sebastienviale commented on code in PR #22725: URL: https://github.com/apache/kafka/pull/22725#discussion_r3615120832
########## streams/test-utils/src/main/java/org/apache/kafka/streams/MultiPartitionRuntime.java: ########## @@ -0,0 +1,579 @@ +/* + * 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.clients.consumer.ConsumerRecord; +import org.apache.kafka.clients.consumer.MockConsumer; +import org.apache.kafka.clients.consumer.OffsetAndMetadata; +import org.apache.kafka.clients.producer.MockProducer; +import org.apache.kafka.clients.producer.ProducerRecord; +import org.apache.kafka.common.TopicPartition; +import org.apache.kafka.common.header.Headers; +import org.apache.kafka.common.header.internals.RecordHeaders; +import org.apache.kafka.common.record.TimestampType; +import org.apache.kafka.common.utils.Time; +import org.apache.kafka.common.utils.Utils; +import org.apache.kafka.common.utils.internals.LogContext; +import org.apache.kafka.streams.TopologyConfig.TaskConfig; +import org.apache.kafka.streams.processor.StateStore; +import org.apache.kafka.streams.processor.TaskId; +import org.apache.kafka.streams.processor.internals.GlobalStateManager; +import org.apache.kafka.streams.processor.internals.InternalProcessorContext; +import org.apache.kafka.streams.processor.internals.InternalTopologyBuilder; +import org.apache.kafka.streams.processor.internals.ProcessorContextImpl; +import org.apache.kafka.streams.processor.internals.ProcessorRecordContext; +import org.apache.kafka.streams.processor.internals.ProcessorStateManager; +import org.apache.kafka.streams.processor.internals.ProcessorTopology; +import org.apache.kafka.streams.processor.internals.RecordCollector; +import org.apache.kafka.streams.processor.internals.RecordCollectorImpl; +import org.apache.kafka.streams.processor.internals.StateDirectory; +import org.apache.kafka.streams.processor.internals.StreamTask; +import org.apache.kafka.streams.processor.internals.StreamsProducer; +import org.apache.kafka.streams.processor.internals.Task; +import org.apache.kafka.streams.processor.internals.metrics.StreamsMetricsImpl; +import org.apache.kafka.streams.processor.internals.metrics.TaskMetrics; +import org.apache.kafka.streams.state.internals.ThreadCache; + +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashMap; +import java.util.HashSet; +import java.util.LinkedList; +import java.util.List; +import java.util.Map; +import java.util.Optional; +import java.util.Queue; +import java.util.Set; +import java.util.TreeMap; +import java.util.concurrent.atomic.AtomicLong; + +/** + * Owns the multi-partition task graph and record routing for {@link TopologyTestDriver}. It builds + * one {@link StreamTask} per {@code (subtopologyId, partition)} pair from a + * {@link MultiPartitionTopologyPlan} and drives processing, punctuation, state-store access and + * shutdown of those tasks. It collaborates with the driver through the {@link Host} callbacks for + * the work that remains the driver's responsibility (transactional commit, global-state updates, + * global-partition lookups and recording output records). + */ +final class MultiPartitionRuntime { + + private static final Logger log = LoggerFactory.getLogger(MultiPartitionRuntime.class); + + private final MultiPartitionTopologyPlan plan; + private final InternalTopologyBuilder internalTopologyBuilder; + private final MockConsumer<byte[], byte[]> consumer; + private final MockProducer<byte[], byte[]> producer; + private final StreamsProducer testDriverProducer; + private final GlobalStateManager globalStateManager; + private final StreamsConfig streamsConfig; + private final TaskConfig taskConfig; + private final StreamsMetricsImpl streamsMetrics; + private final ThreadCache cache; + private final StateDirectory stateDirectory; + private final LogContext logContext; + private final Time wallClockTime; + private final Host host; + + private final TreeMap<TaskId, StreamTask> tasks = new TreeMap<>(); + private final Map<TopicPartition, TaskId> taskByTopicPartition = new HashMap<>(); + private final Map<String, Map<Integer, Queue<ProducerRecord<byte[], byte[]>>>> outputByTopicPartition = new HashMap<>(); + private final