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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.kafka.clients.consumer.internals;
import org.apache.kafka.clients.ClientResponse;
import org.apache.kafka.clients.FetchSessionHandler;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.OffsetOutOfRangeException;
import org.apache.kafka.common.Cluster;
import org.apache.kafka.common.KafkaException;
import org.apache.kafka.common.Node;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.Uuid;
import org.apache.kafka.common.errors.RecordTooLargeException;
import org.apache.kafka.common.errors.TopicAuthorizationException;
import org.apache.kafka.common.message.FetchResponseData;
import org.apache.kafka.common.protocol.ApiKeys;
import org.apache.kafka.common.protocol.Errors;
import org.apache.kafka.common.record.RecordBatch;
import org.apache.kafka.common.requests.FetchRequest;
import org.apache.kafka.common.requests.FetchResponse;
import org.apache.kafka.common.utils.BufferSupplier;
import org.apache.kafka.common.utils.LogContext;
import org.apache.kafka.common.utils.Time;
import org.apache.kafka.common.utils.Timer;
import org.apache.kafka.common.utils.Utils;
import org.slf4j.Logger;
import org.slf4j.helpers.MessageFormatter;
import java.io.Closeable;
import java.util.ArrayDeque;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Iterator;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.Queue;
import java.util.Set;
import java.util.concurrent.ConcurrentLinkedQueue;
/**
* {@code AbstractFetch} represents the basic state and logic for record fetching processing.
* @param Type for the message key
* @param Type for the message value
*/
public abstract class AbstractFetch implements Closeable {
private final Logger log;
protected final LogContext logContext;
protected final ConsumerNetworkClient client;
protected final ConsumerMetadata metadata;
protected final SubscriptionState subscriptions;
protected final FetchConfig fetchConfig;
protected final Time time;
protected final FetchMetricsManager metricsManager;
private final BufferSupplier decompressionBufferSupplier;
private final ConcurrentLinkedQueue> completedFetches;
private final Map sessionHandlers;
private final Set nodesWithPendingFetchRequests;
private CompletedFetch nextInLineFetch;
public AbstractFetch(final LogContext logContext,
final ConsumerNetworkClient client,
final ConsumerMetadata metadata,
final SubscriptionState subscriptions,
final FetchConfig fetchConfig,
final FetchMetricsManager metricsManager,
final Time time) {
this.log = logContext.logger(AbstractFetch.class);
this.logContext = logContext;
this.client = client;
this.metadata = metadata;
this.subscriptions = subscriptions;
this.fetchConfig = fetchConfig;
this.decompressionBufferSupplier = BufferSupplier.create();
this.completedFetches = new ConcurrentLinkedQueue<>();
this.sessionHandlers = new HashMap<>();
this.nodesWithPendingFetchRequests = new HashSet<>();
this.metricsManager = metricsManager;
this.time = time;
}
/**
* Return whether we have any completed fetches pending return to the user. This method is thread-safe. Has
* visibility for testing.
*
* @return true if there are completed fetches, false otherwise
*/
boolean hasCompletedFetches() {
return !completedFetches.isEmpty();
}
/**
* Return whether we have any completed fetches that are fetchable. This method is thread-safe.
* @return true if there are completed fetches that can be returned, false otherwise
*/
public boolean hasAvailableFetches() {
return completedFetches.stream().anyMatch(fetch -> subscriptions.isFetchable(fetch.partition));
}
/**
* Implements the core logic for a successful fetch request/response.
