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Comment: Updated task-metrics to the correct mbean name connector-task-metrics

Table of Contents

Status

Current stateUnder DiscussionApproved

Discussion thread: here

JIRA: here

...

There are several things that are out of scope for this proposal, though they may be addressed in future KIPs. First, this proposal expressly avoids changes to the Connect API, and therefore does not address how connector implementations can define their own connector-specific metrics. Second, Kafka Connect does not have any existing mechanism to aggregate the metrics reported by each workeracross multiple workers.

Public Interfaces

All of the following will be added via Kafka's metrics library like most of the metrics in the Kafka brokers and other components. The context of all metrics are limited to the worker where the metrics are being reported, and all metrics include the worker ID in the MBean attribute (similarly to how Kafka producer and consumer metrics include the client ID).

 

are defined as attributes on the specified MBean attribute and are measured within the context of a single worker. All metrics defined below are at the INFO recording level.

Connector Metrics

MBean namekafka.connect:type=connector-metrics,connector=([-.\w]+)


Metric/Attribute Name

Description

Implemented

...

Metric NameDescriptionMBean attribute
connector-typeThe type of the connector, one of: source, sink
kafka.connect:type=connector-metrics,name=connector-type,connector=([-.\w]+)
1.0.0
connector-classThe name of the connector class
kafka.connect:type=connector-metrics,name=connector-class,connector=([-.\w]+)
1.0.0
connector-versionThe version of the connector class, as reported by the connector in this worker
kafka.connect:type=connector-metrics,name=connector-version,connector=([-.\w]+)
1.0.0
statusThe current status of the connector in this worker, one of: running, paused, stopped 
 kafka
1.0.0

Common Task Metrics

MBean namekafka.connect:type=connector-task-metrics,

...

connector=([-.\w]+),task=([-.\w]+)

...

Metric/Attribute Name

Description

MBean attribute
Implemented
statusThe current status of this task, one of: unassigned, running, paused, failed, destroyed
kafka.connect:type=task-metrics,name=status,connector=([-.\w]+),task=([\d]+)
1.0.0
pause-ratioThe fraction of time this task has spent in the paused state.
kafka.connect:type=task-metrics,name=pause-ratio  ,connector=([-.\w]+),task=([\d]+)of
1.0.0
running-ratioThe fraction of time this task has spent in the running state.1.0.0
offset-commit-success-percentage
The average percentage
The average percentage of this task'
s offset
s offset commit attempts that succeeded
kafka.connect:type=task-metrics,name=offset-commit-success-percentage,connector=([-.\w]+),task=([\d]+)
1.0.0
offset-commit-failure-percentage
The average
The average percentage of this task's offset commit attempts that failed or had an error
kafka.connect:type=task-metrics,name=
1.0.0
offset-commit-
failure-percentage
max-time-msThe maximum time in milliseconds taken by this task to commit offsets1.0.0
,connector=([-.\w]+),task=([\d]+)
offset-commit-avg-time
The average time taken
-msThe average time in milliseconds taken by this task to commit offsets
kafka.connect:type=task-metrics,name=
1.0.0
offset-commit-99p-time-msThe 99th percentile time in milliseconds spent by this task to commit offsets to Kafka
offset-commit-
max
95p-time
,connector=([-.\w]+),task=([\d]+)
-msThe 95th percentile time in milliseconds spent by this task to commit offsets to Kafka
offset-commit-
max
90p-time-msThe
maximum
90th percentile time
taken
in milliseconds spent by this
task -metrics,name=
task to commit offsets to
commit offsetskafka.connect:type=task
Kafka
offset-commit-75p-time-msThe 75th percentile time in milliseconds spent by this task to commit offsets to Kafka
offset-commit-
max
50p-time
,connector=([-.\w]+),task=([\d]+)
-msThe 50th percentile (average) time in milliseconds spent by this task to commit offsets to Kafka
batch-size-maxThe maximum size of the batches processed by the connector
kafka.connect:type=task-metrics,name=batch-size-max,connector=([-.\w]+),task=([\d]+)
1.0.0
batch-size-avgThe average size of the batches processed by the connector1.0.0

Source Task Metrics

MBean namekafka.connect:type=source-task-metrics,

...

connector=([-.\w]+),task=([\d]+)

...

