",
streamCountBoundaries
)
.contramap[Int](_.toDouble)
.tagged(metricLabels)
private val queueSizeHistogram: Metric.Histogram[Int] =
Metric
.histogram(
"ziokafka_consumer_queue_size",
"The number of records queued for a partition.",
streamSizeBoundaries
)
.contramap[Int](_.toDouble)
.tagged(metricLabels)
private val queuePollsHistogram: Metric.Histogram[Int] =
Metric
.histogram(
"ziokafka_consumer_queue_polls",
"The number of polls during which records are idling in a queue.",
queuePollSizeBoundaries
)
.contramap[Int](_.toDouble)
.tagged(metricLabels)
private val allQueueSizeHistogram: Metric.Histogram[Int] =
Metric
.histogram(
"ziokafka_consumer_all_queue_size",
"The total number of records queued for all partitions.",
streamSizeBoundaries
)
.contramap[Int](_.toDouble)
.tagged(metricLabels)
private val subscriptionStateGauge: Metric.Gauge[SubscriptionState] =
Metric
.gauge(
"ziokafka_consumer_subscription_state",
"Whether the consumer is subscribed (1) or not (0)."
)
.contramap[SubscriptionState](s => if (s.isSubscribed) 1 else 0)
.tagged(metricLabels)
// 0,1,3,8,21,55,149,404,1097,2981
protected val commandAndCommitQueueSizeBoundaries: Histogram.Boundaries =
MetricKeyType.Histogram.Boundaries.fromChunk(Chunk(0.0) ++ Chunk.iterate(1.0, 9)(_ * Math.E).map(Math.ceil))
private val commandQueueSizeHistogram: Metric.Histogram[Int] =
Metric
.histogram(
"ziokafka_consumer_command_queue_size",
"The number of commands queued in the consumer.",
commandAndCommitQueueSizeBoundaries
)
.contramap[Int](_.toDouble)
.tagged(metricLabels)
private val commitQueueSizeHistogram: Metric.Histogram[Int] =
Metric
.histogram(
"ziokafka_consumer_commit_queue_size",
"The number of commits queued in the consumer.",
commandAndCommitQueueSizeBoundaries
)
.contramap[Int](_.toDouble)
.tagged(metricLabels)
override def observeRunloopMetrics(state: Runloop.State, commandQueueSize: Int, commitQueueSize: Int): UIO[Unit] =
for {
_ <- ZIO.foreachDiscard(state.assignedStreams)(_.outstandingPolls @@ queuePollsHistogram)
queueSizes <- ZIO.foreach(state.assignedStreams)(_.queueSize)
_ <- ZIO.foreachDiscard(queueSizes)(qs => queueSizeHistogram.update(qs))
_ <- allQueueSizeHistogram.update(queueSizes.sum)
_ <- pendingRequestsHistogram.update(state.pendingRequests.size)
_ <- pendingCommitsHistogram.update(state.pendingCommits.size)
_ <- subscriptionStateGauge.update(state.subscriptionState)
_ <- commandQueueSizeHistogram.update(commandQueueSize)
_ <- commitQueueSizeHistogram.update(commitQueueSize)
} yield ()
// -----------------------------------------------------
//
// Poll auth error metrics
//
private val pollAuthErrorCounter: Metric.Counter[Int] =
Metric
.counterInt(
"ziokafka_consumer_poll_auth_errors",
"The number of polls that ended with an authentication or authorization error."
)
.tagged(metricLabels)
def observePollAuthError(): UIO[Unit] =
pollAuthErrorCounter.increment
}