*
* @param fetchTarget {@link Node} from which the fetch data was requested
* @param data {@link FetchSessionHandler.FetchRequestData} that represents the session data
* @param resp {@link ClientResponse} from which the {@link FetchResponse} will be retrieved
*/
protected void handleFetchResponse(final Node fetchTarget,
final FetchSessionHandler.FetchRequestData data,
final ClientResponse resp) {
try {
final FetchResponse response = (FetchResponse) resp.responseBody();
final FetchSessionHandler handler = sessionHandler(fetchTarget.id());
if (handler == null) {
log.error("Unable to find FetchSessionHandler for node {}. Ignoring fetch response.",
fetchTarget.id());
return;
}
final short requestVersion = resp.requestHeader().apiVersion();
if (!handler.handleResponse(response, requestVersion)) {
if (response.error() == Errors.FETCH_SESSION_TOPIC_ID_ERROR) {
metadata.requestUpdate();
}
return;
}
final Map responseData = response.responseData(handler.sessionTopicNames(), requestVersion);
final Set partitions = new HashSet<>(responseData.keySet());
final FetchMetricsAggregator metricAggregator = new FetchMetricsAggregator(metricsManager, partitions);
for (Map.Entry entry : responseData.entrySet()) {
TopicPartition partition = entry.getKey();
FetchRequest.PartitionData requestData = data.sessionPartitions().get(partition);
if (requestData == null) {
String message;
if (data.metadata().isFull()) {
message = MessageFormatter.arrayFormat(
"Response for missing full request partition: partition={}; metadata={}",
new Object[]{partition, data.metadata()}).getMessage();
} else {
message = MessageFormatter.arrayFormat(
"Response for missing session request partition: partition={}; metadata={}; toSend={}; toForget={}; toReplace={}",
new Object[]{partition, data.metadata(), data.toSend(), data.toForget(), data.toReplace()}).getMessage();
}
// Received fetch response for missing session partition
throw new IllegalStateException(message);
}
long fetchOffset = requestData.fetchOffset;
FetchResponseData.PartitionData partitionData = entry.getValue();
log.debug("Fetch {} at offset {} for partition {} returned fetch data {}",
fetchConfig.isolationLevel, fetchOffset, partition, partitionData);
CompletedFetch completedFetch = new CompletedFetch<>(
logContext,
subscriptions,
fetchConfig,
decompressionBufferSupplier,
partition,
partitionData,
metricAggregator,
fetchOffset,
requestVersion);
completedFetches.add(completedFetch);
}
metricsManager.recordLatency(resp.requestLatencyMs());
} finally {
log.debug("Removing pending request for node {}", fetchTarget);
nodesWithPendingFetchRequests.remove(fetchTarget.id());
}
}
/**
* Implements the core logic for a failed fetch request/response.
*
* @param fetchTarget {@link Node} from which the fetch data was requested
* @param e {@link RuntimeException} representing the error that resulted in the failure
*/
protected void handleFetchResponse(final Node fetchTarget, final RuntimeException e) {
try {
final FetchSessionHandler handler = sessionHandler(fetchTarget.id());
if (handler != null) {
handler.handleError(e);
handler.sessionTopicPartitions().forEach(subscriptions::clearPreferredReadReplica);
}
} finally {
log.debug("Removing pending request for node {}", fetchTarget);
nodesWithPendingFetchRequests.remove(fetchTarget.id());
}
}
/**
* Creates a new {@link FetchRequest fetch request} in preparation for sending to the Kafka cluster.
*
* @param fetchTarget {@link Node} from which the fetch data will be requested
* @param requestData {@link FetchSessionHandler.FetchRequestData} that represents the session data
* @return {@link FetchRequest.Builder} that can be submitted to the broker
*/
protected FetchRequest.Builder createFetchRequest(final Node fetchTarget,
final FetchSessionHandler.FetchRequestData requestData) {
// Version 12 is the maximum version that could be used without topic IDs. See FetchRequest.json for schema
// changelog.
final short maxVersion = requestData.canUseTopicIds() ? ApiKeys.FETCH.latestVersion() : (short) 12;
final FetchRequest.Builder request = FetchRequest.Builder
.forConsumer(maxVersion, fetchConfig.maxWaitMs, fetchConfig.minBytes, requestData.toSend())
.isolationLevel(fetchConfig.isolationLevel)
.setMaxBytes(fetchConfig.maxBytes)
.metadata(requestData.metadata())
.removed(requestData.toForget())
.replaced(requestData.toReplace())
.rackId(fetchConfig.clientRackId);
log.debug("Sending {} {} to broker {}", fetchConfig.isolationLevel, requestData, fetchTarget);
// We add the node to the set of nodes with pending fetch requests before adding the
// listener because the future may have been fulfilled on another thread (e.g. during a
// disconnection being handled by the heartbeat thread) which will mean the listener
// will be invoked synchronously.
log.debug("Adding pending request for node {}", fetchTarget);
nodesWithPendingFetchRequests.add(fetchTarget.id());
return request;
}
/**
* Return the fetched records, empty the record buffer and update the consumed position.
