kafka StoreChangelogReader 源码
kafka StoreChangelogReader 代码
文件路径：/streams/src/main/java/org/apache/kafka/streams/processor/internals/StoreChangelogReader.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.processor.internals;
import org.apache.kafka.clients.admin.Admin;
import org.apache.kafka.clients.admin.ListConsumerGroupOffsetsOptions;
import org.apache.kafka.clients.admin.ListConsumerGroupOffsetsSpec;
import org.apache.kafka.clients.admin.ListOffsetsOptions;
import org.apache.kafka.clients.admin.OffsetSpec;
import org.apache.kafka.clients.consumer.Consumer;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.InvalidOffsetException;
import org.apache.kafka.common.IsolationLevel;
import org.apache.kafka.common.KafkaException;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.errors.InterruptException;
import org.apache.kafka.common.errors.TimeoutException;
import org.apache.kafka.common.utils.LogContext;
import org.apache.kafka.common.utils.Time;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.errors.StreamsException;
import org.apache.kafka.streams.errors.TaskCorruptedException;
import org.apache.kafka.streams.processor.StateRestoreListener;
import org.apache.kafka.streams.processor.TaskId;
import org.apache.kafka.streams.processor.internals.ProcessorStateManager.StateStoreMetadata;
import org.apache.kafka.streams.processor.internals.Task.TaskType;
import org.slf4j.Logger;
import java.time.Duration;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.ExecutionException;
import java.util.function.Function;
import java.util.stream.Collectors;
/**
* ChangelogReader is created and maintained by the stream thread and used for both updating standby tasks and
* restoring active tasks. It manages the restore consumer, including its assigned partitions, when to pause / resume
* these partitions, etc.
* <p>
* The reader also maintains the source of truth for restoration state: only active tasks restoring changelog could
* be completed, while standby tasks updating changelog would always be in restoring state after being initialized.
*/
public class StoreChangelogReader implements ChangelogReader {
private static final long RESTORE_LOG_INTERVAL_MS = 10_000L;
private long lastRestoreLogTime = 0L;
enum ChangelogState {
// registered but need to be initialized (i.e. set its starting, end, limit offsets)
REGISTERED("REGISTERED"),
// initialized and restoring
RESTORING("RESTORING", 0),
// completed restoring (only for active restoring task, standby task should never be completed)
COMPLETED("COMPLETED", 1);
public final String name;
private final List<Integer> prevStates;
ChangelogState(final String name, final Integer... prevStates) {
this.name = name;
this.prevStates = Arrays.asList(prevStates);
}
}
// NOTE we assume that the changelog reader is used only for either
// 1) restoring active task or
// 2) updating standby task at a given time,
// but never doing both
enum ChangelogReaderState {
ACTIVE_RESTORING("ACTIVE_RESTORING"),
STANDBY_UPDATING("STANDBY_UPDATING");
public final String name;
ChangelogReaderState(final String name) {
this.name = name;
}
}
static class ChangelogMetadata {
private final StateStoreMetadata storeMetadata;
private final ProcessorStateManager stateManager;
private ChangelogState changelogState;
private long totalRestored;
// the end offset beyond which records should not be applied (yet) to restore the states
//
// for both active restoring tasks and standby updating tasks, it is defined as:
// * log-end-offset if the changelog is not piggy-backed with source topic
// * min(log-end-offset, committed-offset) if the changelog is piggy-backed with source topic
//
// the log-end-offset only needs to be updated once and only need to be for active tasks since for standby
// tasks it would never "complete" based on the end-offset;
//
// the committed-offset needs to be updated periodically for those standby tasks
//
// NOTE we do not book keep the current offset since we leverage state manager as its source of truth
private Long restoreEndOffset;
// buffer records polled by the restore consumer;
private final List<ConsumerRecord<byte[], byte[]>> bufferedRecords;
// the limit index (exclusive) inside the buffered records beyond which should not be used to restore
// either due to limit offset (standby) or committed end offset (active)
private int bufferedLimitIndex;
private ChangelogMetadata(final StateStoreMetadata storeMetadata, final ProcessorStateManager stateManager) {
this.changelogState = ChangelogState.REGISTERED;
this.storeMetadata = storeMetadata;
this.stateManager = stateManager;
this.restoreEndOffset = null;
this.totalRestored = 0L;
this.bufferedRecords = new ArrayList<>();
this.bufferedLimitIndex = 0;
}
private void clear() {
this.bufferedRecords.clear();
}
private void transitTo(final ChangelogState newState) {
if (newState.prevStates.contains(changelogState.ordinal())) {
changelogState = newState;
} else {
throw new IllegalStateException("Invalid transition from " + changelogState + " to " + newState);
}
}
@Override
public String toString() {
final Long currentOffset = storeMetadata.offset();
return changelogState + " " + stateManager.taskType() +
" (currentOffset " + currentOffset + ", endOffset " + restoreEndOffset + ")";
}
// for testing only below
ChangelogState state() {
return changelogState;
}
long totalRestored() {
return totalRestored;
}
Long endOffset() {
return restoreEndOffset;
}
List<ConsumerRecord<byte[], byte[]>> bufferedRecords() {
return bufferedRecords;
}
int bufferedLimitIndex() {
return bufferedLimitIndex;
}
}
private final static long DEFAULT_OFFSET_UPDATE_MS = Duration.ofMinutes(5L).toMillis();
private ChangelogReaderState state;
private final Time time;
private final Logger log;
private final Duration pollTime;
private final long updateOffsetIntervalMs;
// 1) we keep adding partitions to restore consumer whenever new tasks are registered with the state manager;
// 2) we do not unassign partitions when we switch between standbys and actives, we just pause / resume them;
// 3) we only remove an assigned partition when the corresponding task is being removed from the thread.
