kafka AbstractStickyAssignor 源码
kafka AbstractStickyAssignor 代码
文件路径：/clients/src/main/java/org/apache/kafka/clients/consumer/internals/AbstractStickyAssignor.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.clients.consumer.internals;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Iterator;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Optional;
import java.util.Set;
import java.util.TreeSet;
import java.util.stream.Collectors;
import org.apache.kafka.clients.consumer.internals.Utils.PartitionComparator;
import org.apache.kafka.common.TopicPartition;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public abstract class AbstractStickyAssignor extends AbstractPartitionAssignor {
private static final Logger log = LoggerFactory.getLogger(AbstractStickyAssignor.class);
public static final int DEFAULT_GENERATION = -1;
public int maxGeneration = DEFAULT_GENERATION;
private PartitionMovements partitionMovements;
// Keep track of the partitions being migrated from one consumer to another during assignment
// so the cooperative assignor can adjust the assignment
protected Map<TopicPartition, String> partitionsTransferringOwnership = new HashMap<>();
static final class ConsumerGenerationPair {
final String consumer;
final int generation;
ConsumerGenerationPair(String consumer, int generation) {
this.consumer = consumer;
this.generation = generation;
}
}
public static final class MemberData {
public final List<TopicPartition> partitions;
public final Optional<Integer> generation;
public MemberData(List<TopicPartition> partitions, Optional<Integer> generation) {
this.partitions = partitions;
this.generation = generation;
}
}
abstract protected MemberData memberData(Subscription subscription);
@Override
public Map<String, List<TopicPartition>> assign(Map<String, Integer> partitionsPerTopic,
Map<String, Subscription> subscriptions) {
Map<String, List<TopicPartition>> consumerToOwnedPartitions = new HashMap<>();
Set<TopicPartition> partitionsWithMultiplePreviousOwners = new HashSet<>();
if (allSubscriptionsEqual(partitionsPerTopic.keySet(), subscriptions, consumerToOwnedPartitions, partitionsWithMultiplePreviousOwners)) {
log.debug("Detected that all consumers were subscribed to same set of topics, invoking the "
+ "optimized assignment algorithm");
partitionsTransferringOwnership = new HashMap<>();
return constrainedAssign(partitionsPerTopic, consumerToOwnedPartitions, partitionsWithMultiplePreviousOwners);
} else {
log.debug("Detected that not all consumers were subscribed to same set of topics, falling back to the "
+ "general case assignment algorithm");
// we must set this to null for the general case so the cooperative assignor knows to compute it from scratch
partitionsTransferringOwnership = null;
return generalAssign(partitionsPerTopic, subscriptions, consumerToOwnedPartitions);
}
}
/**
* Returns true iff all consumers have an identical subscription. Also fills out the passed in
* {@code consumerToOwnedPartitions} with each consumer's previously owned and still-subscribed partitions,
* and the {@code partitionsWithMultiplePreviousOwners} with any partitions claimed by multiple previous owners
*/
private boolean allSubscriptionsEqual(Set<String> allTopics,
Map<String, Subscription> subscriptions,
Map<String, List<TopicPartition>> consumerToOwnedPartitions,
Set<TopicPartition> partitionsWithMultiplePreviousOwners) {
Set<String> membersOfCurrentHighestGeneration = new HashSet<>();
boolean isAllSubscriptionsEqual = true;
Set<String> subscribedTopics = new HashSet<>();
// keep track of all previously owned partitions so we can invalidate them if invalid input is
// detected, eg two consumers somehow claiming the same partition in the same/current generation
Map<TopicPartition, String> allPreviousPartitionsToOwner = new HashMap<>();
for (Map.Entry<String, Subscription> subscriptionEntry : subscriptions.entrySet()) {
String consumer = subscriptionEntry.getKey();
Subscription subscription = subscriptionEntry.getValue();
// initialize the subscribed topics set if this is the first subscription
if (subscribedTopics.isEmpty()) {
subscribedTopics.addAll(subscription.topics());
} else if (isAllSubscriptionsEqual && !(subscription.topics().size() == subscribedTopics.size()
&& subscribedTopics.containsAll(subscription.topics()))) {
isAllSubscriptionsEqual = false;
}
MemberData memberData = memberData(subscription);
List<TopicPartition> ownedPartitions = new ArrayList<>();
consumerToOwnedPartitions.put(consumer, ownedPartitions);
// Only consider this consumer's owned partitions as valid if it is a member of the current highest
// generation, or it's generation is not present but we have not seen any known generation so far
if (memberData.generation.isPresent() && memberData.generation.get() >= maxGeneration
|| !memberData.generation.isPresent() && maxGeneration == DEFAULT_GENERATION) {
// If the current member's generation is higher, all the previously owned partitions are invalid
if (memberData.generation.isPresent() && memberData.generation.get() > maxGeneration) {
allPreviousPartitionsToOwner.clear();
partitionsWithMultiplePreviousOwners.clear();
for (String droppedOutConsumer : membersOfCurrentHighestGeneration) {
consumerToOwnedPartitions.get(droppedOutConsumer).clear();
}
membersOfCurrentHighestGeneration.clear();
maxGeneration = memberData.generation.get();
}
membersOfCurrentHighestGeneration.add(consumer);
for (final TopicPartition tp : memberData.partitions) {
// filter out any topics that no longer exist or aren't part of the current subscription
if (allTopics.contains(tp.topic())) {
String otherConsumer = allPreviousPartitionsToOwner.put(tp, consumer);
if (otherConsumer == null) {
// this partition is not owned by other consumer in the same generation
ownedPartitions.add(tp);
} else {
log.error("Found multiple consumers {} and {} claiming the same TopicPartition {} in the "
+ "same generation {}, this will be invalidated and removed from their previous assignment.",
consumer, otherConsumer, tp, maxGeneration);
consumerToOwnedPartitions.get(otherConsumer).remove(tp);
partitionsWithMultiplePreviousOwners.add(tp);
}
}
}
}
}
return isAllSubscriptionsEqual;
}
/**
* This constrainedAssign optimizes the assignment algorithm when all consumers were subscribed to same set of topics.
* The method includes the following steps:
*
* 1. Reassign previously owned partitions:
* a. if owned less than minQuota partitions, just assign all owned partitions, and put the member into unfilled member list
* b. if owned maxQuota or more, and we're still under the number of expected max capacity members, assign maxQuota partitions
* c. if owned at least "minQuota" of partitions, assign minQuota partitions, and put the member into unfilled member list if
* we're still under the number of expected max capacity members
* 2. Fill remaining members up to the expected numbers of maxQuota partitions, otherwise, to minQuota partitions
*
* @param partitionsPerTopic The number of partitions for each subscribed topic
* @param consumerToOwnedPartitions Each consumer's previously owned and still-subscribed partitions
* @param partitionsWithMultiplePreviousOwners The partitions being claimed in the previous assignment of multiple consumers
*
* @return Map from each member to the list of partitions assigned to them.
