kafka InMemoryTimeOrderedKeyValueBuffer 源码
kafka InMemoryTimeOrderedKeyValueBuffer 代码
文件路径：/streams/src/main/java/org/apache/kafka/streams/state/internals/InMemoryTimeOrderedKeyValueBuffer.java
/*
* 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.state.internals;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.common.header.Header;
import org.apache.kafka.common.header.internals.RecordHeader;
import org.apache.kafka.common.header.internals.RecordHeaders;
import org.apache.kafka.common.metrics.Sensor;
import org.apache.kafka.common.serialization.ByteArraySerializer;
import org.apache.kafka.common.serialization.BytesSerializer;
import org.apache.kafka.common.serialization.Serde;
import org.apache.kafka.common.utils.Bytes;
import org.apache.kafka.streams.kstream.internals.Change;
import org.apache.kafka.streams.kstream.internals.FullChangeSerde;
import org.apache.kafka.streams.processor.ProcessorContext;
import org.apache.kafka.streams.processor.StateStore;
import org.apache.kafka.streams.processor.StateStoreContext;
import org.apache.kafka.streams.processor.api.Record;
import org.apache.kafka.streams.processor.internals.InternalProcessorContext;
import org.apache.kafka.streams.processor.internals.ProcessorContextUtils;
import org.apache.kafka.streams.processor.internals.ProcessorRecordContext;
import org.apache.kafka.streams.processor.internals.RecordBatchingStateRestoreCallback;
import org.apache.kafka.streams.processor.internals.RecordCollector;
import org.apache.kafka.streams.processor.internals.RecordQueue;
import org.apache.kafka.streams.processor.internals.SerdeGetter;
import org.apache.kafka.streams.processor.internals.metrics.StreamsMetricsImpl;
import org.apache.kafka.streams.query.Position;
import org.apache.kafka.streams.state.StoreBuilder;
import org.apache.kafka.streams.state.ValueAndTimestamp;
import org.apache.kafka.streams.state.internals.TimeOrderedKeyValueBufferChangelogDeserializationHelper.DeserializationResult;
import org.apache.kafka.streams.state.internals.metrics.StateStoreMetrics;
import java.nio.ByteBuffer;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Iterator;
import java.util.Map;
import java.util.NoSuchElementException;
import java.util.Set;
import java.util.TreeMap;
import java.util.function.Consumer;
import java.util.function.Supplier;
import static java.util.Objects.requireNonNull;
import static org.apache.kafka.streams.state.internals.TimeOrderedKeyValueBufferChangelogDeserializationHelper.deserializeV0;
import static org.apache.kafka.streams.state.internals.TimeOrderedKeyValueBufferChangelogDeserializationHelper.deserializeV1;
import static org.apache.kafka.streams.state.internals.TimeOrderedKeyValueBufferChangelogDeserializationHelper.deserializeV3;
import static org.apache.kafka.streams.state.internals.TimeOrderedKeyValueBufferChangelogDeserializationHelper.duckTypeV2;
public final class InMemoryTimeOrderedKeyValueBuffer<K, V> implements TimeOrderedKeyValueBuffer<K, V> {
private static final BytesSerializer KEY_SERIALIZER = new BytesSerializer();
private static final ByteArraySerializer VALUE_SERIALIZER = new ByteArraySerializer();
private static final byte[] V_1_CHANGELOG_HEADER_VALUE = {(byte) 1};
private static final byte[] V_2_CHANGELOG_HEADER_VALUE = {(byte) 2};