private final Consumer<byte[], byte[]> restoreConsumer;
private final StateRestoreListener stateRestoreListener;
// source of the truth of the current registered changelogs;
// NOTE a changelog would only be removed when its corresponding task
// is being removed from the thread; otherwise it would stay in this map even after completed
private final Map<TopicPartition, ChangelogMetadata> changelogs;
// groupId is needed for the admin client to retrieve committed offsets
private final String groupId;
// the changelog reader needs the admin client to list end offsets and committed offsets
private final Admin adminClient;
private long lastUpdateOffsetTime;
public StoreChangelogReader(final Time time,
final StreamsConfig config,
final LogContext logContext,
final Admin adminClient,
final Consumer<byte[], byte[]> restoreConsumer,
final StateRestoreListener stateRestoreListener) {
this.time = time;
this.log = logContext.logger(StoreChangelogReader.class);
this.state = ChangelogReaderState.ACTIVE_RESTORING;
this.adminClient = adminClient;
this.restoreConsumer = restoreConsumer;
this.stateRestoreListener = stateRestoreListener;
this.groupId = config.getString(StreamsConfig.APPLICATION_ID_CONFIG);
this.pollTime = Duration.ofMillis(config.getLong(StreamsConfig.POLL_MS_CONFIG));
this.updateOffsetIntervalMs = config.getLong(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG) == Long.MAX_VALUE ?
DEFAULT_OFFSET_UPDATE_MS : config.getLong(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG);
this.lastUpdateOffsetTime = 0L;
this.changelogs = new HashMap<>();
}
private static String recordEndOffset(final Long endOffset) {
return endOffset == null ? "UNKNOWN (since it is for standby task)" : endOffset.toString();
}
private boolean hasRestoredToEnd(final ChangelogMetadata metadata) {
final Long endOffset = metadata.restoreEndOffset;
if (endOffset == null) {
// end offset is not initialized meaning that it is from a standby task,
// this should never happen since we only call this function for active task in restoring phase
throw new IllegalStateException("End offset for changelog " + metadata + " is unknown when deciding " +
"if it has completed restoration, this should never happen.");
} else if (endOffset == 0) {
// this is a special case, meaning there's nothing to be restored since the changelog has no data
// OR the changelog is a source topic and there's no committed offset
return true;
} else if (metadata.bufferedRecords.isEmpty()) {
// NOTE there are several corner cases that we need to consider:
// 1) the end / committed offset returned from the consumer is the last offset + 1
// 2) there could be txn markers as the last record if EOS is enabled at the producer
//
// It is possible that: the last record's offset == last txn marker offset - 1 == end / committed offset - 2
//
// So we make the following decision:
// 1) if all the buffered records have been applied, then we compare the end offset with the
// current consumer's position, which is the "next" record to fetch, bypassing the txn marker already
// 2) if not all the buffered records have been applied, then it means we are restricted by the end offset,
// and the consumer's position is likely already ahead of that end offset. Then we just need to check
// the first record in the remaining buffer and see if that record is no smaller than the end offset.
final TopicPartition partition = metadata.storeMetadata.changelogPartition();
try {
return restoreConsumer.position(partition) >= endOffset;
} catch (final TimeoutException timeoutException) {
// re-throw to trigger `task.timeout.ms`
throw timeoutException;
} catch (final KafkaException e) {
// this also includes InvalidOffsetException, which should not happen under normal
// execution, hence it is also okay to wrap it as fatal StreamsException
throw new StreamsException("Restore consumer get unexpected error trying to get the position " +
" of " + partition, e);
}
} else {
return metadata.bufferedRecords.get(0).offset() >= endOffset;
}
}
// Once some new tasks are created, we transit to restore them and pause on the existing standby tasks. It is
// possible that when newly created tasks are created the changelog reader are still restoring existing
// active tasks, and hence this function is idempotent and can be called multiple times.
//
// NOTE: even if the newly created tasks do not need any restoring, we still first transit to this state and then
// immediately transit back -- there's no overhead of transiting back and forth but simplifies the logic a lot.
@Override
public void enforceRestoreActive() {
if (state != ChangelogReaderState.ACTIVE_RESTORING) {
log.debug("Transiting to restore active tasks: {}", changelogs);
lastRestoreLogTime = 0L;
// pause all partitions that are for standby tasks from the restore consumer
pauseChangelogsFromRestoreConsumer(standbyRestoringChangelogs());
state = ChangelogReaderState.ACTIVE_RESTORING;
}
}
// Only after we've completed restoring all active tasks we'll then move back to resume updating standby tasks.