*/
private Map<String, List<TopicPartition>> constrainedAssign(Map<String, Integer> partitionsPerTopic,
Map<String, List<TopicPartition>> consumerToOwnedPartitions,
Set<TopicPartition> partitionsWithMultiplePreviousOwners) {
if (log.isDebugEnabled()) {
log.debug("Performing constrained assign with partitionsPerTopic: {}, consumerToOwnedPartitions: {}.",
partitionsPerTopic, consumerToOwnedPartitions);
}
Set<TopicPartition> allRevokedPartitions = new HashSet<>();
// the consumers which may still be assigned one or more partitions to reach expected capacity
List<String> unfilledMembersWithUnderMinQuotaPartitions = new LinkedList<>();
LinkedList<String> unfilledMembersWithExactlyMinQuotaPartitions = new LinkedList<>();
int numberOfConsumers = consumerToOwnedPartitions.size();
int totalPartitionsCount = partitionsPerTopic.values().stream().reduce(0, Integer::sum);
int minQuota = (int) Math.floor(((double) totalPartitionsCount) / numberOfConsumers);
int maxQuota = (int) Math.ceil(((double) totalPartitionsCount) / numberOfConsumers);
// the expected number of members receiving more than minQuota partitions (zero when minQuota == maxQuota)
int expectedNumMembersWithOverMinQuotaPartitions = totalPartitionsCount % numberOfConsumers;
// the current number of members receiving more than minQuota partitions (zero when minQuota == maxQuota)
int currentNumMembersWithOverMinQuotaPartitions = 0;
// initialize the assignment map with an empty array of size maxQuota for all members
Map<String, List<TopicPartition>> assignment = new HashMap<>(
consumerToOwnedPartitions.keySet().stream().collect(Collectors.toMap(c -> c, c -> new ArrayList<>(maxQuota))));
List<TopicPartition> assignedPartitions = new ArrayList<>();
// Reassign previously owned partitions, up to the expected number of partitions per consumer
for (Map.Entry<String, List<TopicPartition>> consumerEntry : consumerToOwnedPartitions.entrySet()) {
String consumer = consumerEntry.getKey();
List<TopicPartition> ownedPartitions = consumerEntry.getValue();
List<TopicPartition> consumerAssignment = assignment.get(consumer);
for (TopicPartition doublyClaimedPartition : partitionsWithMultiplePreviousOwners) {
if (ownedPartitions.contains(doublyClaimedPartition)) {
log.error("Found partition {} still claimed as owned by consumer {}, despite being claimed by multiple "
+ "consumers already in the same generation. Removing it from the ownedPartitions",
doublyClaimedPartition, consumer);
ownedPartitions.remove(doublyClaimedPartition);
}
}
if (ownedPartitions.size() < minQuota) {
// the expected assignment size is more than this consumer has now, so keep all the owned partitions
// and put this member into the unfilled member list
if (ownedPartitions.size() > 0) {
consumerAssignment.addAll(ownedPartitions);
assignedPartitions.addAll(ownedPartitions);
}
unfilledMembersWithUnderMinQuotaPartitions.add(consumer);
} else if (ownedPartitions.size() >= maxQuota && currentNumMembersWithOverMinQuotaPartitions < expectedNumMembersWithOverMinQuotaPartitions) {
// consumer owned the "maxQuota" of partitions or more, and we're still under the number of expected members
// with more than the minQuota partitions, so keep "maxQuota" of the owned partitions, and revoke the rest of the partitions
currentNumMembersWithOverMinQuotaPartitions++;
if (currentNumMembersWithOverMinQuotaPartitions == expectedNumMembersWithOverMinQuotaPartitions) {
unfilledMembersWithExactlyMinQuotaPartitions.clear();
}
List<TopicPartition> maxQuotaPartitions = ownedPartitions.subList(0, maxQuota);
consumerAssignment.addAll(maxQuotaPartitions);
assignedPartitions.addAll(maxQuotaPartitions);
allRevokedPartitions.addAll(ownedPartitions.subList(maxQuota, ownedPartitions.size()));
} else {
// consumer owned at least "minQuota" of partitions
// so keep "minQuota" of the owned partitions, and revoke the rest of the partitions
List<TopicPartition> minQuotaPartitions = ownedPartitions.subList(0, minQuota);
consumerAssignment.addAll(minQuotaPartitions);
assignedPartitions.addAll(minQuotaPartitions);
allRevokedPartitions.addAll(ownedPartitions.subList(minQuota, ownedPartitions.size()));
// this consumer is potential maxQuota candidate since we're still under the number of expected members
// with more than the minQuota partitions. Note, if the number of expected members with more than
// the minQuota partitions is 0, it means minQuota == maxQuota, and there are no potentially unfilled
if (currentNumMembersWithOverMinQuotaPartitions < expectedNumMembersWithOverMinQuotaPartitions) {
unfilledMembersWithExactlyMinQuotaPartitions.add(consumer);
}
}
}
List<TopicPartition> unassignedPartitions = getUnassignedPartitions(totalPartitionsCount, partitionsPerTopic, assignedPartitions);
if (log.isDebugEnabled()) {
log.debug("After reassigning previously owned partitions, unfilled members: {}, unassigned partitions: {}, " +
"current assignment: {}", unfilledMembersWithUnderMinQuotaPartitions, unassignedPartitions, assignment);
}
Collections.sort(unfilledMembersWithUnderMinQuotaPartitions);
Collections.sort(unfilledMembersWithExactlyMinQuotaPartitions);
Iterator<String> unfilledConsumerIter = unfilledMembersWithUnderMinQuotaPartitions.iterator();
// Round-Robin filling remaining members up to the expected numbers of maxQuota, otherwise, to minQuota
for (TopicPartition unassignedPartition : unassignedPartitions) {
String consumer;
if (unfilledConsumerIter.hasNext()) {
consumer = unfilledConsumerIter.next();
} else {
if (unfilledMembersWithUnderMinQuotaPartitions.isEmpty() && unfilledMembersWithExactlyMinQuotaPartitions.isEmpty()) {
// Should not enter here since we have calculated the exact number to assign to each consumer.