private static final byte[] V_3_CHANGELOG_HEADER_VALUE = {(byte) 3};
static final RecordHeaders CHANGELOG_HEADERS =
new RecordHeaders(new Header[] {new RecordHeader("v", V_3_CHANGELOG_HEADER_VALUE)});
private static final String METRIC_SCOPE = "in-memory-suppression";
private final Map<Bytes, BufferKey> index = new HashMap<>();
private final TreeMap<BufferKey, BufferValue> sortedMap = new TreeMap<>();
private final Set<Bytes> dirtyKeys = new HashSet<>();
private final String storeName;
private final boolean loggingEnabled;
private Serde<K> keySerde;
private FullChangeSerde<V> valueSerde;
private long memBufferSize = 0L;
private long minTimestamp = Long.MAX_VALUE;
private InternalProcessorContext context;
private String changelogTopic;
private Sensor bufferSizeSensor;
private Sensor bufferCountSensor;
private StreamsMetricsImpl streamsMetrics;
private String taskId;
private volatile boolean open;
private int partition;
public static class Builder<K, V> implements StoreBuilder<InMemoryTimeOrderedKeyValueBuffer<K, V>> {
private final String storeName;
private final Serde<K> keySerde;
private final Serde<V> valueSerde;
private boolean loggingEnabled = true;
private Map<String, String> logConfig = new HashMap<>();
public Builder(final String storeName, final Serde<K> keySerde, final Serde<V> valueSerde) {
this.storeName = storeName;
this.keySerde = keySerde;
this.valueSerde = valueSerde;
}
/**
* As of 2.1, there's no way for users to directly interact with the buffer,
* so this method is implemented solely to be called by Streams (which
* it will do based on the {@code cache.max.bytes.buffering} config.
* <p>
* It's currently a no-op.
*/
@Override
public StoreBuilder<InMemoryTimeOrderedKeyValueBuffer<K, V>> withCachingEnabled() {
return this;
}
/**
* As of 2.1, there's no way for users to directly interact with the buffer,
* so this method is implemented solely to be called by Streams (which
* it will do based on the {@code cache.max.bytes.buffering} config.
* <p>
* It's currently a no-op.
*/
@Override
public StoreBuilder<InMemoryTimeOrderedKeyValueBuffer<K, V>> withCachingDisabled() {
return this;
}
@Override
public StoreBuilder<InMemoryTimeOrderedKeyValueBuffer<K, V>> withLoggingEnabled(final Map<String, String> config) {
logConfig = config;
return this;
}
@Override
public StoreBuilder<InMemoryTimeOrderedKeyValueBuffer<K, V>> withLoggingDisabled() {
loggingEnabled = false;
return this;
}
@Override
public InMemoryTimeOrderedKeyValueBuffer<K, V> build() {
return new InMemoryTimeOrderedKeyValueBuffer<>(storeName, loggingEnabled, keySerde, valueSerde);
}
@Override
public Map<String, String> logConfig() {
return loggingEnabled() ? Collections.unmodifiableMap(logConfig) : Collections.emptyMap();
}
@Override
public boolean loggingEnabled() {
return loggingEnabled;
}
@Override
public String name() {
return storeName;
}
}
private InMemoryTimeOrderedKeyValueBuffer(final String storeName,
final boolean loggingEnabled,
final Serde<K> keySerde,
final Serde<V> valueSerde) {
this.storeName = storeName;
this.loggingEnabled = loggingEnabled;
this.keySerde = keySerde;
this.valueSerde = FullChangeSerde.wrap(valueSerde);
}
@Override
public String name() {
return storeName;
}
@Override
public boolean persistent() {
return false;
}
