kafka PartitionsSpec 源码
kafka PartitionsSpec 代码
文件路径:/trogdor/src/main/java/org/apache/kafka/trogdor/workload/PartitionsSpec.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.trogdor.workload;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import org.apache.kafka.clients.admin.NewTopic;
import org.apache.kafka.trogdor.rest.Message;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
/**
* Describes some partitions.
*/
public class PartitionsSpec extends Message {
private final static short DEFAULT_REPLICATION_FACTOR = 3;
private final static short DEFAULT_NUM_PARTITIONS = 1;
private final int numPartitions;
private final short replicationFactor;
private final Map<Integer, List<Integer>> partitionAssignments;
private final Map<String, String> configs;
@JsonCreator
public PartitionsSpec(@JsonProperty("numPartitions") int numPartitions,
@JsonProperty("replicationFactor") short replicationFactor,
@JsonProperty("partitionAssignments") Map<Integer, List<Integer>> partitionAssignments,
@JsonProperty("configs") Map<String, String> configs) {
this.numPartitions = numPartitions;
this.replicationFactor = replicationFactor;
HashMap<Integer, List<Integer>> partMap = new HashMap<>();
if (partitionAssignments != null) {
for (Entry<Integer, List<Integer>> entry : partitionAssignments.entrySet()) {
int partition = entry.getKey() == null ? 0 : entry.getKey();
ArrayList<Integer> assignments = new ArrayList<>();
if (entry.getValue() != null) {
for (Integer brokerId : entry.getValue()) {
assignments.add(brokerId == null ? Integer.valueOf(0) : brokerId);
}
}
partMap.put(partition, Collections.unmodifiableList(assignments));
}
}
this.partitionAssignments = Collections.unmodifiableMap(partMap);
if (configs == null) {
this.configs = Collections.emptyMap();
} else {
this.configs = Collections.unmodifiableMap(new HashMap<>(configs));
}
}
@JsonProperty
public int numPartitions() {
return numPartitions;
}
public List<Integer> partitionNumbers() {
if (partitionAssignments.isEmpty()) {
ArrayList<Integer> partitionNumbers = new ArrayList<>();
int effectiveNumPartitions = numPartitions <= 0 ? DEFAULT_NUM_PARTITIONS : numPartitions;
for (int i = 0; i < effectiveNumPartitions; i++) {
partitionNumbers.add(i);
}
return partitionNumbers;
} else {
return new ArrayList<>(partitionAssignments.keySet());
}
}
@JsonProperty
public short replicationFactor() {
return replicationFactor;
}
@JsonProperty
public Map<Integer, List<Integer>> partitionAssignments() {
return partitionAssignments;
}
@JsonProperty
public Map<String, String> configs() {
return configs;
}
public NewTopic newTopic(String topicName) {
NewTopic newTopic;
if (partitionAssignments.isEmpty()) {
int effectiveNumPartitions = numPartitions <= 0 ?
DEFAULT_NUM_PARTITIONS : numPartitions;
short effectiveReplicationFactor = replicationFactor <= 0 ?
DEFAULT_REPLICATION_FACTOR : replicationFactor;
newTopic = new NewTopic(topicName, effectiveNumPartitions, effectiveReplicationFactor);
} else {
newTopic = new NewTopic(topicName, partitionAssignments);
}
if (!configs.isEmpty()) {
newTopic.configs(configs);
}
return newTopic;
}
}
相关信息
相关文章
kafka ConfigurableProducerSpec 源码
kafka ConfigurableProducerWorker 源码
kafka ConnectionStressWorker 源码
kafka ConstantFlushGenerator 源码
kafka ConstantPayloadGenerator 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