// This indicates issues in the assignment algorithm
int currentPartitionIndex = unassignedPartitions.indexOf(unassignedPartition);
log.error("No more unfilled consumers to be assigned. The remaining unassigned partitions are: {}",
unassignedPartitions.subList(currentPartitionIndex, unassignedPartitions.size()));
throw new IllegalStateException("No more unfilled consumers to be assigned.");
} else if (unfilledMembersWithUnderMinQuotaPartitions.isEmpty()) {
consumer = unfilledMembersWithExactlyMinQuotaPartitions.poll();
} else {
unfilledConsumerIter = unfilledMembersWithUnderMinQuotaPartitions.iterator();
consumer = unfilledConsumerIter.next();
}
}
List<TopicPartition> consumerAssignment = assignment.get(consumer);
consumerAssignment.add(unassignedPartition);
// We already assigned all possible ownedPartitions, so we know this must be newly assigned to this consumer
// or else the partition was actually claimed by multiple previous owners and had to be invalidated from all
// members claimed ownedPartitions
if (allRevokedPartitions.contains(unassignedPartition) || partitionsWithMultiplePreviousOwners.contains(unassignedPartition))
partitionsTransferringOwnership.put(unassignedPartition, consumer);
int currentAssignedCount = consumerAssignment.size();
if (currentAssignedCount == minQuota) {
unfilledConsumerIter.remove();
unfilledMembersWithExactlyMinQuotaPartitions.add(consumer);
} else if (currentAssignedCount == maxQuota) {
currentNumMembersWithOverMinQuotaPartitions++;
if (currentNumMembersWithOverMinQuotaPartitions == expectedNumMembersWithOverMinQuotaPartitions) {
// We only start to iterate over the "potentially unfilled" members at minQuota after we've filled
// all members up to at least minQuota, so once the last minQuota member reaches maxQuota, we
// should be done. But in case of some algorithmic error, just log a warning and continue to
// assign any remaining partitions within the assignment constraints
if (unassignedPartitions.indexOf(unassignedPartition) != unassignedPartitions.size() - 1) {
log.error("Filled the last member up to maxQuota but still had partitions remaining to assign, "
+ "will continue but this indicates a bug in the assignment.");
}
}
}
}
if (!unfilledMembersWithUnderMinQuotaPartitions.isEmpty()) {
// we expected all the remaining unfilled members have minQuota partitions and we're already at the expected number
// of members with more than the minQuota partitions. Otherwise, there must be error here.
if (currentNumMembersWithOverMinQuotaPartitions != expectedNumMembersWithOverMinQuotaPartitions) {
log.error("Current number of members with more than the minQuota partitions: {}, is less than the expected number " +
"of members with more than the minQuota partitions: {}, and no more partitions to be assigned to the remaining unfilled consumers: {}",
currentNumMembersWithOverMinQuotaPartitions, expectedNumMembersWithOverMinQuotaPartitions, unfilledMembersWithUnderMinQuotaPartitions);
throw new IllegalStateException("We haven't reached the expected number of members with " +
"more than the minQuota partitions, but no more partitions to be assigned");
} else {
for (String unfilledMember : unfilledMembersWithUnderMinQuotaPartitions) {
int assignedPartitionsCount = assignment.get(unfilledMember).size();
if (assignedPartitionsCount != minQuota) {
log.error("Consumer: [{}] should have {} partitions, but got {} partitions, and no more partitions " +
"to be assigned. The remaining unfilled consumers are: {}", unfilledMember, minQuota, assignedPartitionsCount, unfilledMembersWithUnderMinQuotaPartitions);
throw new IllegalStateException(String.format("Consumer: [%s] doesn't reach minQuota partitions, " +
"and no more partitions to be assigned", unfilledMember));
} else {
log.trace("skip over this unfilled member: [{}] because we've reached the expected number of " +
"members with more than the minQuota partitions, and this member already have minQuota partitions", unfilledMember);
}
}
}
}
log.info("Final assignment of partitions to consumers: \n{}", assignment);
return assignment;
}
private List<TopicPartition> getAllTopicPartitions(Map<String, Integer> partitionsPerTopic,
List<String> sortedAllTopics,
int totalPartitionsCount) {
List<TopicPartition> allPartitions = new ArrayList<>(totalPartitionsCount);
for (String topic : sortedAllTopics) {
int partitionCount = partitionsPerTopic.get(topic);
for (int i = 0; i < partitionCount; ++i) {
allPartitions.add(new TopicPartition(topic, i));
}
}
return allPartitions;
}
/**
* This generalAssign algorithm guarantees the assignment that is as balanced as possible.
* This method includes the following steps:
*
* 1. Preserving all the existing partition assignments
* 2. Removing all the partition assignments that have become invalid due to the change that triggers the reassignment
* 3. Assigning the unassigned partitions in a way that balances out the overall assignments of partitions to consumers
* 4. Further balancing out the resulting assignment by finding the partitions that can be reassigned
* to another consumer towards an overall more balanced assignment.
*
* @param partitionsPerTopic The number of partitions for each subscribed topic.
* @param subscriptions Map from the member id to their respective topic subscription
* @param currentAssignment Each consumer's previously owned and still-subscribed partitions
*
* @return Map from each member to the list of partitions assigned to them.
*/
private Map<String, List<TopicPartition>> generalAssign(Map<String, Integer> partitionsPerTopic,
Map<String, Subscription> subscriptions,
Map<String, List<TopicPartition>> currentAssignment) {
if (log.isDebugEnabled()) {
log.debug("performing general assign. partitionsPerTopic: {}, subscriptions: {}, currentAssignment: {}",
partitionsPerTopic, subscriptions, currentAssignment);
}
Map<TopicPartition, ConsumerGenerationPair> prevAssignment = new HashMap<>();
partitionMovements = new PartitionMovements();
prepopulateCurrentAssignments(subscriptions, prevAssignment);
// a mapping of all topics to all consumers that can be assigned to them
final Map<String, List<String>> topic2AllPotentialConsumers = new HashMap<>(partitionsPerTopic.keySet().size());
// a mapping of all consumers to all potential topics that can be assigned to them
final Map<String, List<String>> consumer2AllPotentialTopics = new HashMap<>(subscriptions.keySet().size());
// initialize topic2AllPotentialConsumers and consumer2AllPotentialTopics
partitionsPerTopic.keySet().stream().forEach(
topicName -> topic2AllPotentialConsumers.put(topicName, new ArrayList<>()));
for (Entry<String, Subscription> entry: subscriptions.entrySet()) {
String consumerId = entry.getKey();
List<String> subscribedTopics = new ArrayList<>(entry.getValue().topics().size());
