kafka LeaderEndPoint 源码
kafka LeaderEndPoint 代码
文件路径:/core/src/main/scala/kafka/server/LeaderEndPoint.scala
/*
* 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
import kafka.cluster.BrokerEndPoint
import kafka.server.AbstractFetcherThread.{ReplicaFetch, ResultWithPartitions}
import org.apache.kafka.common.TopicPartition
import org.apache.kafka.common.requests.FetchRequest
import org.apache.kafka.common.message.OffsetForLeaderEpochResponseData.EpochEndOffset
import org.apache.kafka.common.message.{FetchResponseData, OffsetForLeaderEpochRequestData}
import scala.collection.Map
/**
* This trait defines the APIs to be used to access a broker that is a leader.
*/
trait LeaderEndPoint {
type FetchData = FetchResponseData.PartitionData
type EpochData = OffsetForLeaderEpochRequestData.OffsetForLeaderPartition
/**
* A boolean specifying if truncation when fetching from the leader is supported
*/
def isTruncationOnFetchSupported: Boolean
/**
* Initiate closing access to fetches from leader.
*/
def initiateClose(): Unit
/**
* Closes access to fetches from leader.
* `initiateClose` must be called prior to invoking `close`.
*/
def close(): Unit
/**
* The specific broker (host:port) we want to connect to.
*/
def brokerEndPoint(): BrokerEndPoint
/**
* Given a fetchRequest, carries out the expected request and returns
* the results from fetching from the leader.
*
* @param fetchRequest The fetch request we want to carry out
*
* @return A map of topic partition -> fetch data
*/
def fetch(fetchRequest: FetchRequest.Builder): Map[TopicPartition, FetchData]
/**
* Fetches the log start offset of the given topic partition from the leader.
*
* @param topicPartition The topic partition that we want to fetch from
* @param currentLeaderEpoch An int representing the current leader epoch of the requester
*
* @return A long representing the earliest offset in the leader's topic partition.
*/
def fetchEarliestOffset(topicPartition: TopicPartition, currentLeaderEpoch: Int): Long
/**
* Fetches the log end offset of the given topic partition from the leader.
*
* @param topicPartition The topic partition that we want to fetch from
* @param currentLeaderEpoch An int representing the current leader epoch of the requester
*
* @return A long representing the latest offset in the leader's topic partition.
*/
def fetchLatestOffset(topicPartition: TopicPartition, currentLeaderEpoch: Int): Long
/**
* Fetches offset for leader epoch from the leader for each given topic partition
*
* @param partitions A map of topic partition -> leader epoch of the replica
*
* @return A map of topic partition -> end offset for a requested leader epoch
*/
def fetchEpochEndOffsets(partitions: Map[TopicPartition, EpochData]): Map[TopicPartition, EpochEndOffset]
/**
* Builds a fetch request, given a partition map.
*
* @param partitions A map of topic partitions to their respective partition fetch state
*
* @return A ResultWithPartitions, used to create the fetchRequest for fetch.
*/
def buildFetch(partitions: Map[TopicPartition, PartitionFetchState]): ResultWithPartitions[Option[ReplicaFetch]]
}
相关信息
相关文章
kafka AbstractFetcherManager 源码
kafka AbstractFetcherThread 源码
kafka AlterPartitionManager 源码
0
赞
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
7、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