*
*
*
* NOTE: returning an {@link Fetch#isEmpty empty} fetch guarantees the consumed position is not updated.
*
* @return A {@link Fetch} for the requested partitions
* @throws OffsetOutOfRangeException If there is OffsetOutOfRange error in fetchResponse and
* the defaultResetPolicy is NONE
* @throws TopicAuthorizationException If there is TopicAuthorization error in fetchResponse.
*/
public Fetch collectFetch() {
Fetch fetch = Fetch.empty();
Queue> pausedCompletedFetches = new ArrayDeque<>();
int recordsRemaining = fetchConfig.maxPollRecords;
try {
while (recordsRemaining > 0) {
if (nextInLineFetch == null || nextInLineFetch.isConsumed) {
CompletedFetch records = completedFetches.peek();
if (records == null) break;
if (!records.initialized) {
try {
nextInLineFetch = initializeCompletedFetch(records);
} catch (Exception e) {
// Remove a completedFetch upon a parse with exception if (1) it contains no records, and
// (2) there are no fetched records with actual content preceding this exception.
// The first condition ensures that the completedFetches is not stuck with the same completedFetch
// in cases such as the TopicAuthorizationException, and the second condition ensures that no
// potential data loss due to an exception in a following record.
if (fetch.isEmpty() && FetchResponse.recordsOrFail(records.partitionData).sizeInBytes() == 0) {
completedFetches.poll();
}
throw e;
}
} else {
nextInLineFetch = records;
}
completedFetches.poll();
} else if (subscriptions.isPaused(nextInLineFetch.partition)) {
// when the partition is paused we add the records back to the completedFetches queue instead of draining
// them so that they can be returned on a subsequent poll if the partition is resumed at that time
log.debug("Skipping fetching records for assigned partition {} because it is paused", nextInLineFetch.partition);
pausedCompletedFetches.add(nextInLineFetch);
nextInLineFetch = null;
} else {
Fetch nextFetch = fetchRecords(recordsRemaining);
recordsRemaining -= nextFetch.numRecords();
fetch.add(nextFetch);
}
}
} catch (KafkaException e) {
if (fetch.isEmpty())
throw e;
} finally {
// add any polled completed fetches for paused partitions back to the completed fetches queue to be
// re-evaluated in the next poll
completedFetches.addAll(pausedCompletedFetches);
}
return fetch;
}
private Fetch fetchRecords(final int maxRecords) {
if (!subscriptions.isAssigned(nextInLineFetch.partition)) {
// this can happen when a rebalance happened before fetched records are returned to the consumer's poll call
log.debug("Not returning fetched records for partition {} since it is no longer assigned",
nextInLineFetch.partition);
} else if (!subscriptions.isFetchable(nextInLineFetch.partition)) {
// this can happen when a partition is paused before fetched records are returned to the consumer's
// poll call or if the offset is being reset
log.debug("Not returning fetched records for assigned partition {} since it is no longer fetchable",
nextInLineFetch.partition);
} else {
SubscriptionState.FetchPosition position = subscriptions.position(nextInLineFetch.partition);
if (position == null) {
throw new IllegalStateException("Missing position for fetchable partition " + nextInLineFetch.partition);
}
if (nextInLineFetch.nextFetchOffset == position.offset) {
List> partRecords = nextInLineFetch.fetchRecords(maxRecords);
log.trace("Returning {} fetched records at offset {} for assigned partition {}",
partRecords.size(), position, nextInLineFetch.partition);
boolean positionAdvanced = false;
if (nextInLineFetch.nextFetchOffset > position.offset) {
SubscriptionState.FetchPosition nextPosition = new SubscriptionState.FetchPosition(
nextInLineFetch.nextFetchOffset,
nextInLineFetch.lastEpoch,
position.currentLeader);
log.trace("Updating fetch position from {} to {} for partition {} and returning {} records from `poll()`",
position, nextPosition, nextInLineFetch.partition, partRecords.size());
subscriptions.position(nextInLineFetch.partition, nextPosition);
positionAdvanced = true;
}
Long partitionLag = subscriptions.partitionLag(nextInLineFetch.partition, fetchConfig.isolationLevel);
if (partitionLag != null)
metricsManager.recordPartitionLag(nextInLineFetch.partition, partitionLag);
Long lead = subscriptions.partitionLead(nextInLineFetch.partition);
if (lead != null) {
metricsManager.recordPartitionLead(nextInLineFetch.partition, lead);
}
return Fetch.forPartition(nextInLineFetch.partition, partRecords, positionAdvanced);
} else {
// these records aren't next in line based on the last consumed position, ignore them
// they must be from an obsolete request
