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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements. See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License. You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.kafka.streams;

import org.apache.kafka.common.Metric;
import org.apache.kafka.common.MetricName;
import org.apache.kafka.common.metrics.Sensor;

import java.util.Map;

/**
 * The Kafka Streams metrics interface for adding metric sensors and collecting metric values.
 */
public interface StreamsMetrics {

    /**
     * Get read-only handle on global metrics registry.
     *
     * @return Map of all metrics.
     */
    Map metrics();

    /**
     * Add a latency, rate and total sensor for a specific operation, which will include the following metrics:
     * 
    *
  1. average latency
  2. *
  3. max latency
  4. *
  5. invocation rate (num.operations / seconds)
  6. *
  7. total invocation count
  8. *
* Whenever a user records this sensor via {@link Sensor#record(double)} etc, it will be counted as one invocation * of the operation, and hence the rate / count metrics will be updated accordingly; and the recorded latency value * will be used to update the average / max latency as well. * * Note that you can add more metrics to this sensor after you created it, which can then be updated upon * {@link Sensor#record(double)} calls. * * The added sensor and its metrics can be removed with {@link #removeSensor(Sensor) removeSensor()}. * * @param scopeName name of the scope, which will be used as part of the metric type, e.g.: "stream-[scope]-metrics". * @param entityName name of the entity, which will be used as part of the metric tags, e.g.: "[scope]-id" = "[entity]". * @param operationName name of the operation, which will be used as the name of the metric, e.g.: "[operation]-latency-avg". * @param recordingLevel the recording level (e.g., INFO or DEBUG) for this sensor. * @param tags additional tags of the sensor * @return The added sensor. * @see #addRateTotalSensor(String, String, String, Sensor.RecordingLevel, String...) * @see #removeSensor(Sensor) * @see #addSensor(String, Sensor.RecordingLevel, Sensor...) */ Sensor addLatencyRateTotalSensor(final String scopeName, final String entityName, final String operationName, final Sensor.RecordingLevel recordingLevel, final String... tags); /** * Add a rate and a total sensor for a specific operation, which will include the following metrics: *
    *
  1. invocation rate (num.operations / time unit)
  2. *
  3. total invocation count
  4. *
* Whenever a user records this sensor via {@link Sensor#record(double)} etc, * it will be counted as one invocation of the operation, and hence the rate / count metrics will be updated accordingly. * * Note that you can add more metrics to this sensor after you created it, which can then be updated upon * {@link Sensor#record(double)} calls. * * The added sensor and its metrics can be removed with {@link #removeSensor(Sensor) removeSensor()}. * * @param scopeName name of the scope, which will be used as part of the metrics type, e.g.: "stream-[scope]-metrics". * @param entityName name of the entity, which will be used as part of the metric tags, e.g.: "[scope]-id" = "[entity]". * @param operationName name of the operation, which will be used as the name of the metric, e.g.: "[operation]-total". * @param recordingLevel the recording level (e.g., INFO or DEBUG) for this sensor. * @param tags additional tags of the sensor * @return The added sensor. * @see #addLatencyRateTotalSensor(String, String, String, Sensor.RecordingLevel, String...) * @see #removeSensor(Sensor) * @see #addSensor(String, Sensor.RecordingLevel, Sensor...) */ Sensor addRateTotalSensor(final String scopeName, final String entityName, final String operationName, final Sensor.RecordingLevel recordingLevel, final String... tags); /** * Add a latency and throughput sensor for a specific operation, which will include the following sensors: *
    *
  1. average latency
  2. *
  3. max latency
  4. *
  5. throughput (num.operations / time unit)
  6. *