Map<String, Integer> nullKeyRoundRobinByTopic = new HashMap<>(); + private final Map<TopicPartition, AtomicLong> offsets = new HashMap<>(); + + interface Host { + void commit(Map<TopicPartition, OffsetAndMetadata> offsets); + void processGlobalRecord(TopicPartition partition, long timestamp, byte[] key, byte[] value, Headers headers); + TopicPartition globalPartitionOrNull(String topic); + void recordOutput(String topic, ProducerRecord<byte[], byte[]> record); + } + + MultiPartitionRuntime(final MultiPartitionTopologyPlan plan, + final InternalTopologyBuilder internalTopologyBuilder, + final MockConsumer<byte[], byte[]> consumer, + final MockProducer<byte[], byte[]> producer, + final StreamsProducer testDriverProducer, + final GlobalStateManager globalStateManager, + final StreamsConfig streamsConfig, + final TaskConfig taskConfig, + final StreamsMetricsImpl streamsMetrics, + final ThreadCache cache, + final StateDirectory stateDirectory, + final LogContext logContext, + final Time wallClockTime, + final Host host) { + this.plan = plan; + this.internalTopologyBuilder = internalTopologyBuilder; + this.consumer = consumer; + this.producer = producer; + this.testDriverProducer = testDriverProducer; + this.globalStateManager = globalStateManager; + this.streamsConfig = streamsConfig; + this.taskConfig = taskConfig; + this.streamsMetrics = streamsMetrics; + this.cache = cache; + this.stateDirectory = stateDirectory; + this.logContext = logContext; + this.wallClockTime = wallClockTime; + this.host = host; + } + + /** + * Build one {@link StreamTask} per {@code (subtopologyId, partition)} pair using the structures + * computed by the plan. All tasks share the driver's single {@link #consumer} and the + * {@link #testDriverProducer} as their record collector's producer. + */ + void build() { + final List<TopicPartition> allSourcePartitions = new ArrayList<>(); + final String threadId = Thread.currentThread().getName(); + + for (final int sid : plan.subtopologyIds()) { + final ProcessorTopology pt = plan.subtopology(sid); + if (pt.sourceTopics().isEmpty()) { + continue; + } + final int numPartitions = plan.partitionsOfSubtopology(sid); + + // Register an offset counter for every (source-topic, partition) the sub-topology consumes. + for (final String src : pt.sourceTopics()) { + final int n = plan.partitionsOfTopic(src); + for (int p = 0; p < n; p++) { + final TopicPartition tp = new TopicPartition(src, p); + offsets.putIfAbsent(tp, new AtomicLong()); + allSourcePartitions.add(tp); + } + } + + for (int p = 0; p < numPartitions; p++) { + // Build a fresh ProcessorTopology per task: ProcessorNode state (sources, processors, + // store handles) is single-init and would otherwise throw "The processor is not closed" + // when the second task tries to initialize the same instance. + final ProcessorTopology freshPt = internalTopologyBuilder.buildSubtopology(sid); + buildOneTask(sid, p, freshPt, threadId); + } + } + + if (!allSourcePartitions.isEmpty()) { + consumer.assign(allSourcePartitions); + final Map<TopicPartition, Long> startOffsets = new HashMap<>(); + for (final TopicPartition tp : allSourcePartitions) { + startOffsets.put(tp, 0L); + } + consumer.updateBeginningOffsets(startOffsets); + consumer.updateEndOffsets(startOffsets); + } + } + + private void buildOneTask(final int sid, + final int partition, + final ProcessorTopology pt, + final String threadId) { + final TaskId taskId = new TaskId(sid, partition); + TaskMetrics.droppedRecordsSensor(threadId, taskId.toString(), streamsMetrics); + + // This task owns partition {@code p} of each source topic that has at least p+1 partitions. + final Set<TopicPartition> inputPartitions = new HashSet<>(); + for (final String src : pt.sourceTopics()) { + final int n = plan.partitionsOfTopic(src); + if (partition < n) { + final TopicPartition tp = new TopicPartition(src, partition); + inputPartitions.add(tp); + taskByTopicPartition.put(tp, taskId); + } + } + if (inputPartitions.isEmpty()) { + return; + } + + final ProcessorStateManager stateManager = new ProcessorStateManager( + taskId, + Task.TaskType.ACTIVE, + StreamsConfig.EXACTLY_ONCE_V2.equals(streamsConfig.getString(StreamsConfig.PROCESSING_GUARANTEE_CONFIG)), + streamsConfig.getBoolean(StreamsConfig.TRANSACTIONAL_STATE_STORES_CONFIG), + logContext, + stateDirectory, + pt.storeToChangelogTopic(), + new HashSet<>(inputPartitions)); + final RecordCollector recordCollector = new RecordCollectorImpl( + logContext, + taskId, + testDriverProducer, + streamsConfig.productionExceptionHandler(), + streamsMetrics, + pt + ); + final InternalProcessorContext<?, ?