log.debug("Ignoring fetched records for {} at offset {} since the current position is {}",
nextInLineFetch.partition, nextInLineFetch.nextFetchOffset, position);
}
}
log.trace("Draining fetched records for partition {}", nextInLineFetch.partition);
nextInLineFetch.drain();
return Fetch.empty();
}
private List fetchablePartitions() {
Set exclude = new HashSet<>();
if (nextInLineFetch != null && !nextInLineFetch.isConsumed) {
exclude.add(nextInLineFetch.partition);
}
for (CompletedFetch completedFetch : completedFetches) {
exclude.add(completedFetch.partition);
}
return subscriptions.fetchablePartitions(tp -> !exclude.contains(tp));
}
/**
* Determine from which replica to read: the preferred or the leader. The preferred replica is used
* iff:
*
*
*
A preferred replica was previously set
*
We're still within the lease time for the preferred replica
*
The replica is still online/available
*
*
* If any of the above are not met, the leader node is returned.
*
* @param partition {@link TopicPartition} for which we want to fetch data
* @param leaderReplica {@link Node} for the leader of the given partition
* @param currentTimeMs Current time in milliseconds; used to determine if we're within the optional lease window
* @return Replic {@link Node node} from which to request the data
* @see SubscriptionState#preferredReadReplica
* @see SubscriptionState#updatePreferredReadReplica
*/
Node selectReadReplica(final TopicPartition partition, final Node leaderReplica, final long currentTimeMs) {
Optional nodeId = subscriptions.preferredReadReplica(partition, currentTimeMs);
if (nodeId.isPresent()) {
Optional node = nodeId.flatMap(id -> metadata.fetch().nodeIfOnline(partition, id));
if (node.isPresent()) {
return node.get();
} else {
log.trace("Not fetching from {} for partition {} since it is marked offline or is missing from our metadata," +
" using the leader instead.", nodeId, partition);
// Note that this condition may happen due to stale metadata, so we clear preferred replica and
// refresh metadata.
requestMetadataUpdate(partition);
return leaderReplica;
}
} else {
return leaderReplica;
}
}
/**
* Create fetch requests for all nodes for which we have assigned partitions
* that have no existing requests in flight.
*/
protected Map prepareFetchRequests() {
// Update metrics in case there was an assignment change
metricsManager.maybeUpdateAssignment(subscriptions);
Map fetchable = new LinkedHashMap<>();
long currentTimeMs = time.milliseconds();
Map topicIds = metadata.topicIds();
for (TopicPartition partition : fetchablePartitions()) {
SubscriptionState.FetchPosition position = subscriptions.position(partition);
if (position == null)
throw new IllegalStateException("Missing position for fetchable partition " + partition);
Optional leaderOpt = position.currentLeader.leader;
if (!leaderOpt.isPresent()) {
log.debug("Requesting metadata update for partition {} since the position {} is missing the current leader node", partition, position);
metadata.requestUpdate();
continue;
}
// Use the preferred read replica if set, otherwise the partition's leader
Node node = selectReadReplica(partition, leaderOpt.get(), currentTimeMs);
if (client.isUnavailable(node)) {
client.maybeThrowAuthFailure(node);
// If we try to send during the reconnect backoff window, then the request is just
// going to be failed anyway before being sent, so skip sending the request for now
log.trace("Skipping fetch for partition {} because node {} is awaiting reconnect backoff", partition, node);
} else if (nodesWithPendingFetchRequests.contains(node.id())) {
log.trace("Skipping fetch for partition {} because previous request to {} has not been processed", partition, node);
} else {
// if there is a leader and no in-flight requests, issue a new fetch
FetchSessionHandler.Builder builder = fetchable.computeIfAbsent(node, k -> {
FetchSessionHandler fetchSessionHandler = sessionHandlers.computeIfAbsent(node.id(), n -> new FetchSessionHandler(logContext, n));
return fetchSessionHandler.newBuilder();
});
Uuid topicId = topicIds.getOrDefault(partition.topic(), Uuid.ZERO_UUID);
FetchRequest.PartitionData partitionData = new FetchRequest.PartitionData(topicId,
position.offset,
FetchRequest.INVALID_LOG_START_OFFSET,
fetchConfig.fetchSize,
position.currentLeader.epoch,
Optional.empty());
builder.add(partition, partitionData);
log.debug("Added {} fetch request for partition {} at position {} to node {}", fetchConfig.isolationLevel,
partition, position, node);
}
}
Map reqs = new LinkedHashMap<>();
for (Map.Entry entry : fetchable.entrySet()) {
reqs.put(entry.getKey(), entry.getValue().build());
}
return reqs;
}
/**
* Initialize a CompletedFetch object.