consumer2AllPotentialTopics.put(consumerId, subscribedTopics);
entry.getValue().topics().stream().filter(topic -> partitionsPerTopic.get(topic) != null).forEach(topic -> {
subscribedTopics.add(topic);
topic2AllPotentialConsumers.get(topic).add(consumerId);
});
// add this consumer to currentAssignment (with an empty topic partition assignment) if it does not already exist
if (!currentAssignment.containsKey(consumerId))
currentAssignment.put(consumerId, new ArrayList<>());
}
// a mapping of partition to current consumer
Map<TopicPartition, String> currentPartitionConsumer = new HashMap<>();
for (Map.Entry<String, List<TopicPartition>> entry: currentAssignment.entrySet())
for (TopicPartition topicPartition: entry.getValue())
currentPartitionConsumer.put(topicPartition, entry.getKey());
int totalPartitionsCount = partitionsPerTopic.values().stream().reduce(0, Integer::sum);
List<String> sortedAllTopics = new ArrayList<>(topic2AllPotentialConsumers.keySet());
Collections.sort(sortedAllTopics, new TopicComparator(topic2AllPotentialConsumers));
List<TopicPartition> sortedAllPartitions = getAllTopicPartitions(partitionsPerTopic, sortedAllTopics, totalPartitionsCount);
// the partitions already assigned in current assignment
List<TopicPartition> assignedPartitions = new ArrayList<>();
boolean revocationRequired = false;
for (Iterator<Entry<String, List<TopicPartition>>> it = currentAssignment.entrySet().iterator(); it.hasNext();) {
Map.Entry<String, List<TopicPartition>> entry = it.next();
Subscription consumerSubscription = subscriptions.get(entry.getKey());
if (consumerSubscription == null) {
// if a consumer that existed before (and had some partition assignments) is now removed, remove it from currentAssignment
for (TopicPartition topicPartition: entry.getValue())
currentPartitionConsumer.remove(topicPartition);
it.remove();
} else {
// otherwise (the consumer still exists)
for (Iterator<TopicPartition> partitionIter = entry.getValue().iterator(); partitionIter.hasNext();) {
TopicPartition partition = partitionIter.next();
if (!topic2AllPotentialConsumers.containsKey(partition.topic())) {
// if this topic partition of this consumer no longer exists, remove it from currentAssignment of the consumer
partitionIter.remove();
currentPartitionConsumer.remove(partition);
} else if (!consumerSubscription.topics().contains(partition.topic())) {
// because the consumer is no longer subscribed to its topic, remove it from currentAssignment of the consumer
partitionIter.remove();
revocationRequired = true;
} else {
// otherwise, remove the topic partition from those that need to be assigned only if
// its current consumer is still subscribed to its topic (because it is already assigned
// and we would want to preserve that assignment as much as possible)
assignedPartitions.add(partition);
}
}
}
}
// all partitions that needed to be assigned
List<TopicPartition> unassignedPartitions = getUnassignedPartitions(sortedAllPartitions, assignedPartitions, topic2AllPotentialConsumers);
if (log.isDebugEnabled()) {
log.debug("unassigned Partitions: {}", unassignedPartitions);
}
// at this point we have preserved all valid topic partition to consumer assignments and removed
// all invalid topic partitions and invalid consumers. Now we need to assign unassignedPartitions
// to consumers so that the topic partition assignments are as balanced as possible.
// an ascending sorted set of consumers based on how many topic partitions are already assigned to them
TreeSet<String> sortedCurrentSubscriptions = new TreeSet<>(new SubscriptionComparator(currentAssignment));
sortedCurrentSubscriptions.addAll(currentAssignment.keySet());
balance(currentAssignment, prevAssignment, sortedAllPartitions, unassignedPartitions, sortedCurrentSubscriptions,
consumer2AllPotentialTopics, topic2AllPotentialConsumers, currentPartitionConsumer, revocationRequired,
partitionsPerTopic, totalPartitionsCount);
log.info("Final assignment of partitions to consumers: \n{}", currentAssignment);
return currentAssignment;
}
/**
* get the unassigned partition list by computing the difference set of the sortedPartitions(all partitions)
* and sortedAssignedPartitions. If no assigned partitions, we'll just return all sorted topic partitions.
* This is used in generalAssign method
*
* We loop the sortedPartition, and compare the ith element in sortedAssignedPartitions(i start from 0):
* - if not equal to the ith element, add to unassignedPartitions
* - if equal to the ith element, get next element from sortedAssignedPartitions
*
* @param sortedAllPartitions: sorted all partitions
* @param sortedAssignedPartitions: sorted partitions, all are included in the sortedPartitions
* @param topic2AllPotentialConsumers: topics mapped to all consumers that subscribed to it
* @return partitions that aren't assigned to any current consumer
*/
private List<TopicPartition> getUnassignedPartitions(List<TopicPartition> sortedAllPartitions,
List<TopicPartition> sortedAssignedPartitions,
Map<String, List<String>> topic2AllPotentialConsumers) {
if (sortedAssignedPartitions.isEmpty()) {
return sortedAllPartitions;
}
List<TopicPartition> unassignedPartitions = new ArrayList<>();
Collections.sort(sortedAssignedPartitions, new PartitionComparator(topic2AllPotentialConsumers));
boolean shouldAddDirectly = false;
Iterator<TopicPartition> sortedAssignedPartitionsIter = sortedAssignedPartitions.iterator();
TopicPartition nextAssignedPartition = sortedAssignedPartitionsIter.next();
for (TopicPartition topicPartition : sortedAllPartitions) {
if (shouldAddDirectly || !nextAssignedPartition.equals(topicPartition)) {
unassignedPartitions.add(topicPartition);
} else {
// this partition is in assignedPartitions, don't add to unassignedPartitions, just get next assigned partition
if (sortedAssignedPartitionsIter.hasNext()) {
nextAssignedPartition = sortedAssignedPartitionsIter.next();
} else {
// add the remaining directly since there is no more sortedAssignedPartitions
shouldAddDirectly = true;
}
}
}
return unassignedPartitions;
}
/**
* get the unassigned partition list by computing the difference set of all sorted partitions
* and sortedAssignedPartitions. If no assigned partitions, we'll just return all sorted topic partitions.
* This is used in constrainedAssign method
*
* To compute the difference set, we use two pointers technique here:
*
* We loop through the all sorted topics, and then iterate all partitions the topic has,
* compared with the ith element in sortedAssignedPartitions(i starts from 0):
* - if not equal to the ith element, add to unassignedPartitions
* - if equal to the ith element, get next element from sortedAssignedPartitions
*
* @param totalPartitionsCount all partitions counts in this assignment
* @param partitionsPerTopic the number of partitions for each subscribed topic.