Source Task Metrics

 

Metric/Attribute NameDescription
MBean attribute
Implemented
source-record-poll-rateThe average per-second number of records produced/polled (before transformation) by this task belonging to the named source connector in this worker
. This is before transformations are applied.kafka.connect:type=source-task-metrics,name=source-record-produce-rate,connector=([-.\w]+),task=([\d]+)
.1.0.0
source-record-poll-totalThe number of records produced/polled (before transformation) by this task belonging to the named source connector in this worker, since the task was last restarted.1.0.0
source-record-write-rateThe average per-second number of records
per second output
output from the transformations and written to Kafka for this task belonging to the named source connector in this worker. This is after transformations are applied and excludes any records filtered out by the transformations.1.0.0
source-record-write-totalThe number of records output from the transformations and written to Kafka for this task belonging to the named source connector in this worker, since the task was last restarted.1.0.0
source-record-active-countThe most recent number of records that have been produced by this task but not yet completely written to Kafka.1.0.0
source-record-active-count-maxThe maximum number of records that have been produced by this task but not yet completely written to Kafka.1.0.0
source-record-active-count-avgThe average number of records that have been produced by this task but not yet completely written to Kafka.1.0.0
poll-batch-max-time-msThe maximum time in milliseconds taken by this task to poll for a batch of source records1.0.0
poll-batch-avg-time-msThe average time in milliseconds taken by this task to poll for a batch of source records1.0.0
poll-batch-99p-time-msThe 99th percentile time in milliseconds spent by this task to poll for a batch of source records
poll-batch-95p-time-msThe 95th percentile time in milliseconds spent by this task to poll for a batch of source records
poll-batch-90p-time-msThe 90th percentile time in milliseconds spent by this task to poll for a batch of source records
poll-batch-75p-time-msThe 75th percentile time in milliseconds spent by this task to poll for a batch of source records
poll-batch-50p-time-msThe 50th percentile (average) time in milliseconds spent by this task to poll for a batch of source records


Sink Task Metrics

MBean namekafka.connect:type=

...

sink-task-metrics,

...

connector=([-.\w]+),task=([\d]+)

...

 

...

Metric/Attribute Name

Description

MBean attribute
Implemented
sink-record-read-rateThe average per-second number of records read from Kafka for this task belonging to the named sink connector in this worker. This is before transformations are applied.
kafka.connect:type=sink-task-metrics,name=sink-
1.0.0
sink-record-read-
rate,connector=([-.\w]+),task=([\d]+)
totalThe total number of records produced/polled (before transformation) by this task belonging to the named source connector in this worker, since the task was last restarted.1.0.0
sink-record-send-rateThe average per-second numbrer of
records output
records output from the
transformations and
transformations and sent to this task belonging to the named sink connector in this worker.
This
 This is after transformations are applied and excludes any records filtered out by the transformations.
kafka.connect:type=sink-task-metrics,name=
1.0.0
sink-record-
process-rate  ,connector=([-.\w]+),task=([\d]+)
send-totalThe total number of records output from the transformations and sent to this task belonging to the named source connector in this worker, since the task was last restarted.1.0.0
sink-record-lag-maxThe maximum lag in terms of number of
records for any partition in this windowkafka.connect:type=sink-task-metrics,name=sink-record-lag-max,connector=([-.\w]+),task=([\d]+)sink-record-{topic}-{partition}.records-lagThe latest lag in terms of number of records behind the consumer the offset commits are for the topic partition.kafka.connect:type=sink-task-metrics,name=sink-record-{topic}-{partition}-lag,connector=([-.\w]+),task=([\d]+)sink-record-{topic}-{partition}.records-lag-avgThe average lag in terms of number of records behind the consumer the offset commits are for the topic partition.
records behind the consumer the offset commits are for any topic partitions.
sink-record-active-countThe most recent number of records that have been read from Kafka but not yet completely committed/flushed/acknowledged by the sink task.1.0.0
sink-record-active-count-maxThe maximum number of records that have been read from Kafka but not yet completely committed/flushed/acknowledged by the sink task.1.0.0
sink-record-active-count-avgThe average number of records that have been read from Kafka but not yet completely committed/flushed/acknowledged by the sink task.1.0.0
partition-countThe number of topic partitions assigned to this task belonging to the named sink connector in this worker.1.0.0
offset-commit-seq-noThe current sequence number for offset commits1.0.0
offset-commit-completion-rateThe average per-second number of offset commit completions that were completed successfully1.0.0
offset-commit-completion-totalThe total number of offset commit completions that were completed successfully1.0.0
offset-commit-skip-rateThe average per-second number of offset commit completions that were received too late and skipped/ignored1.0.0
offset-commit-skip-totalThe total number of offset commit completions that were received too late and skipped/ignored1.0.0
put-batch-max-time-msThe maximum time in milliseconds taken by this task to put a batch of sinks records1.0.0
put-batch-avg-time-msThe average time in milliseconds taken by this task to put a batch of sinks records1.0.0
put-batch-99p-time-msThe 99th percentile time in milliseconds spent by this task to put a batch of sinks records
put-batch-95p-time-msThe 95th percentile time in milliseconds spent by this task to put a batch of sinks records
put-batch-90p-time-msThe 90th percentile time in milliseconds spent by this task to put a batch of sinks records
put-batch-75p-time-msThe 75th percentile time in milliseconds spent by this task to put a batch of sinks records
put-batch-50p-time-msThe 50th percentile (average) time in milliseconds spent by this task to put a batch of sinks records
flush-max-time-msThe maximum time in milliseconds taken by this sink task to pre-commit/flush
flush-99p-time-msThe 99th percentile time in milliseconds spent by this sink task to pre-commit/flush
flush-95p-time-msThe 95th percentile time in milliseconds spent by this sink task to pre-commit/flush
flush-90p-time-msThe 90th percentile time in milliseconds spent by this sink task to pre-commit/flush
flush-75p-time-msThe 75th percentile time in milliseconds spent by this sink task to pre-commit/flush
flush-50p-time-msThe 50th percentile (average) time in milliseconds spent by this sink task to pre-commit/flush