// This function is NOT idempotent: if it is already in updating standby tasks mode, we should not call it again.
//
// NOTE: we do not clear completed active restoring changelogs or remove partitions from restore consumer either
// upon completing them but only pause the corresponding partitions; the changelog metadata / partitions would only
// be cleared when the corresponding task is being removed from the thread. In other words, the restore consumer
// should contain all changelogs that are RESTORING or COMPLETED
@Override
public void transitToUpdateStandby() {
if (state != ChangelogReaderState.ACTIVE_RESTORING) {
throw new IllegalStateException(
"The changelog reader is not restoring active tasks (is " + state + ") while trying to " +
"transit to update standby tasks: " + changelogs
);
}
log.debug("Transiting to update standby tasks: {}", changelogs);
// resume all standby restoring changelogs from the restore consumer
resumeChangelogsFromRestoreConsumer(standbyRestoringChangelogs());
state = ChangelogReaderState.STANDBY_UPDATING;
}
/**
* Since it is shared for multiple tasks and hence multiple state managers, the registration would take its
* corresponding state manager as well for restoring.
*/
@Override
public void register(final TopicPartition partition, final ProcessorStateManager stateManager) {
final StateStoreMetadata storeMetadata = stateManager.storeMetadata(partition);
if (storeMetadata == null) {
throw new IllegalStateException("Cannot find the corresponding state store metadata for changelog " +
partition);
}
final ChangelogMetadata changelogMetadata = new ChangelogMetadata(storeMetadata, stateManager);
// initializing limit offset to 0L for standby changelog to effectively disable any restoration until it is updated
if (stateManager.taskType() == Task.TaskType.STANDBY && stateManager.changelogAsSource(partition)) {
changelogMetadata.restoreEndOffset = 0L;
}
if (changelogs.putIfAbsent(partition, changelogMetadata) != null) {
throw new IllegalStateException("There is already a changelog registered for " + partition +
", this should not happen: " + changelogs);
}
}
@Override
public void register(final Set<TopicPartition> changelogPartitions, final ProcessorStateManager stateManager) {
for (final TopicPartition changelogPartition : changelogPartitions) {
register(changelogPartition, stateManager);
}
}
private ChangelogMetadata restoringChangelogByPartition(final TopicPartition partition) {
final ChangelogMetadata changelogMetadata = changelogs.get(partition);
if (changelogMetadata == null) {
throw new IllegalStateException("The corresponding changelog restorer for " + partition +
" does not exist, this should not happen.");
}
if (changelogMetadata.changelogState != ChangelogState.RESTORING) {
throw new IllegalStateException("The corresponding changelog restorer for " + partition +
" has already transited to completed state, this should not happen.");
}
return changelogMetadata;
}
private Set<ChangelogMetadata> registeredChangelogs() {
return changelogs.values().stream()
.filter(metadata -> metadata.changelogState == ChangelogState.REGISTERED)
.collect(Collectors.toSet());
}
private Set<TopicPartition> restoringChangelogs() {
return changelogs.values().stream()
.filter(metadata -> metadata.changelogState == ChangelogState.RESTORING)
.map(metadata -> metadata.storeMetadata.changelogPartition())
.collect(Collectors.toSet());
}
private Set<TopicPartition> activeRestoringChangelogs() {
return changelogs.values().stream()
.filter(metadata -> metadata.changelogState == ChangelogState.RESTORING &&
metadata.stateManager.taskType() == Task.TaskType.ACTIVE)
.map(metadata -> metadata.storeMetadata.changelogPartition())
.collect(Collectors.toSet());
}
private Set<TopicPartition> standbyRestoringChangelogs() {
return changelogs.values().stream()
.filter(metadata -> metadata.changelogState == ChangelogState.RESTORING &&
metadata.stateManager.taskType() == Task.TaskType.STANDBY)
.map(metadata -> metadata.storeMetadata.changelogPartition())
.collect(Collectors.toSet());
}
@Override
public boolean allChangelogsCompleted() {
return changelogs.values().stream()
.allMatch(metadata -> metadata.changelogState == ChangelogState.COMPLETED);
}
@Override
public Set<TopicPartition> completedChangelogs() {
return changelogs.values().stream()
.filter(metadata -> metadata.changelogState == ChangelogState.COMPLETED)
.map(metadata -> metadata.storeMetadata.changelogPartition())
.collect(Collectors.toSet());
}
// 1. if there are any registered changelogs that needs initialization, try to initialize them first;
// 2. if all changelogs have finished, return early;
// 3. if there are any restoring changelogs, try to read from the restore consumer and process them.
