adixitconfluent commented on code in PR #16969: URL: https://github.com/apache/kafka/pull/16969#discussion_r1732968205
########## core/src/main/java/kafka/server/share/DelayedShareFetch.java: ########## @@ -0,0 +1,271 @@ +/* + * 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 kafka.server.share; + +import kafka.server.DelayedOperation; +import kafka.server.QuotaFactory; +import kafka.server.ReplicaManager; + +import org.apache.kafka.common.TopicIdPartition; +import org.apache.kafka.common.message.ShareFetchResponseData; +import org.apache.kafka.common.protocol.Errors; +import org.apache.kafka.common.record.FileRecords; +import org.apache.kafka.common.requests.FetchRequest; +import org.apache.kafka.common.requests.ListOffsetsRequest; +import org.apache.kafka.storage.internals.log.FetchPartitionData; + +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.util.Collections; +import java.util.HashMap; +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Map; +import java.util.Optional; +import java.util.Set; +import java.util.concurrent.CompletableFuture; +import java.util.stream.Collectors; + +import scala.Option; +import scala.Tuple2; +import scala.jdk.javaapi.CollectionConverters; +import scala.runtime.BoxedUnit; + +/** + * A delayed share fetch operation has been introduced in case there is no share partition for which we can acquire records. We will try to wait + * for MaxWaitMs for records to be released else complete the share fetch request. + */ +public class DelayedShareFetch extends DelayedOperation { + private final SharePartitionManager.ShareFetchPartitionData shareFetchPartitionData; + private final ReplicaManager replicaManager; + private final Map<SharePartitionManager.SharePartitionKey, SharePartition> partitionCacheMap; + + private static final Logger log = LoggerFactory.getLogger(DelayedShareFetch.class); + + DelayedShareFetch( + SharePartitionManager.ShareFetchPartitionData shareFetchPartitionData, + ReplicaManager replicaManager, + Map<SharePartitionManager.SharePartitionKey, SharePartition> partitionCacheMap) { + super(shareFetchPartitionData.fetchParams().maxWaitMs, Option.empty()); + this.shareFetchPartitionData = shareFetchPartitionData; + this.replicaManager = replicaManager; + this.partitionCacheMap = partitionCacheMap; + } + + @Override + public void onExpiration() { + } + + /** + * Complete the share fetch operation by fetching records for all partitions in the share fetch request irrespective + * of whether they have any acquired records. This is called when the fetch operation is forced to complete either + * because records can be acquired for some partitions or due to MaxWaitMs timeout. + */ + @Override + public void onComplete() { + log.trace("onCompletion of delayed share fetch request for group {}, member {}, " + + "topic partitions {}", shareFetchPartitionData.groupId(), + shareFetchPartitionData.memberId(), shareFetchPartitionData.partitionMaxBytes().keySet()); + + Map<TopicIdPartition, FetchRequest.PartitionData> topicPartitionData = topicPartitionDataForAcquirablePartitions(); + try { + if (topicPartitionData.isEmpty()) { + // No locks for share partitions could be acquired, so we complete the request with an empty response. + shareFetchPartitionData.future().complete(Collections.emptyMap()); + return; + } + log.trace("Fetchable share partitions data: {} with groupId: {} fetch params: {}", + topicPartitionData, shareFetchPartitionData.groupId(), shareFetchPartitionData.fetchParams()); + + replicaManager.fetchMessages( + shareFetchPartitionData.fetchParams(), + CollectionConverters.asScala( + topicPartitionData.entrySet().stream().map(entry -> + new Tuple2<>(entry.getKey(), entry.getValue())).collect(Collectors.toList()) + ), + QuotaFactory.UnboundedQuota$.MODULE$, + responsePartitionData -> { + log.trace("Data successfully retrieved by replica manager: {}", responsePartitionData); + List<Tuple2<TopicIdPartition, FetchPartitionData>> responseData = CollectionConverters.asJava( + responsePartitionData); + processFetchResponse(shareFetchPartitionData, responseData).whenComplete( + (result, throwable) -> { + if (throwable != null) { + log.error("Error processing fetch response for share partitions", throwable); + shareFetchPartitionData.future().completeExceptionally(throwable); + } else { + shareFetchPartitionData.future().complete(result); + } + // Releasing the lock to move ahead with the next request in queue. + releasePartitionsLock(shareFetchPartitionData.groupId(), topicPartitionData.keySet()); + }); + return BoxedUnit.UNIT; + }); + } catch (Exception e) { + // Release the locks acquired for the partitions in the share fetch request in case there is an exception + log.error("Error processing delayed share fetch request", e); + shareFetchPartitionData.future().completeExceptionally(e); + releasePartitionsLock(shareFetchPartitionData.groupId(), topicPartitionData.keySet()); + } + } + + /** + * Try to complete the fetch operation if we can acquire records for any partition in the share fetch request. + */ + @Override + public boolean tryComplete() { Review Comment: `DelayedShareFetch.tryComplete` will be called twice in my updated code - 1. When you add an entry to the purgatory, this function will be called internally when `delayedShareFetchPurgatory.tryCompleteElseWatch` is called [here](https://github.com/apache/kafka/pull/16969/files#diff-1e1484dbb3d93b6596214e2ec86a1fca08e2757f89eb801cebbef91f2d395406R513). 2. When you acknowledge a topic partition for which we have a pending share fetch request, we perform a a `checkAndComplete` [here](https://github.com/apache/kafka/pull/16969/files#diff-1e1484dbb3d93b6596214e2ec86a1fca08e2757f89eb801cebbef91f2d395406R295). 3. When you release acquired records for a topic partition for which we have a pending share fetch request, we perform a a `checkAndComplete` [here](https://github.com/apache/kafka/pull/16969/files#diff-1e1484dbb3d93b6596214e2ec86a1fca08e2757f89eb801cebbef91f2d395406R349) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. 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