@SuppressWarnings("unchecked")
@Override
public void setSerdesIfNull(final SerdeGetter getter) {
keySerde = keySerde == null ? (Serde<K>) getter.keySerde() : keySerde;
valueSerde = valueSerde == null ? FullChangeSerde.wrap((Serde<V>) getter.valueSerde()) : valueSerde;
}
@Deprecated
@Override
public void init(final ProcessorContext context, final StateStore root) {
this.context = ProcessorContextUtils.asInternalProcessorContext(context);
changelogTopic = ProcessorContextUtils.changelogFor(context, name(), Boolean.TRUE);
init(root);
}
@Override
public void init(final StateStoreContext context, final StateStore root) {
this.context = ProcessorContextUtils.asInternalProcessorContext(context);
changelogTopic = ProcessorContextUtils.changelogFor(context, name(), Boolean.TRUE);
init(root);
}
private void init(final StateStore root) {
taskId = context.taskId().toString();
streamsMetrics = context.metrics();
bufferSizeSensor = StateStoreMetrics.suppressionBufferSizeSensor(
taskId,
METRIC_SCOPE,
storeName,
streamsMetrics
);
bufferCountSensor = StateStoreMetrics.suppressionBufferCountSensor(
taskId,
METRIC_SCOPE,
storeName,
streamsMetrics
);
this.context.register(root, (RecordBatchingStateRestoreCallback) this::restoreBatch);
updateBufferMetrics();
open = true;
partition = context.taskId().partition();
}
@Override
public boolean isOpen() {
return open;
}
@Override
public Position getPosition() {
throw new UnsupportedOperationException("This store does not keep track of the position.");
}
@Override
public void close() {
open = false;
index.clear();
sortedMap.clear();
dirtyKeys.clear();
memBufferSize = 0;
minTimestamp = Long.MAX_VALUE;
updateBufferMetrics();
streamsMetrics.removeAllStoreLevelSensorsAndMetrics(taskId, storeName);
}
@Override
public void flush() {
if (loggingEnabled) {
// counting on this getting called before the record collector's flush
for (final Bytes key : dirtyKeys) {
final BufferKey bufferKey = index.get(key);
if (bufferKey == null) {
// The record was evicted from the buffer. Send a tombstone.
logTombstone(key);
} else {
final BufferValue value = sortedMap.get(bufferKey);
logValue(key, bufferKey, value);
}
}
dirtyKeys.clear();
}
}
private void logValue(final Bytes key, final BufferKey bufferKey, final BufferValue value) {
final int sizeOfBufferTime = Long.BYTES;
final ByteBuffer buffer = value.serialize(sizeOfBufferTime);
buffer.putLong(bufferKey.time());
final byte[] array = buffer.array();
((RecordCollector.Supplier) context).recordCollector().send(
changelogTopic,
key,
array,
CHANGELOG_HEADERS,
partition,
null,
KEY_SERIALIZER,
VALUE_SERIALIZER,
null,
null);
}
private void logTombstone(final Bytes key) {
((RecordCollector.Supplier) context).recordCollector().send(
changelogTopic,
key,
null,
null,
partition,
null,
KEY_SERIALIZER,
VALUE_SERIALIZER,
null,
null);
}
private void restoreBatch(final Collection<ConsumerRecord<byte[], byte[]>> batch) {
for (final ConsumerRecord<byte[], byte[]> record : batch) {
if (record.partition() != partition) {
throw new IllegalStateException(
String.format(
"record partition [%d] is being restored by the wrong suppress partition [%d]",
record.partition(),
partition
)
);
}
final Bytes key = Bytes.wrap(record.key());
if (record.value() == null) {
// This was a tombstone. Delete the record.