@Override
public void restore(final Map<TaskId, Task> tasks) {
initializeChangelogs(tasks, registeredChangelogs());
if (!activeRestoringChangelogs().isEmpty() && state == ChangelogReaderState.STANDBY_UPDATING) {
throw new IllegalStateException("Should not be in standby updating state if there are still un-completed active changelogs");
}
if (allChangelogsCompleted()) {
log.debug("Finished restoring all changelogs {}", changelogs.keySet());
return;
}
final Set<TopicPartition> restoringChangelogs = restoringChangelogs();
if (!restoringChangelogs.isEmpty()) {
final ConsumerRecords<byte[], byte[]> polledRecords;
try {
pauseResumePartitions(tasks, restoringChangelogs);
// for restoring active and updating standby we may prefer different poll time
// in order to make sure we call the main consumer#poll in time.
// TODO: once we move ChangelogReader to a separate thread this may no longer be a concern
polledRecords = restoreConsumer.poll(state == ChangelogReaderState.STANDBY_UPDATING ? Duration.ZERO : pollTime);
// TODO (?) If we cannot fetch records during restore, should we trigger `task.timeout.ms` ?
// TODO (?) If we cannot fetch records for standby task, should we trigger `task.timeout.ms` ?
} catch (final InvalidOffsetException e) {
log.warn("Encountered " + e.getClass().getName() +
" fetching records from restore consumer for partitions " + e.partitions() + ", it is likely that " +
"the consumer's position has fallen out of the topic partition offset range because the topic was " +
"truncated or compacted on the broker, marking the corresponding tasks as corrupted and re-initializing" +
" it later.", e);
final Set<TaskId> corruptedTasks = new HashSet<>();
e.partitions().forEach(partition -> corruptedTasks.add(changelogs.get(partition).stateManager.taskId()));
throw new TaskCorruptedException(corruptedTasks, e);
} catch (final InterruptException interruptException) {
throw interruptException;
} catch (final KafkaException e) {
throw new StreamsException("Restore consumer get unexpected error polling records.", e);
}
for (final TopicPartition partition : polledRecords.partitions()) {
bufferChangelogRecords(restoringChangelogByPartition(partition), polledRecords.records(partition));
}
for (final TopicPartition partition : restoringChangelogs) {
// even if some partition do not have any accumulated data, we still trigger
// restoring since some changelog may not need to restore any at all, and the
// restore to end check needs to be executed still.
// TODO: we always try to restore as a batch when some records are accumulated, which may result in
// small batches; this can be optimized in the future, e.g. wait longer for larger batches.
final TaskId taskId = changelogs.get(partition).stateManager.taskId();
try {
if (restoreChangelog(changelogs.get(partition))) {
final Task task = tasks.get(taskId);
if (task != null) {
task.clearTaskTimeout();
}
}
} catch (final TimeoutException timeoutException) {
tasks.get(taskId).maybeInitTaskTimeoutOrThrow(
time.milliseconds(),
timeoutException
);
}
}
maybeUpdateLimitOffsetsForStandbyChangelogs(tasks);
maybeLogRestorationProgress();
}
}
private void pauseResumePartitions(final Map<TaskId, Task> tasks,
final Set<TopicPartition> restoringChangelogs) {
if (state == ChangelogReaderState.ACTIVE_RESTORING) {
updatePartitionsByType(tasks, restoringChangelogs, TaskType.ACTIVE);
}
if (state == ChangelogReaderState.STANDBY_UPDATING) {
updatePartitionsByType(tasks, restoringChangelogs, TaskType.STANDBY);
}
}
private void updatePartitionsByType(final Map<TaskId, Task> tasks,
final Set<TopicPartition> restoringChangelogs,
final TaskType taskType) {
final Collection<TopicPartition> toResume =
restoringChangelogs.stream().filter(t -> shouldResume(tasks, t, taskType)).collect(Collectors.toList());
final Collection<TopicPartition> toPause =
restoringChangelogs.stream().filter(t -> shouldPause(tasks, t, taskType)).collect(Collectors.toList());
restoreConsumer.resume(toResume);
restoreConsumer.pause(toPause);
}
private boolean shouldResume(final Map<TaskId, Task> tasks, final TopicPartition partition, final TaskType taskType) {
final ProcessorStateManager manager = changelogs.get(partition).stateManager;
final TaskId taskId = manager.taskId();
final Task task = tasks.get(taskId);
if (manager.taskType() == taskType) {
return task != null;
}
return false;
}
private boolean shouldPause(final Map<TaskId, Task> tasks, final TopicPartition partition, final TaskType taskType) {
final ProcessorStateManager manager = changelogs.get(partition).stateManager;
final TaskId taskId = manager.taskId();
final Task task = tasks.get(taskId);
if (manager.taskType() == taskType) {
return task == null;
}
return false;
}
private void maybeLogRestorationProgress() {
if (state == ChangelogReaderState.ACTIVE_RESTORING) {
if (time.milliseconds() - lastRestoreLogTime > RESTORE_LOG_INTERVAL_MS) {
final Set<TopicPartition> topicPartitions = activeRestoringChangelogs();
if (!topicPartitions.isEmpty()) {
final StringBuilder builder = new StringBuilder().append("Restoration in progress for ")
.append(topicPartitions.size())