> context = new ProcessorContextImpl( + taskId, + streamsConfig, + stateManager, + streamsMetrics, + cache + ); + final StreamTask task = new StreamTask( + taskId, + new HashSet<>(inputPartitions), + pt, + consumer, + taskConfig, + streamsMetrics, + stateDirectory, + cache, + wallClockTime, + stateManager, + recordCollector, + context, + logContext, + false + ); + task.initializeIfNeeded(); + task.completeRestoration(noOpResetter -> { }); + task.processorContext().setRecordContext(null); + tasks.put(taskId, task); + } + + /** + * Resolve the partition a record routes to. + * Explicit partition wins; otherwise {@code Utils.toPositive(Utils.murmur2(keyBytes)) % n} matches + * {@code BuiltInPartitioner.partitionForKey}; null key or n == 1 routes to partition 0. + */ + private int resolvePartition(final String topic, final byte[] keyBytes, final int explicit) { + final int n = Math.max(1, plan.partitionsOfTopic(topic)); + // A negative explicit partition is the "unset" sentinel (TestRecord default): route by key instead. + if (explicit >= 0) { + if (explicit >= n) { + throw new IllegalArgumentException( + "Partition " + explicit + " is out of range for topic '" + topic + + "' (has " + n + " partitions). Declare a higher count via declareTopic() if needed."); + } + return explicit; + } + if (n == 1) { + return 0; + } + if (keyBytes == null) { + // Distribute null-key records round-robin across the topic's partitions. + final int count = nullKeyRoundRobinByTopic.merge(topic, 1, Integer::sum); + return (count - 1) % n; + } + return Utils.toPositive(Utils.murmur2(keyBytes)) % n; + } + + /** + * Multi-sub-topology pipe path. Routes the record to the task owning the resolved + * (topic, partition) and drains every task to quiescence before returning. + */ + void pipeRecord(final String topicName, + final long timestamp, + final byte[] key, + final byte[] value, + final Headers headers, + final int explicitPartition) { + final boolean isTaskInput = (plan.subtopologyForInputTopic(topicName) != null); Review Comment: done ########## streams/test-utils/src/main/java/org/apache/kafka/streams/MultiPartitionRuntime.java: ########## @@ -0,0 +1,579 @@ +/* + * 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.clients.consumer.ConsumerRecord; +import org.apache.kafka.clients.consumer.MockConsumer; +import org.apache.kafka.clients.consumer.OffsetAndMetadata; +import org.apache.kafka.clients.producer.MockProducer; +import org.apache.kafka.clients.producer.ProducerRecord; +import org.apache.kafka.common.TopicPartition; +import org.apache.kafka.common.header.Headers; +import org.apache.kafka.common.header.internals.RecordHeaders; +import org.apache.kafka.common.record.TimestampType; +import org.apache.kafka.common.utils.Time; +import org.apache.kafka.common.utils.Utils; +import org.apache.kafka.common.utils.internals.LogContext; +import org.apache.kafka.streams.TopologyConfig.TaskConfig; +import org.apache.kafka.streams.processor.StateStore; +import org.apache.kafka.streams.processor.TaskId; +import org.apache.kafka.streams.processor.internals.GlobalStateManager; +import org.apache.kafka.streams.processor.internals.InternalProcessorContext; +import org.apache.kafka.streams.processor.internals.InternalTopologyBuilder; +import org.apache.kafka.streams.processor.internals.ProcessorContextImpl; +import org.apache.kafka.streams.processor.internals.ProcessorRecordContext; +import org.apache.kafka.streams.processor.internals.ProcessorStateManager; +import org.apache.kafka.streams.processor.internals.ProcessorTopology; +import org.apache.kafka.streams.processor.internals.RecordCollector; +import org.apache.kafka.streams.processor.internals.RecordCollectorImpl; +import org.apache.kafka.streams.processor.internals.StateDirectory; +import