* Also create a parent sensor with the same metrics that aggregates all entities with the same operation under the * same scope if it has not been created. * * @param scopeName name of the scope, could be the type of the state store, etc. * @param entityName name of the entity, could be the name of the state store instance, etc. * @param operationName name of the operation, could be get / put / delete / etc. * @param recordingLevel the recording level (e.g., INFO or DEBUG) for this sensor. * @param tags additional tags of the sensor * @return The added sensor. * @deprecated since 2.5. Use {@link #addLatencyRateTotalSensor(String, String, String, Sensor.RecordingLevel, String...) addLatencyRateTotalSensor()} * instead. */ @Deprecated Sensor addLatencyAndThroughputSensor(final String scopeName, final String entityName, final String operationName, final Sensor.RecordingLevel recordingLevel, final String... tags); /** * Record the given latency value of the sensor. * If the passed sensor includes throughput metrics, e.g., when created by the * {@link #addLatencyAndThroughputSensor(String, String, String, Sensor.RecordingLevel, String...)} method, then the * throughput metrics will also be recorded from this event. * * @param sensor sensor whose latency we are recording. * @param startNs start of measurement time in nanoseconds. * @param endNs end of measurement time in nanoseconds. * @deprecated since 2.5. Use {@link Sensor#record(double) Sensor#record()} instead. */ @Deprecated void recordLatency(final Sensor sensor, final long startNs, final long endNs); /** * Add a throughput sensor for a specific operation: *
    *
  1. throughput (num.operations / time unit)
  2. *
* Also create a parent sensor with the same metrics that aggregates all entities with the same operation under the * same scope if it has not been created. * This sensor is a strict subset of the sensors created by * {@link #addLatencyAndThroughputSensor(String, String, String, Sensor.RecordingLevel, String...)}. * * @param scopeName name of the scope, could be the type of the state store, etc. * @param entityName name of the entity, could be the name of the state store instance, etc. * @param operationName name of the operation, could be get / put / delete / etc. * @param recordingLevel the recording level (e.g., INFO or DEBUG) for this sensor. * @param tags additional tags of the sensor * @return The added sensor. * @deprecated since 2.5. Use {@link #addRateTotalSensor(String, String, String, Sensor.RecordingLevel, String...) * addRateTotalSensor()} instead. */ @Deprecated Sensor addThroughputSensor(final String scopeName, final String entityName, final String operationName, final Sensor.RecordingLevel recordingLevel, final String... tags); /** * Record the throughput value of a sensor. * * @param sensor add Sensor whose throughput we are recording * @param value throughput value * @deprecated since 2.5. Use {@link Sensor#record() Sensor#record()} instead. */ @Deprecated void recordThroughput(final Sensor sensor, final long value); /** * Generic method to create a sensor. * Note that for most cases it is advisable to use * {@link #addRateTotalSensor(String, String, String, Sensor.RecordingLevel, String...) addRateTotalSensor()} * or {@link #addLatencyRateTotalSensor(String, String, String, Sensor.RecordingLevel, String...) addLatencyRateTotalSensor()} * to ensure metric name well-formedness and conformity with the rest of the Kafka Streams code base. * However, if the above two methods are not sufficient, this method can also be used. * * @param name name of the sensor. * @param recordingLevel the recording level (e.g., INFO or DEBUG) for this sensor * @return The added sensor. * @see #addRateTotalSensor(String, String, String, Sensor.RecordingLevel, String...) * @see #addLatencyRateTotalSensor(String, String, String, Sensor.RecordingLevel, String...) * @see #removeSensor(Sensor) */ Sensor addSensor(final String name, final Sensor.RecordingLevel recordingLevel); /** * Generic method to create a sensor with parent sensors. * Note that for most cases it is advisable to use * {@link #addRateTotalSensor(String, String, String, Sensor.RecordingLevel, String...) addRateTotalSensor()} * or {@link #addLatencyRateTotalSensor(String, String, String, Sensor.RecordingLevel, String...) addLatencyRateTotalSensor()} * to ensure metric name well-formedness and conformity with the rest of the Kafka Streams code base. * However, if the above two methods are not sufficient, this method can also be used. * * @param name name of the sensor * @param recordingLevel the recording level (e.g., INFO or DEBUG) for this sensor * @return The added sensor. * @see #addRateTotalSensor(String, String, String, Sensor.RecordingLevel, String...) * @see #addLatencyRateTotalSensor(String, String, String, Sensor.RecordingLevel, String...) * @see #removeSensor(Sensor) */ Sensor addSensor(final String name, final Sensor.RecordingLevel recordingLevel, final Sensor... parents); /** * Remove a sensor. * @param sensor sensor to be removed */ void removeSensor(final Sensor sensor); }




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