.append(" partitions.");
for (final TopicPartition partition : topicPartitions) {
final ChangelogMetadata changelogMetadata = restoringChangelogByPartition(partition);
builder.append(" {")
.append(partition)
.append(": ")
.append("position=")
.append(getPositionString(partition, changelogMetadata))
.append(", end=")
.append(changelogMetadata.restoreEndOffset)
.append(", totalRestored=")
.append(changelogMetadata.totalRestored)
.append("}");
}
log.info(builder.toString());
lastRestoreLogTime = time.milliseconds();
}
}
} else {
lastRestoreLogTime = 0L;
}
}
private static String getPositionString(final TopicPartition partition,
final ChangelogMetadata changelogMetadata) {
final ProcessorStateManager stateManager = changelogMetadata.stateManager;
final Long offsets = stateManager.changelogOffsets().get(partition);
return offsets == null ? "unknown" : String.valueOf(offsets);
}
private void maybeUpdateLimitOffsetsForStandbyChangelogs(final Map<TaskId, Task> tasks) {
// we only consider updating the limit offset for standbys if we are not restoring active tasks
if (state == ChangelogReaderState.STANDBY_UPDATING &&
updateOffsetIntervalMs < time.milliseconds() - lastUpdateOffsetTime) {
// when the interval has elapsed we should try to update the limit offset for standbys reading from
// a source changelog with the new committed offset, unless there are no buffered records since
// we only need the limit when processing new records
// for other changelog partitions we do not need to update limit offset at all since we never need to
// check when it completes based on limit offset anyways: the end offset would keep increasing and the
// standby never need to stop
final Set<TopicPartition> changelogsWithLimitOffsets = changelogs.entrySet().stream()
.filter(entry -> entry.getValue().stateManager.taskType() == Task.TaskType.STANDBY &&
entry.getValue().stateManager.changelogAsSource(entry.getKey()))
.map(Map.Entry::getKey).collect(Collectors.toSet());
for (final TopicPartition partition : changelogsWithLimitOffsets) {
if (!changelogs.get(partition).bufferedRecords().isEmpty()) {
updateLimitOffsetsForStandbyChangelogs(committedOffsetForChangelogs(tasks, changelogsWithLimitOffsets));
lastUpdateOffsetTime = time.milliseconds();
break;
}
}
}
}
private void bufferChangelogRecords(final ChangelogMetadata changelogMetadata, final List<ConsumerRecord<byte[], byte[]>> records) {
// update the buffered records and limit index with the fetched records
for (final ConsumerRecord<byte[], byte[]> record : records) {
// filter polled records for null-keys and also possibly update buffer limit index
if (record.key() == null) {
log.warn("Read changelog record with null key from changelog {} at offset {}, " +
"skipping it for restoration", changelogMetadata.storeMetadata.changelogPartition(), record.offset());
} else {
changelogMetadata.bufferedRecords.add(record);
final long offset = record.offset();
if (changelogMetadata.restoreEndOffset == null || offset < changelogMetadata.restoreEndOffset) {
changelogMetadata.bufferedLimitIndex = changelogMetadata.bufferedRecords.size();
}
}
}
}
/**
* restore a changelog with its buffered records if there's any; for active changelogs also check if
* it has completed the restoration and can transit to COMPLETED state and trigger restore callbacks
*/
private boolean restoreChangelog(final ChangelogMetadata changelogMetadata) {
final ProcessorStateManager stateManager = changelogMetadata.stateManager;
final StateStoreMetadata storeMetadata = changelogMetadata.storeMetadata;
final TopicPartition partition = storeMetadata.changelogPartition();
final String storeName = storeMetadata.store().name();
final int numRecords = changelogMetadata.bufferedLimitIndex;
boolean madeProgress = false;
if (numRecords != 0) {
madeProgress = true;
final List<ConsumerRecord<byte[], byte[]>> records = changelogMetadata.bufferedRecords.subList(0, numRecords);
stateManager.restore(storeMetadata, records);
// NOTE here we use removeRange of ArrayList in order to achieve efficiency with range shifting,
// otherwise one-at-a-time removal or addition would be very costly; if all records are restored
// then we can further optimize to save the array-shift but just set array elements to null
if (numRecords < changelogMetadata.bufferedRecords.size()) {
records.clear();
} else {
changelogMetadata.bufferedRecords.clear();
}
final Long currentOffset = storeMetadata.offset();
log.trace("Restored {} records from changelog {} to store {}, end offset is {}, current offset is {}",
partition, storeName, numRecords, recordEndOffset(changelogMetadata.restoreEndOffset), currentOffset);
changelogMetadata.bufferedLimitIndex = 0;
changelogMetadata.totalRestored += numRecords;
// do not trigger restore listener if we are processing standby tasks
if (changelogMetadata.stateManager.taskType() == Task.TaskType.ACTIVE) {
try {
stateRestoreListener.onBatchRestored(partition, storeName, currentOffset, numRecords);
} catch (final Exception e) {
throw new StreamsException("State restore listener failed on batch restored", e);
}
}
}