org.apache.kafka.streams.processor.internals.StreamTask; +import org.apache.kafka.streams.processor.internals.StreamsProducer; +import org.apache.kafka.streams.processor.internals.Task; +import org.apache.kafka.streams.processor.internals.metrics.StreamsMetricsImpl; +import org.apache.kafka.streams.processor.internals.metrics.TaskMetrics; +import org.apache.kafka.streams.state.internals.ThreadCache; + +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashMap; +import java.util.HashSet; +import java.util.LinkedList; +import java.util.List; +import java.util.Map; +import java.util.Optional; +import java.util.Queue; +import java.util.Set; +import java.util.TreeMap; +import java.util.concurrent.atomic.AtomicLong; + +/** + * Owns the multi-partition task graph and record routing for {@link TopologyTestDriver}. It builds + * one {@link StreamTask} per {@code (subtopologyId, partition)} pair from a + * {@link MultiPartitionTopologyPlan} and drives processing, punctuation, state-store access and + * shutdown of those tasks. It collaborates with the driver through the {@link Host} callbacks for + * the work that remains the driver's responsibility (transactional commit, global-state updates, + * global-partition lookups and recording output records). + */ +final class MultiPartitionRuntime { + + private static final Logger log = LoggerFactory.getLogger(MultiPartitionRuntime.class); + + private final MultiPartitionTopologyPlan plan; + private final InternalTopologyBuilder internalTopologyBuilder; + private final MockConsumer<byte[], byte[]> consumer; + private final MockProducer<byte[], byte[]> producer; + private final StreamsProducer testDriverProducer; + private final GlobalStateManager globalStateManager; + private final StreamsConfig streamsConfig; + private final TaskConfig taskConfig; + private final StreamsMetricsImpl streamsMetrics; + private final ThreadCache cache; + private final StateDirectory stateDirectory; + private final LogContext logContext; + private final Time wallClockTime; + private final Host host; + + private final TreeMap<TaskId, StreamTask> tasks = new TreeMap<>(); + private final Map<TopicPartition, TaskId> taskByTopicPartition = new HashMap<>(); + private final Map<String, Map<Integer, Queue<ProducerRecord<byte[], byte[]>>>> outputByTopicPartition = new HashMap<>(); + private final Map<String, Integer> nullKeyRoundRobinByTopic = new HashMap<>(); + private final Map<TopicPartition, AtomicLong> offsets = new HashMap<>(); + + interface Host { + void commit(Map<TopicPartition, OffsetAndMetadata> offsets); + void processGlobalRecord(TopicPartition partition, long timestamp, byte[] key, byte[] value, Headers headers); + TopicPartition globalPartitionOrNull(String topic); + void recordOutput(String topic, ProducerRecord<byte[], byte[]> record); + } + + MultiPartitionRuntime(final MultiPartitionTopologyPlan plan, + final InternalTopologyBuilder internalTopologyBuilder, + final MockConsumer<byte[], byte[]> consumer, + final MockProducer<byte[], byte[]> producer, + final StreamsProducer testDriverProducer, + final GlobalStateManager globalStateManager, + final StreamsConfig streamsConfig, + final TaskConfig taskConfig, + final StreamsMetricsImpl streamsMetrics, + final ThreadCache cache, + final StateDirectory stateDirectory, + final LogContext logContext, + final Time wallClockTime, + final Host host) { + this.plan = plan; + this.internalTopologyBuilder = internalTopologyBuilder; + this.consumer = consumer; + this.producer = producer; + this.testDriverProducer = testDriverProducer; + this.globalStateManager = globalStateManager; + this.streamsConfig = streamsConfig; + this.taskConfig = taskConfig; + this.streamsMetrics = streamsMetrics; + this.cache = cache; + this.stateDirectory = stateDirectory; + this.logContext = logContext; + this.wallClockTime = wallClockTime; + this.host = host; + } + + /** + * Build one {@link StreamTask} per {@code (subtopologyId, partition)} pair using the structures + * computed by the plan. All tasks share the driver's single {@link #consumer} and the + * {@link #testDriverProducer} as their record collector's producer. + */ + void build() { + final List<TopicPartition> allSourcePartitions = new ArrayList<>(); + final String threadId = Thread.currentThread().getName(); + + for (final int sid : plan.subtopologyIds()) { + final ProcessorTopology pt = plan.subtopology(sid); + if (pt.sourceTopics().isEmpty()) { + continue; + } + final int numPartitions = plan.partitionsOfSubtopology(sid); + + // Register an offset counter for every (source-topic, partition) the sub-topology consumes. + for (final String src : pt.sourceTopics()) { + final int n = plan.partitionsOfTopic(src); + for (int p = 0; p < n; p++) { + final TopicPartition tp = new TopicPartition(src, p); + offsets.putIfAbsent(tp, new AtomicLong()); + allSourcePartitions.add(tp); + } + } + + for (int p = 0; p < numPartitions; p++) { + // Build a fresh ProcessorTopology per task: ProcessorNode state (sources, processors, + // store handles) is single-init and would otherwise throw "The processor is not closed" + // when the second task tries to initialize the same instance. + final ProcessorTopology freshPt = internalTopologyBuilder.buildSubtopology(sid); + buildOneTask(sid, p, freshPt, threadId); + } + } + + if (!allSourcePartitions.isEmpty()) { + consumer.assign(allSourcePartitions); + final Map<TopicPartition, Long> startOffsets = new HashMap<>(); + for (final TopicPartition tp : allSourcePartitions) { + startOffsets.put(tp, 0L); + } + consumer.updateBeginningOffsets(startOffsets); + consumer.updateEndOffsets(startOffsets); + } + } + + private void buildOneTask(final int sid, + final int partition, + final ProcessorTopology pt, + final String threadId) { + final TaskId taskId = new TaskId(sid, partition); + TaskMetrics.droppedRecordsSensor(threadId, taskId.toString(), streamsMetrics); + + // This task owns partition {@code p} of each source topic that has at least p+1 partitions. Review Comment: done ########## streams/test-utils/src/main/java/org/apache/kafka/streams/MultiPartitionRuntime.java: ########## @@ -0,0 +1,579 @@ +/* + * 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.clients.consumer.ConsumerRecord; +import org.apache.kafka.clients.consumer.MockConsumer; +import org.apache.kafka.clients.consumer.OffsetAndMetadata; +import org.apache.kafka.clients.producer.MockProducer; +import org.apache.kafka.clients.producer.ProducerRecord; +import org.apache.kafka.common.TopicPartition; +import org.apache.kafka.common.header.Headers; +import org.apache.kafka.common.header.internals.RecordHeaders; +import org.apache.kafka.common.record.TimestampType; +import org.apache.kafka.common.utils.Time; +import org.apache.kafka.common.utils.Utils; +import org.apache.kafka.common.utils.internals.LogContext; +import org.apache.kafka.streams.TopologyConfig.TaskConfig; +import org.apache.kafka.streams.processor.StateStore; +import org.apache.kafka.streams.processor.TaskId; +import org.apache.kafka.streams.processor.internals.GlobalStateManager; +import org.apache.kafka.streams.processor.internals.InternalProcessorContext; +import org.apache.kafka.streams.processor.internals.InternalTopologyBuilder; +import org.apache.kafka.streams.processor.internals.ProcessorContextImpl; +import org.apache.kafka.streams.processor.internals.ProcessorRecordContext; +import org.apache.kafka.streams.processor.internals.ProcessorStateManager; +import org.apache.kafka.streams.processor.internals.ProcessorTopology; +import org.apache.kafka.streams.processor.internals.RecordCollector; +import org.apache.kafka.streams.processor.internals.RecordCollectorImpl; +import org.apache.kafka.streams.processor.internals.StateDirectory; +import org.apache.kafka.streams.processor.internals.StreamTask; +import org.apache.kafka.streams.processor.internals.StreamsProducer; +import org.apache.kafka.streams.processor.internals.Task; +import org.apache.kafka.streams.processor.internals.metrics.StreamsMetricsImpl; +import org.apache.kafka.streams.processor.internals.metrics.TaskMetrics; +import org.apache.kafka.streams.state.internals.ThreadCache; + +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashMap; +import java.util.HashSet; +import java.util.LinkedList; +import java.util.List; +import java.util.Map; +import java.util.Optional; +import java.util.Queue; +import java.util.Set; +import