* @param sortedAssignedPartitions sorted partitions, all are included in the sortedPartitions
* @return the partitions not yet assigned to any consumers
*/
private List<TopicPartition> getUnassignedPartitions(int totalPartitionsCount,
Map<String, Integer> partitionsPerTopic,
List<TopicPartition> sortedAssignedPartitions) {
List<String> sortedAllTopics = new ArrayList<>(partitionsPerTopic.keySet());
// sort all topics first, then we can have sorted all topic partitions by adding partitions starting from 0
Collections.sort(sortedAllTopics);
if (sortedAssignedPartitions.isEmpty()) {
// no assigned partitions means all partitions are unassigned partitions
return getAllTopicPartitions(partitionsPerTopic, sortedAllTopics, totalPartitionsCount);
}
List<TopicPartition> unassignedPartitions = new ArrayList<>(totalPartitionsCount - sortedAssignedPartitions.size());
Collections.sort(sortedAssignedPartitions, Comparator.comparing(TopicPartition::topic).thenComparing(TopicPartition::partition));
boolean shouldAddDirectly = false;
Iterator<TopicPartition> sortedAssignedPartitionsIter = sortedAssignedPartitions.iterator();
TopicPartition nextAssignedPartition = sortedAssignedPartitionsIter.next();
for (String topic : sortedAllTopics) {
int partitionCount = partitionsPerTopic.get(topic);
for (int i = 0; i < partitionCount; i++) {
if (shouldAddDirectly || !(nextAssignedPartition.topic().equals(topic) && nextAssignedPartition.partition() == i)) {
unassignedPartitions.add(new TopicPartition(topic, i));
} else {
// this partition is in assignedPartitions, don't add to unassignedPartitions, just get next assigned partition
if (sortedAssignedPartitionsIter.hasNext()) {
nextAssignedPartition = sortedAssignedPartitionsIter.next();
} else {
// add the remaining directly since there is no more sortedAssignedPartitions
shouldAddDirectly = true;
}
}
}
}
return unassignedPartitions;
}
/**
* update the prevAssignment with the partitions, consumer and generation in parameters
*
* @param partitions: The partitions to be updated the prevAssignment
* @param consumer: The consumer Id
* @param prevAssignment: The assignment contains the assignment with the 2nd largest generation
* @param generation: The generation of this assignment (partitions)
*/
private void updatePrevAssignment(Map<TopicPartition, ConsumerGenerationPair> prevAssignment,
List<TopicPartition> partitions,
String consumer,
int generation) {
for (TopicPartition partition: partitions) {
if (prevAssignment.containsKey(partition)) {
// only keep the latest previous assignment
if (generation > prevAssignment.get(partition).generation) {
prevAssignment.put(partition, new ConsumerGenerationPair(consumer, generation));
}
} else {
prevAssignment.put(partition, new ConsumerGenerationPair(consumer, generation));
}
}
}
/**
* filling in the prevAssignment from the subscriptions.
*
* @param subscriptions: Map from the member id to their respective topic subscription
* @param prevAssignment: The assignment contains the assignment with the 2nd largest generation
*/
private void prepopulateCurrentAssignments(Map<String, Subscription> subscriptions,
Map<TopicPartition, ConsumerGenerationPair> prevAssignment) {
// we need to process subscriptions' user data with each consumer's reported generation in mind
// higher generations overwrite lower generations in case of a conflict
// note that a conflict could exists only if user data is for different generations
for (Map.Entry<String, Subscription> subscriptionEntry: subscriptions.entrySet()) {
String consumer = subscriptionEntry.getKey();
Subscription subscription = subscriptionEntry.getValue();
if (subscription.userData() != null) {
// since this is our 2nd time to deserialize memberData, rewind userData is necessary
subscription.userData().rewind();
}
MemberData memberData = memberData(subscriptionEntry.getValue());
// we already have the maxGeneration info, so just compare the current generation of memberData, and put into prevAssignment
if (memberData.generation.isPresent() && memberData.generation.get() < maxGeneration) {
// if the current member's generation is lower than maxGeneration, put into prevAssignment if needed
updatePrevAssignment(prevAssignment, memberData.partitions, consumer, memberData.generation.get());
} else if (!memberData.generation.isPresent() && maxGeneration > DEFAULT_GENERATION) {
// if maxGeneration is larger then DEFAULT_GENERATION
// put all (no generation) partitions as DEFAULT_GENERATION into prevAssignment if needed
updatePrevAssignment(prevAssignment, memberData.partitions, consumer, DEFAULT_GENERATION);
}
}
}
/**
* determine if the current assignment is a balanced one
*
* @param currentAssignment: the assignment whose balance needs to be checked
* @param sortedCurrentSubscriptions: an ascending sorted set of consumers based on how many topic partitions are already assigned to them
* @param allSubscriptions: a mapping of all consumers to all potential topics that can be assigned to them
* @param partitionsPerTopic: The number of partitions for each subscribed topic
* @param totalPartitionCount total partition count to be assigned
* @return true if the given assignment is balanced; false otherwise
*/
private boolean isBalanced(Map<String, List<TopicPartition>> currentAssignment,
TreeSet<String> sortedCurrentSubscriptions,
Map<String, List<String>> allSubscriptions,
Map<String, Integer> partitionsPerTopic,
int totalPartitionCount) {
int min = currentAssignment.get(sortedCurrentSubscriptions.first()).size();
int max = currentAssignment.get(sortedCurrentSubscriptions.last()).size();
if (min >= max - 1)
// if minimum and maximum numbers of partitions assigned to consumers differ by at most one return true
return true;
// create a mapping from partitions to the consumer assigned to them
final Map<TopicPartition, String> allPartitions = new HashMap<>();
Set<Entry<String, List<TopicPartition>>> assignments = currentAssignment.entrySet();
for (Map.Entry<String, List<TopicPartition>> entry: assignments) {
List<TopicPartition> topicPartitions = entry.getValue();
for (TopicPartition topicPartition: topicPartitions) {
if (allPartitions.containsKey(topicPartition))
log.error("{} is assigned to more than one consumer.", topicPartition);
allPartitions.put(topicPartition, entry.getKey());
}
}
// for each consumer that does not have all the topic partitions it can get make sure none of the topic partitions it
// could but did not get cannot be moved to it (because that would break the balance)
for (String consumer: sortedCurrentSubscriptions) {
List<TopicPartition> consumerPartitions = currentAssignment.get(consumer);
int consumerPartitionCount = consumerPartitions.size();
// skip if this consumer already has all the topic partitions it can get
List<String> allSubscribedTopics = allSubscriptions.get(consumer);
int maxAssignmentSize = getMaxAssignmentSize(totalPartitionCount, allSubscribedTopics, partitionsPerTopic);
if (consumerPartitionCount == maxAssignmentSize)
continue;
// otherwise make sure it cannot get any more
for (String topic: allSubscribedTopics) {
int partitionCount = partitionsPerTopic.get(topic);
for (int i = 0; i < partitionCount; i++) {
TopicPartition topicPartition = new TopicPartition(topic, i);
if (!currentAssignment.get(consumer).contains(topicPartition)) {
String otherConsumer = allPartitions.get(topicPartition);
int otherConsumerPartitionCount = currentAssignment.get(otherConsumer).size();
if (consumerPartitionCount < otherConsumerPartitionCount) {
log.debug("{} can be moved from consumer {} to consumer {} for a more balanced assignment.",
topicPartition, otherConsumer, consumer);
return false;
}
}
}
}
}
return true;
}
/**
* get the maximum assigned partition size of the {@code allSubscribedTopics}
*
* @param totalPartitionCount total partition count to be assigned
* @param allSubscribedTopics the subscribed topics of a consumer
* @param partitionsPerTopic The number of partitions for each subscribed topic
* @return maximum assigned partition size
*/
private int getMaxAssignmentSize(int totalPartitionCount,
List<String> allSubscribedTopics,
Map<String, Integer> partitionsPerTopic) {
int maxAssignmentSize;
if (allSubscribedTopics.size() == partitionsPerTopic.size()) {
maxAssignmentSize = totalPartitionCount;
} else {
maxAssignmentSize = allSubscribedTopics.stream().map(topic -> partitionsPerTopic.get(topic)).reduce(0, Integer::sum);
}
return maxAssignmentSize;
}
/**
* @return the balance score of the given assignment, as the sum of assigned partitions size difference of all consumer pairs.