// we should check even if there's nothing restored, but do not check completed if we are processing standby tasks
if (changelogMetadata.stateManager.taskType() == Task.TaskType.ACTIVE && hasRestoredToEnd(changelogMetadata)) {
madeProgress = true;
log.info("Finished restoring changelog {} to store {} with a total number of {} records",
partition, storeName, changelogMetadata.totalRestored);
changelogMetadata.transitTo(ChangelogState.COMPLETED);
pauseChangelogsFromRestoreConsumer(Collections.singleton(partition));
try {
stateRestoreListener.onRestoreEnd(partition, storeName, changelogMetadata.totalRestored);
} catch (final Exception e) {
throw new StreamsException("State restore listener failed on restore completed", e);
}
}
return madeProgress;
}
private Set<Task> getTasksFromPartitions(final Map<TaskId, Task> tasks,
final Set<TopicPartition> partitions) {
final Set<Task> result = new HashSet<>();
for (final TopicPartition partition : partitions) {
result.add(tasks.get(changelogs.get(partition).stateManager.taskId()));
}
return result;
}
private void clearTaskTimeout(final Set<Task> tasks) {
tasks.forEach(t -> {
if (t != null) {
t.clearTaskTimeout();
}
});
}
private void maybeInitTaskTimeoutOrThrow(final Set<Task> tasks,
final Exception cause) {
final long now = time.milliseconds();
tasks.forEach(t -> t.maybeInitTaskTimeoutOrThrow(now, cause));
}
private Map<TopicPartition, Long> committedOffsetForChangelogs(final Map<TaskId, Task> tasks, final Set<TopicPartition> partitions) {
if (partitions.isEmpty()) {
return Collections.emptyMap();
}
try {
// those which do not have a committed offset would default to 0
final ListConsumerGroupOffsetsOptions options = new ListConsumerGroupOffsetsOptions()
.requireStable(true);
final ListConsumerGroupOffsetsSpec spec = new ListConsumerGroupOffsetsSpec()
.topicPartitions(new ArrayList<>(partitions));
final Map<TopicPartition, Long> committedOffsets = adminClient.listConsumerGroupOffsets(Collections.singletonMap(groupId, spec))
.partitionsToOffsetAndMetadata(groupId).get().entrySet()
.stream()
.collect(Collectors.toMap(Map.Entry::getKey, e -> e.getValue() == null ? 0L : e.getValue().offset()));
clearTaskTimeout(getTasksFromPartitions(tasks, partitions));
return committedOffsets;
} catch (final TimeoutException | InterruptedException | ExecutionException retriableException) {
log.debug("Could not retrieve the committed offsets for partitions {} due to {}, will retry in the next run loop",
partitions, retriableException.toString());
maybeInitTaskTimeoutOrThrow(getTasksFromPartitions(tasks, partitions), retriableException);
return Collections.emptyMap();
} catch (final KafkaException e) {
throw new StreamsException(String.format("Failed to retrieve committed offsets for %s", partitions), e);
}
}
private Map<TopicPartition, Long> endOffsetForChangelogs(final Map<TaskId, Task> tasks, final Set<TopicPartition> partitions) {
if (partitions.isEmpty()) {
return Collections.emptyMap();
}
try {
// we always use read_uncommitted to get log end offset since the last committed txn may have not advanced the LSO for EOS,
// see KAFKA-10167 for more details
final ListOffsetsOptions options = new ListOffsetsOptions(IsolationLevel.READ_UNCOMMITTED);
final Map<TopicPartition, OffsetSpec> offsetSpecs =
partitions.stream().collect(Collectors.toMap(Function.identity(), tp -> OffsetSpec.latest()));
final Map<TopicPartition, Long> logEndOffsets = adminClient.listOffsets(offsetSpecs, options)
.all().get().entrySet()
.stream().collect(Collectors.toMap(Map.Entry::getKey, entry -> entry.getValue().offset()));
clearTaskTimeout(getTasksFromPartitions(tasks, partitions));
return logEndOffsets;
} catch (final TimeoutException | InterruptedException | ExecutionException retriableException) {
log.debug("Could not fetch all end offsets for {} due to {}, will retry in the next run loop",
partitions, retriableException.toString());
maybeInitTaskTimeoutOrThrow(getTasksFromPartitions(tasks, partitions), retriableException);
return Collections.emptyMap();
} catch (final KafkaException e) {
throw new StreamsException(String.format("Failed to retrieve end offsets for %s", partitions), e);
}
}
private void updateLimitOffsetsForStandbyChangelogs(final Map<TopicPartition, Long> committedOffsets) {
for (final ChangelogMetadata metadata : changelogs.values()) {
final TopicPartition partition = metadata.storeMetadata.changelogPartition();
if (metadata.stateManager.taskType() == Task.TaskType.STANDBY &&
metadata.stateManager.changelogAsSource(partition) &&
committedOffsets.containsKey(partition)) {
final Long newLimit = committedOffsets.get(partition);
final Long previousLimit = metadata.restoreEndOffset;
if (previousLimit != null && previousLimit > newLimit) {
throw new IllegalStateException("Offset limit should monotonically increase, but was reduced for partition " +
partition + ". New limit: " + newLimit + ". Previous limit: " + previousLimit);
}
metadata.restoreEndOffset = newLimit;
// update the limit index for buffered records
while (metadata.bufferedLimitIndex < metadata.bufferedRecords.size() &&