java.util.TreeMap; +import java.util.concurrent.atomic.AtomicLong; + +/** + * Owns the multi-partition task graph and record routing for {@link TopologyTestDriver}. It builds + * one {@link StreamTask} per {@code (subtopologyId, partition)} pair from a + * {@link MultiPartitionTopologyPlan} and drives processing, punctuation, state-store access and + * shutdown of those tasks. It collaborates with the driver through the {@link Host} callbacks for + * the work that remains the driver's responsibility (transactional commit, global-state updates, + * global-partition lookups and recording output records). + */ +final class MultiPartitionRuntime { + + private static final Logger log = LoggerFactory.getLogger(MultiPartitionRuntime.class); + + private final MultiPartitionTopologyPlan plan; + private final InternalTopologyBuilder internalTopologyBuilder; + private final MockConsumer<byte[], byte[]> consumer; + private final MockProducer<byte[], byte[]> producer; + private final StreamsProducer testDriverProducer; + private final GlobalStateManager globalStateManager; + private final StreamsConfig streamsConfig; + private final TaskConfig taskConfig; + private final StreamsMetricsImpl streamsMetrics; + private final ThreadCache cache; + private final StateDirectory stateDirectory; + private final LogContext logContext; + private final Time wallClockTime; + private final Host host; + + private final TreeMap<TaskId, StreamTask> tasks = new TreeMap<>(); + private final Map<TopicPartition, TaskId> taskByTopicPartition = new HashMap<>(); + private final Map<String, Map<Integer, Queue<ProducerRecord<byte[], byte[]>>>> outputByTopicPartition = new HashMap<>(); + private final Map<String, Integer> nullKeyRoundRobinByTopic = new HashMap<>(); + private final Map<TopicPartition, AtomicLong> offsets = new HashMap<>(); + + interface Host { + void commit(Map<TopicPartition, OffsetAndMetadata> offsets); + void processGlobalRecord(TopicPartition partition, long timestamp, byte[] key, byte[] value, Headers headers); + TopicPartition globalPartitionOrNull(String topic); + void recordOutput(String topic, ProducerRecord<byte[], byte[]> record); + } + + MultiPartitionRuntime(final MultiPartitionTopologyPlan plan, + final InternalTopologyBuilder internalTopologyBuilder, + final MockConsumer<byte[], byte[]> consumer, + final MockProducer<byte[], byte[]> producer, + final StreamsProducer testDriverProducer, + final GlobalStateManager globalStateManager, + final StreamsConfig streamsConfig, + final TaskConfig taskConfig, + final StreamsMetricsImpl streamsMetrics, + final ThreadCache cache, + final StateDirectory stateDirectory, + final LogContext logContext, + final Time wallClockTime, + final Host host) { + this.plan = plan; + this.internalTopologyBuilder = internalTopologyBuilder; + this.consumer = consumer; + this.producer = producer; + this.testDriverProducer = testDriverProducer; + this.globalStateManager = globalStateManager; + this.streamsConfig = streamsConfig; + this.taskConfig = taskConfig; + this.streamsMetrics = streamsMetrics; + this.cache = cache; + this.stateDirectory = stateDirectory; + this.logContext = logContext; + this.wallClockTime = wallClockTime; + this.host = host; + } + + /** + * Build one {@link StreamTask} per {@code (subtopologyId, partition)} pair using the structures + * computed by the plan. All tasks share the driver's single {@link #consumer} and the + * {@link #testDriverProducer} as their record collector's producer. + */ + void build() { + final List<TopicPartition> allSourcePartitions = new ArrayList<>(); + final String threadId = Thread.currentThread().getName(); + + for (final int sid : plan.subtopologyIds()) { + final ProcessorTopology pt = plan.subtopology(sid); + if (pt.sourceTopics().isEmpty()) { + continue; + } + final int numPartitions = plan.partitionsOfSubtopology(sid); + + // Register an offset counter for every (source-topic, partition) the sub-topology consumes. + for (final String src : pt.sourceTopics()) { + final int n = plan.partitionsOfTopic(src); + for (int p = 0; p < n; p++) { Review Comment: done -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. 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