*/
private CompletedFetch initializeCompletedFetch(final CompletedFetch completedFetch) {
final TopicPartition tp = completedFetch.partition;
final Errors error = Errors.forCode(completedFetch.partitionData.errorCode());
boolean recordMetrics = true;
try {
if (!subscriptions.hasValidPosition(tp)) {
// this can happen when a rebalance happened while fetch is still in-flight
log.debug("Ignoring fetched records for partition {} since it no longer has valid position", tp);
return null;
} else if (error == Errors.NONE) {
final CompletedFetch ret = handleInitializeCompletedFetchSuccess(completedFetch);
recordMetrics = ret == null;
return ret;
} else {
handleInitializeCompletedFetchErrors(completedFetch, error);
return null;
}
} finally {
if (recordMetrics) {
completedFetch.recordAggregatedMetrics(0, 0);
}
if (error != Errors.NONE)
// we move the partition to the end if there was an error. This way, it's more likely that partitions for
// the same topic can remain together (allowing for more efficient serialization).
subscriptions.movePartitionToEnd(tp);
}
}
private CompletedFetch handleInitializeCompletedFetchSuccess(final CompletedFetch completedFetch) {
final TopicPartition tp = completedFetch.partition;
final long fetchOffset = completedFetch.nextFetchOffset;
// we are interested in this fetch only if the beginning offset matches the
// current consumed position
SubscriptionState.FetchPosition position = subscriptions.position(tp);
if (position == null || position.offset != fetchOffset) {
log.debug("Discarding stale fetch response for partition {} since its offset {} does not match " +
"the expected offset {}", tp, fetchOffset, position);
return null;
}
final FetchResponseData.PartitionData partition = completedFetch.partitionData;
log.trace("Preparing to read {} bytes of data for partition {} with offset {}",
FetchResponse.recordsSize(partition), tp, position);
Iterator batches = FetchResponse.recordsOrFail(partition).batches().iterator();
if (!batches.hasNext() && FetchResponse.recordsSize(partition) > 0) {
if (completedFetch.requestVersion < 3) {
// Implement the pre KIP-74 behavior of throwing a RecordTooLargeException.
Map recordTooLargePartitions = Collections.singletonMap(tp, fetchOffset);
throw new RecordTooLargeException("There are some messages at [Partition=Offset]: " +
recordTooLargePartitions + " whose size is larger than the fetch size " + fetchConfig.fetchSize +
" and hence cannot be returned. Please considering upgrading your broker to 0.10.1.0 or " +
"newer to avoid this issue. Alternately, increase the fetch size on the client (using " +
ConsumerConfig.MAX_PARTITION_FETCH_BYTES_CONFIG + ")",
recordTooLargePartitions);
} else {
// This should not happen with brokers that support FetchRequest/Response V3 or higher (i.e. KIP-74)
throw new KafkaException("Failed to make progress reading messages at " + tp + "=" +
fetchOffset + ". Received a non-empty fetch response from the server, but no " +
"complete records were found.");
}
}
if (partition.highWatermark() >= 0) {
log.trace("Updating high watermark for partition {} to {}", tp, partition.highWatermark());
subscriptions.updateHighWatermark(tp, partition.highWatermark());
}
if (partition.logStartOffset() >= 0) {
log.trace("Updating log start offset for partition {} to {}", tp, partition.logStartOffset());
subscriptions.updateLogStartOffset(tp, partition.logStartOffset());
}
if (partition.lastStableOffset() >= 0) {
log.trace("Updating last stable offset for partition {} to {}", tp, partition.lastStableOffset());
subscriptions.updateLastStableOffset(tp, partition.lastStableOffset());
}
if (FetchResponse.isPreferredReplica(partition)) {
subscriptions.updatePreferredReadReplica(completedFetch.partition, partition.preferredReadReplica(), () -> {