metadata.bufferedRecords.get(metadata.bufferedLimitIndex).offset() < metadata.restoreEndOffset)
metadata.bufferedLimitIndex++;
}
}
}
private void initializeChangelogs(final Map<TaskId, Task> tasks,
final Set<ChangelogMetadata> newPartitionsToRestore) {
if (newPartitionsToRestore.isEmpty()) {
return;
}
// for active changelogs, we need to find their end offset before transit to restoring
// if the changelog is on source topic, then its end offset should be the minimum of
// its committed offset and its end offset; for standby tasks that use source topics
// as changelogs, we want to initialize their limit offsets as committed offsets as well
final Set<TopicPartition> newPartitionsToFindEndOffset = new HashSet<>();
final Set<TopicPartition> newPartitionsToFindCommittedOffset = new HashSet<>();
for (final ChangelogMetadata metadata : newPartitionsToRestore) {
final TopicPartition partition = metadata.storeMetadata.changelogPartition();
// TODO K9113: when TaskType.GLOBAL is added we need to modify this
if (metadata.stateManager.taskType() == Task.TaskType.ACTIVE) {
newPartitionsToFindEndOffset.add(partition);
}
if (metadata.stateManager.changelogAsSource(partition)) {
newPartitionsToFindCommittedOffset.add(partition);
}
}
// NOTE we assume that all requested partitions will be included in the returned map for both end/committed
// offsets, i.e., it would not return partial result and would timeout if some of the results cannot be found
final Map<TopicPartition, Long> endOffsets = endOffsetForChangelogs(tasks, newPartitionsToFindEndOffset);
final Map<TopicPartition, Long> committedOffsets = committedOffsetForChangelogs(tasks, newPartitionsToFindCommittedOffset);
for (final TopicPartition partition : newPartitionsToFindEndOffset) {
final ChangelogMetadata changelogMetadata = changelogs.get(partition);
final Long endOffset = endOffsets.get(partition);
final Long committedOffset = newPartitionsToFindCommittedOffset.contains(partition) ?
committedOffsets.get(partition) : Long.valueOf(Long.MAX_VALUE);
if (endOffset != null && committedOffset != null) {
if (changelogMetadata.restoreEndOffset != null) {
throw new IllegalStateException("End offset for " + partition +
" should only be initialized once. Existing value: " + changelogMetadata.restoreEndOffset +
", new value: (" + endOffset + ", " + committedOffset + ")");
}
changelogMetadata.restoreEndOffset = Math.min(endOffset, committedOffset);
log.debug("End offset for changelog {} initialized as {}.", partition, changelogMetadata.restoreEndOffset);
} else {
if (!newPartitionsToRestore.remove(changelogMetadata)) {
throw new IllegalStateException("New changelogs to restore " + newPartitionsToRestore +
" does not contain the one looking for end offset: " + partition + ", this should not happen.");
}
log.info("End offset for changelog {} cannot be found; will retry in the next time.", partition);
}
}
// try initialize limit offsets for standby tasks for the first time
if (!committedOffsets.isEmpty()) {
updateLimitOffsetsForStandbyChangelogs(committedOffsets);
}
// add new partitions to the restore consumer and transit them to restoring state
addChangelogsToRestoreConsumer(newPartitionsToRestore.stream().map(metadata -> metadata.storeMetadata.changelogPartition())
.collect(Collectors.toSet()));
newPartitionsToRestore.forEach(metadata -> metadata.transitTo(ChangelogState.RESTORING));
// if it is in the active restoring mode, we immediately pause those standby changelogs
// here we just blindly pause all (including the existing and newly added)
if (state == ChangelogReaderState.ACTIVE_RESTORING) {
pauseChangelogsFromRestoreConsumer(standbyRestoringChangelogs());
}
// prepare newly added partitions of the restore consumer by setting their starting position
prepareChangelogs(newPartitionsToRestore);
}
private void addChangelogsToRestoreConsumer(final Set<TopicPartition> partitions) {
final Set<TopicPartition> assignment = new HashSet<>(restoreConsumer.assignment());
// the current assignment should not contain any of the new partitions
if (assignment.removeAll(partitions)) {
throw new IllegalStateException("The current assignment " + restoreConsumer.assignment() + " " +
"already contains some of the new partitions " + partitions);
}
assignment.addAll(partitions);
restoreConsumer.assign(assignment);
log.debug("Added partitions {} to the restore consumer, current assignment is {}", partitions, assignment);
}
private void pauseChangelogsFromRestoreConsumer(final Collection<TopicPartition> partitions) {
final Set<TopicPartition> assignment = new HashSet<>(restoreConsumer.assignment());
// the current assignment should contain all the partitions to pause
if (!assignment.containsAll(partitions)) {
throw new IllegalStateException("The current assignment " + assignment + " " +
"does not contain some of the partitions " + partitions + " for pausing.");
}
restoreConsumer.pause(partitions);
log.debug("Paused partitions {} from the restore consumer", partitions);
}
private void removeChangelogsFromRestoreConsumer(final Collection<TopicPartition> partitions) {
final Set<TopicPartition> assignment = new HashSet<>(restoreConsumer.assignment());