* A perfectly balanced assignment (with all consumers getting the same number of partitions) has a balance score of 0.
* Lower balance score indicates a more balanced assignment.
*/
private int getBalanceScore(Map<String, List<TopicPartition>> assignment) {
int score = 0;
Map<String, Integer> consumer2AssignmentSize = new HashMap<>();
for (Entry<String, List<TopicPartition>> entry: assignment.entrySet())
consumer2AssignmentSize.put(entry.getKey(), entry.getValue().size());
Iterator<Entry<String, Integer>> it = consumer2AssignmentSize.entrySet().iterator();
while (it.hasNext()) {
Entry<String, Integer> entry = it.next();
int consumerAssignmentSize = entry.getValue();
it.remove();
for (Entry<String, Integer> otherEntry: consumer2AssignmentSize.entrySet())
score += Math.abs(consumerAssignmentSize - otherEntry.getValue());
}
return score;
}
/**
* The assignment should improve the overall balance of the partition assignments to consumers.
*/
private void assignPartition(TopicPartition partition,
TreeSet<String> sortedCurrentSubscriptions,
Map<String, List<TopicPartition>> currentAssignment,
Map<String, List<String>> consumer2AllPotentialTopics,
Map<TopicPartition, String> currentPartitionConsumer) {
for (String consumer: sortedCurrentSubscriptions) {
if (consumer2AllPotentialTopics.get(consumer).contains(partition.topic())) {
sortedCurrentSubscriptions.remove(consumer);
currentAssignment.get(consumer).add(partition);
currentPartitionConsumer.put(partition, consumer);
sortedCurrentSubscriptions.add(consumer);
break;
}
}
}
private boolean canParticipateInReassignment(String topic,
Map<String, List<String>> topic2AllPotentialConsumers) {
// if a topic has two or more potential consumers it is subject to reassignment.
return topic2AllPotentialConsumers.get(topic).size() >= 2;
}
private boolean canParticipateInReassignment(String consumer,
Map<String, List<TopicPartition>> currentAssignment,
Map<String, List<String>> consumer2AllPotentialTopics,
Map<String, List<String>> topic2AllPotentialConsumers,
Map<String, Integer> partitionsPerTopic,
int totalPartitionCount) {
List<TopicPartition> currentPartitions = currentAssignment.get(consumer);
int currentAssignmentSize = currentPartitions.size();
List<String> allSubscribedTopics = consumer2AllPotentialTopics.get(consumer);
int maxAssignmentSize = getMaxAssignmentSize(totalPartitionCount, allSubscribedTopics, partitionsPerTopic);
if (currentAssignmentSize > maxAssignmentSize)
log.error("The consumer {} is assigned more partitions than the maximum possible.", consumer);
if (currentAssignmentSize < maxAssignmentSize)
// if a consumer is not assigned all its potential partitions it is subject to reassignment
return true;
for (TopicPartition partition: currentPartitions)
// if any of the partitions assigned to a consumer is subject to reassignment the consumer itself
// is subject to reassignment
if (canParticipateInReassignment(partition.topic(), topic2AllPotentialConsumers))
return true;
return false;
}
/**
* Balance the current assignment using the data structures created in the assign(...) method above.
*/
private void balance(Map<String, List<TopicPartition>> currentAssignment,
Map<TopicPartition, ConsumerGenerationPair> prevAssignment,
List<TopicPartition> sortedPartitions,
List<TopicPartition> unassignedPartitions,
TreeSet<String> sortedCurrentSubscriptions,
Map<String, List<String>> consumer2AllPotentialTopics,
Map<String, List<String>> topic2AllPotentialConsumers,
Map<TopicPartition, String> currentPartitionConsumer,
boolean revocationRequired,
Map<String, Integer> partitionsPerTopic,
int totalPartitionCount) {
boolean initializing = currentAssignment.get(sortedCurrentSubscriptions.last()).isEmpty();
// assign all unassigned partitions
for (TopicPartition partition: unassignedPartitions) {
// skip if there is no potential consumer for the topic
if (topic2AllPotentialConsumers.get(partition.topic()).isEmpty())
continue;
assignPartition(partition, sortedCurrentSubscriptions, currentAssignment,
consumer2AllPotentialTopics, currentPartitionConsumer);
}
// narrow down the reassignment scope to only those partitions that can actually be reassigned
Set<TopicPartition> fixedPartitions = new HashSet<>();
for (String topic: topic2AllPotentialConsumers.keySet())
if (!canParticipateInReassignment(topic, topic2AllPotentialConsumers)) {
for (int i = 0; i < partitionsPerTopic.get(topic); i++) {
fixedPartitions.add(new TopicPartition(topic, i));
}
}
sortedPartitions.removeAll(fixedPartitions);
unassignedPartitions.removeAll(fixedPartitions);
// narrow down the reassignment scope to only those consumers that are subject to reassignment
Map<String, List<TopicPartition>> fixedAssignments = new HashMap<>();
for (String consumer: consumer2AllPotentialTopics.keySet())
if (!canParticipateInReassignment(consumer, currentAssignment,
consumer2AllPotentialTopics, topic2AllPotentialConsumers, partitionsPerTopic, totalPartitionCount)) {
sortedCurrentSubscriptions.remove(consumer);
fixedAssignments.put(consumer, currentAssignment.remove(consumer));
}
// create a deep copy of the current assignment so we can revert to it if we do not get a more balanced assignment later
Map<String, List<TopicPartition>> preBalanceAssignment = deepCopy(currentAssignment);
Map<TopicPartition, String> preBalancePartitionConsumers = new HashMap<>(currentPartitionConsumer);
// if we don't already need to revoke something due to subscription changes, first try to balance by only moving newly added partitions
if (!revocationRequired) {
performReassignments(unassignedPartitions, currentAssignment, prevAssignment, sortedCurrentSubscriptions,
consumer2AllPotentialTopics, topic2AllPotentialConsumers, currentPartitionConsumer, partitionsPerTopic, totalPartitionCount);
}
boolean reassignmentPerformed = performReassignments(sortedPartitions, currentAssignment, prevAssignment, sortedCurrentSubscriptions,
consumer2AllPotentialTopics, topic2AllPotentialConsumers, currentPartitionConsumer, partitionsPerTopic, totalPartitionCount);
// if we are not preserving existing assignments and we have made changes to the current assignment
// make sure we are getting a more balanced assignment; otherwise, revert to previous assignment
if (!initializing && reassignmentPerformed && getBalanceScore(currentAssignment) >= getBalanceScore(preBalanceAssignment)) {
deepCopy(preBalanceAssignment, currentAssignment);
currentPartitionConsumer.clear();