MBean namekafka.connect:type=sink-task-metrics,

...

connector=

...

([-.\w]+),task=([\d]+),topic=([-.\w]+),

...

partition=([\d]+)

Metric/Attribute Name

Description

Implemented
sink-record-
{topic}-{partition}.records
lagThe latest lag in terms of number of records behind the consumer the offset commits are for the topic partition.
sink-record-lag-
max
avgThe
maximum
average lag in terms of number of records behind the consumer the offset commits are for the topic partition.
kafka.connect:type=sink-task-metrics,name=

sink-record
-{topic}-{partition}
-lag-max
,connector=([-.\w]+),task=([\d]+)partition-countThe number of topic partitions assigned to this task belonging to the named sink connector in this worker.
The maximum lag in terms of number of records behind the consumer the offset commits are for the topic partition.

Worker Metrics

MBean namekafka.connect:type=

...

connect-

...

worker-metrics

...

Worker Metrics

 

Metric/Attribute Name

Description

MBean attribute
Implemented
assigned

task-

tasks

count

The number of tasks run in this worker
(existing metric)kafka.connect:type=connect-coordinator-metrics,name=assigned-tasks
1.0.0
connector-count
assigned-connectors
The number of connectors run in this worker
(existing metric)kafka.connect:type=connect-coordinator-metrics,name=assigned-connectors

task-count

The number of tasks run in this workerkafka.connect:type=connect-worker-metrics,name=task-countconnector-countThe number of connectors run in this workerkafka.connect:type=connect-worker-metrics,name=connector-countleader-nameThe name of the group leaderkafka.connect:type=connect-worker-metrics,name=leader-name stateThe state of this worker, one of: rebalancing, runningkafka.connect:type=connect-worker-metrics,name=state 

...

1.0.0
connector-startup-attempts-totalThe total number of connector startups that this worker has attempted.1.0.0
connector-startup-success-totalThe total number of connector starts that succeeded.1.0.0
connector-startup-success-percentageThe average percentage of this worker's connectors starts that succeeded.1.0.0
connector-startup-failure-totalThe total number of connector starts that failed.1.0.0
connector-startup-failure-percentageThe average percentage of this worker's connectors starts that failed.1.0.0
task-startup-attempts-totalThe total number of task startups that this worker has attempted.1.0.0
task-startup-success-totalThe total number of task starts that succeeded.1.0.0
task-startup
Metric NameDescriptionMBean attributerebalance-success-totalThe total number of this worker's successful rebalanceskafka.connect:type=connect-worker-rebalance-metrics,name=rebalance-success-totalrebalance
-success-percentageThe average percentage of this worker's
rebalances that
task starts that succeeded.
kafka.connect:type=connect-worker-rebalance-metrics,name=rebalance-success-percentage rebalance-
1.0.0
task-startup-failure-totalThe total number of
this worker's failed rebalances
task starts that failed.1.0.0
task-startup-failure-
kafka.connect:type=connect-worker-rebalance-metrics,name=rebalance-failure-totalrebalance-failure-
percentageThe average percentage of this worker's
rebalances that failed
task starts that failed.1.0.0
rest-request-rateThe average per second number of requests handled by the REST endpoints in this worker
rest-request-totalThe total number of requests handled by the REST endpoints in this worker