long expireTimeMs = time.milliseconds() + metadata.metadataExpireMs();
log.debug("Updating preferred read replica for partition {} to {}, set to expire at {}",
tp, partition.preferredReadReplica(), expireTimeMs);
return expireTimeMs;
});
}
completedFetch.initialized = true;
return completedFetch;
}
private void handleInitializeCompletedFetchErrors(final CompletedFetch completedFetch,
final Errors error) {
final TopicPartition tp = completedFetch.partition;
final long fetchOffset = completedFetch.nextFetchOffset;
if (error == Errors.NOT_LEADER_OR_FOLLOWER ||
error == Errors.REPLICA_NOT_AVAILABLE ||
error == Errors.KAFKA_STORAGE_ERROR ||
error == Errors.FENCED_LEADER_EPOCH ||
error == Errors.OFFSET_NOT_AVAILABLE) {
log.debug("Error in fetch for partition {}: {}", tp, error.exceptionName());
requestMetadataUpdate(tp);
} else if (error == Errors.UNKNOWN_TOPIC_OR_PARTITION) {
log.warn("Received unknown topic or partition error in fetch for partition {}", tp);
requestMetadataUpdate(tp);
} else if (error == Errors.UNKNOWN_TOPIC_ID) {
log.warn("Received unknown topic ID error in fetch for partition {}", tp);
requestMetadataUpdate(tp);
} else if (error == Errors.INCONSISTENT_TOPIC_ID) {
log.warn("Received inconsistent topic ID error in fetch for partition {}", tp);
requestMetadataUpdate(tp);
} else if (error == Errors.OFFSET_OUT_OF_RANGE) {
Optional clearedReplicaId = subscriptions.clearPreferredReadReplica(tp);
if (!clearedReplicaId.isPresent()) {
// If there's no preferred replica to clear, we're fetching from the leader so handle this error normally
SubscriptionState.FetchPosition position = subscriptions.position(tp);
if (position == null || fetchOffset != position.offset) {
log.debug("Discarding stale fetch response for partition {} since the fetched offset {} " +
"does not match the current offset {}", tp, fetchOffset, position);
} else {
handleOffsetOutOfRange(position, tp);
}
} else {
log.debug("Unset the preferred read replica {} for partition {} since we got {} when fetching {}",
clearedReplicaId.get(), tp, error, fetchOffset);
}
} else if (error == Errors.TOPIC_AUTHORIZATION_FAILED) {
//we log the actual partition and not just the topic to help with ACL propagation issues in large clusters
log.warn("Not authorized to read from partition {}.", tp);
throw new TopicAuthorizationException(Collections.singleton(tp.topic()));
} else if (error == Errors.UNKNOWN_LEADER_EPOCH) {
log.debug("Received unknown leader epoch error in fetch for partition {}", tp);
} else if (error == Errors.UNKNOWN_SERVER_ERROR) {
log.warn("Unknown server error while fetching offset {} for topic-partition {}",
fetchOffset, tp);
} else if (error == Errors.CORRUPT_MESSAGE) {
throw new KafkaException("Encountered corrupt message when fetching offset "
+ fetchOffset
+ " for topic-partition "
+ tp);
} else {
throw new IllegalStateException("Unexpected error code "
+ error.code()
+ " while fetching at offset "
+ fetchOffset
+ " from topic-partition " + tp);
}
}
private void handleOffsetOutOfRange(final SubscriptionState.FetchPosition fetchPosition,
final TopicPartition topicPartition) {
String errorMessage = "Fetch position " + fetchPosition + " is out of range for partition " + topicPartition;
if (subscriptions.hasDefaultOffsetResetPolicy()) {
log.info("{}, resetting offset", errorMessage);
subscriptions.requestOffsetReset(topicPartition);
} else {
log.info("{}, raising error to the application since no reset policy is configured", errorMessage);
throw new OffsetOutOfRangeException(errorMessage,
Collections.singletonMap(topicPartition, fetchPosition.offset));
}
}
/**
* Clear the buffered data which are not a part of newly assigned partitions. Any previously
* {@link CompletedFetch fetched data} is dropped if it is for a partition that is no longer in
* {@code assignedPartitions}.