currentPartitionConsumer.putAll(preBalancePartitionConsumers);
}
// add the fixed assignments (those that could not change) back
for (Entry<String, List<TopicPartition>> entry: fixedAssignments.entrySet()) {
String consumer = entry.getKey();
currentAssignment.put(consumer, entry.getValue());
sortedCurrentSubscriptions.add(consumer);
}
fixedAssignments.clear();
}
private boolean performReassignments(List<TopicPartition> reassignablePartitions,
Map<String, List<TopicPartition>> currentAssignment,
Map<TopicPartition, ConsumerGenerationPair> prevAssignment,
TreeSet<String> sortedCurrentSubscriptions,
Map<String, List<String>> consumer2AllPotentialTopics,
Map<String, List<String>> topic2AllPotentialConsumers,
Map<TopicPartition, String> currentPartitionConsumer,
Map<String, Integer> partitionsPerTopic,
int totalPartitionCount) {
boolean reassignmentPerformed = false;
boolean modified;
// repeat reassignment until no partition can be moved to improve the balance
do {
modified = false;
// reassign all reassignable partitions (starting from the partition with least potential consumers and if needed)
// until the full list is processed or a balance is achieved
Iterator<TopicPartition> partitionIterator = reassignablePartitions.iterator();
while (partitionIterator.hasNext() && !isBalanced(currentAssignment, sortedCurrentSubscriptions,
consumer2AllPotentialTopics, partitionsPerTopic, totalPartitionCount)) {
TopicPartition partition = partitionIterator.next();
// the partition must have at least two consumers
if (topic2AllPotentialConsumers.get(partition.topic()).size() <= 1)
log.error("Expected more than one potential consumer for partition '{}'", partition);
// the partition must have a current consumer
String consumer = currentPartitionConsumer.get(partition);
if (consumer == null)
log.error("Expected partition '{}' to be assigned to a consumer", partition);
if (prevAssignment.containsKey(partition) &&
currentAssignment.get(consumer).size() > currentAssignment.get(prevAssignment.get(partition).consumer).size() + 1) {
reassignPartition(partition, currentAssignment, sortedCurrentSubscriptions, currentPartitionConsumer, prevAssignment.get(partition).consumer);
reassignmentPerformed = true;
modified = true;
continue;
}
// check if a better-suited consumer exist for the partition; if so, reassign it
for (String otherConsumer: topic2AllPotentialConsumers.get(partition.topic())) {
if (currentAssignment.get(consumer).size() > currentAssignment.get(otherConsumer).size() + 1) {
reassignPartition(partition, currentAssignment, sortedCurrentSubscriptions, currentPartitionConsumer, consumer2AllPotentialTopics);
reassignmentPerformed = true;
modified = true;
break;
}
}
}
} while (modified);
return reassignmentPerformed;
}
private void reassignPartition(TopicPartition partition,
Map<String, List<TopicPartition>> currentAssignment,
TreeSet<String> sortedCurrentSubscriptions,
Map<TopicPartition, String> currentPartitionConsumer,
Map<String, List<String>> consumer2AllPotentialTopics) {
// find the new consumer
String newConsumer = null;
for (String anotherConsumer: sortedCurrentSubscriptions) {
if (consumer2AllPotentialTopics.get(anotherConsumer).contains(partition.topic())) {
newConsumer = anotherConsumer;
break;
}
}
assert newConsumer != null;
reassignPartition(partition, currentAssignment, sortedCurrentSubscriptions, currentPartitionConsumer, newConsumer);
}
private void reassignPartition(TopicPartition partition,
Map<String, List<TopicPartition>> currentAssignment,
TreeSet<String> sortedCurrentSubscriptions,
Map<TopicPartition, String> currentPartitionConsumer,
String newConsumer) {
String consumer = currentPartitionConsumer.get(partition);
// find the correct partition movement considering the stickiness requirement
TopicPartition partitionToBeMoved = partitionMovements.getTheActualPartitionToBeMoved(partition, consumer, newConsumer);
processPartitionMovement(partitionToBeMoved, newConsumer, currentAssignment, sortedCurrentSubscriptions, currentPartitionConsumer);
}
private void processPartitionMovement(TopicPartition partition,
String newConsumer,
Map<String, List<TopicPartition>> currentAssignment,
TreeSet<String> sortedCurrentSubscriptions,
Map<TopicPartition, String> currentPartitionConsumer) {
String oldConsumer = currentPartitionConsumer.get(partition);
sortedCurrentSubscriptions.remove(oldConsumer);
sortedCurrentSubscriptions.remove(newConsumer);
partitionMovements.movePartition(partition, oldConsumer, newConsumer);
currentAssignment.get(oldConsumer).remove(partition);
currentAssignment.get(newConsumer).add(partition);
currentPartitionConsumer.put(partition, newConsumer);
sortedCurrentSubscriptions.add(newConsumer);
sortedCurrentSubscriptions.add(oldConsumer);
}
public boolean isSticky() {
return partitionMovements.isSticky();
}
private void deepCopy(Map<String, List<TopicPartition>> source, Map<String, List<TopicPartition>> dest) {
dest.clear();
for (Entry<String, List<TopicPartition>> entry: source.entrySet())
dest.put(entry.getKey(), new ArrayList<>(entry.getValue()));
}
private Map<String, List<TopicPartition>> deepCopy(Map<String, List<TopicPartition>> assignment) {
Map<String, List<TopicPartition>> copy = new HashMap<>();
deepCopy(assignment, copy);
return copy;
}
private static class TopicComparator implements Comparator<String>, Serializable {
private static final long serialVersionUID = 1L;
private Map<String, List<String>> map;
TopicComparator(Map<String, List<String>> map) {
this.map = map;
}
@Override
public int compare(String o1, String o2) {
int ret = map.get(o1).size() - map.get(o2).size();
if (ret == 0) {
ret = o1.compareTo(o2);
}
return ret;
}
}
private static class SubscriptionComparator implements Comparator<String>, Serializable {
private static final long serialVersionUID = 1L;
private Map<String, List<TopicPartition>> map;
SubscriptionComparator(Map<String, List<TopicPartition>> map) {
this.map = map;
}
@Override
public int compare(String o1, String o2) {
int ret = map.get(o1).size() - map.get(o2).size();
if (ret == 0)
ret = o1.compareTo(o2);
return ret;
}
}
/**
* This class maintains some data structures to simplify lookup of partition movements among consumers. At each point of
* time during a partition rebalance it keeps track of partition movements corresponding to each topic, and also possible
* movement (in form a <code>ConsumerPair</code> object) for each partition.