final BufferKey bufferKey = index.remove(key);
if (bufferKey != null) {
final BufferValue removed = sortedMap.remove(bufferKey);
if (removed != null) {
memBufferSize -= computeRecordSize(bufferKey.key(), removed);
}
if (bufferKey.time() == minTimestamp) {
minTimestamp = sortedMap.isEmpty() ? Long.MAX_VALUE : sortedMap.firstKey().time();
}
}
} else {
final Header versionHeader = record.headers().lastHeader("v");
if (versionHeader == null) {
// Version 0:
// value:
// - buffer time
// - old value
// - new value
final byte[] previousBufferedValue = index.containsKey(key)
? internalPriorValueForBuffered(key)
: null;
final DeserializationResult deserializationResult = deserializeV0(record, key, previousBufferedValue);
cleanPut(deserializationResult.time(), deserializationResult.key(), deserializationResult.bufferValue());
} else if (Arrays.equals(versionHeader.value(), V_3_CHANGELOG_HEADER_VALUE)) {
// Version 3:
// value:
// - record context
// - prior value
// - old value
// - new value
// - buffer time
final DeserializationResult deserializationResult = deserializeV3(record, key);
cleanPut(deserializationResult.time(), deserializationResult.key(), deserializationResult.bufferValue());
} else if (Arrays.equals(versionHeader.value(), V_2_CHANGELOG_HEADER_VALUE)) {
// Version 2:
// value:
// - record context
// - old value
// - new value
// - prior value
// - buffer time
// NOTE: 2.4.0, 2.4.1, and 2.5.0 actually encode Version 3 formatted data,
// but still set the Version 2 flag, so to deserialize, we have to duck type.
final DeserializationResult deserializationResult = duckTypeV2(record, key);
cleanPut(deserializationResult.time(), deserializationResult.key(), deserializationResult.bufferValue());
} else if (Arrays.equals(versionHeader.value(), V_1_CHANGELOG_HEADER_VALUE)) {
// Version 1:
// value:
// - buffer time
// - record context
// - old value
// - new value
final byte[] previousBufferedValue = index.containsKey(key)
? internalPriorValueForBuffered(key)
: null;
final DeserializationResult deserializationResult = deserializeV1(record, key, previousBufferedValue);
cleanPut(deserializationResult.time(), deserializationResult.key(), deserializationResult.bufferValue());
} else {
throw new IllegalArgumentException("Restoring apparently invalid changelog record: " + record);
}
}
}
updateBufferMetrics();
}
@Override
public void evictWhile(final Supplier<Boolean> predicate,
final Consumer<Eviction<K, V>> callback) {
final Iterator<Map.Entry<BufferKey, BufferValue>> delegate = sortedMap.entrySet().iterator();
int evictions = 0;
if (predicate.get()) {
Map.Entry<BufferKey, BufferValue> next = null;
if (delegate.hasNext()) {
next = delegate.next();
}
// predicate being true means we read one record, call the callback, and then remove it
while (next != null && predicate.get()) {
if (next.getKey().time() != minTimestamp) {
throw new IllegalStateException(
"minTimestamp [" + minTimestamp + "] did not match the actual min timestamp [" +
next.getKey().time() + "]"
);
}
final K key = keySerde.deserializer().deserialize(changelogTopic, next.getKey().key().get());
final BufferValue bufferValue = next.getValue();
final Change<V> value = valueSerde.deserializeParts(
changelogTopic,
new Change<>(bufferValue.newValue(), bufferValue.oldValue())
);
callback.accept(new Eviction<>(key, value, bufferValue.context()));
delegate.remove();
index.remove(next.getKey().key());
if (loggingEnabled) {
dirtyKeys.add(next.getKey().key());
}
memBufferSize -= computeRecordSize(next.getKey().key(), bufferValue);
// peek at the next record so we can update the minTimestamp
if (delegate.hasNext()) {
next = delegate.next();
minTimestamp = next == null ? Long.MAX_VALUE : next.getKey().time();
} else {
next = null;
minTimestamp = Long.MAX_VALUE;
}
evictions++;
}
}
if (evictions > 0) {
updateBufferMetrics();
}
}
@Override
public Maybe<ValueAndTimestamp<V>> priorValueForBuffered(final K key) {
final Bytes serializedKey = Bytes.wrap(keySerde.serializer().serialize(changelogTopic, key));
if (index.containsKey(serializedKey)) {
final byte[] serializedValue = internalPriorValueForBuffered(serializedKey);
final V deserializedValue = valueSerde.innerSerde().deserializer().deserialize(
changelogTopic,
serializedValue
);
// it's unfortunately not possible to know this, unless we materialize the suppressed result, since our only
// knowledge of the prior value is what the upstream processor sends us as the "old value" when we first
// buffer something.
