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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.processor.internals;
import org.apache.kafka.clients.consumer.Consumer;
import org.apache.kafka.common.Metric;
import org.apache.kafka.common.MetricName;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.metrics.Sensor;
import org.apache.kafka.common.utils.LogContext;
import org.apache.kafka.common.utils.Time;
import org.apache.kafka.streams.KafkaClientSupplier;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.errors.StreamsException;
import org.apache.kafka.streams.internals.StreamsConfigUtils.ProcessingMode;
import org.apache.kafka.streams.processor.TaskId;
import org.apache.kafka.streams.processor.internals.metrics.StreamsMetricsImpl;
import org.apache.kafka.streams.processor.internals.metrics.ThreadMetrics;
import org.apache.kafka.streams.state.internals.ThreadCache;
import org.slf4j.Logger;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.UUID;
import java.util.stream.Collectors;
import static org.apache.kafka.streams.internals.StreamsConfigUtils.ProcessingMode.EXACTLY_ONCE_ALPHA;
import static org.apache.kafka.streams.internals.StreamsConfigUtils.eosEnabled;
import static org.apache.kafka.streams.internals.StreamsConfigUtils.processingMode;
import static org.apache.kafka.streams.processor.internals.ClientUtils.getTaskProducerClientId;
import static org.apache.kafka.streams.processor.internals.ClientUtils.getThreadProducerClientId;
class ActiveTaskCreator {
private final TopologyMetadata topologyMetadata;
private final StreamsConfig applicationConfig;
private final StreamsMetricsImpl streamsMetrics;
private final StateDirectory stateDirectory;
private final ChangelogReader storeChangelogReader;
private final ThreadCache cache;
private final Time time;
private final KafkaClientSupplier clientSupplier;
private final String threadId;
private final Logger log;
private final Sensor createTaskSensor;
private final StreamsProducer threadProducer;
private final Map taskProducers;
private final ProcessingMode processingMode;
private final boolean stateUpdaterEnabled;
private final boolean processingThreadsEnabled;
ActiveTaskCreator(final TopologyMetadata topologyMetadata,
final StreamsConfig applicationConfig,
final StreamsMetricsImpl streamsMetrics,
final StateDirectory stateDirectory,
final ChangelogReader storeChangelogReader,
final ThreadCache cache,
final Time time,
final KafkaClientSupplier clientSupplier,
final String threadId,
final UUID processId,
final Logger log,
final boolean stateUpdaterEnabled,
final boolean processingThreadsEnabled
) {
this.topologyMetadata = topologyMetadata;
this.applicationConfig = applicationConfig;
this.streamsMetrics = streamsMetrics;
this.stateDirectory = stateDirectory;
this.storeChangelogReader = storeChangelogReader;
this.cache = cache;
this.time = time;
this.clientSupplier = clientSupplier;
this.threadId = threadId;
this.log = log;
this.stateUpdaterEnabled = stateUpdaterEnabled;
this.processingThreadsEnabled = processingThreadsEnabled;
createTaskSensor = ThreadMetrics.createTaskSensor(threadId, streamsMetrics);
processingMode = processingMode(applicationConfig);
if (processingMode == EXACTLY_ONCE_ALPHA) {
threadProducer = null;
taskProducers = new HashMap<>();
} else { // non-eos and eos-v2
log.info("Creating thread producer client");
final String threadIdPrefix = String.format("stream-thread [%s] ", Thread.currentThread().getName());
final LogContext logContext = new LogContext(threadIdPrefix);
threadProducer = new StreamsProducer(
applicationConfig,
threadId,
clientSupplier,
null,
processId,
logContext,
time);
taskProducers = Collections.emptyMap();
}
}
public void reInitializeThreadProducer() {
threadProducer.resetProducer();
}
StreamsProducer streamsProducerForTask(final TaskId taskId) {
if (processingMode != EXACTLY_ONCE_ALPHA) {
throw new IllegalStateException("Expected EXACTLY_ONCE to be enabled, but the processing mode was " + processingMode);
}
final StreamsProducer taskProducer = taskProducers.get(taskId);
if (taskProducer == null) {
throw new IllegalStateException("Unknown TaskId: " + taskId);
}
return taskProducer;
}
StreamsProducer threadProducer() {
if (processingMode == EXACTLY_ONCE_ALPHA) {
throw new IllegalStateException("Expected AT_LEAST_ONCE or EXACTLY_ONCE_V2 to be enabled, but the processing mode was " + processingMode);
}
return threadProducer;
}
// TODO: convert to StreamTask when we remove TaskManager#StateMachineTask with mocks
public Collection createTasks(final Consumer consumer,
final Map> tasksToBeCreated) {
final List createdTasks = new ArrayList<>();
for (final Map.Entry> newTaskAndPartitions : tasksToBeCreated.entrySet()) {
final TaskId taskId = newTaskAndPartitions.getKey();
final LogContext logContext = getLogContext(taskId);
final Set partitions = newTaskAndPartitions.getValue();
final ProcessorTopology topology = topologyMetadata.buildSubtopology(taskId);
