kafka FetchSnapshotResponse 源码
kafka FetchSnapshotResponse 代码
文件路径:/clients/src/main/java/org/apache/kafka/common/requests/FetchSnapshotResponse.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.common.requests;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.message.FetchSnapshotResponseData;
import org.apache.kafka.common.protocol.ApiKeys;
import org.apache.kafka.common.protocol.ByteBufferAccessor;
import org.apache.kafka.common.protocol.Errors;
import java.nio.ByteBuffer;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;
import java.util.Optional;
import java.util.function.UnaryOperator;
final public class FetchSnapshotResponse extends AbstractResponse {
private final FetchSnapshotResponseData data;
public FetchSnapshotResponse(FetchSnapshotResponseData data) {
super(ApiKeys.FETCH_SNAPSHOT);
this.data = data;
}
@Override
public Map<Errors, Integer> errorCounts() {
Map<Errors, Integer> errors = new HashMap<>();
Errors topLevelError = Errors.forCode(data.errorCode());
if (topLevelError != Errors.NONE) {
errors.put(topLevelError, 1);
}
for (FetchSnapshotResponseData.TopicSnapshot topicResponse : data.topics()) {
for (FetchSnapshotResponseData.PartitionSnapshot partitionResponse : topicResponse.partitions()) {
errors.compute(Errors.forCode(partitionResponse.errorCode()),
(error, count) -> count == null ? 1 : count + 1);
}
}
return errors;
}
@Override
public int throttleTimeMs() {
return data.throttleTimeMs();
}
@Override
public void maybeSetThrottleTimeMs(int throttleTimeMs) {
data.setThrottleTimeMs(throttleTimeMs);
}
@Override
public FetchSnapshotResponseData data() {
return data;
}
/**
* Creates a FetchSnapshotResponseData with a top level error.
*
* @param error the top level error
* @return the created fetch snapshot response data
*/
public static FetchSnapshotResponseData withTopLevelError(Errors error) {
return new FetchSnapshotResponseData().setErrorCode(error.code());
}
/**
* Creates a FetchSnapshotResponseData with a single PartitionSnapshot for the topic partition.
*
* The partition index will already by populated when calling operator.
*
* @param topicPartition the topic partition to include
* @param operator unary operator responsible for populating all of the appropriate fields
* @return the created fetch snapshot response data
*/
public static FetchSnapshotResponseData singleton(
TopicPartition topicPartition,
UnaryOperator<FetchSnapshotResponseData.PartitionSnapshot> operator
) {
FetchSnapshotResponseData.PartitionSnapshot partitionSnapshot = operator.apply(
new FetchSnapshotResponseData.PartitionSnapshot().setIndex(topicPartition.partition())
);
return new FetchSnapshotResponseData()
.setTopics(
Collections.singletonList(
new FetchSnapshotResponseData.TopicSnapshot()
.setName(topicPartition.topic())
.setPartitions(Collections.singletonList(partitionSnapshot))
)
);
}
/**
* Finds the PartitionSnapshot for a given topic partition.
*
* @param data the fetch snapshot response data
* @param topicPartition the topic partition to find
* @return the response partition snapshot if found, otherwise an empty Optional
*/
public static Optional<FetchSnapshotResponseData.PartitionSnapshot> forTopicPartition(
FetchSnapshotResponseData data,
TopicPartition topicPartition
) {
return data
.topics()
.stream()
.filter(topic -> topic.name().equals(topicPartition.topic()))
.flatMap(topic -> topic.partitions().stream())
.filter(parition -> parition.index() == topicPartition.partition())
.findAny();
}
public static FetchSnapshotResponse parse(ByteBuffer buffer, short version) {
return new FetchSnapshotResponse(new FetchSnapshotResponseData(new ByteBufferAccessor(buffer), version));
}
}
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