// the current assignment should contain all the partitions to remove
if (!assignment.containsAll(partitions)) {
throw new IllegalStateException("The current assignment " + assignment + " " +
"does not contain some of the partitions " + partitions + " for removing.");
}
assignment.removeAll(partitions);
restoreConsumer.assign(assignment);
}
private void resumeChangelogsFromRestoreConsumer(final Collection<TopicPartition> partitions) {
final Set<TopicPartition> assignment = new HashSet<>(restoreConsumer.assignment());
// the current assignment should contain all the partitions to resume
if (!assignment.containsAll(partitions)) {
throw new IllegalStateException("The current assignment " + assignment + " " +
"does not contain some of the partitions " + partitions + " for resuming.");
}
restoreConsumer.resume(partitions);
log.debug("Resumed partitions {} from the restore consumer", partitions);
}
private void prepareChangelogs(final Set<ChangelogMetadata> newPartitionsToRestore) {
// separate those who do not have the current offset loaded from checkpoint
final Set<TopicPartition> newPartitionsWithoutStartOffset = new HashSet<>();
for (final ChangelogMetadata changelogMetadata : newPartitionsToRestore) {
final StateStoreMetadata storeMetadata = changelogMetadata.storeMetadata;
final TopicPartition partition = storeMetadata.changelogPartition();
final Long currentOffset = storeMetadata.offset();
final Long endOffset = changelogs.get(partition).restoreEndOffset;
if (currentOffset != null) {
// the current offset is the offset of the last record, so we should set the position
// as that offset + 1 as the "next" record to fetch; seek is not a blocking call so
// there's nothing to capture
restoreConsumer.seek(partition, currentOffset + 1);
log.debug("Start restoring changelog partition {} from current offset {} to end offset {}.",
partition, currentOffset, recordEndOffset(endOffset));
} else {
log.debug("Start restoring changelog partition {} from the beginning offset to end offset {} " +
"since we cannot find current offset.", partition, recordEndOffset(endOffset));
newPartitionsWithoutStartOffset.add(partition);
}
}
// optimization: batch all seek-to-beginning offsets in a single request
// seek is not a blocking call so there's nothing to capture
if (!newPartitionsWithoutStartOffset.isEmpty()) {
restoreConsumer.seekToBeginning(newPartitionsWithoutStartOffset);
}
// do not trigger restore listener if we are processing standby tasks
for (final ChangelogMetadata changelogMetadata : newPartitionsToRestore) {
if (changelogMetadata.stateManager.taskType() == Task.TaskType.ACTIVE) {
final StateStoreMetadata storeMetadata = changelogMetadata.storeMetadata;
final TopicPartition partition = storeMetadata.changelogPartition();
final String storeName = storeMetadata.store().name();
long startOffset = 0L;
try {
startOffset = restoreConsumer.position(partition);
} catch (final TimeoutException swallow) {
// if we cannot find the starting position at the beginning, just use the default 0L
} catch (final KafkaException e) {
// this also includes InvalidOffsetException, which should not happen under normal
// execution, hence it is also okay to wrap it as fatal StreamsException
throw new StreamsException("Restore consumer get unexpected error trying to get the position " +
" of " + partition, e);
}
try {
stateRestoreListener.onRestoreStart(partition, storeName, startOffset, changelogMetadata.restoreEndOffset);
} catch (final Exception e) {
throw new StreamsException("State restore listener failed on batch restored", e);
}
}
}
}
@Override
public void unregister(final Collection<TopicPartition> revokedChangelogs) {
// Only changelogs that are initialized have been added to the restore consumer's assignment
final List<TopicPartition> revokedInitializedChangelogs = new ArrayList<>();
for (final TopicPartition partition : revokedChangelogs) {
final ChangelogMetadata changelogMetadata = changelogs.remove(partition);
if (changelogMetadata != null) {
if (!changelogMetadata.state().equals(ChangelogState.REGISTERED)) {
revokedInitializedChangelogs.add(partition);
}
changelogMetadata.clear();
} else {
log.debug("Changelog partition {} could not be found," +
" it could be already cleaned up during the handling" +
" of task corruption and never restore again", partition);
}
}
removeChangelogsFromRestoreConsumer(revokedInitializedChangelogs);
}
@Override
public void clear() {
for (final ChangelogMetadata changelogMetadata : changelogs.values()) {
changelogMetadata.clear();
}
changelogs.clear();
try {
restoreConsumer.unsubscribe();
} catch (final KafkaException e) {
throw new StreamsException("Restore consumer get unexpected error unsubscribing", e);
}
}
@Override
public boolean isEmpty() {
return changelogs.isEmpty();
}
@Override
public String toString() {
return "StoreChangelogReader: " + changelogs + "\n";
}
// for testing only
ChangelogMetadata changelogMetadata(final TopicPartition partition) {
return changelogs.get(partition);
}
ChangelogReaderState state() {
return state;
}
}
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