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Kafka client whose producer requires explicit encoders.
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/**
* 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.protocol.ApiKeys;
import org.apache.kafka.common.protocol.ProtoUtils;
import org.apache.kafka.common.protocol.types.Schema;
import org.apache.kafka.common.protocol.types.Struct;
import org.apache.kafka.common.utils.CollectionUtils;
import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
public class ProduceRequest extends AbstractRequestResponse {
public static Schema curSchema = ProtoUtils.currentRequestSchema(ApiKeys.PRODUCE.id);
private static String ACKS_KEY_NAME = "acks";
private static String TIMEOUT_KEY_NAME = "timeout";
private static String TOPIC_DATA_KEY_NAME = "topic_data";
// topic level field names
private static String TOPIC_KEY_NAME = "topic";
private static String PARTITION_DATA_KEY_NAME = "data";
// partition level field names
private static String PARTITION_KEY_NAME = "partition";
private static String RECORD_SET_KEY_NAME = "record_set";
private final short acks;
private final int timeout;
private final Map partitionRecords;
public ProduceRequest(short acks, int timeout, Map partitionRecords) {
super(new Struct(curSchema));
Map> recordsByTopic = CollectionUtils.groupDataByTopic(partitionRecords);
struct.set(ACKS_KEY_NAME, acks);
struct.set(TIMEOUT_KEY_NAME, timeout);
List topicDatas = new ArrayList(recordsByTopic.size());
for (Map.Entry> entry : recordsByTopic.entrySet()) {
Struct topicData = struct.instance(TOPIC_DATA_KEY_NAME);
topicData.set(TOPIC_KEY_NAME, entry.getKey());
List partitionArray = new ArrayList();
for (Map.Entry partitionEntry : entry.getValue().entrySet()) {
ByteBuffer buffer = partitionEntry.getValue().duplicate();
Struct part = topicData.instance(PARTITION_DATA_KEY_NAME)
.set(PARTITION_KEY_NAME, partitionEntry.getKey())
.set(RECORD_SET_KEY_NAME, buffer);
partitionArray.add(part);
}
topicData.set(PARTITION_DATA_KEY_NAME, partitionArray.toArray());
topicDatas.add(topicData);
}
struct.set(TOPIC_DATA_KEY_NAME, topicDatas.toArray());
this.acks = acks;
this.timeout = timeout;
this.partitionRecords = partitionRecords;
}
public ProduceRequest(Struct struct) {
super(struct);
partitionRecords = new HashMap();
for (Object topicDataObj : struct.getArray(TOPIC_DATA_KEY_NAME)) {
Struct topicData = (Struct) topicDataObj;
String topic = topicData.getString(TOPIC_KEY_NAME);
for (Object partitionResponseObj : topicData.getArray(PARTITION_DATA_KEY_NAME)) {
Struct partitionResponse = (Struct) partitionResponseObj;
int partition = partitionResponse.getInt(PARTITION_KEY_NAME);
ByteBuffer records = partitionResponse.getBytes(RECORD_SET_KEY_NAME);
partitionRecords.put(new TopicPartition(topic, partition), records);
}
}
acks = struct.getShort(ACKS_KEY_NAME);
timeout = struct.getInt(TIMEOUT_KEY_NAME);
}
public short acks() {
return acks;
}
public int timeout() {
return timeout;
}
public Map partitionRecords() {
return partitionRecords;
}
public static ProduceRequest parse(ByteBuffer buffer) {
return new ProduceRequest(((Struct) curSchema.read(buffer)));
}
}
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