return Maybe.defined(ValueAndTimestamp.make(deserializedValue, RecordQueue.UNKNOWN));
} else {
return Maybe.undefined();
}
}
private byte[] internalPriorValueForBuffered(final Bytes key) {
final BufferKey bufferKey = index.get(key);
if (bufferKey == null) {
throw new NoSuchElementException("Key [" + key + "] is not in the buffer.");
} else {
final BufferValue bufferValue = sortedMap.get(bufferKey);
return bufferValue.priorValue();
}
}
@Override
public void put(final long time,
final Record<K, Change<V>> record,
final ProcessorRecordContext recordContext) {
requireNonNull(record.value(), "value cannot be null");
requireNonNull(recordContext, "recordContext cannot be null");
final Bytes serializedKey = Bytes.wrap(keySerde.serializer().serialize(changelogTopic, record.key()));
final Change<byte[]> serialChange = valueSerde.serializeParts(changelogTopic, record.value());
final BufferValue buffered = getBuffered(serializedKey);
final byte[] serializedPriorValue;
if (buffered == null) {
serializedPriorValue = serialChange.oldValue;
} else {
serializedPriorValue = buffered.priorValue();
}
cleanPut(
time,
serializedKey,
new BufferValue(serializedPriorValue, serialChange.oldValue, serialChange.newValue, recordContext)
);
if (loggingEnabled) {
dirtyKeys.add(serializedKey);
}
updateBufferMetrics();
}
private BufferValue getBuffered(final Bytes key) {
final BufferKey bufferKey = index.get(key);
return bufferKey == null ? null : sortedMap.get(bufferKey);
}
private void cleanPut(final long time, final Bytes key, final BufferValue value) {
// non-resetting semantics:
// if there was a previous version of the same record,
// then insert the new record in the same place in the priority queue
final BufferKey previousKey = index.get(key);
if (previousKey == null) {
final BufferKey nextKey = new BufferKey(time, key);
index.put(key, nextKey);
sortedMap.put(nextKey, value);
minTimestamp = Math.min(minTimestamp, time);
memBufferSize += computeRecordSize(key, value);
} else {
final BufferValue removedValue = sortedMap.put(previousKey, value);
memBufferSize =
memBufferSize
+ computeRecordSize(key, value)
- (removedValue == null ? 0 : computeRecordSize(key, removedValue));
}
}
@Override
public int numRecords() {
return index.size();
}
@Override
public long bufferSize() {
return memBufferSize;
}
@Override
public long minTimestamp() {
return minTimestamp;
}
private static long computeRecordSize(final Bytes key, final BufferValue value) {
long size = 0L;
size += 8; // buffer time
size += key.get().length;
if (value != null) {
size += value.residentMemorySizeEstimate();
}
return size;
}
private void updateBufferMetrics() {
bufferSizeSensor.record(memBufferSize, context.currentSystemTimeMs());
bufferCountSensor.record(index.size(), context.currentSystemTimeMs());
}
@Override
public String toString() {
return "InMemoryTimeOrderedKeyValueBuffer{" +
"storeName='" + storeName + '\'' +
", changelogTopic='" + changelogTopic + '\'' +
", open=" + open +
", loggingEnabled=" + loggingEnabled +
", minTimestamp=" + minTimestamp +
", memBufferSize=" + memBufferSize +
", \n\tdirtyKeys=" + dirtyKeys +
", \n\tindex=" + index +
", \n\tsortedMap=" + sortedMap +
'}';
}
}
相关信息
相关文章
kafka AbstractDualSchemaRocksDBSegmentedBytesStore 源码
kafka AbstractMergedSortedCacheStoreIterator 源码
kafka AbstractRocksDBSegmentedBytesStore 源码
kafka AbstractRocksDBTimeOrderedSegmentedBytesStore 源码
0
赞
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
7、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