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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.flink.connector.kafka.source.reader;
import org.apache.flink.annotation.VisibleForTesting;
import org.apache.flink.api.connector.source.SourceReaderContext;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.connector.base.source.reader.RecordEmitter;
import org.apache.flink.connector.base.source.reader.RecordsWithSplitIds;
import org.apache.flink.connector.base.source.reader.SingleThreadMultiplexSourceReaderBase;
import org.apache.flink.connector.base.source.reader.synchronization.FutureCompletingBlockingQueue;
import org.apache.flink.connector.kafka.source.KafkaSourceOptions;
import org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics;
import org.apache.flink.connector.kafka.source.reader.fetcher.KafkaSourceFetcherManager;
import org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit;
import org.apache.flink.connector.kafka.source.split.KafkaPartitionSplitState;
import org.apache.kafka.clients.consumer.OffsetAndMetadata;
import org.apache.kafka.common.TopicPartition;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.SortedMap;
import java.util.TreeMap;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
/** The source reader for Kafka partitions. */
public class KafkaSourceReader<T>
extends SingleThreadMultiplexSourceReaderBase<
Tuple3<T, Long, Long>, T, KafkaPartitionSplit, KafkaPartitionSplitState> {
private static final Logger LOG = LoggerFactory.getLogger(KafkaSourceReader.class);
// These maps need to be concurrent because it will be accessed by both the main thread
// and the split fetcher thread in the callback.
private final SortedMap<Long, Map<TopicPartition, OffsetAndMetadata>> offsetsToCommit;
private final ConcurrentMap<TopicPartition, OffsetAndMetadata> offsetsOfFinishedSplits;
private final KafkaSourceReaderMetrics kafkaSourceReaderMetrics;
private final boolean commitOffsetsOnCheckpoint;
public KafkaSourceReader(
FutureCompletingBlockingQueue<RecordsWithSplitIds<Tuple3<T, Long, Long>>> elementsQueue,
KafkaSourceFetcherManager<T> kafkaSourceFetcherManager,
RecordEmitter<Tuple3<T, Long, Long>, T, KafkaPartitionSplitState> recordEmitter,
Configuration config,
SourceReaderContext context,
KafkaSourceReaderMetrics kafkaSourceReaderMetrics) {
super(elementsQueue, kafkaSourceFetcherManager, recordEmitter, config, context);
this.offsetsToCommit = Collections.synchronizedSortedMap(new TreeMap<>());
this.offsetsOfFinishedSplits = new ConcurrentHashMap<>();
this.kafkaSourceReaderMetrics = kafkaSourceReaderMetrics;
this.commitOffsetsOnCheckpoint =
config.get(KafkaSourceOptions.COMMIT_OFFSETS_ON_CHECKPOINT);
if (!commitOffsetsOnCheckpoint) {
LOG.warn(
"Offset commit on checkpoint is disabled. "
+ "Consuming offset will not be reported back to Kafka cluster.");
}
}
@Override
protected void onSplitFinished(Map<String, KafkaPartitionSplitState> finishedSplitIds) {
finishedSplitIds.forEach(
(ignored, splitState) -> {
if (splitState.getCurrentOffset() >= 0) {
offsetsOfFinishedSplits.put(
splitState.getTopicPartition(),
new OffsetAndMetadata(splitState.getCurrentOffset()));
}
});
}
@Override
public List<KafkaPartitionSplit> snapshotState(long checkpointId) {
List<KafkaPartitionSplit> splits = super.snapshotState(checkpointId);
if (!commitOffsetsOnCheckpoint) {
return splits;
}
if (splits.isEmpty() && offsetsOfFinishedSplits.isEmpty()) {
offsetsToCommit.put(checkpointId, Collections.emptyMap());
} else {
Map<TopicPartition, OffsetAndMetadata> offsetsMap =
offsetsToCommit.computeIfAbsent(checkpointId, id -> new HashMap<>());
// Put the offsets of the active splits.
for (KafkaPartitionSplit split : splits) {
// If the checkpoint is triggered before the partition starting offsets
// is retrieved, do not commit the offsets for those partitions.
if (split.getStartingOffset() >= 0) {
offsetsMap.put(
split.getTopicPartition(),
new OffsetAndMetadata(split.getStartingOffset()));
}
}
// Put offsets of all the finished splits.
offsetsMap.putAll(offsetsOfFinishedSplits);
}
return splits;
}
@Override
public void notifyCheckpointComplete(long checkpointId) throws Exception {
LOG.debug("Committing offsets for checkpoint {}", checkpointId);
if (!commitOffsetsOnCheckpoint) {
return;
}
((KafkaSourceFetcherManager<T>) splitFetcherManager)
.commitOffsets(
offsetsToCommit.get(checkpointId),
(ignored, e) -> {
// The offset commit here is needed by the external monitoring. It won't
// break Flink job's correctness if we fail to commit the offset here.
if (e != null) {
kafkaSourceReaderMetrics.recordFailedCommit();
LOG.warn(
"Failed to commit consumer offsets for checkpoint {}",
checkpointId,
e);
} else {
LOG.debug(
"Successfully committed offsets for checkpoint {}",
checkpointId);
kafkaSourceReaderMetrics.recordSucceededCommit();
// If the finished topic partition has been committed, we remove it
// from the offsets of the finished splits map.
Map<TopicPartition, OffsetAndMetadata> committedPartitions =
offsetsToCommit.get(checkpointId);
committedPartitions.forEach(
(tp, offset) ->
kafkaSourceReaderMetrics.recordCommittedOffset(
tp, offset.offset()));
offsetsOfFinishedSplits
.entrySet()
.removeIf(
entry ->
committedPartitions.containsKey(
entry.getKey()));
while (!offsetsToCommit.isEmpty()
&& offsetsToCommit.firstKey() <= checkpointId) {
offsetsToCommit.remove(offsetsToCommit.firstKey());
}
}
});
}
@Override
protected KafkaPartitionSplitState initializedState(KafkaPartitionSplit split) {
return new KafkaPartitionSplitState(split);
}
@Override
protected KafkaPartitionSplit toSplitType(String splitId, KafkaPartitionSplitState splitState) {
return splitState.toKafkaPartitionSplit();
}
// ------------------------
@VisibleForTesting
SortedMap<Long, Map<TopicPartition, OffsetAndMetadata>> getOffsetsToCommit() {
return offsetsToCommit;
}
@VisibleForTesting
int getNumAliveFetchers() {
return splitFetcherManager.getNumAliveFetchers();
}
}