*
* @param assignedPartitions Newly-assigned {@link TopicPartition}
*/
public void clearBufferedDataForUnassignedPartitions(final Collection assignedPartitions) {
final Iterator> completedFetchesItr = completedFetches.iterator();
while (completedFetchesItr.hasNext()) {
final CompletedFetch completedFetch = completedFetchesItr.next();
final TopicPartition tp = completedFetch.partition;
if (!assignedPartitions.contains(tp)) {
log.debug("Removing {} from buffered data as it is no longer an assigned partition", tp);
completedFetch.drain();
completedFetchesItr.remove();
}
}
if (nextInLineFetch != null && !assignedPartitions.contains(nextInLineFetch.partition)) {
nextInLineFetch.drain();
nextInLineFetch = null;
}
}
/**
* Clear the buffered data which are not a part of newly assigned topics
*
* @param assignedTopics newly assigned topics
*/
public void clearBufferedDataForUnassignedTopics(Collection assignedTopics) {
final Set currentTopicPartitions = new HashSet<>();
for (TopicPartition tp : subscriptions.assignedPartitions()) {
if (assignedTopics.contains(tp.topic())) {
currentTopicPartitions.add(tp);
}
}
clearBufferedDataForUnassignedPartitions(currentTopicPartitions);
}
protected FetchSessionHandler sessionHandler(int node) {
return sessionHandlers.get(node);
}
// Visible for testing
void maybeCloseFetchSessions(final Timer timer) {
final Cluster cluster = metadata.fetch();
final List> requestFutures = new ArrayList<>();
sessionHandlers.forEach((fetchTargetNodeId, sessionHandler) -> {
// set the session handler to notify close. This will set the next metadata request to send close message.
sessionHandler.notifyClose();
final int sessionId = sessionHandler.sessionId();
// FetchTargetNode may not be available as it may have disconnected the connection. In such cases, we will
// skip sending the close request.
final Node fetchTarget = cluster.nodeById(fetchTargetNodeId);
if (fetchTarget == null || client.isUnavailable(fetchTarget)) {
log.debug("Skip sending close session request to broker {} since it is not reachable", fetchTarget);
return;
}
final FetchRequest.Builder request = createFetchRequest(fetchTarget, sessionHandler.newBuilder().build());
final RequestFuture responseFuture = client.send(fetchTarget, request);
responseFuture.addListener(new RequestFutureListener() {
@Override
public void onSuccess(ClientResponse value) {
log.debug("Successfully sent a close message for fetch session: {} to node: {}", sessionId, fetchTarget);
}
@Override
public void onFailure(RuntimeException e) {
log.debug("Unable to a close message for fetch session: {} to node: {}. " +
"This may result in unnecessary fetch sessions at the broker.", sessionId, fetchTarget, e);
}
});
requestFutures.add(responseFuture);
});
// Poll to ensure that request has been written to the socket. Wait until either the timer has expired or until
// all requests have received a response.
while (timer.notExpired() && !requestFutures.stream().allMatch(RequestFuture::isDone)) {
client.poll(timer, null, true);
}
if (!requestFutures.stream().allMatch(RequestFuture::isDone)) {
// we ran out of time before completing all futures. It is ok since we don't want to block the shutdown
// here.
log.debug("All requests couldn't be sent in the specific timeout period {}ms. " +
"This may result in unnecessary fetch sessions at the broker. Consider increasing the timeout passed for " +
"KafkaConsumer.close(Duration timeout)", timer.timeoutMs());
}
}
public void close(final Timer timer) {
// we do not need to re-enable wakeups since we are closing already
client.disableWakeups();
if (nextInLineFetch != null) {
nextInLineFetch.drain();
nextInLineFetch = null;
}
maybeCloseFetchSessions(timer);
Utils.closeQuietly(decompressionBufferSupplier, "decompressionBufferSupplier");
sessionHandlers.clear();
}
@Override
public void close() {
close(time.timer(0));
}
private void requestMetadataUpdate(final TopicPartition topicPartition) {
metadata.requestUpdate();
subscriptions.clearPreferredReadReplica(topicPartition);
}
}