*/
private static class PartitionMovements {
private Map<String, Map<ConsumerPair, Set<TopicPartition>>> partitionMovementsByTopic = new HashMap<>();
private Map<TopicPartition, ConsumerPair> partitionMovements = new HashMap<>();
private ConsumerPair removeMovementRecordOfPartition(TopicPartition partition) {
ConsumerPair pair = partitionMovements.remove(partition);
String topic = partition.topic();
Map<ConsumerPair, Set<TopicPartition>> partitionMovementsForThisTopic = partitionMovementsByTopic.get(topic);
partitionMovementsForThisTopic.get(pair).remove(partition);
if (partitionMovementsForThisTopic.get(pair).isEmpty())
partitionMovementsForThisTopic.remove(pair);
if (partitionMovementsByTopic.get(topic).isEmpty())
partitionMovementsByTopic.remove(topic);
return pair;
}
private void addPartitionMovementRecord(TopicPartition partition, ConsumerPair pair) {
partitionMovements.put(partition, pair);
String topic = partition.topic();
if (!partitionMovementsByTopic.containsKey(topic))
partitionMovementsByTopic.put(topic, new HashMap<>());
Map<ConsumerPair, Set<TopicPartition>> partitionMovementsForThisTopic = partitionMovementsByTopic.get(topic);
if (!partitionMovementsForThisTopic.containsKey(pair))
partitionMovementsForThisTopic.put(pair, new HashSet<>());
partitionMovementsForThisTopic.get(pair).add(partition);
}
private void movePartition(TopicPartition partition, String oldConsumer, String newConsumer) {
ConsumerPair pair = new ConsumerPair(oldConsumer, newConsumer);
if (partitionMovements.containsKey(partition)) {
// this partition has previously moved
ConsumerPair existingPair = removeMovementRecordOfPartition(partition);
assert existingPair.dstMemberId.equals(oldConsumer);
if (!existingPair.srcMemberId.equals(newConsumer)) {
// the partition is not moving back to its previous consumer
// return new ConsumerPair2(existingPair.src, newConsumer);
addPartitionMovementRecord(partition, new ConsumerPair(existingPair.srcMemberId, newConsumer));
}
} else
addPartitionMovementRecord(partition, pair);
}
private TopicPartition getTheActualPartitionToBeMoved(TopicPartition partition, String oldConsumer, String newConsumer) {
String topic = partition.topic();
if (!partitionMovementsByTopic.containsKey(topic))
return partition;
if (partitionMovements.containsKey(partition)) {
// this partition has previously moved
assert oldConsumer.equals(partitionMovements.get(partition).dstMemberId);
oldConsumer = partitionMovements.get(partition).srcMemberId;
}
Map<ConsumerPair, Set<TopicPartition>> partitionMovementsForThisTopic = partitionMovementsByTopic.get(topic);
ConsumerPair reversePair = new ConsumerPair(newConsumer, oldConsumer);
if (!partitionMovementsForThisTopic.containsKey(reversePair))
return partition;
return partitionMovementsForThisTopic.get(reversePair).iterator().next();
}
private boolean isLinked(String src, String dst, Set<ConsumerPair> pairs, List<String> currentPath) {
if (src.equals(dst))
return false;
if (pairs.isEmpty())
return false;
if (new ConsumerPair(src, dst).in(pairs)) {
currentPath.add(src);
currentPath.add(dst);
return true;
}
for (ConsumerPair pair: pairs)
if (pair.srcMemberId.equals(src)) {
Set<ConsumerPair> reducedSet = new HashSet<>(pairs);
reducedSet.remove(pair);
currentPath.add(pair.srcMemberId);
return isLinked(pair.dstMemberId, dst, reducedSet, currentPath);
}
return false;
}
private boolean in(List<String> cycle, Set<List<String>> cycles) {
List<String> superCycle = new ArrayList<>(cycle);
superCycle.remove(superCycle.size() - 1);
superCycle.addAll(cycle);
for (List<String> foundCycle: cycles) {
if (foundCycle.size() == cycle.size() && Collections.indexOfSubList(superCycle, foundCycle) != -1)
return true;
}
return false;
}
private boolean hasCycles(Set<ConsumerPair> pairs) {
Set<List<String>> cycles = new HashSet<>();
for (ConsumerPair pair: pairs) {
Set<ConsumerPair> reducedPairs = new HashSet<>(pairs);
reducedPairs.remove(pair);
List<String> path = new ArrayList<>(Collections.singleton(pair.srcMemberId));
if (isLinked(pair.dstMemberId, pair.srcMemberId, reducedPairs, path) && !in(path, cycles)) {
cycles.add(new ArrayList<>(path));
log.error("A cycle of length {} was found: {}", path.size() - 1, path.toString());
}
}
// for now we want to make sure there is no partition movements of the same topic between a pair of consumers.
// the odds of finding a cycle among more than two consumers seem to be very low (according to various randomized
// tests with the given sticky algorithm) that it should not worth the added complexity of handling those cases.
for (List<String> cycle: cycles)
if (cycle.size() == 3) // indicates a cycle of length 2
return true;
return false;
}
private boolean isSticky() {
for (Map.Entry<String, Map<ConsumerPair, Set<TopicPartition>>> topicMovements: this.partitionMovementsByTopic.entrySet()) {
Set<ConsumerPair> topicMovementPairs = topicMovements.getValue().keySet();
if (hasCycles(topicMovementPairs)) {
log.error("Stickiness is violated for topic {}"
+ "\nPartition movements for this topic occurred among the following consumer pairs:"
+ "\n{}", topicMovements.getKey(), topicMovements.getValue().toString());
return false;
}
}
return true;
}
}
/**
* <code>ConsumerPair</code> represents a pair of Kafka consumer ids involved in a partition reassignment. Each
* <code>ConsumerPair</code> object, which contains a source (<code>src</code>) and a destination (<code>dst</code>)
* element, normally corresponds to a particular partition or topic, and indicates that the particular partition or some
* partition of the particular topic was moved from the source consumer to the destination consumer during the rebalance.
* This class is used, through the <code>PartitionMovements</code> class, by the sticky assignor and helps in determining
* whether a partition reassignment results in cycles among the generated graph of consumer pairs.
*/
private static class ConsumerPair {
private final String srcMemberId;
private final String dstMemberId;
ConsumerPair(String srcMemberId, String dstMemberId) {
this.srcMemberId = srcMemberId;
this.dstMemberId = dstMemberId;
}
public String toString() {
return this.srcMemberId + "->" + this.dstMemberId;
}
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
result = prime * result + ((this.srcMemberId == null) ? 0 : this.srcMemberId.hashCode());
result = prime * result + ((this.dstMemberId == null) ? 0 : this.dstMemberId.hashCode());
return result;
}
@Override
public boolean equals(Object obj) {
if (obj == null)
return false;
if (!getClass().isInstance(obj))
return false;
ConsumerPair otherPair = (ConsumerPair) obj;
return this.srcMemberId.equals(otherPair.srcMemberId) && this.dstMemberId.equals(otherPair.dstMemberId);
}
private boolean in(Set<ConsumerPair> pairs) {
for (ConsumerPair pair: pairs)
if (this.equals(pair))
return true;
return false;
}
}
}
相关信息
相关文章
kafka AbstractPartitionAssignor 源码
0
赞
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
8、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