Worker Rebalance Metrics

MBean namekafka.connect:type=connect-worker-rebalance-metrics

Metric/Attribute Name

Description

Implemented
leader-nameThe name of the group leader1.0.0
epochThe epoch or generation number of this worker1.0.0
completed-rebalances-totalThe total number of rebalances completed by this worker.1.0.0
rebalancingWhether this worker is currently rebalancing.1.0.0
,name=rebalance-failure-percentage
rebalance-max-time-msThe maximum time
spent
in milliseconds spent by this
worker to rebalancekafka.connect:type=connect-worker-rebalance-metrics,name=rebalance-max-time
worker to rebalance.1.0.0
rebalance-avg-time-msThe average time in milliseconds spent by this worker to rebalance.1.0.0
rebalance-99p-time-msThe 99th percentile time
spent
in milliseconds spent by this
worker to rebalance during rebalance-95p-time
worker to rebalance during the last window (defaults to an hour)
kafka.connect:type=connect-worker-rebalance-metrics,name=rebalance-99p-time

rebalance-95p-time-msThe 95th percentile time
spent
in milliseconds spent by this
worker to rebalance during
worker to rebalance during the last window (defaults to an hour)
kafka.connect:type=connect-worker-

rebalance-
metrics,name=rebalance-95p-timerebalance-90p-time
90p-time-msThe 90th percentile time
spent
in milliseconds spent by this
worker to rebalance during
worker to rebalance during the last window (defaults to an hour)
kafka.connect:type=connect-worker-rebalance-metrics,name=rebalance-90p-timerebalance-75p-time

rebalance-75p-time-msThe 75th percentile time
spent
in milliseconds spent by this
worker to rebalance during
worker to rebalance during the last window (defaults to an hour)
kafka.connect:type=connect-worker-

rebalance-
metrics
50p-time-msThe 50th percentile (average) time in milliseconds spent by this worker to rebalance during the last window (defaults to an hour)
,name=rebalance-75p-time

time-since-last-rebalance-msThe time
since
in milliseconds since the most recent rebalance in this worker
kafka.connect:type=connect-worker-rebalance-metrics,name=time-since-last-rebalancetask-failure-rateThe number of tasks that failed in this workerkafka.connect:type=connect-worker-rebalance-metrics,name=task-failure-rate

...

Metric NameDescriptionMBean attribute
request-rateThe average per second number of requests handled by the REST endpoints in this workerkafka.connect:type=worker-rest-metrics,name=request-rate

 

1.0.0

Configuration

The distributed and standalone worker configuration files will support the following properties. These exactly match the producer and consumer configurations of the same name. (The first three are already in the distributed worker configuration.)

Configuration FieldTypeDefaultImportanceDescription
metrics.sample.window.mslong30000lowThe window of time in milliseconds a metrics sample is computed over. Must be a non-negative number.
metrics.num.samplesint2lowThe number of samples maintained to compute metrics. Must be a positive number.
metric.reportersstring""lowA list of classes to use as metrics reporters. Implementing the MetricReporter interface allows plugging in classes that will be notified of new metric creation. The JmxReporter is always included to register JMX statistics.
metrics.recording.levelstring"INFO"lowThe highest recording level for metrics. Must be either "INFO" or "DEBUG".


Proposed Changes

We will add the relevant metrics and worker configuration properties as specified in the Public Interfaces section, except for the two existing metrics that will be left unmodified.

Compatibility, Deprecation, and Migration Plan

Two existing metrics exist but Existing Connect coordinator metrics will not be changed.

The metrics.sample.window.msmetrics.num.samples, and metric.reporters configurations already exist in the distrtibuted worker; these will also be added to the standalone worker. The metrics.recording.level configuration will be added to both the distributed and standalone worker configurations. All four of these metrics have sensible default values and therefore users do not need to add or override them in their existing configuration files.

Rejected Alternatives

NoneThe average per-second number of retried record sends for a topic.