final ProcessorStateManager stateManager = new ProcessorStateManager(
taskId,
Task.TaskType.ACTIVE,
eosEnabled(applicationConfig),
logContext,
stateDirectory,
storeChangelogReader,
topology.storeToChangelogTopic(),
partitions,
stateUpdaterEnabled);
final InternalProcessorContext context = new ProcessorContextImpl(
taskId,
applicationConfig,
stateManager,
streamsMetrics,
cache
);
createdTasks.add(
createActiveTask(
taskId,
partitions,
consumer,
logContext,
topology,
stateManager,
context
)
);
}
return createdTasks;
}
private RecordCollector createRecordCollector(final TaskId taskId,
final LogContext logContext,
final ProcessorTopology topology) {
final StreamsProducer streamsProducer;
if (processingMode == ProcessingMode.EXACTLY_ONCE_ALPHA) {
log.info("Creating producer client for task {}", taskId);
streamsProducer = new StreamsProducer(
applicationConfig,
threadId,
clientSupplier,
taskId,
null,
logContext,
time
);
taskProducers.put(taskId, streamsProducer);
} else {
streamsProducer = threadProducer;
}
return new RecordCollectorImpl(
logContext,
taskId,
streamsProducer,
applicationConfig.defaultProductionExceptionHandler(),
streamsMetrics,
topology
);
}
/*
* TODO: we pass in the new input partitions to validate if they still match,
* in the future we when we have fixed partitions -> tasks mapping,
* we should always reuse the input partition and hence no need validations
*/
StreamTask createActiveTaskFromStandby(final StandbyTask standbyTask,
final Set inputPartitions,
final Consumer consumer) {
if (!inputPartitions.equals(standbyTask.inputPartitions)) {
log.warn("Detected unmatched input partitions for task {} when recycling it from standby to active", standbyTask.id);
}
standbyTask.prepareRecycle();
standbyTask.stateMgr.transitionTaskType(Task.TaskType.ACTIVE, getLogContext(standbyTask.id));
final RecordCollector recordCollector = createRecordCollector(standbyTask.id, getLogContext(standbyTask.id), standbyTask.topology);
final StreamTask task = new StreamTask(
standbyTask.id,
inputPartitions,
standbyTask.topology,
consumer,
standbyTask.config,
streamsMetrics,
stateDirectory,
cache,
time,
standbyTask.stateMgr,
recordCollector,
standbyTask.processorContext,
standbyTask.logContext,
processingThreadsEnabled
);
log.trace("Created active task {} from recycled standby task with assigned partitions {}", task.id, inputPartitions);
createTaskSensor.record();
return task;
}
private StreamTask createActiveTask(final TaskId taskId,
final Set inputPartitions,
final Consumer consumer,
final LogContext logContext,
final ProcessorTopology topology,
final ProcessorStateManager stateManager,
final InternalProcessorContext context) {
final RecordCollector recordCollector = createRecordCollector(taskId, logContext, topology);
final StreamTask task = new StreamTask(
taskId,
inputPartitions,
topology,
consumer,
topologyMetadata.getTaskConfigFor(taskId),
streamsMetrics,
stateDirectory,
cache,
time,
stateManager,
recordCollector,
context,
logContext,
processingThreadsEnabled
);
log.trace("Created active task {} with assigned partitions {}", taskId, inputPartitions);
createTaskSensor.record();
return task;
}
void closeThreadProducerIfNeeded() {
if (threadProducer != null) {
try {
threadProducer.close();
} catch (final RuntimeException e) {
throw new StreamsException("Thread producer encounter error trying to close.", e);
}
}
}
void closeAndRemoveTaskProducerIfNeeded(final TaskId id) {
final StreamsProducer taskProducer = taskProducers.remove(id);
if (taskProducer != null) {
try {
taskProducer.close();
} catch (final RuntimeException e) {
throw new StreamsException("[" + id + "] task producer encounter error trying to close.", e, id);
}
}
}
Map producerMetrics() {
// When EOS is turned on, each task will have its own producer client
// and the producer object passed in here will be null. We would then iterate through
// all the active tasks and add their metrics to the output metrics map.
final Collection producers = threadProducer != null ?
Collections.singleton(threadProducer) :
taskProducers.values();
return ClientUtils.producerMetrics(producers);
}
Set producerClientIds() {
if (threadProducer != null) {
return Collections.singleton(getThreadProducerClientId(threadId));
} else {
return taskProducers.keySet()
.stream()
.map(taskId -> getTaskProducerClientId(threadId, taskId))
.collect(Collectors.toSet());
}
}
private LogContext getLogContext(final TaskId taskId) {
final String threadIdPrefix = String.format("stream-thread [%s] ", Thread.currentThread().getName());
final String logPrefix = threadIdPrefix + String.format("%s [%s] ", "stream-task", taskId);
return new LogContext(logPrefix);
}
public double totalProducerBlockedTime() {
if (threadProducer != null) {
return threadProducer.totalBlockedTime();
}
return taskProducers.values().stream()
.mapToDouble(StreamsProducer::totalBlockedTime)
.sum();
}
}
